Skip to main content
Cells logoLink to Cells
. 2023 Mar 29;12(7):1043. doi: 10.3390/cells12071043

Current Knowledge about the Impact of Microgravity on Gene Regulation

Thomas J Corydon 1,2,*, Herbert Schulz 3,4,5, Peter Richter 6, Sebastian M Strauch 7, Maik Böhmer 8, Dario A Ricciardi 8, Markus Wehland 3,4,5, Marcus Krüger 3,5, Gilmar S Erzinger 7, Michael Lebert 6, Manfred Infanger 3,4,5, Petra M Wise 3,5,9, Daniela Grimm 1,3,4,5
Editor: Maria A Mariggiò
PMCID: PMC10093652  PMID: 37048115

Abstract

Microgravity (µg) has a massive impact on the health of space explorers. Microgravity changes the proliferation, differentiation, and growth of cells. As crewed spaceflights into deep space are being planned along with the commercialization of space travelling, researchers have focused on gene regulation in cells and organisms exposed to real (r-) and simulated (s-) µg. In particular, cancer and metastasis research benefits from the findings obtained under µg conditions. Gene regulation is a key factor in a cell or an organism’s ability to sustain life and respond to environmental changes. It is a universal process to control the amount, location, and timing in which genes are expressed. In this review, we provide an overview of µg-induced changes in the numerous mechanisms involved in gene regulation, including regulatory proteins, microRNAs, and the chemical modification of DNA. In particular, we discuss the current knowledge about the impact of microgravity on gene regulation in different types of bacteria, protists, fungi, animals, humans, and cells with a focus on the brain, eye, endothelium, immune system, cartilage, muscle, bone, and various cancers as well as recent findings in plants. Importantly, the obtained data clearly imply that µg experiments can support translational medicine on Earth.

Keywords: microgravity, gene expression, gene regulation, space, cancer, cells, plants, microorganisms

1. Introduction

Outer space is humanity’s dream, and this adventure is becoming a reality. Recently, the Orion spacecraft returned to Earth. Splashdown was on 11 December 2022. The robotic and human Moon exploration program (ARTEMIS) of the National Aeronautics and Space Administration (NASA), European Space Agency (ESA), Japanese Aerospace Exploration Agency (JAXA), and the Canadian Space Agency (CSA) has started. The major objective of ARTEMIS is to build a base on the Moon and thus facilitate human exploration of Mars.

While conquering space, astronauts, cosmonauts, and taikonauts, together with space tourists, will face microgravity (µg) and cosmic radiation, among other stressors. In addition, on their journey to the Moon and Mars, humans in space will live under the influence of the different gravity levels ranging from 1g to real (r-) µg conditions on the Moon (0.17g) or Mars (0.376g) [1]. Normally, all Earth’s creatures are accustomed to gravity’s force, and gravity changes will significantly influence these organisms’ health and function. Therefore, detailed medical examinations have been performed on humans reporting various health problems occurring early and late during space missions [2]. For example, standing upright on Earth gathers fluid in the lower extremities. Under µg conditions, the fluid becomes displaced into the chest and head (so-called ‘puffy face’), and the astronauts exhibit ‘bird legs’ (very slender legs) [3]. Furthermore, there is an increase in heart filling and diuresis, which leads to an overall reduction in blood volume and an elevation in hematocrit. In addition, space travelers excrete around 1.5 L of urine during the first few hours in space. Cardiovascular problems comprise arrhythmias, cardiac atrophy, low blood pressure, and orthostatic intolerance [4]. In addition, many astronauts suffer from space travel-sickness, the so-called space adaptation syndrome (SAS), associated with nausea and vomiting [5]. Other health problems are space flight-associated neuro-ocular syndrome (SANS) [6] and back pain [7]. Since the spine is stretched by µg and becomes almost straight, the astronauts’ height increases by up to 7.5 cm on the International Space Station (ISS). After the spaceflight, many astronauts continue to experience back pain and report problems with the intervertebral discs [7].

In addition, weightlessness affects the skeletal muscles, leading to a decrease in muscle mass, strength, and endurance [2]. Furthermore, low gravity increases calcium loss from bones, inhibits bone formation, and reduces bone mass and osteoporosis [8]. The result is an increase in kidney stone formation. Furthermore, the immune system is impaired. As consequence, space travelers exhibit an increased susceptibility to infections, the reactivation of dormant viruses, and disturbed wound healing on long-term missions [2,9].

It has been known for many years that real (r-) and simulated (s-) µg induce various changes in cells, microorganisms, animals, and plants [10]. Gene regulation is the key factor to the ability of a cell or an organism to sustain life and respond to environmental changes. It is a universal process used to control the amount and spatiotemporal expression of genes. Multiple publications have so far demonstrated that µg changes the gene expression pattern and alters signal transduction pathways in various cell types [11,12,13,14]. Omics studies have been performed to enlarge the current knowledge about the impact of the space environment on humans, rodents, cells, and plants. NASA’s GeneLab database (https://genelab.nasa.gov/) is available and provides access to omics data from space and µg simulation studies [15]. This database supports the generation of new data, facilitates the proposal of new hypotheses, provides high school student-training programs, and finally helps define the risks of human space-exploration [15].

This concise review summarizes the latest results published over the last five years (2017–2023) on µg-induced alterations in the gene expression of bacteria, protists, fungi, animals, humans, cells, and plants. The review will cover changes in the numerous mechanisms involved in gene regulation, including regulatory proteins, microRNAs, and the chemical modification of DNA. All these publications point to the fact that µg is an extreme stressor affecting gene expression and results in numerous problems that must be addressed before and during space missions.

2. Materials and Methods

To collect suitable studies, PubMed (https://pubmed.ncbi.nlm.nih.gov/), Scopus (https://www.scopus.com/home.uri), Embase (https://www.embase.com), Web of Science (https://clarivate.com), and Google scholar (https://scholar.google.com/) (last accessed on 23 March 2023) were queried using the search terms “(microgravity) AND (bone)”, “(weightlessness) AND (bone)”, “(microgravity) AND (muscle)”, “(weightlessness) AND (muscle)”, “(microgravity) AND (cartilage)”, “(weightlessness) AND (cartilage)”, “(thyroid cancer) AND (microgravity)”, “(thyroid cancer) AND (weightlessness)”, “(prostate cancer) AND (microgravity)”, “(prostate cancer) AND (weightlessness)”, “(breast cancer) AND (microgravity)”, “(breast cancer) AND (weightlessness)”, “(lung cancer) AND (microgravity)”, “(lung cancer) AND (weightlessness)”, “(immune system) AND (microgravity)”, “(immune system) AND (weightlessness)”, “(t cells) AND (microgravity)”, “(t cells) AND (weightlessness)”, “(colorectal cancer) AND (microgravity)”, “(colorectal cancer) AND (weightlessness)”, “(colorectal cancer) AND (spaceflight)”, “(colorectal cancer) AND (space travel)”, “(colorectal cancer) AND (astronaut)”, “(colorectal cancer) AND (cosmonaut)”, “(hepatocellular cancer) AND (microgravity)”, “(hepatocellular cancer) AND (weightlessness)”, “(hepatocellular cancer) AND (spaceflight)”, “(hepatocellular cancer) AND (space travel)”, “(hepatocellular cancer) AND (astronaut)”, “(hepatocellular cancer) AND (cosmonaut)”, “(gastric cancer) AND (microgravity)”, “(gastric cancer) AND (weightlessness)”, “(gastric cancer) AND (spaceflight)”, “(gastric cancer) AND (space travel)”, “(gastric cancer) AND (astronaut)”, “(gastric cancer) AND (cosmonaut)”, “(brain) AND (microgravity)”, “(brain) AND (weightlessness)”, “((eye) OR (eyes)) AND ((microgravity) OR (simulated microgravity) OR (real microgravity) OR (weightlessness) OR (weightlessness simulation) OR (space flight) OR (spaceflight) OR (clinostat microgravity))”, “(pancreatic cancer) AND (microgravity)”, “(pancreatic cancer) AND (weightlessness)”, “(pancreatic cancer) AND (spaceflight)”, “(pancreatic cancer) AND (space travel)”, “(pancreatic cancer) AND (astronaut)”, “(pancreatic cancer) AND (cosmonaut)”, “(melanoma) AND (microgravity)”, “(melanoma) AND (weightlessness)”, “(melanoma) AND (spaceflight)”, “(melanoma) AND (space travel)”, “(melanoma) AND (astronaut)”, “(melanoma) AND (cosmonaut)”, “(plant) AND (microgravity)”, “(plant) AND (microgravity)”, “(endothelial cells) AND (microgravity)”, “(endothelial cells) AND (weightlessness)” in conjunction with all their combinations with “AND (gene expression)“, “AND (gene regulation), “AND (genetics)”, and “AND (transcriptome)”. For the chapters covering bacteria, protists, fungi, and animals excluding mice, “gene expression AND microgravity” was used as a search term in Google scholar. Subsequently, hits containing “cancer”, “stem”, “thaliana”, “plant”, “human”, “mice”, and “skeletal” were eliminated. The remaining papers were checked for actual relevance; duplicates, conference posters, and conference papers were excluded, and relevant references from the remaining papers were included (assessed on 8 March 2023).

For all searches, results were confined to hits from 2017 to 2023 and given in Figure 1.

Figure 1.

Figure 1

PRISMA flow diagram: literature search results for this concise review (made with https://estech.shinyapps.io/prisma_flowdiagram/), accessed on 9 March 2023.

3. Results

3.1. Microgravity Platforms

Research in µg requires special efforts. While accelerations above 1g are easily achieved in the laboratory, e.g., by centrifuges, µg conditions cannot be set up on demand. However, there are certain experimental facilities allowing experiments in µg. We provide a brief overview of the different possibilities. Key parameters are shown in Table 1.

Table 1.

Key parameters of different microgravity platforms.

Platforms µg Duration Residual
Acceleration
Preparation Time Cost Estimates [16] Reference
Bremen Drop Tower:
drop
catapult

4.74 s
9.3 s

<10−6 × g
<10−6 × g
few months ≈5 k€ [17,18]
NASA Zero Gravity Research Facility 5.18 s <10−5 × g few months ≈5 k€ [19,20]
Einstein-Elevator:
drop
lift/drop

2 s
4 s

<10−6 × g
<10−6 × g
n/a n/a [21]
Parabolic flight 22 s <10−2 × g months ≈125 k€ [22]
Sounding rocket 6 min, 13 min <10−4 × g years >400 k€ [23]
New Shepard 3 min <5 × 10−3 × g years n/a [24]
Satellites, taxi flights days to weeks <10−5 × g years n/a [25,26,27]
ISS, Tiangong months to years >10−6 × g years ≈1–5 M€ [28]

Abbreviations: Gravity (g); not available (n/a); million (M); seconds (s); thousand (k).

If a body submits to an acceleration, no force is exerted upon it. Therefore, a freefall in an evacuated tube (no air drag) generates moments of weightlessness. The experiment must be housed in a sturdy, pressurized container that survives the deceleration upon impact at the bottom of the tube. Different designs exist: the evacuated tube can either be interred or erected inside a shielding tower. An example of the first design is NASA’s Zero Gravity Research Facility at the Glenn Research Centre [19]: a 155 m deep bore houses a steel tube in which an experimental carrier capsule is dropped. The second design is used at the Bremen Drop Tower, Germany [29]: here, a concrete tower of 146 m in height houses a drop tube of 122 m. In 2004, a catapult was installed underneath the deceleration bucket [17]. Catapulting the experiment capsule upwards before it falls back down doubles the µg period, but it introduces a strong acceleration event during launch. Smaller versions only allow for short periods of µg, but are simpler to construct as they do not need an evacuated tube. These facilities have become widely used in recent years [30,31]. Recently, a novel concept was developed at the Einstein-Elevator at Hannover University, Germany [21]. Here, an elevator-like cabin (the gondola) moves on rails within a 40 m tower. The experiment capsule resides within the gondola, the only volume to be evacuated. The gondola can be dropped or accelerated from the bottom to the top to fall back again. The experiment capsule floats freely inside the gondola. The same design is also implemented in the latest drop capsules at the Bremen Drop Tower for highly sensitive experiments [18]. Theoretically, one drop per every four minutes is possible at the Einstein-Elevator, adding up to 100 drops on a typical 8-h workday. However, the actual number of drops per day highly depends on the individual experiment design. A similar facility is under construction at the Chinese Academy of Sciences [32]. In general, drop tower experiments must be fully automated. Of all platforms, drop towers offer the most frequent experiment opportunities, limited only by preparation time and funding.

Parabolic flights provide more prolonged periods of µg [22]. A typical parabolic flight campaign (PFC) offered by the company Novespace, Bordeaux-Merignac, France, contains 3–4 flight days with 31 parabolas on each flight [33]. During a parabola, the plane first climbs at an ever-increasing angle (“pull-up”). At 50° (“injection”), thrust is reduced, and the plane and everything in it assumes the path of a parabola: the µg period begins (Figure 2A). Next, the plane climbs to the apex point and begins a downward trajectory. The pilots adjust the flight path for drag and reorient the plane accordingly. At an angle of approximately −42°, the power to the engines is restored and the plane is pulled back into the horizontal (“pull-out”), which marks the end of the µg period (Figure 2A). A parabolic flight allows scientists to accompany their experiment in the plane (Figure 2B), so it must not be fully automated (Figure 2B–D). It also allows for the exchange sample containers to obtain more material for further analysis. However, samples produced later in the flight have experienced all changes in gravity that occurred before, which has to be considered during the analysis. PFCs take place multiple times per year, making them the second most available µg platforms.

Figure 2.

Figure 2

Parabolic flight campaign (PFC). (A) Time sequence of a parabola. (B) Airbus A310 AirZeroG aircraft from Novespace at the PFC in Bordeaux, France (October 2022). (C) The PFC flight rack with an incubator. (D) The injection unit of the flight rack during preparation. It is used for fixation of the cells with RNAlater or other fixatives.

The Earth’s gravity must be left behind to achieve more extended periods of µg exposure. Sounding rockets fly on a ballistic curve and reach space (>100 km height) [23]. Various rocket sizes are available, offering different µg times. All experiments must be fully automated. The New Shepard Rocket from Blue Origin is not a traditional sounding rocket and offers opportunities to conduct experiments during its qualification phase [24]. These platforms are available only a few times per year.

Historically, µg periods from days to weeks were achieved by flights with Russian recoverable satellites or, in the past, with the Space Shuttle (officially called the Space Transportation System (STS)). These opportunities are now quite rare: STS retired in 2011, and as of 2022, only one campaign with the Russian BION M-2 is being prepared, and plans for a new biosatellite were recently announced [34]. A Chinese biosatellite was launched in 2016, but it is unclear whether this approach will be pursued further [28]. Sometimes, experiments can be performed on resupply missions to the ISS [25,26]. A rather new approach is to miniaturize and automatize experiments so that they fit into a CubeSat [35]. The smallest format called 1U (for unit) measures approximately 10 × 10 × 10 cm. Units can be combined to form 2U, 3U, or 6U versions. The constraints regarding space and mass are challenging, although the cost for launching is quite affordable due to their small size. Other than the platforms described before, CubeSats are not capable of returning samples to the laboratory, which makes advanced analyses nearly impossible. Nevertheless, biological experiments were successfully conducted or launched as recently as 2022 in the context of the ARTEMIS mission [36,37].

The longest µg exposure can be achieved on the ISS: the duration is basically unlimited [38]. Not only does the potential exposure time trump all other platforms, but so do costs and preparation time, making the ISS a rather exclusive research facility. In addition, 1g reference centrifuges are installed onboard to allow for 1g inflight controls, which gives a vital control to check for space-specific factors [39]. In 2021, the People’s Republic of China launched the core module Tianhe of its own Space Station, Tiangong. Tiangong is a Chinese national project, but non-Chinese scientists can obtain access via collaborations and benefit from the additional capacity for µg experiments [40]. As of November 2022, two science modules, ‘Wentian’ and ‘Mengtian’, have completed the station in its first-stage configuration. In the same way as experiments on Biosatellites, taxi flights, and CubeSats, experiments on the ISS are quite rare as compared to experiments on the platforms described earlier.

Due to the limited possibilities for r-µg exposure, techniques to simulate µg were developed. It is a subject of discussion whether these techniques achieve their objectives or merely exert some stress on the test subjects, rendering results different from 1g controls. Numerous studies compared r-µg results with those obtained with various simulations [41,42] and showed that their suitability depends on the test organism.

Using a two-dimensional (2D)- or three-dimensional (3D)-clinostat, a sample can be rotated on one or two axes so the resulting force averages to zero [43]. A similar device, the random positioning machine (RPM), rotates the sample in a non-continuous movement, including directional changes, achieving a similar result (Figure 3) [44]. However, the assumption that gravity is nullified is only valid for a point right in the center of the movement because outside of it, the rotational movement of the sample will result in the application of a centrifugal force. Therefore, this method is limited to small organisms or small parts of tissue samples placed in the center of the movement.

Figure 3.

Figure 3

Ground-based s-µg facilities: (A) The Random Positioning Incubator (RPI) developed by the ‘Fachhochschule Nordwestschweiz’ (FHNW) and the ‘Eidgenössische Technische Hochschule’ (ETH) Zurich, Switzerland, (B) a desk-top random positioning machine housed in an incubator purchased from Yuri GmbH Meckenbeuren, Germany, (C) the NASA-developed Rotating Wall Vessel, (D) the ClinoStar CO2 incubator with integrated clinostat (CelVivo ApS, Odense, Denmark), and (E) a 2D fast-rotating clinostat for adherent cells in slide flasks (developed by the German Space Agency, Cologne, Germany).

Rotating wall (perfusion) vessels (RWVs or RWPVs, also high aspect ratio vessels, HARVs or low-shear modelled microgravity (LSMMG)) are cylinders filled with liquid (medium) in which particles or organisms are suspended (Figure 3C) [45,46,47]. The rotation compensates for the sedimentation of the particles, keeping them in suspension (and therefore, the considerations in Dedolph and Dipert apply just as well).

The rotating cell culture system (RCCS) is a similar type, which uses Petri dish-like vessels. Recently, simpler designs for custom-made devices were validated to make the technology more accessible [48,49].

Diamagnetism describes that a non-para- or non-ferromagnetic substance is repelled by an external magnetic field because it induces a magnetic field in the opposite direction. Because many organic compounds and water are diamagnetic, biomatter can be suspended in a strong enough magnetic field (>15 T). This so-called magnetic levitation can be used to simulate µg. It is commonly used for the exposition of cell cultures [50], tissues, and small organisms [51]; however, a preprint paper has outlined the possibility of construction in the near future of a magnetic levitation device large enough to accommodate a person over more extended periods [52].

A well-known method to simulate µg in rodents is hindlimb suspension (also called hindlimb unloading or anti-orthostatic rodent suspension) [53]. Here, the animal’s hindquarters are lifted by its tail with a pulley above the cage. The animal behaves normally after some days of adaptation, using only its front legs for moving around in its cage. This simulates both the unloading of the force onto the bones and muscles and the cephalic fluid shift.

At present, the only practical methods to simulate the effects of µg on humans are head-down bed rest (HDBR) studies: the test person lies on an inclined bed (−6°) with their heads lower than their feet. Experiments last from days to many weeks. Typical effects resulting from r-µg exposure, such as reduced bone density, muscle mass, and muscular strength, or cephalic fluid shift, are also observed in HDBR [54].

Finally, it is important to stress that caution should always be exercised when comparing data obtained by ground-based models of µg without radiation to experiments conducted in real µg which per se include a significant additional ionizing radiation. One way to solve this problem is to use an onboard 1g reference centrifuge during the spaceflight [38].

3.2. Recent Reports on Microgravity Effects on Bacteria, Protists, and Fungi

3.2.1. Microgravity Affects Homeostasis between Microbiome and Host

The µg environment poses many stressors on astronauts. Siddiqui et al. believe in the importance of maintaining a healthy gut biome during long-term space exposure because of the correlation between gut biome and health [55]. The gut biome interacts with the immune system and is vital for bone and muscle physiology and general metabolic and neurological health. Gut bacteria and their metabolites (e.g., short-chain fatty acids) affect tissue functions and the enteric nervous system. Spaceflight strongly dysregulates the diversity and composition of the gut biome [56]. Dysbiosis of the gut biome may lead to increased gut permeability triggering the release of inflammatory interleukins, tumor necrosis factor (TNF), and vascular endothelial growth factor a (VEGFa) [55]. It is important to note that bacteria are not the sole organisms in the gut. Viruses, archaea, fungi, and eukaryotic parasites/commensals such as helminths, which all interact with each other, must also be considered. Different groups of organisms have different effects on the host immune system. As reviewed in Vemuri et al. [57], certain bacteria, viruses, some archaea, and fungi stimulate macrophages or dendritic cells (which in turn activate macrophages), which trigger T cells and T helper cells, leading to inflammation. In contrast, other bacteria, archaea, and helminths regulate Foxp3-expressing T regulatory (Tregs) cells, which downregulate active T helper cells and, by this, have a more anti-inflammatory effect. To our best knowledge, the effects of µg on these complicated interactions of the gut organisms and possible impacts on homeostasis during spaceflight leading to inflammation-inducing dysbiosis have not yet been reported.

Probiotic organisms are supposed to support a properly functioning intestinal system. One such organism, Lactobacillus reuteri, was exposed to s-µg using an RWV and RPM [58]. Interestingly, the two different approaches to simulating µg rendered rather different results, which suggests that Lactobacillus reuteri can sense a difference and react differently: over time, cells on the RWV tended to upregulate the investigated generic stress genes, while cells on the RPM reacted by downregulation. It is noteworthy that cell density did not significantly differ at the end of the experiment, and production of the antimicrobial substance reuterin was higher in both simulation methods than in the 1g control.

Wang et al. proposed that the dysregulation of the immune system affects the balanced gut microbiome, leading from a healthy gut biome with commensals to a diseased gut biome [59].

During a hindlimb unloaded (HU) study using mice, it was found that dysbiosis in the gut microbiome became evident after three days. The fraction of firmicutes (which includes mainly the genera Enterococcus, Lactobacillus, Clostridium, and Faecalibacterium) increased. This dysregulation is likely caused by cellular stress because 4-phenyl butyric acid (4-PBA), which mitigates ER stress, was found to be a countermeasure against dysbiosis compared to control mice [60].

The microbiome of plants is also affected by µg. Simulated µg affects the composition of endophytic bacteria [61]. An increase in Enterobacteriaceae and Pseudomonadaceae and decreases in Burkholderiaceae and Bacillaceae in the wheat rhizosphere were found. This is most likely due to a change in root metabolites. Decreases in carbohydrate metabolism, phenylalanine, tyrosine, and tryptophan biosynthesis, flavonoid biosynthesis, and benzoxazinoid biosynthesis functional pathways were detected as well as an increase in metabolites within the amino acid metabolic pathways, such as tyrosine metabolism, cysteine, and methionine metabolism, lysine biosynthesis, alanine, and aspartate and glutamate metabolism. In addition, specific significantly altered secreted metabolites such as D-glucuronate, D-ribose, arbutin, epicatechin, or indoleacetic acid, influenced and changed the microbial composition. Arbutin, D-glucuronate, D-ribose, and epicatechin were found to be positively correlated with Burkholderiaceae and negatively correlated with Enterobacteriaceae. Homovanillic acid excretion correlated negatively with Burkholderiaceae and indole negatively with Pseudomonadacea.

3.2.2. Microgravity and Virulence

Green et al. analyzed studies concerning bacteria and the human immune system under µg or low-shear force environment [62]. Astronauts face an increased risk of infections because the proliferation, biofilm formation, and expression of virulence genes in bacteria are often increased (recent reports, e.g., [63,64]), while in turn, the human immune system is impaired under space conditions [65,66,67]. Among others, changes in the cytokine expression influencing the cross-talk between the immune cells, decreased pathogen recognition, and changes in the composition of immune cells, as well as a decreased production of granzyme B and perforin, were identified [62,68]. Analyses of the proteome and transcriptome of human epithelial cells infected with Salmonella typhimurium during the STL-IMMUNE study onboard the Space Shuttle mission STS-131 revealed significant differences between cells infected on the ground and those infected in space [69]. Enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were tumor necrosis factor (TNF) signaling, nuclear factor-kappa B (NF-κB) signaling, NOD-like receptor signaling, and legionellosis, among others.

Microgravity does not always lead to increased virulence in bacteria strains. For instance, the virulence of Yersinia pestis exposed to s-µg was reduced [70]. Many virulence-related genes, such as genes for the type-III secretion system, were downregulated. Mice infected with s-µg bacteria died with some delay compared to those infected with control cells, indicating a lower degree of virulence. In addition, biofilm formation was found to be decreased in s-µg [63]. Changes in the virulence of harmful microorganisms threaten crewed spaceflights because spaceflight conditions impair the human immune system, and the virulence of some bacteria increases. In a recent study, the microbiomes (of the skin and saliva, not of the gut biome) of four astronauts on the ISS were investigated before, during, and after their time on the ISS [71]. While evident biome changes were found in two astronauts, the microbiome alterations in the others were less pronounced. However, the species composition was altered during the mission, and an antimicrobial resistance gene expression was elevated, but no universal trend comparing all astronauts was found. In addition, changes in the virulence of bacteria were observed under r-µg and s-µg conditions [72,73].

In contrast, Gilbert et al. reported increased virulence of Serratia marcescens against Drosophila melanogaster on the ISS in µg [74]. The increased virulence and antimicrobial resistance are probably due to elevated mutation rates in space. Listeria monocytogenes showed reduced virulence and lower tolerance towards heat and acid conditions after HARV cultivation, while the cold tolerance was increased [75]. In addition, decreased expression levels of heat stress and virulence-related genes and an upregulation of cold stress genes were found [75]. In Bacillus subtilis, mutation rates of an investigated resistance gene were found to be far higher compared to Earth conditions [76]. However, s-µg (by HARV) also increased the antibiotic resistance in Escherichia coli [77], conveying additional resistance against four more antibiotics. It is speculated that either µg or the space environment may lead to new epigenetic changes and an increase in mutation rate and horizontal gene transfer (HGT) [78]. It is known that bacteria use HGT for adaptation to adverse environments or rapid changes in the environment, respectively. Increased HGT was also observed under s-µg conditions. Urbaniak et al. found an increased rate of HGT from co-cultured Acinetobacter pittii as donor to Staphylococcus aureus recipient strains during HARV treatment compared to 1g conditions [79].

3.2.3. Physiological Effects of Microgravity on Bacteria and Fungi

Recently, Sharma and Curtis [80] analyzed the reported effects of µg on bacterial metabolism. Although some common metabolic changes were identified, such as an increase in carbohydrate metabolism, changes in carbon substrate utilization, and alterations in amino acid metabolism as an indication for oxidative stress, no universal µg response appeared. The authors concluded that future research should increase the focus on the metabolomics of bacteria as well as the corresponding changes due to stressful environments because the understanding of cause-and-effect mechanisms may lead to valuable new biotechnological applications. Effects of s-µg on Vibrio fischeri induced an increase in the release of lipopolysaccharides and enhanced production of outer membrane vesicles. In addition, the outer membrane stability was impaired because the bacteria became more sensitive against sodium-dodecyl-sulfate (SDS) or polymyxin B. This affects the microbe-associated molecular pattern signals (MAMPs) of the bacteria and may impair bacteria–host interaction [81]. The formation of antioxidants in the mitigation of µg-induced stress was found in some microorganisms.

Wild-type strains and colorless strains of Knufia chersonesos, a black fungus inhabiting extreme environments, were exposed to s-µg in HARVs and subsequently analyzed in terms of secretome, proteome, and phenotype. Although no prominent indications for stress were found and no changes in the phenotype, differences in the secretome and proteome modulation within the two strains were detected [82].

Comparisons of melanized and non-melanized strains of the yeast Cryptococcus neoformans on the ISS revealed a far higher survival rate for melanized strains. As a potent antioxidant, melanin may protect the cells from oxidative stress caused by µg and space radiation [83]. In addition, an increase in protecting pigments (carotenoids) after exposure to s-µg was reported for Haloarcula argentinensis [84]. Growth, sporulation, as well as germination was found to be increased, while thickness of biofilms decreased in Fusarium solani exposed to random positioning [85].

A summary of all findings is given in Table 2.

Table 2.

Changes in gene regulation in microorganisms and animals exposed to microgravity conditions.

Organisms and Conditions Observations Reference
U937 Cells (RCCS) and infection with Escherichia coli, mice (HU), gut bacteria, and investigation of intestinal immunity to Citrobacter rodentium Suppressed MAPK pathway under s-µg in U937 cells. Downregulation of 25 transcripts and upregulation of 11 transcripts of the MAPK signaling pathway.
In mice: suppression in the production of TNF and IL-6 in colon and spleen. Higher sensitivity against Citrobacter rodentium due to suppressed innate immune response.
[86]
Human colonic epithelial cell line, HT-29 (ATCC, HTB-38) infected with Salmonella typhimurium Differences in gene expression between space- and ground-infected cells (among others, TNF signaling, NF-κB signaling, and cellular response to lipopolysaccharides). [69]
HU mice, investigation of the gut biome Dysbiosis followed after HU, which could be mitigated with 4-PBA, indicating that unloading leads to cellular stress. [60]
Lactobacillus reuteri in RWV These important probiotic bacteria respond with increased expression of stress genes. [58]
Wheat and endophytic bacteria under s-µg Change in root metabolism and secretion of metabolites. Change in bacteria composition of the rhizosphere. [61]
Yersina pestis, HARV Cultivation 218 differentially regulated genes. Increased biofilm formation and reduced virulence (downregulation of virulence-associated genes). [70]
Serratia marcescens and Drosophila melanogaster, HARV cultivation Increased virulence of Serratia marcescens against Drosophila melanogaster. [74]
Drosophila melanogaster on the ISS Flies reared on the ISS showed smaller and weaker hearts, reduced sarcomeric and ECM gene expression, upregulated expression of proteasome subunit genes, and increased number of proteasomes. [87]
Listeria monocytogenes (LSMMG) Downregulation of virulence genes. Decreased heat and acid resistance, but increased cold resistance (upregulation of cold-stress genes). [75]
Bacillus subtilis, Spaceflight Increased mutation rate of rpoB. [76]
Escherichia coli long-term HARV cultivation Genome sequencing revealed an increased mutation rate, which resulted in the acquirement of antibiotic resistance. [77]
Acinetobacter pittii and Staphylococcus aureus HARV cultivation Increased rate of horizontal gene transfer. [71]
Vibrio fischeri HARV cultivation Impaired membrane stability, increased lipopolysaccharide production. [81]
Knufia chersonesos (colorless and pigmented strain) HARV cultivation Changes in the secretome, transcriptome, and proteome between 1g samples as well among the two strains. No increased stress response in the colorless strain. [82]
Cryptococcus neoformans (melanized and colorless strain) on the ISS Higher survival rate of melanized strains. Melanin acts as an antioxidant. [83]
Eprymna scolopes HARV co-cultivation with Vibrio fischeri Complex network of extrinsic/intrinsic apoptosis genes revealed; earlier and stronger expression of caspases. [88]
Caenorhabditis elegans on the ISS Downregulation of metabolism and cytoskeletal genes. [89]
Expression levels are regulated epigenetically. [90]
Caenorhabditis elegans on the RCCS Global upregulation of genes related to oxidative stress. Local overexpression prevented dysfunction but not increased lumen and permeability of the intestines. [91]
Expressional adaptations of the insulin signaling pathway in the intestines. [92]
Mus musculus on the ISS No estrous cycle discontinuation. No difference in the expression of genes related to steroidogenesis or mitochondrial cholesterol uptake. [93]
Thymi of ISS mice were smaller, with downregulated genes related to cell cycle control and chromosome organization. [94]
Erythrocyte production-related genes in the spleen were downregulated. No influence on gene expression in lymph nodes. [95]

Abbreviations: 4-phenyl butyric acid (4-PBA); extracellular matrix (ECM); high aspect ratio vessels (HARV); hindlimb unloaded (HU); low-shear modelled microgravity (LSMMG); International Space Station (ISS); mitogen-activated protein kinase (MAPK); nuclear factor-kappa B (NF-κB); rotary cell culture system (RCCS); rotating wall vessel (RWV); tumor necrosis factor (TNF).

3.3. Effects of Real or Simulated Microgravity on the Gene Expression in Animals

Vibrio fischeri, as mentioned earlier, lives in a symbiosis with the bobtail squid Eprymna scolopes, where it colonizes light organs used to camouflage the squid at night (Table 2) [81]. The formation of the light organs is regulated by symbiont-induced apoptosis. Under s-µg conditions in HARVs, genes related to extrinsic/receptor-mediated and intrinsic/stress-induced apoptosis were expressed earlier and to a greater extent than 1g, especially those for initiator and executioner caspases. However, the increases in caspase activity could be compensated with caspase inhibitors, offering a strategy for maintaining animal–microbial homeostasis during spaceflight.

The gene expression in Caenorhabditis elegans was investigated in a series of experiments on the ISS: the results showed a downregulation of genes related to longevity [96] or metabolism and protein expression [89]. The most recent results indicate that the expression is partially regulated epigenetically: an overexpression of several genes was observed in histone deacetylase (had)-4 mutants as compared to wild types, indicating that in a wild-type organism, excessive expression of certain genes is epigenetically suppressed to the extent of a de facto downregulation, while in the had-4 mutant, the overexpression occurs unhampered (Table 2) [90].

Caenorhabditis elegans exposed to s-µg by applying an RCCS showed alterations in the intestines [91]: both internal lumen and permeability were altered due to oxidative stress, even though a number of related genes were globally upregulated. Overexpression of superoxide dismutase 2 (SOD2), one of the genes in the intestines effectively protected the nematodes from µg-induced oxidative stress damage to the intestines. In addition, specifically in the intestines, expressional adaptations of the insulin signaling pathway were found [92].

The influence of prolonged µg on the heart was investigated employing the fruit fly Drosophila melanogaster (Table 2) [87]. Fly eggs were flown to the ISS, where the larvae hatched and developed into adult flies before returning to the ground. The hearts were smaller and weaker, which correlated to the reduced sarcomeric and extracellular matrix gene expression. Furthermore, the upregulation of proteasome subunit genes suggested an elevated proteostatic turnover. A follow-up experiment confirmed an elevated number of (likely dysfunctional) proteasomes.

With long-term spaceflight on the horizon, important questions arise regarding its impact on human fertility and the influence of the hormonal cycle on overall well-being. In the past, experiments with female mice were rather short-term or the results were ambiguous due to the fact that the animals returned to the ground alive and therefore experienced the stress of re-entry and the onset of gravity. In their experiment, Hong et al. investigated the estrous cycle of mice for the first time after prolonged exposure to µg on the ISS with subsequent scarification of the animals while still staying in orbit [83]. The space-flown mice showed no signs of stress and estrous cycle discontinuation (indicating that they remained fertile) and no difference in the expression of genes of the key enzymatic steps of steroidogenesis or mitochondrial cholesterol uptake expression. The authors suggest using the estrous cycle state as a covariate, such as age and weight, due to its potential impact on the general state of experimental animals and, therefore, the interpretation of experimental data.

The immune system of mice was investigated with the Multiple Artificial-gravity Research System (MARS) aboard the ISS [94]. The thymi of µg exposed mice showed significantly different gene expression patterns compared to ground controls and onboard 1g controls, suggesting that artificial gravity can partially mitigate the adverse effects of µg but not wholly. Among the downregulated genes were those responsible for cell cycle control and chromosome organization, indicating that µg leads to a smaller number of mitotic cells, which is also reflected in the smaller weight per thymus (both absolute and compared to body weight). The findings were confirmed by a second independent experiment. Analyzing the spleens and lymph nodes of the same animals employing whole transcript cDNA sequencing, Horie et al. found that not only immune-related processes are altered by µg: various gene ontology (GO) terms related to the production of erythrocytes were reduced in µg as compared to ground controls [95]. Again, onboard 1g controls showed a lower reduction, suggesting that artificial gravity can mitigate only some of the impacts of spaceflight. Further analysis showed that the expression of two transcription factors (GATA1 and Tal1), which promote the expression of various genes controlling erythrocyte development, was downregulated. However, immunostaining of the spleens did not show a considerable influence of the downregulation on erythrocyte cell number and distribution. The gene expression in lymph nodes was not influenced by spaceflight.

The expression of complement component C3 was investigated in Iberian ribbed newts (Pleurodeles waltl) exposed to s-µg via RPM [97]. C3 is a central component of the complement system, which is involved in immediate defense against microbes and regulates immunological and inflammatory processes. C3 is also highly conserved. Exposure to s-µg alone did not alter C3 expression in Pleurodeles waltl; however, in combination with other space-related stressors, a reduction was observed. Analysis of mice subjected to HU showed also that C3 expression in the liver (the main source of C3) did not change as compared to the control [97].

3.4. Effects of Microgravity on the Eye and Brain

The eye, especially the retina, represents one of the most sensitive and critical human body tissues. It does, therefore, not come as a surprise that astronauts returning to Earth after a long-term stay onboard the ISS develop a complex of alterations known as SANS. Notably, NASA reported more than a decade ago that approximately 60% of 300 active astronauts were affected by such neuro-ophthalmic alterations [98]. A leading hypothesis implies that weightlessness-induced cephalad fluid shifts elevate the intracranial pressure (ICP), which may impact the observed ocular structural alterations. However, increased ambient CO2 levels on the ISS may also contribute to the outcome.

As a reflection on the ongoing and tireless interest in neuro-ocular changes induced by µg, a growing number of studies addressing this issue, including the mechanisms underlying SANS, have therefore been initiated, and several exciting papers on gene regulation in the eye and brain after exposure to either r- and s-µg conditions have been published during the last five years. These findings, which were obtained in relevant cells with eye origin and animal models (preferably rodents), either subjected to altered gravity conditions on Earth or in space, as well as in astronauts travelling onboard the ISS in space, will be summarized in the following sections and in Table 3.

3.4.1. Effects of Microgravity on Cells with Eye Origin

In a recent paper, an Italian team set out to further explore the pathogenesis underlying SANS. Specifically, the molecular and cellular effects induced in human adult retinal pigment epithelium (ARPE-19) cells following incubation for three days in µg onboard the ISS were investigated [99]. No changes in viability or apoptosis were observed during the µg phase. However, in alignment with previous studies [14], cytoskeletal remodeling was detected following exposure to µg conditions. Notably, Cialdai and co-workers found a dramatic change in the vimentin network, exemplified by the redistribution of vimentin from the surface to the perinuclear regions in the ARPE-19 cells cultured for three days onboard the ISS. This altered distribution of vimentin may thus indicate a change in the cellular shape and the inter-cellular interaction capabilities.

Further analysis revealed that spaceflight ARPE-19 cells contained structures resembling aggresomes implying that µg may be directly linked to an alteration in protein processing in ARPE-19 cells. Interestingly, the observed morphological changes in the ARPE-19 cells cultivated onboard the ISS were associated with significant alterations in the transcriptome profile. Of 23.556 genes analyzed, more than 5.500 were differentially expressed after the spaceflight compared to ground controls (Table 3). Prediction analysis showed that the ISS environment significantly affected approximately 100 pathways, of which the most significantly impacted were related to the cellular response to space environment adaptation/damage [99]. Gene ontology (GO) analysis revealed that the incubation of ARPE-19 cells in r-µg impacts on several critical cellular mechanisms, including the response to unfolded proteins and ion binding, consistent with cell dysfunction adaptation (Table 3) [99].

The study also tried to estimate the number of active micro (mi)RNAs and deregulated long non-coding (lnc)RNAs [99]. Of 366 screened miRNAs, 19 displayed differential downregulation of target genes. More than 250 lncRNAs were deregulated in ARPE-19 cells cultured onboard the ISS (Table 3). Finally, Cialdai and co-workers investigated the role of coenzyme Q10 (CoQ10) treatment on gene expression in ARPE-19 cells [99]. CoQ10 is a well-known antioxidant with antiapoptotic abilities. A total of 153 differentially expressed genes (DEGs) were identified in CoQ10-treated cells incubated onboard the ISS compared to the untreated control. Interestingly, 22 pathways were significantly affected, including deregulation of protein processing in the endoplasmic reticulum, mitophagy, TGF-beta signaling, Hippo signaling, p53 signaling, and the senescence pathway, clearly suggesting that CoQ10-based countermeasures against SANS should be further investigated (Table 3) [99].

3.4.2. Effects of Microgravity on Eye in Animals

Going to space to conduct biological experiments on the ISS is a costly and time-consuming process, and hence an option with minimal access for the broader field of researchers involved in µg research and space medicine. To advance biomedical research on the physiological effects of the space environment, NASA 2014 launched the rodent research (RR) project. Hence, with bio-banked tissues from the RR-1 spaceflight, NASA’s GeneLab platform provides DNA, RNA, and protein samples for epigenomic, transcriptomic, and proteomic analysis [100]. Disseminating these data without restriction to the scientific community may thus be an important resource for multi-omics investigations. Despite the limited resources for conducting biological experiments in space, fortunately, several animal studies are performed aboard the ISS each year. For example, concerning the impact of µg on the eye and brain, four different studies based on mice, launched from the Kennedy Space Centre (KSC) on three separate SpaceX rockets (SpaceX-4, 9, and 12) to the ISS for 35- or 37-day missions, have been published during 2017–2022 (Table 3).

Table 3.

Changes in gene regulation of (i) eye-related cells subjected to r-µg, (ii) eye tissue isolated from animals exposed to microgravity conditions, or (iii) healthy human volunteers exposed to head-down tilt.

Source Kind Gene Regulation Microgravity Reference
(i) Cell line ARPE-19
  • Analysis of 23.556 targets: more than 5.500 differentially expressed genes

  • Approx. 100 pathways were affected, including cellular response to space environment adaptation/damage

  • GO analysis revealed that r-µg impacts several critical cellular mechanisms, including response to unfolded proteins and ion binding

  • Of 366 screened miRNAs, 19 displayed differential downregulation of target genes

  • More than 250 lncRNAs were deregulated

Spaceflight to the ISS,
3 d
[99]
(ii) Mice C57BL/6
Male
9-week-old
  • Several pathways involved in inflammation, cell repair, cell death, and metabolic stress were significantly changed

  • Analysis of regulated protein expression revealed changes in retinal protein expression related to immune response, metabolic function, and cellular structure

Spaceflight to the ISS,
35 d
[101]
(ii) Mice C57BL/6
Male
10-week-old
  • Pathways involved in, e.g., inflammation, cell death, and metabolic stress, were significantly altered

Spaceflight to the ISS,
35 d
[102]
(ii) Mice C57BL/6
Male
10-week-old
  • 600 DEGs were detected in the retinas of mice flown

  • Genes related to the phototransduction pathway and visual perception were enriched

  • Of 75 genes associated with retinitis pigmentosa, 12 were differentially expressed.

  • For diabetic retinopathy, only one gene was differentially expressed

  • No differentially regulated genes were detected for retinal-detachment disease-associated and AMD

  • A number of transcription factors, including Cazs1, Kdm4a, Kdm4b, and Kdm6b, were differentially expressed

Spaceflight to the ISS,
35 d
[103]
(ii) Mice C57BL/6
Female
16-week-old
  • Differential methylations of many genes were observed

  • Retinal cell homeostasis was disturbed: several genes involved in inflammation, oxidative stress, tissue remodelling, mitochondrial function, and angiogenesis were impacted

  • Reduced gravity decelerates the epigenetic clock in the mouse retina

Spaceflight to the ISS,
37 d
[104]
(ii) Mice Strain N/A
Female
  • 13 gene targets of three miRNAs were identified

  • Ag-treatment only altered the expression of Zcchc9

Hindlimb unloading [105]
(iii) Human healthy volunteers Eight male subjects*
  • Analysis of one-carbon pathway polymorphisms in MTRR and SHMT1 did not reveal any significant changes

1 h settings of seated, HDT, and HDT + CO2 [106]
(iii) Human healthy volunteers Six men and five women *
  • MTRR 66G and SHMT1 1420C alleles were associated with a greater increase in total retinal thickness during

30 d of 6° HDT bed rest with 0.5% CO2 exposure [107]

Abbreviations: Age-related macular degeneration (AMD); human adult retinal pigment epithelium cells (ARPE-19); days (d); differentially expressed genes (DEGs); gene ontology (GO); head-down tilt (HDT); hours (h); International Space Station (ISS). * Blood samples and non-invasive analysis of eye and/or brain.

The first paper, spearheaded by Xiao Mao [101], investigated the impact of spaceflight and artificial gravity on the mouse retina. First, changes in protein expression profiles and oxidative stress-related apoptosis were examined in nine-week-old male C57BL/6 mice following a 35-day stay on the ISS. The mice were launched to the ISS by SpaceX-9 at the KSC in 2016. One group of the spaceflight mice was housed under µg conditions, whereas another group was maintained in a centrifugal habit unit facilitating a 1g artificial condition [101]. Quantitative analysis based on terminal deoxynucleotidyl transferase dUTP nick-end labelling (TUNEL) analysis of ocular tissue demonstrated that µg significantly induced apoptosis (up to 64%) in retinal vascular endothelial cells (VEC) compared to the ground control group. Next, proteomics’ analyses revealed that a number of pathways involved in inflammation, cell repair, cell death, and metabolic stress were significantly changed in spaceflight mice compared to the ground controls (Table 3).

Furthermore, significant changes in regulated protein expression were observed in the µg group with the artificial 1g group onboard the ISS. The authors concluded that spaceflight induces apoptosis of VEC and changes in retinal protein expression related to immune response, metabolic function, and cellular structure. Notably, the study demonstrates that artificial gravity induced on the ISS may mitigate some of the µg-induced alterations [101].

The subsequent study, also performed by Mao and co-workers [102], aimed to investigate the effects of spaceflight and re-entry to 1g on the integrity and structure of the retina and blood–retina barrier (BRB) in the eye. Ten-week-old male mice were launched to the ISS on SpaceX-12 at the KSC in 2017. After a 35-day spaceflight, the animals were returned alive to Earth, and changes in protein expression profiles were assessed. In support of the previous findings from the research group, significant apoptosis in the retina and retinal vascular cells was observed compared to control groups. The study also provides strong evidence that spaceflight impacts BRB integrity [102]. This notion is primarily based on findings showing increased expression of aquaporin-4 (AQP4) and platelet endothelial cell adhesion molecule-1 (PECAM-1) in the spaceflight mice group compared to the control group (Table 3). In addition, a decrease in expression of the BRB-related tight-junction protein, Zonula occludens-1 (ZO-1), was also observed. Given that the BRB is compromised by spaceflight, it is a surprise that the intraocular pressure (IOP) was significantly lower in the post-flight measurement compared to that performed in pre-flight and not the opposite [102]. The authors provide several possible explanations for this discrepancy, including the notion that the 35-day flight may not be sufficient to elicit elevations in IOP or the limitation of utilizing mice to study the effect of spaceflight on human function due to the lack of a cephalad fluid shift [102].

As in the previous study performed by Mao et al. [101], proteomics data revealed that a number of pathways involved in, e.g., inflammation, cell death, and metabolic stress, were significantly altered in the spaceflight compared to the control group (Table 3). However, a limited overlap of significant differentiating proteins and pathway between the 2016 and 2017 flights was observed, possibly reflecting differences in the composition of the eye samples tested.

In the third animal-based study in µg, Overbey and co-workers continued their efforts to investigate whether the space environment triggers oxidative damage on ocular structures and to further characterize the gene expression profiles of the mouse retina exposed to r-µg during a 35-day mission on the ISS [103]. Similar to the previous paper, the ten-week-old male mice used in this study were launched to the ISS on SpaceX-12 at the KSC in 2017 and returned to Earth alive. RNA sequencing of the isolated ocular tissues resulted in detecting 600 DEGs in the retinas of the mice flown onboard ISS (Table 3). Genes related to the phototransduction pathway and visual perception were enriched in the group of DEGs. The authors also sought to determine whether any DEGs from the spaceflight sample were differentially expressed in common retinal diseases. Interestingly, of the 75 genes associated with retinitis pigmentosa, 12 were differentially expressed in murine spaceflight retinas. For diabetic retinopathy, only one gene was differentially expressed, whereas retinal-detachment disease-associated and age-related macular degeneration (AMD) genes were not differentially regulated (Table 3) [103].

A number of transcription factors, including Cazs1, Kdm4a, Kdm4b, and Kdm6b, were also found to be differentially expressed, suggesting that spaceflight changes chromatin organization (Table 3). Finally, micro-computed tomography (micro-CT) and immunofluorescence analysis revealed that spaceflight reduces the thickness of multiple layers and increases oxidative stress. These results suggest that retinal functioning may be challenged by exposure to extended periods of µg, resulting in ocular damage [103].

Last but not least, Chen and co-workers investigated the impact of r-µg in 16-week-old female C57BL/6J mice transported to the ISS by SpaceX-4 in 2014 for a 37-day spaceflight mission [104]. The study’s primary aim was to examine whether spaceflight triggers epigenomic and transcriptomic reprogramming in the retina. Second, it was investigated whether reduced gravity alters the epigenetic clock. In this study, the retinal samples were collected in orbit and frozen for later analysis. After careful sectioning of the retina, DNA and RNA species were isolated, and the DNA methylome and transcriptome were analyzed by deep sequencing. In general, spaceflight induced differential methylations of many genes, whereas fewer DEGs were identified (Table 3). The fact that several genes involved in inflammation, oxidative stress, tissue remodelling, mitochondrial function, and angiogenesis were impacted by µg suggests that retinal cell homeostasis was disturbed during spaceflight. The findings also suggest that pathways involved in retinal diseases, such as macular degeneration, were significantly affected [104]. However, on the plus side, the results indicated that reduced gravity decelerates the epigenetic clock in the mouse retina, implying that the mice onboard ISS show a younger biological age compared to the mice housed on Earth. In summary, this study is the first to investigate the effects of spaceflight on both DNA methylome and transcriptome in mouse retinal tissue [104].

Finally, a recent paper investigated the effect of inhibiting three spaceflight-associated miRNAs by small molecule inhibitors (antagomirs (Ag)) in mice before exposure to simulated spaceflight conditions (µg and radiations) [105]. Hindlimb unloading was used to simulate µg, and Ag-treated mice received Ag every three days. A total of 13 gene targets of the 3 miRNAs were identified. However, the eye Ag-treatment only altered the expression of one gene (Zcchc9) (Table 3). Inhibition of miRNAs in a preclinical model of simulated spaceflight may provide a basis for analyzing inhibition of biological impairment [105].

3.4.3. Effects of Microgravity on Eye and Brain in Human Subjects

Laurie and co-workers applied the spaceflight equivalent of 6° head-down tilt (HDT) to assess possible underlying mechanisms of ocular alterations [106]. The experiment was conducted on eight male subjects exposed to three 1-h settings (seated, HDT, and HDT with 1% inspired CO2 (HDT + CO2)). Various methods, including cerebral and ocular ultrasound, optical coherence tomography (OCT) scans of the macular and optic disc, intraocular pressure (IOP), non-invasive intracranial pressure (nICP), and translaminar pressure difference (TLPD = IOP–ICP) were executed. The authors found enlarged IOP, optic nerve sheath diameter, and choroid thickness during the acute headward fluid-shift. Hence, the findings may imply that exposure to acute mild hypercapnia during HDT did not increase physiological factors suggested as being involved in ocular changes during spaceflight. Moreover, the combination of HDT with a CO2 level twice as high as on the ISS did not cause ocular structural or functional alterations. Analysis of one-carbon pathway polymorphisms in MTRR and SHMT1 did not reveal any significant changes, probably due to the low number of subjects in the groups (Table 3).

A recent paper by Zwart and co-workers [107] further investigated one-carbon pathway genetics in a cohort study of 11 healthy volunteers (5 women and 6 men). The paper analyzed whether one-carbon metabolic pathway polymorphisms are associated with the development of optic disc oedema during head-down tilt bed rest with CO2 exposure. Interestingly, it was shown that more MTRR 66G and SHMT1 1420C alleles were associated with a greater increase in total retinal thickness during 30 days of 6° HDT bed rest with 0.5% CO2 exposure (Table 3). The B-vitamin status was a contributing factor. These interesting results may thus play an important role in understanding the variability in the size of optic disc oedema detected during bed rest studies and spaceflights and thereby advance the development of countermeasures [107].

3.5. Effects of Microgravity on Endothelial Cells

Astronauts returning from space often suffer from endothelial dysfunction. This has made the study of endothelial cells (ECs) in µg one of the focal points of gravitational research. As mechanosensitive cells, ECs undergo morphological and functional changes when exposed to µg conditions.

Barravecchia et al. [108] performed high-throughput RNA sequencing of human microvascular ECs to identify the genome-wide effects of µg during the ENDO campaign to the ISS in 2015. They found that 32 gene sets of the Hallmark collection were deregulated due to µg exposure (19 up- and 12 downregulated) activating pathways for metabolism and a pro-proliferative phenotype. Transcriptomics also demonstrated opposing effects of µg and space radiation.

The SPHINX project revealed that TXNIP was the most overexpressed transcript in ECs after spaceflight [109]. Cazzaniga et al. [110] demonstrated a TXNIP overexpression in human umbilical vein endothelial cells (HUVECs) after 10 days on the RWV, whereas no modulation of TXNIP was detected after four days. The authors also found a temporary upregulation of HSPA1A (HSP70) in HUVECs after four days on an RWV before it returned to baseline after 10 days [110]. The meta-analysis-assisted detection of gravity-sensitive genes in HUVECs by Liang et al. [111] revealed that the expression level of the prostaglandin transporter gene SLCO2A1 decreased in response to µg.

Li et al. [112] reported in their autophagy studies with HUVECs in µg that there was no significant difference in TP53 transcription between the s-µg group and the control group. In contrast, clinorotation decreased the protein level of p53 in HUVECs, suggesting an effect of clinorotation on post-transcriptional modifications of p53.

Another vital area of research in molecular cell biology in recent years has been microRNA. Using the RWV, Pan et al. [113] demonstrated for the first time that s-µg can alter the expression of some microRNAs in HUVECs. They further observed that miR-27b-5p might protect HUVECs from apoptosis on the RWV by targeting the zinc fingers and homeoboxes 1 protein (ZHX1). Xu et al. [114] published that miR-22 was upregulated, and its target genes SRF and LAMC1 were downregulated at mRNA levels in HUVECs exposed to an RCCS. In addition, Kasiviswanathan et al. [115] analyzed the interactome of miRNAs of HUVECs cultured on a clinostat. They reported that miRNAs miR-496, miR-151a, miR-296-3p, miR-148a, miR-365b-5p, miR-3687, miR-454, miR-155-5p, and miR-145-5p effectively influenced the cell proliferation and vascular functions of HUVECs in s-µg.

Zhao et al. [116] studied apoptosis of choroidal vascular ECs (CVECs) in s-µg on an RCCS for the first time. They found that the expression of BAX, CASP3, and CYP2D6 increased significantly after 24 and 72 h in µg, while the expression of the anti-apoptotic BCL2 decreased.

Dittrich et al. [117] used immortalized human vascular ECs (EA.hy926) for long-term studies of tube formation on the RPM. After 35 days, they observed upregulation of CXCL8 and FN1 in spheroids formed during random positioning. Furthermore, using the same cell line, Krüger et al. [118] showed that a number of genes (TIMP1, IL6, CXCL8, CCL2, B2M) were differentially regulated in adherent and spheroid cell populations after 7 and 14 days of s-µg on the RPM. While most genes studied were downregulated in adherent cells, several were upregulated or not regulated in spheroid cells. Li et al. [119] cultured EA.hy926 cells aboard the SJ-10 satellite for 10 days before RNA profiling of supernatant-derived exosomes. ACTB, PGK1, HSPA8, RPL7A, and FTH1 were the five most upregulated protein-coding genes in exosomes from EA.hy926 cells cultured in space compared to those on the ground.

Kong et al. [120] used human peripheral blood-derived endothelial progenitor cells exposed to a newly developed Gravite® device to simulate µg. They measured an increased expression of the angiogenic genes HIF1A and NOS3 after 12- and 24-h exposure to the Gravite® device. Afterwards, the expression levels of HIF1A and NOS3 decreased over time.

In a recent paper, Zhao and co-workers showed the effects of s-µg on apoptosis of CVECs, thereby adding these cells to the growing list of microvascular endothelial cells displaying alterations in gene expression following incubation under µg conditions [116]. VECs exert a fundamental role in tissue homeostasis by orchestrating vessel and blood circulation [121]. Notably, previous studies have suggested that dysfunction of VECs may explain the cardiovascular deconditioning observed in astronauts exposed to µg [116]. This idea has been supported by several experiments showing that exposure to s-µg impacts critical cellular structures, including the cytoskeleton and mitochondria homeostasis, and gene expression affecting cellular functions, such as apoptosis [122,123,124,125,126,127]. To wrap up the conclusions from these findings in a nutshell, VECs may thus sense the reduced gravitational force, thereby inducing cytoskeleton changes, which via activation of so-called secondary messengers, results in various gene responses that eventually may trigger apoptosis [116].

To explore whether CVECs are perceptive in the same way to gravitational alterations, human CVECs were subjected to s-µg employing an RCCS for three days. A prominent decrease in F-actin and the filaments’ sparse or discontinuous appearance was observed after cultivation under s-µg conditions. Notably, flow cytometry showed an increased number of apoptotic CVECs in the s-µg group compared with the 1g group [116]. Concomitantly, mRNA and protein levels of caspase3, bax, cytochrome C, p-AKT, p-PI3K, and Bcl2 were altered, suggesting that the Bcl-2 apoptosis pathway and the PI3K/AKT pathway participate in µg-induced damage of CVECs. Furthermore, these alterations were accompanied by ultrastructural changes, including chromatin condensation, mitochondria vacuolization, shrinking of the cell body, and the appearance of apoptotic bodies [116]. Since the dysfunction of CVECs has been implicated in choroidal thickening, which may have an impact on intraocular pressure and visual function, the findings by Zhao and co-workers may provide further knowledge about the underlying mechanisms of µg-induced changes in the eyes of space travelers and, maybe most importantly, advance the development of countermeasures [116]. An overview of all results is given in Table 4.

Table 4.

Changes in gene regulation of endothelial cells exposed to microgravity conditions.

Cell Type Gene Regulation Microgravity Reference
Human
microvascular endothelial cell line HMEC-1
Differentially regulated Hallmark collection gene sets:
Up: HALLMARK_ADIPOGENESIS, HALLMARK_
ALLOGRAFT_REJECTION, HALLMARK_
ANDROGEN_RESPONSE, HALLMARK_BILE_ACID_
METABOLISM, HALLMARK_CHOLESTEROL_
HOMEOSTASIS, HALLMARK_COAGULATION,
HALLMARK_E2F_TARGETS,
HALLMARK_FATTY_ACID_METABOLISM,
HALLMARK_G2M_CHECKPOINT, HALLMARK_
MITOTIC_SPINDLE, HALLMARK_MTORC1_SIGNALING, HALLMARK_MYC_TARGETS_V1, HALLMARK_
OXIDATIVE_PHOSPHORYLATION, HALLMARK_
PEROXISOME, HALLMARK_PI3K_AKT_MTOR_
SIGNALING, HALLMARK_PROTEIN_SECRETION, HALLMARK_REACTIVE_OXIGEN_SPECIES_PATHWAY, HALLMARK_SPERMATOGENESIS, HALLMARK_UV_
RESPONSE_DN
Down: HALLMARK_ESTROGEN_RESPONSE_EARLY, HALLMARK_ESTROGEN_RESPONSE_LATE,
HALLMARK_HEDGEHOG_SIGNALING,
HALLMARK_HYPOXIA, HALLMARK_IL2_STAT5_
SIGNALING, HALLMARK_KRAS_SIGNALING_DN, HALLMARK_MYOGENESIS, HALLMARK_NOTCH_
SIGNALING, HALLMARK_P53_PATHWAY,
HALLMARK_TNFA_SIGNALING_VIA_NFKB,
HALLMARK_UV_RESPONSE_UP,
HALLMARK_WNT_BETA_CATENIN_SIGNALING
r-µg on the ISS for 160 h [108]
HUVECs 585 genes significantly upregulated (top 5: TXNIP, MIR15A, ANAPC1, TP53INP1, ID1); 438 genes significantly downregulated (top 5: HSPA1A and -B, HSP90AA2, ATF3, CLCA2, RYBP) r-µg on the ISS for 10 d [109]
HUVECs Early upregulation of HSPA1A only after 4 days, string upregulation of TXNIP after 10 days s-µg on the RWV for 4 and 10 d [110]
HUVECs Downregulation of SLCO2A1 s-µg on a clinostat for 7 d [111]
HUVECs No significant difference in TP53 gene expression s-µg on a clinostat for 24, 48, and 73 h [112]
HUVECs Upregulated miRNAs: hsa-miR-628-3p, hsa-miR-3195, hsa-miR-3687, hsa-miR-1257, hsa-miR-3614-5p s-µg on a clinostat for 48 h [113]
HUVECs Upregulation of miR-22 after 72 h, concurrent downregulation of SRF and LAMC1 s-µg on a HARV for 48, 72 and 96 h [114]
HUVECs 1870 differentially expressed miRNAs; hsa-mir-496, hsa-mir-151a, hsa-miR-296-3p, hsa-mir-148a, hsa-miR-365b-5p, hsamiR-3687, hsa-mir-454, hsa-miR-155-5p, and hsa-miR-145-5p involved in cell adhesion, angiogenesis, cell cycle, JAK-STAT signaling, MAPK signaling, nitric oxide signaling, VEGF signaling, and wound healing pathways s-µg on a 3D-clinostat for 2 h [115]
Human CVECs Upregulation of BAX, CASP3, and CYP2D6 after 1 and 3 days
Downregulation of BCL2 after 1 and 3 days
s-µg on an RCCS for 1 and 3 d [116]
EA.hy926 Upregulation of CXCL8 and FN1 in spheroids s-µg on an RPM for 35 d [117]
EA.hy926 Differential regulation of TIMP1, IL6, CXCL8, CCL2, B2M r-µg on the ISS for 12 d [118]
EA.hy926 Top 20 upregulated genes in EA.hy926 exosomes: ACTB, PGK1, HSPA8, RPL7A, FTH1, GAPDH, HSP90AB1, RPL37A, TPI1, FABP4, S100A6, TOT1, TUBA1B, RPS4X, RPL5, HNRNPK, RPS3A, RPS2, HNRNPA1 r-µg on the SJ-10 Recoverable Scientific Satellite for 3 and 10 d [119]
Human peripheral blood-derived endothelial progenitor cells Increase in HIF1A and NOS3 after 12 and 24 h, then decrease after 48 h s-µg on a 3D-clinostat for 24 h [120]

Abbreviations: Days (d); high aspect ratio vessels (HARV); head-down tilt (HDT); hours (h); International Space Station (ISS); random positioning machine (RPM); real microgravity (r-µg); rotating cell culture system (RCCS); simulated microgravity (s-µg); three-dimensional (3D).

3.6. Microgravity Affects the Immune System in Space

Various immunological alterations have been observed in space crews during and after spaceflight [2].

It has been almost 40 years since Augusto Cogoli showed that spaceflight reduces lymphocyte reactivity to mitogens. Cultures of lymphocytes, purified from blood samples drawn from crew members before and after flight, were exposed to mitogens. Activation was measured by the incorporation of labeled thymidine or uridine into DNA or RNA, respectively. A total of 41 astronauts and 12 cosmonauts were tested. These data were published in [128,129]. This topic was the subject of the authors’ investigations during the flight of Spacelab 1 from 28 November to 8 December 1983 [128].

Spaceflight-associated immune system dysregulation is a severe health problem in humans in space and negatively affects further space exploration to the Moon, Mars, and outer space. Space travelers face different forms of stress influencing their immune system. A paper published in January 2023 showed that RPM exposure altered the Nuclear Factor κB signaling pathway and affects murine dendritic cells (DC) and their function [130]. Splenic DC or Flt-3L-differentiated bone marrow DC (BMDCs) were exposed to the RPM. S-µg reduced BM-conventional DC (cDC) as well as splenic cDC activation/maturation phenotype changes [130]. BMDCs exhibited a decreased production of pro-inflammatory cytokines when exposed to the RPM. The authors demonstrated that non-matured RPM-exposed BMDCs exhibited a more immature phenotype, compared to the control BMDCs. These data correlated with an impaired ability of BMDCs to express pro-inflammatory cytokine transcripts as shown in Figure 3A of [130]. A deregulation of DC function is likely responsible for inducing immune deregulation during spaceflight [130].

A recent study investigated cell-free mitochondrial DNA (cf-mtDNA) in the blood plasma of 14 astronauts [131]. The gene expression analysis of peripheral blood mononuclear cells (PBMC) indicated a significant elevation of inflammation, oxidative stress, and DNA damage markers, a finding supporting the hypothesis that cell-free mitochondrial DNA abundance might be a biomarker of stress or immune response in relation to spaceflight [131].

Deep space exploration needs further studies to predict astronauts’ health risks [132]. Applying deep, error-corrected, targeted DNA sequencing, Brojakowska et al. [132] focused on somatic mutations in clonal hematopoiesis (CH)-driver genes in PBMC isolated from the de-identified blood samples of 14 Space Shuttle astronauts. They found 34 nonsynonymous mutations in 17 CH-driver genes, with the most prevalent mutations in TP53 and DNMT3A. Therefore, future retrospective and prospective investigations of their clinical relevance are necessary [132].

Earlier, the NASA Twins study revealed a significant increase in the proportion of cf-mtDNA inflight and the analysis of post-flight exosomes [133]. These data suggested that cf-mtDNA levels can be a potential biomarker for stress or immune system responses related to spaceflight conditions [133]. In addition, a re-analysis of the landing data of the Twins study revealed signs of muscle regeneration rather than a detrimental inflammatory response [134]. Further analyses of the NASA Twins data also comprised specific analytes associated with fatty acid metabolism [135]. This study showed that cellular lipid metabolism could be responsive and dynamic to spaceflight. In addition, the data revealed mid-flight spikes in the expression of selected genes, indicating transient responses to specific insults during the flight subject’s stay on the ISS [135].

Human Jurkat T cells react and adapt very rapidly to altered gravity conditions. Differentially expressed gene transcript clusters (TCs) in Jurkat T cells in µg provided by a suborbital ballistic rocket flight were compared with TCs expressed as a reaction to 2D clinorotation as well as to 9× g centrifuge experiments and rigorous controls for excluding other factors of influence than gravity [136]. During 5 min of either flight-induced µg or clinorotation 11 TCs were significantly altered. It was concluded that less than 1% of all examined TCs displayed the same response in 2D clinorotation and flight-induced µg. Contrary, 38% of differentially regulated TCs identified during the hypergravity phase of the suborbital ballistic rocket flight could be verified with 9× g ground centrifugation. Therefore, it is evident that the initial trigger of gene expression response to µg requires less than 1 s reaction time [136].

Furthermore, data from parabolic and TEXUS rocket flight missions revealed that hypoxia inducible factor 1 (HIF-1) and HIF-1-dependent transcripts were differentially expressed in altered gravity conditions [137]. The HIF-1-dependent gene expression was adapted after 5 min r-µg. PDK1 was detected to be highly responsive to gravitational changes in human U937 myelomonocytic cells and Jurkat T cells. Targeting HIF-1 might be an effective countermeasure to prevent the immune system from weakening during spaceflight [137]. A further study measured gene expression and 3D chromosomal conformational changes in human Jurkat T cells during parabolic flight maneuvers and a suborbital ballistic rocket flight [138]. The authors propose that gravitational forces rapidly influence the cell membrane and that they are mechanically transduced via the cytoskeleton to the nucleus. This leads to 3D chromosomal conformational changes, resulting in region-specific differential gene expression [138]. Using the same flight opportunities, the expression of oxidative stress-related pathways was fast and strong in human myelomonocytic U937 cells but followed by a rapid and severe counter-regulation. Interestingly, oxidative stress-related genes in human Jurkat T cells were not significantly altered [139].

Human Jurkat T lymphocytic cells were studied during a parabolic flight and a Technologische EXperimente Unter Schwerelosigkeit (TEXUS) sounding rocket mission [140]. Applying the Affymetrix GeneChip® Human Transcriptome Array 2.0, the authors found an extensive and rapid change in gene expression associated with regulatory RNAs. They concluded that human cells are equipped with a robust and efficient adaptation potential when exposed to altered gravity conditions [140].

A recent study demonstrated that r-µg (spaceflight) and s-µg significantly decreased macrophage quantity and differentiation and induced metabolic reprogramming with alterations in gene expression profiles [67]. Furthermore, the rat sarcoma (RAS)/extracellular signal-regulated kinase (ERK)/NFκB was detected as a significant µg-regulated pathway. This was also the case for the p53 pathway. These results suggest novel molecular targets to prevent macrophage differentiation deficiency in µg [67].

An in vivo mouse study reported the effects of spaceflight (ISS project, 35 d in orbit) on secondary lymphoid organs at the molecular level [95]. Whole-transcript cDNA sequencing (RNA-Seq) analysis of the spleen revealed that erythrocyte-related genes regulated by GATA1 were significantly reduced in ISS-flown vs. ground control mice. In addition, the GATA1 and Tal1 mRNA expression was downregulated. These reductions were not entirely alleviated by 1g exposure on the ISS, advocating that the combined effect of space environments apart from µg could alter gene expression in the spleen. This study showed that the unique ISS environment affects the homeostatic gene expression of the spleen in mice [95].

Female C57BL/6J mice flew with STS-135 in July 2011 as part of the Commercial Biomedical Testing Module-3 (CBTM-3) payload [141]. Despite decreases in splenic leukocyte subsets, elevations in reactive oxygen species (ROS)-related activity could be measured. The functional analysis of gene expression and metabolomic profiles showed that the functional changes are not due to oxidative or psychological stress. No corresponding increase in genes related to ROS metabolism was detectable. An elevation in expression profiles related to fatty acid oxidation with decreases in glycolysis-related profiles. These findings suggest a link between immune function and metabolism in spaceflight [141].

To prepare for future spaceflight experiments and to support findings from r-µg, studies under conditions of s-µg were performed to increase the current knowledge about genomic changes of the immune system in µg in vitro and in vivo.

A recent bioinformatics study investigated how s-µg, created by an RPM, influences circulating and tissue-resident T cells [142]. The 3D cell culture attenuates the effects of RPM exposure on the T-cells’ transcriptome and nuclear alterations compared to 2D cell culture [142]. This study is the first to apply 3D models under the effects of s-μg showing that T cells residing in tissue are less affected by the RPM than circulating T cells in the periphery.

Another study focused on the effects of clinorotation on macrophage phenotypes M0, M1, and M2 [143]. µg results in a decrease in TNF-α expression and an increase in IL-12 and VEGF expression. IL-10 was also significantly increased in M1 and M2, but not M0 macrophages. These data provide new knowledge about the macrophage phenotypic function in µg [143].

Spatz et al. [144] reported the results of PBMCs exposed to an RVW. High-parameter mass cytometry revealed that RWV exposure of PBMCs dampens important innate and adaptive immune cell effector functions. An increase in the suppressive immune cell function was detectable. RWV exposure of PBMC results in a multi-cellular immunosuppressive response that may contribute to the impairment of the immune system and the defense against pathogens [144]. A further study investigated transcriptional and post-transcriptional regulations based on gene and miRNA expression profiles in human peripheral blood lymphocytes exposed to the RWV [145]. Two hundred and thirty dysregulated TF-miRNA (transcription factor and microRNA) feed-forward loops (FFLs) were identified in s-µg. Associations of RWV exposure with dysfunctions of multi-body systems and tumorigenesis were reported [145].

The application of Radio Electric Asymmetric Conveyer (REAC) technology is a new approach to counteract the loss of T-cell activity [146]. RPM exposure and REAC treatment confirmed the T-cell activation recovery and improved the gene expression of IL2 and IL2Rα. In addition, there is evidence that REAC technology could contribute to understanding T-cell growth responsiveness in space [146].

The adrenergic receptor is an essential regulator of the immune system. The impact of µg on the adrenergic system is not yet understood [147]. The authors studied the synergistic effects of isoproterenol, radiation, and RVW exposure on non-stimulated PBMC. The results revealed significant synergistic effects on the expression of the β2-adrenergic receptor gene (ADRB2). Radiation alone increased ADRB2 expression, and cells incubated in µg had more DNA strand breaks than cells incubated in normal gravity. Isoproterenol prevented most of the µg-mediated effects [147].

Paul et al. [148] used an in vivo model for spaceflight simulation (mice, 21d, hindlimb unloading (HLU) combined with continuous low-dose gamma irradiation) to study immune and hematological systems at 7-days post-exposure. Among others, the spleens were analyzed by whole transcriptome shotgun sequencing (RNA-sequencing). Murine Reactome networks indicated that most spleen cells displayed DEGs involved in signal transduction, metabolism, cell cycle, chromatin organization, and DNA repair. DEG analysis of the spleen revealed expression profiles associated with inflammation and dysregulated immune function persist to 1-week post-simulated spaceflight. This work showed differential immune and hematological outcomes 7d post-exposure [148].

Finally, Zhu et al. [149] introduced a ground-based zebrafish disease model of µg using an RCCS. RNA seq analysis revealed that s-µg significantly influenced the retinoic-acid-inducible gene (RIG)-I-like receptor (RLR) and the Toll-like receptor (TLR) signaling pathways. Simulated-µg hampered the TRIM25-mediated K63-linked ubiquitination of RIG-I and attenuated the antiviral innate immune responses. The TRIM25 function–induction positive feedback loop is essential in antiviral immunity, and the reduced TRIM25 expression under s-µg interferes with the feedback loop. This model improves the current knowledge about host antiviral immunity in s-µg [149]. An overview of all results is given in Table 5.

Table 5.

Changes in gene regulation of immune system components exposed to microgravity conditions.

Cell Type Gene Regulation Microgravity Reference
Mouse splenic dendritic cells and mouse Flt-3L-differentiated BMDCs Downregulation of IL6, IL1B, IL12B, and CXCL10 s-µg on an RPM for 24 h [130]
Human blood plasma and peripheral blood mononuclear cells from astronauts Significant increase in cell-free mitochondrial DNA with high variability (between 2- and 355-fold); IL6, IL8, SOD1, SOD2, GPX1, NOX4, GADD45, CAT1, DNA-PK, and PARP1 elevated in at least 1 of the postflight time points r-µg on the ISS for 5–13 d [131]
Whole blood samples from astronauts The most commonly mutated gene was TP53 (7 variants) followed by DNTM3A (6 variants) accounting for 38% of mutations detected r-µg on the ISS (median 12 d) [132]
Human plasma from two male monozygotic twins, one on Earth, one in space (NASA Twins study) Significant increase in the proportion
of cell-free mitochondrial DNA over time
r-µg on the ISS for 340 d [133]
Humans blood from two male monozygotic twins, one on Earth, one in space (NASA Twins study) IL-6, TNFR1, and TNFR2 non-canonical NF-kB pathways were affected r-µg on the ISS for 340 d [134]
Human blood from two male monozygotic twins, one on Earth, one in space (NASA Twins study) No persistent alteration of long-chain fatty acid desaturase and elongase gene expression associated with 1 year in space r-µg on the ISS for 340 d [135]
Human Jurkat T cells 5 µg-sensitive transcript clusters: G3BP1, KPNB1, NUDT3, POMK, SFT2D2 r-µg on a sounding rocket for 5 min and s-µg on a clinostat for 5 min [136]
Human cell line U937 and human Jurkat T cells HIF1A was differently regulated in early response to altered gravity, quick adaption of HIF-1α-dependent gene expression (only IL1B continuously downregulated under µg and
SERPINE1, PDK1, and SLC2A3 continuously upregulated under hyper-g)
r-µg on a parabolic flight for 20 s and r-µg on a sounding rocket for 5 min [137]
Human Jurkat T cells Gene expression upregulation in chromosome 18 and downregulation in chromosome 19 for all alterations of r-µg conditions r-µg on a parabolic flight for 20 s, r-µg on a sounding rocket for 5 min, and s-µg on a clinostat for 5 min [138]
Human myelomonocytic U937 cells and human Jurkat T cells U937 cells: differentially regulated transcripts during parabolic flight and sounding rocket missions: CYBA, PTGS1, PXDN, and ALOX12, GCLM, GSR, MSRA, MT3, OXSR1, PRDX4, PRNP, PTGS2, SELS, SOD1, respectively.
Jurkat T cells: no response of oxidative stress-related transcripts to altered gravity
r-µg on a parabolic flight for 20 s, r-µg on a sounding rocket for 5 min [139]
Human Jurkat T cells 5 transcripts found to be gravity-regulated in both independent experiments: ATP6V1A, ATP6V1D, IGHD3-3, IGHD3-10, LINC00837 r-µg on a parabolic flight for 20 s, r-µg on a sounding rocket for 5 min [140]
Mouse hematopoietic progenitor cells Downregulation of genes of the RAS/ERK/NFκB signaling pathways r-µg on the Tianzhou-1 cargo ship for 12 days and r-µg on the SJ-10 recoverable satellite for 12 d [67]
Male C57BL/6 J mice Downregulation of GATA1 and Tal1, downregulation of GATA and Tal1-mediated transcripts r-µg on the ISS for 35 d [95]
Female C57BL/6J mice Selected genes involved in glycogen metabolism: Foxo1, Gbe1, Gys2, Ppp1cb, Ppp1ca, Gsk3b, Pck1 upregulated; Pygl downregulated r-µg on Space Shuttle mission STS-135 for 13 d [141]
Human Jurkat T cells Resting T cells: FLT1, OTULIN, GPBP1L1, TP53BP1, STK38, PDS5A, PIK3R4, ABCC5, BRWD3, HSPH1, BRD8, NAPB, SLC5A3 upregulated; CXCR3, RBM3, C19orf60, APOBEC2C, SNHG11, SNHG17, ASPSCR1, SFXN2, DCAF16 downregulated
Activated T cells: KDM58 upregulated; RBM3, HES1, CXCR3, TUBA4A, HCST, ARID5A, LIMD2, YRDC, LY9, APOBEC3C, LANCL2, RNASEH1, STT3B, PHF7 downregulated
s-µg on an RPM for 24 h [142]
Murine macrophage RAW 264.7 cells M0 phenotype: Cd86, Actb upregulated, Arg1 downregulated
M1 phenotype: Cd86, Mrc1, Actb upregulated
M2 phenotype: Cd86, Mrc1, Arg1, Actb upregulated
s-µg on an RWV for 3 d [143]
Human peripheral blood mononuclear cells s-mg decreased effects of 1.5 h-long ConA/anti-CD28 stimulation on IL2RA, TNFA, CD69, and CCL4 s-µg on a HARV for 18 h [144]
Human peripheral blood lymphocytes 230 dysregulated transcription factor and microRNA feed-forward loops were found in µg including immune, cardiovascular, endocrine, nervous, and skeletal system subnetworks s-µg on an RWV for 24 h [145]
Human peripheral blood mononuclear cells The Radio Electric Asymmetric Conveyer technology could increase IL2 and IL2R gene expression under s-µg s-µg on an RPM for 2, 4 and 12 h [146]
Human peripheral blood mononuclear cells BAX, CASP3, PCNA, LIG4, and MDM2 were positively correlated with all cytokines, expressions of AKT1, TP53, PARP1, OGG1, and APXE1 were negatively correlated with these cytokines s-µg on an RWV for 24 h (+10μM (-)-isoproterenol hydrochloride and/or 0.8 or 2 Gy radiation) [147]
Female C57BL/6J mice Top 5 upregulated: Slc22a4, Wt1os, 1700063H04Rik, Eral1, Zfp341
Top 4 downregulated: Tmem161b, Prrc1, Kbtbd8, Gm33989, Vps39
s-µg by hindlimb unloading + 0.04 Gy irradiation [148]
Danio rerio embryos Both RLR and TLR signaling pathways were enriched with upregulated genes upon poly(I:C) stimulation and enriched with downregulated genes under s-µg conditions (trim25, nlrx1, traf6, and traf2a and traf6, tlr7, respectively) s-µg on an RCCS for 24 h [149]

Abbreviations: Bone marrow dendritic cells (BMDCs); days (d); high aspect ratio vessels (HARV); head-down tilt (HDT); hours (h); International Space Station (ISS); random positioning machine (RPM); real microgravity (r-µg); rotating cell culture system (RCCS); Rotating wall vessel (RWV); simulated microgravity (s-µg); three-dimensional (3D).

3.7. Effects of Microgravity on Cartilage

The only study conducted in r-µg during spaceflight was completed by Fitzgerald et al. [150] (Table 6). The authors exposed mice to 30 days µg on board a BION-M1 capsule and subsequently analyzed articular and sternal cartilage samples for gene expression changes. In articular cartilage, they found a total number of 47 differentially expressed genes (10 upregulated, 37 downregulated) by more than 2-fold, 17 of which were coded for proteins involved in structural cartilage ECM or joint pathology. They measured 30 upregulated and 35 downregulated genes in sternal cartilage compared to ground controls. Interestingly, the differentially expressed genes in both cartilage tissues were regulated in opposite directions. The authors proposed that this may be due to the different biomechanical environments of the two samples [150].

Table 6.

Changes in gene regulation of cartilage exposed to microgravity conditions.

Tissue/Cell Type Gene Regulation Microgravity Reference
Mouse articular cartilage Upregulated: Igkv6-20, Eif3m, Stfa2, Ms4a3, Gstm2, Gm10417, Top2a, Rbm3, Ifitm6, Igkv4-91
Downregulated: Omd, Olfr1437, Gm6432, Fmod, Gm10673, Ogn, C1s, Olfr118, Olfr1454, Serpina1b, Olfr764, Gsn, Ccdc80, Slc35e3, Olfr948, Clu, Dcn, Olfr347, Olfr1014, Gm21428, Ect2l, Dpt, Prg4, Prelp, Olfr338, Angptl7, Col10a1, Retnla, Myoc, Thbs4, Pcolce2, Cyp2e1, Cxcl13, Clec3a, Comp, Ecrg4, Cytl1
r-µg spaceflight BION, 30 d [150]
Mouse sternal cartilage Upregulated: Klhl38, Acot2, Fbxo32, Nr1d1, Trim63, Htra4, Lox, Prg4, Slc43a1, Lmod2, Aldoc, Slc39a8, Etv5, n-R5s88, Chac1, Tango2, Pdk4, Chi3l1, Impdh2, Zfp600, Sesn1, Myf6, Cfhr2, Tsen15, Omd, Inmt, Sgcg, Gm5886, Tacc2, Ankrd1
Downregulated: Taf1d, Hba-a2, Mki67, Slc4a1, Atp6v0d2, Sfrp2, Car1, Nr4a1, Mpo, Svs3b, Hist1h3f, Retnlg, Hist1h3a, Top2a, Hist1h3d, Hist1h3i, Hist1h2ab, Alpl, Hist2h3c2, Hbb-bs, Hbb-bt, Col1a1, Acp5, Hp, Car2, Igkv4-55, Gypa, Ltf, Igkv1-117, Ibsp, Mmp13, Mmp9, S100a9, S100a8, Ngp
Meniscus constructs from healthy human meniscus fibrochondrocytes (male and female donors) Upregulation: BMP8A, CD36, COL10A1, COL9A3, FGF1, IBSP, IHH, MMP10, PHOSPHO1, S100A1, SPP1
Only in a subpopulation of high-responding (related to COL10A1 expression) cells from female donors
s-µg on an RCCS for 3 weeks [151]
Tissue-engineered menisci from human female and male meniscus fibrochondrocytes Top 10 Upregulated: IGFBP1, OLFML2A, NET O 1, ADAMTS14. PCSK9, VSTM2L, BMPER, NTM, HMOX1, CAPG
Top 10 Downregulated: LEP, R3HDML, APLN, STC1, NGF, TGFA, VEGFA, DSCAML1, ADAMTSL2, PDE4C
s-µg on an RCCS for 3 weeks [152]
Primary bovine chondrocytes Downregulation: TRPC1 (5- to 10-fold) s-µg on the RPM for 6 and 8 d [153]
Human articular chondrocytes Upregulation of IL6, RUNX2, RUNX3, SPP1, SOX6, SOX9, and MMP13 s-µg on the RPM for 24 h [154]

Abbreviations: Days (d); hours (h); random positioning machine (RPM); real microgravity (r-µg); rotating cell culture system (RCCS); simulated microgravity (s-µg).

The other studies were conducted under conditions of s-µg on devices such as the RCCS or the RPM. Ma et al. [151] first generated engineered meniscus tissues by seeding meniscus fibrochondrocytes from female and male donors onto a cylindrical type 1 collagen scaffold and incubating them for two weeks in a TGF-b3-rich chondrogenic medium. The resulting meniscus models were then cultivated either as static controls or on an RCCS employing slow-turning lateral vessels for a further three weeks. Subsequently, the samples were subjected to RNA-seq and quantitative reverse transcription polymerase chain reaction (qRT-PCR). The resulting data were further stratified based on the COL10A1 expression levels. Female donors could be classified into low and high responders, while male donors remained in one group. Remarkably, genes related to osteoarthritis (BMP8A, CD36, COL10A1, COL9A3, FGF1, IBSP, IHH, MMP10, PHOSPHO1, S100A1, and SPP1) were significantly upregulated only in the female high-responder group, but not in the two others [151].

Further analysis of the same samples showed that the response to mechanical loading and unloading occurred in a sex-dependent manner (Table 6) [152]. A total of 93 regulated genes were unique for men, 163 for women, and 94 genes were regulated in both sexes. Meanwhile, in men and women, the most enriched KEGG pathway was HIF signaling; in women, it was followed by glycolysis/gluconeogenesis, carbon metabolism biosynthesis of amino acids, and steroid biosynthesis. In men, the top five KEGG-enriched pathways were completed by ferroptosis, transcriptional dysregulation in cancer, the VEGF signaling pathway, and glycolysis/gluconeogenesis. The authors suggested that these findings may have implications for possible targets for new drugs against osteoarthritis [152].

On the RPM, gene expression levels of the mechanosensitive ion channel TRPC1 were reduced 5- to 10-fold in gene expression in adherent and suspension cultures of bovine chondrocytes. Furthermore, the authors showed that the TRPV4 gene expression decreased with progressing dedifferentiation, indicating its vital role in chondrocyte phenotype maintenance [153].

Gene expression analyses on human articular chondrocytes exposed to the RPM for 24 h showed significant upregulations of IL6, RUNX2, RUNX3, SPP1, SOX6, SOX9, and MMP13. At the same time, IL8, ACAN, PRG4, ITGB1, TGFB1, COL1A1, COL2A1, COL10A1, SOD3, SOX5, MMP1, and MMP2 remained unchanged, indicating that the chondrocytes experienced stress, as evidenced by the expression of markers for osteoarthritis and cartilage damage [154].

A summary of all findings is given in Table 6.

3.8. Effects of Microgravity on Muscle Cells

Transcriptomic alterations in muscle tissue were studied in space-flown mice. It was shown that 9 weeks of spaceflight on the ISS induced differential gene expression and differential alternative splicing patterns in the gastrocnemius and quadriceps muscles of 30-week-old female BALB/c mice [155]. The authors found 105 differentially expressed genes exclusive for the gastrocnemius and 55 genes exclusive for the quadriceps. In addition, 15 genes were regulated in both tissues. Differential alternative splicing occurred in 21 genes for both muscles; meanwhile, 159 genes were identified only in the quadriceps and 51 genes only in the gastrocnemius. Notably, transcripts belonging to skeletal muscle proteins were mainly differentially spliced and less differentially expressed, which hints at a key role of alternative splicing in the muscle transcriptomic response to µg. Furthermore, alternative differential splicing was more strongly associated with actual physiological changes in the muscles than differential gene expression [155].

Another study on space-flown adult C57Bl/N6 male mice on board a BION-M1 capsule for 30 days explored the altered gene expression profiles in skeletal muscles [156]. A total of 680 differentially expressed genes were found in the soleus muscle, 72 in the extensor digitorum longus, including 24 of which that were identified in both tissues. Pathway analyses revealed that these genes belonged to relevant biological processes such as contractile machinery, calcium homeostasis, muscle development, cell metabolism, and inflammatory and oxidative stress responses. The authors proposed that these data might help to find new biomarkers and targets for developing and optimizing countermeasures and post-flight rehabilitation [156].

A third study specifically focused on NRF2, regulating the expression of heme oxygenase 1 and inhibiting the NLRP3 inflammasome. For this, male C57BL/6J wild-type and Nrf2-knockout (KO) mice were housed for 31 days on board the ISS in r-µg. Afterwards, an RNA-seq analysis was conducted on soleus muscle samples [157]. Overall, it was found that the expression of NRF2 targets under µg was significantly downregulated in KO mice compared to wild-type animals. Furthermore, exposure to µg doubled the differentially expressed genes between KO and wild-type mice (60 under 1g vs. 120 under µg). In addition, enrichment analyses revealed glucose metabolic processes and glycolysis/gluconeogenesis to be upregulated and processes such as brown fat differentiation and response to oxidative stress to be downregulated in KO mice under µg. Considering additional histological analyses, which showed that the transition from oxidative to glycolytic muscle fibers was accelerated in KO mice, the authors concluded that NRF2 influences µg-induced myofiber transition [157].

To test artificial gravity as a countermeasure for muscle atrophy in space, three groups of C57BL/6 J male mice were analyzed: one stayed on Earth as the ground control, the second was left in µg, and the third was subjected to an in-flight 1g centrifuge during a 35-day stay on the ISS [158]. The authors found that the 1g environment prevented decreases in muscle mass and compositional changes in fiber types in the animals’ soleus muscle compared to the µg group. In addition, centrifugation also prevented µg-induced differential gene expression. Lastly, based on in silico transcriptome analyses, this study identified a novel candidate gene linked to muscle atrophy (Cacng1), which could be validated in further in vitro tests [158].

A summary of all findings is given in Table 7.

Table 7.

Changes in gene regulation of muscle exposed to microgravity conditions.

Muscle Type Gene Regulation Microgravity Reference
Mouse gastrocnemius and quadriceps muscles DEGs in both muscles: Atp5g2, Peg3, Mid1, Agpat2, Cyfip2, Pgk1, Rpl37a, Nav2, Rpl24, Hspb7, Fabp3, Agbl1, Bdh1, Ccnb1ip1, H2afz r-µg on the ISS for 9 weeks [155]
Mouse soleus and extensor digitorum longus muscles DEGs in both muscles: Orm1, Myo5a, Hp, Adipoq, Lcn2, Snhg5, Acp5, Snhg1, Cdkal1, Cfd, Cdkn1a, Myf6, Eif4ebp1, Synj2, Sesn1, Pnmt, Snhg1, Npr3, Sorbs1, Aspn, Ung, Mafb, Tfrc, Dbp r-µg on a BION-MQ-capsule for 30 d [156]
Mouse soleus muscle A total of 1130 differentially expressed genes were found between wild-type and Nrf2 knock-out mice; top 10 enriched pathways: mitochondrial dysfunction, oxidative phosphorylation, sirtuin signaling pathway, remodelling of epithelial adherens junctions, ILK signaling, epithelial adherens junction signaling, integrin signaling, germ cell–sertoli cell junction signaling, actin cytoskeleton signaling, EIF2 signaling r-µg on the ISS for 31 d [157]
Mouse soleus muscle Identification of voltage-dependent calcium channel gamma-1 subunit (Cacng1) as a novel candidate gene for muscle atrophy r-µg on the ISS for 35 d [158]

Abbreviations: Days (d); differentially expressed genes (DEGs); International Space Station (ISS); real microgravity (r-µg).

3.9. Effects of Microgravity on Bone

Cells from the mouse osteocytic line Ocy454 were exposed to 2, 4, and 6 days of r-µg during the SpaceX Dragon-6 resupply mission and subsequently subjected to a global transcriptome analysis to elucidate the mechanisms of gravisensing and the responses to µg in late osteoblasts and osteocytes. It could be shown that prolonged exposure to µg leads to more substantial changes in gene expression. Enrichment analyses of the regulated genes showed a strong association with osteoporosis, bone resorption, detection of mechanical stimuli, bone development, regulation of osteoclast differentiation, and sensor reception of mechanical stimuli. After 6 days, the top differentially expressed pathways were involved in glucose metabolism, and the chief molecular and cellular functions were carbohydrate metabolism, cell death and survival, and cellular development. Interestingly, control experiments in s-µg on an RCCS could not sufficiently replicate the findings from space. By comparing their data with other datasets from the NASA GeneLab database, the authors could also identify a set of 10 mechanosensitive transcripts regulated over different cell types and which might indicate a common response to µg (Table 8). The study showed that exposure to µg impaired osteocyte differentiation and increased glucose metabolism and oxygen consumption [159].

Table 8.

Changes in gene regulation of bone cells exposed to microgravity conditions.

Cell Type Gene Regulation Microgravity Reference
Mouse Ocy454 Top 5:
2 d upregulated: Cxcl14, Mmp13, C2cd4a, Cdc25c, Gdf7
2 d downregulated: Fabp3, Ptprz1, Sparcl1, Slc12a2, Ogn
4 d upregulated: Scgb1b12, Acan, Taar5, Pappa2, Cfap20dc
4 d downregulated: Slc12a2, Tfrc, Ajuba, Idi1, Dmp1
6 d upregulated: Car9, Egln3, Serping1, Tmem45a, Selenbp1
6 d downregulated: Cth, Ctps, Pinx1, Ddx21, Ostn
r-µg on the ISS for 2, 4, and 6 d [159]
Human blood-derived stem cells Methylation at histone H3 sites H3K4me3, H3K27me2/3, H3K79me2/3, and H3K9me2/3 mediates cellular reprogramming that drives gene expression r-µg on the ISS for 72 h [160]
Murine osteoblasts and osteoclasts Downregulation: Atf4, RunX2, Osterix r-µg on the ISS for 14 d [26]
Human bone marrow mesenchymal stem cells Downregulation: CDKN3, MCM5, CCNB1, CDK1, RUNX2, ALPL, BMP2, and COL1A1
Upregulation: RUNX2, ALPL, BMP2, and COL1A1
s-µg on an RPM for 2, 7, and 14 d [161]
Human fetal osteoblast cells Differential gene expression of TGFB1, BMP2, SOX9, ACTB, TUBB, VIM, LAMA1, COL1A1, SPP1, and FN1 s-µg on an RPM for 7 and 14 d [162]
7F2 murine pre-osteoblasts Downregulation: Alpl, Run, and on after 6 days, no difference between g-levels s-µg (“full”, 0.16 g (Moon), and 0.38 g (Mars)) on an RPM for 2, 4, and 6 d [163]
MC3T3-E1 mouse pre-osteoblasts Identification of 3 core circRNAs (circ_014154, circ_010383, and circ_012460) and six core mRNAs (Alpl, Bg1ap, Col1a1, Omd, Ogn, and Bmp-4) involved in osteogenic differentiation under µg s-µg on an RCCS for 72 h [164]

Abbreviations: Days (d); hours (h); random positioning machine (RPM); real microgravity (r-µg); rotating cell culture system (RCCS); simulated microgravity (s-µg).

Another experiment also studying osteogenic differentiation in space analyzed epigenetic changes in human blood-derived stem cells grown in an osteogenic medium for 72 h. It was found that methylation at H3K4me3, H3K27me2/3, H3K79me2/3, and H3K9me2/3 residues were involved in cellular reprogramming and induction of gene expression [160].

In a 14-day co-culturing experiment with osteoclasts, osteoblasts, and endothelial cells on board a SpaceX Dragon spacecraft, it was shown that µg reduced the expression of key osteoblast genes such as ATF4, RUNX2, and Osterix and that these effects could be reversed by supplementation with irisin, which might represent a countermeasure against astronaut bone loss [26].

Besides r-µg in space, s-µg devices were also used to study the effect of µg on bone cells. Li et al. [161] exposed human bone marrow mesenchymal stem cells cultured in an osteogenic medium to altered gravity conditions on an RPM for 2, 7, and 14 days. They found that s-µg inhibited cell proliferation and differentiation towards osteoblasts but drove the cells toward adipogenesis instead. This was reflected by the expression profiles of genes related to the cell cycle (downregulation of CDKN3, MCM5, CCNB1, CDK1, and CDC20), osteogenic differentiation (downregulation of RUNX2, ALPL, BMP2, and COL1A1), and adipogenic differentiation (upregulation of PPARG, CEBPA, CEBPB, and CFD). Furthermore, the upregulation of tumorigenic genes was observed at the last time point [161].

To engineer bone tissue under s-µg, Mann et al. [162] exposed human fetal osteoblast cells to an RPM for 7 and 14 days (Table 6). The authors reported differential gene expression of TGFB1, BMP2, SOX9, ACTB, TUBB, VIM, LAMA1, COL1A1, SPP1, and FN1. Notably, some of the initially adherently growing cells detached from the substrate and formed multicellular spheroids, which displayed bone morphological properties after 14 days [162].

Braveboy-Wagner and Lelkes [163] used an RPM to simulate different partial gravity conditions comparable to the Moon, Mars, and “full” s-µg (Table 8). They studied the gene expression of the osteogenic markers ALPL, RUN, and ON in 7F2 osteoblasts cultured under different conditions and found that all three altered gravity levels induced a sharp decrease in the gene expression of all three markers. However, in contrast to cell proliferation rates and alkaline phosphatase activities, which were also analyzed in this study, the gene expression changes were not dose-dependent, but all RPM conditions induced identical reductions. This hints towards a certain gravity threshold, which induces a more binary on–off switching of these genes [163].

Cao et al. [164] focused on a relatively new class of non-coding RNAs, the circular RNAs (circRNAs), to determine whether they are involved in the answer of osteoblasts to conditions of s-µg. For this purpose, they cultivated mouse pre-osteoblast MC3T3-E1 cells in an RCCS for 72 h and then performed an RNA-seq transcriptome analysis. As a result, differential expression with a fold change ≥ 2 was observed for 427 circRNAs (232 upregulated, 95 downregulated) and 1912 mRNAs (991 upregulated, 921 downregulated). Furthermore, KEGG analyses revealed an enrichment in the regulation of the actin cytoskeleton, focal adhesion, and RAS signaling pathway in the differentially expressed mRNAs. By taking into account the centrality of the detected circRNAs and mRNAs to osteoblast function, nine core regulatory factors were identified, comprising three circRNAs (circ_014154, circ_010383, and circ_012460) and six mRNAs (Alpl, Bg1ap, Col1a1, Omd, Ogn, and Bmp-4), which were additionally validated by qRT-PCR. Finally, circ_014154 was the circRNA, which most likely plays a central role in osteogenic differentiation under µg conditions [164].

A summary of all findings is given in Table 8.

3.10. The Impact of Microgravity on Cancer Cells

Cancer cells exhibit an elevated survival potential, uncontrolled proliferation, unlimited replicative potential, increased angiogenesis, high invasion potential, and metastasis [165]. Therefore, it is crucial to develop novel strategies to prevent, diagnose, treat, and cure the different types of cancer. Despite improved knowledge of the underlying mechanisms and pathways contributing to disease progression in various cancer types, curing this disease remains challenging.

Humans in space live in an extremely hostile environment with cosmic radiation, microgravity, a hypomagnetic field, and other stress factors [166]. The risk for cancer in space travelers is still unclear, but microgravity plays a role in the carcinogenesis of normal and cancer cells resulting in various alterations on the cellular level. Moreover, deleterious effects of radiation on cells seem to be accentuated under microgravity [166].

A recent study used deep, error-corrected, targeted DNA sequencing to detect somatic mutations in clonal hematopoiesis (CH)-driver genes in peripheral blood mononuclear cells isolated from the blood samples of 14 astronauts attending Space Shuttle missions between 1998 and 2001 [132]. The authors detected 34 nonsynonymous mutations of relatively low variant allele fraction in 17 CH-driver genes [132]. Predominantly mutations in TP53 and DNMT3A were found. Therefore, future retrospective and prospective examinations with a focus on clinical relevance and potential application in monitoring astronauts’ health are necessary. TP53 encodes the tumor suppressor p53 which is induced by various stress stimuli. P53 plays a role in apoptosis, DNA repair, growth arrest, or senescence. P53 dysregulation is a risk factor for developing cancers and is a candidate to be examined after deep exploration missions. Drago-Ferrante et al. [167] recently reviewed the available literature to answer this question, “Extraterrestrial Gynecology: Could spaceflight increase the risk of developing cancer in female astronauts?” The authors found a lack of knowledge on the effects of cosmic radiation and microgravity on gynecologic cancer. As of now, the number of female crewmembers who have attended a long-term mission is too small to answer this question [167].

A research paper published by Reynolds and coauthors [168] studied a group of 301 astronauts and 117 cosmonauts. The authors concluded from their results that if ionizing radiation is impacting the risk of death due to cancer and cardiovascular disease, the effect is not dramatic. They reported that they failed to find evidence sufficient to conclude that historical doses of space radiation pose an excess mortality risk for astronauts and cosmonauts. However, the planned deep space exploration will likely offer higher doses of space radiation than historical doses have, which will lead to a different risk profile for future space travelers [168].

The cancer incidence and mortality in the USA astronaut corps from 1959 to 2017 was published by Reynolds et al. [169]. The cohort consisted of 338 NASA astronauts. The average follow-up time was 28.4 years. In comparison to the general population, US astronauts show a decreased risk of cancer-specific mortality overall [169].

The following subchapters focus on the effects of r- and s-µg on gene expression and genetics in different cancer cell types, such as thyroid, breast, prostate, and lung cancer, as well as the gastrointestinal tract and skin tumors. This concise review clearly shows that µg research has become an important new technology to advance our knowledge in the field of cancer biology and investigates the impact of real and simulated weightlessness on the gene regulation and genetics in cancer. The most important publications are listed in Table 9.

3.10.1. Gene Expression in Thyroid Cancer Cells under the Influence of Gravitational Changes

Unlike other common cancers, thyroid cancer usually occurs at younger ages and affects women two to three times more often than men, and thus becomes the second most common cancer in women under the age of 40 [170]. However, papillary thyroid carcinoma (PTC), which is common and occurs at a younger age, is easily treatable compared to follicular thyroid cancer and medullary thyroid cancer. The PTC is partially inherited and is associated with rearranged during transfection (RET) rearrangements and RET/PTC fusions [171]. In contrast to other thyroid cancer types, anaplastic thyroid cancer, which accounts for about 2% of thyroid carcinomas and occurs mainly in the elderly, has a poor 5-year survival rate of 7% [172]. In the astronaut population study of the US Astronaut Corps between 1959 and 2013 only one astronaut with thyroid cancer was found [169].

On the other hand, a reduction in thyroid activity (hypothyroidism) under space conditions was already observed in the mid-1980s during the “Cosmos-1667” and “Cosmos-1887” missions [173]. This coincidence led to a common interest of space research and cancer research in the molecular mechanisms behind these changes in thyroid function. Accordingly, this chapter summarizes the results of the last five years of molecular medicine research with a focus on gene expression changes in thyroid cancer under µg.

In 2017, Bauer and co-workers presented a differentiated approach to analyzing proteomic data in three publications [174,175,176]. The basis of these three analyses were FTC-133 thyroid cancer-cell spheroids after a two- or five-day exposure on the RPM that were compared to adherent cells of the s-µg experiment and static 1g controls. The FTC-133 cell line was initially obtained from a lymph node metastasis of follicular thyroid carcinoma of a 42-year-old male. A total of 5900 proteins were quantified by mass spectrometry [174]. Protein interaction analyses led the authors to hypothesize that during spheroid formation, increased ASAP1 production accompanied by decreased CAV-1 and p130cas levels causes localization of PXN, VCL, and PTK2 to the focal adhesion complex, thereby indirectly leading to the detachment of the cells [174]. The same year, Johann Bauer’s team developed a semantic knowledgebase using the FTC-133 protein dataset and publicly available data to capture the functional properties of proteins in a structured way [175]. This was expanded in 2018 to capture post-translational modifications (PTMs) and to analyze rare experimental results. PTMs, such as phosphorylation, glycosylation, ubiquitination, and acetylation for 69 candidate proteins from the original FTC-133 s-µg experiment, were determined and documented [176].

The type II transmembrane protein aspartate β-hydroxylase (ASPH) is overexpressed in different cancer types and involved in proliferation, invasion, and metastasis [177]. In FTC-133 cells, it was found to be significantly upregulated in the hypergravity phase of the TEXUS-53 rocket flight mission [178]. Simulation of the hypergravity phase of the rocket mission in a centrifuge (18g for 1 min) resulted in moderate but significant regulations of COL1A1, VCL, CFL1, PTK2, IL6, CXCL8, and MMP14 [179]. Nassef and co-workers compared live-cell imaging of the TEXUS-53 mission (FTC-133 thyroid cancer cells) with live-cell imaging of the TEXUS-54 mission (MCF-7 breast cancer cells) and found comparable cytoskeletal alterations such as filopodia and lamellipodia and suggested a common gravitational mechanism in human cancer cells [180].

Wise and co-workers [181] examined supernatants of FTC-133 thyroid cancer cells from the CellBox-1 module of the SpaceX CRS-3 cargo transport to the ISS. The cell culture supernatants comprise extracellular vesicles (EV) containing phospholipid bilayers for extracellular secretion. Transfer of tumor EVs has enhancing effects on the proliferation, migration, and treatment resistance of the recipient tumor cell. Measurements with imaging interferometric reflectance of the single particle from the spaceflight revealed an increase in the CD9/CD81 population compared with 1g ground controls. How far this impacts the tumor’s aggression has to be shown in further studies. After remaining on the ISS, FTC-133 thyroid cancer cells developed MCS in all six units [182]. Melnik and co-workers quantified the RNA level in 19 candidate genes via qPCR and the proteins released into the supernatants (n = 25). Comparison of the 5-day µg-grown spheroids with the ground control revealed a significant expression depletion in VCL, PXN, ITGB1, RELA, ERK1, ERK2, MIK67, and SRC, whereas ICAM1, COL1A1, and IL6 were upregulated exclusively in the µg-adherent cells. The protein secretion measured by multianalyte profiling technology was not significantly altered, with the exception of elevated angiopoietin 2 (Ang-2). The supernatants of 10-day space-flown samples showed an increase in the Ang-2 level compared with the corresponding 10-day ground control [182].

Table 9.

Changes in gene regulation of different cancer cells exposed to microgravity conditions.

Cancer Type Cell Line Gene Regulation Microgravity Reference
Thyroid
Cancer
FTC-133
  • Downregulation of VCL, PXN, ITGB1, RELA, ERK1, ERK2 in RPM-AD and MCS

  • Suppression of MIK67 and SRC in MCS

  • Upregulation of ICAM1, COL1A1, and IL6 in RPM-AD cells

Spaceflight to the ISS,
5 d
[182]
FTC-133
  • DEX inhibited dose-dependent spheroid formation;

  • NFKB2, VEGFA, CTGF, CAV1, BCL2 (L1), or SNAI1 were clearly affected by DEX.

RPM,
4 h, 3 d
[183]
FTC-133
  • Exosomal microRNA composition;

  • Array scan of a total of 754 miRNA targets: more than 100 differentially expressed miRNAs

Spaceflight to the ISS,
12 d
[184]
FTC-133
WRO
ML-1
Nthy-ori 3-1
  • DEGs MYC, NR3C1, FKBP5, DUSP1, MUC1, MAPK14

  • Balance between adhesion, anti-adhesion, and cell–cell connections enable detachment of adherent thyroid cells on the RPM

RPM
3 d
[185]
Breast cancer CRL2351
  • Upregulation of VIM, RHOA, BRCA1, and MAPK1 in AD and MCS

  • Upregulation of ERBB2 in MCS.

  • No significant change in VEGF and RAB27A.

RPM,
5 d
[186]
MCF-7
  • Significant upregulations of the mRNAs of enzymes degrading heme, ANXA1, ANXA2, CTGF, CAV2, ICAM1, FAS, Casp8, BAX, p53, CYC1 and PARP1 in MCS cells vs. 1g and AD cells.

RPM,
24 h
[187]
MCF-7, MDA-MB-231
  • MCF-7: Downregulation of FAK1, PXN, TLN1, VCL, and CDH1 in AD cells and PXN, TLN, and CDH1 in MCS. Vinculin and β-catenin are key mediators of MCS formation.

  • MDA-MB-231: No change in ACTB, TUBB, FN1, FAK1, and PXN gene expression.

  • Downregulation of LAMA3, ITGB1 mRNAs in AD cells, and ITGB1, TLN1, and VCL mRNAs in MCS.

RPM,
24 h
[188]
MCF-7
  • Early upregulation of KRT8, RDX, TIMP1, CXCL8 mRNAs

  • Downregulation of VCL after the first parabola.

TEXUS-54,
6 min of r-µg, PFC,
31 parabolas
[180]
MDA-MB-231
  • Upregulation of ICAM1, CD44 and ERK1 mRNAs after the first parabola (P1)

  • Delayed upregulation of NFKB1, NFKBIA, NFKBIB, and FAK1 after the last parabola (P31).

  • PRKCA, RAF1, and BAX mRNAs were not changed.

  • Cleaved caspase-3 was not detectable in MDA-MB-231 cells exposed to PF maneuvers.

PFC,
31 parabolas
[189]
MDA-MB-231
  • DEGs in MCS: AKT, KI67, BCL2, BAX, CD44, and MMP9 after 72h; AKT, KI67, BCL2, and MMP9 after 24 h

  • DEGs in RPM-AD: BAX, CD44, and MMP9 after 72 h; BCL2 and MMP9 after 24 h

RPM
24 h, 72 h
[190]
MCF-7, MDA-MB-231
  • qPCR-verified genes search in the mammalian phenotype database and the human genome-wide association studies (GWAS) Catalogue

  • ERK1, AKT1, MAPK14, EGFR, CTNNA1, CTNNB1, ITGB1, COL4A5, ACTB, and TUBB gene expression of MCSs differentially regulated in both cell types.

  • 7 genes (ACTB, CD44, EGFR, ITGB1, PXN, TUBB, and VCL) were successfully analyzed using WCGNA

RPM
14 d
[191]
Prostate
cancer
PC-3
  • 3 d: Downregulation of VEGF, SRC1, AKT, MTOR, and COL1A1 in MCS.

  • No change in FLT1, RAF1, MEK1, ERK1, FAK1, RICTOR, ACTB, TUBB, and TLN1 mRNAs.

  • Upregulation of ERK2 and TLN1 in AD and FLK1, LAMA3, COL4A5, FN1, VCL, CDH1, and NGAL mRNAs in AD and MCS

  • 5 d: Downregulations of VEGF in AD and MCS, FN1, CDH1, and LAMA3 in AD and SCR1 in MCS.

  • Upregulations of FLT1, AKT, ERK1, ERK2, LCN2, COL1A1, TUBB, and VCL mRNAs in AD and MCS.

  • Upregulations of FLK1, FN1, and COL4A5 in MCS as well as LAMB2, CDH1, RAF1, MEK1, SRC1, and MTOR mRNAs in AD.

RPM,
3 d, 5 d
[192]
PC-3
  • 24 h: Upregulation of ACTB, MSN, COL1A1, LAMA3, FN1, TIMP1, FLT1, EGFR1, IL1A, IL6, CXCL8, and HIF1A in MCS.

  • Elevation of LAMA3, COL1A1, FN1, MMP9, VEGFA, IL6, and CXCL8 mRNAs in AD.

  • Downregulation of TUBB, KRT8, IL1B, IL7, PIK3CB, AKT1 and MTOR in AD.

RPM,
30 min, 2 d, 4 d, and 24 h
[193]
PC-3
  • Differentially expressed regulatory lncRNAs and micro RNAs, portfolio of 298 potential biomarkers.

  • NGS: 5 upregulated cytokines (CCL2, CXCL1, IL6, CXCL2, CCL20), one zinc-finger protein (TNFAIP3), and one glycoprotein (ICAM1).

  • Regulated miR-221 and the co-localized lncRNA MIR222HG induced by PF maneuvers.

PFC,
31 parabolas
[194]
Lung cancer A549, H1703
  • 24 h: A549 and H1703 highly expressed the migration-related genes MMP2, MMP9, TIMP1, and TIMP2 compared to CONT.

3D clinostat,
24 h, 38 h
[195]
CRL-5889
  • TP53, SOX2, CDKN2A, PTEN, and RB1 gene expressions were significantly upregulated in AD.

  • No change in AKT3, PIK3CA, and NFE2L2.

RPM,
72 h
[196]
A549
  • S-µg induced increased expression of FCGBP, BPIFB, F5, CST1, and CFB

  • Potential biomarkers for lung cancer

2D clinostat 24 h, 48 h, 72 h [197]
Colorectal cancer DLD1 cells
  • Upregulation of PTEN and FOXO3

  • Downregulation of AKT

  • Increase in apoptosis

RCCS-HARV [198]
Gastric
Cancer
EPG85-257 RDB EPG85-257 P
  • Reduced expression of genes related to drug resistance and increased DNA/RNA damage marker expression

RCCS,
72 h
[199]
Liver cancer HepG2 cells
hBTSCs
  • Significant upregulation of

  • OCT4, SOX17, and ALB in HepG2 cells

RCCS,
15 d
[200]
Pancreas
Cancer
PaCa-44
  • Metabolic reprogramming orchestrated by the activation of HIF-1α and PI3K/Akt pathways

RPM,
1 d, 7 d, 9 d
[201]
Skin cancer (Melanoma) BLM
  • Downregulation of the endothelial NOS-sGCMRP4/MRP5 pathway.

  • Suppression of sGC expression and activity correlates inversely to tumor aggressiveness.

  • Downregulation of cancer-related genes iNOS and GC-A/GC-B.

Fast rotating
2D clinostat
[202]

Abbreviations: Adherent (AD); days (d); dexamethasone (DEX); differentially expressed genes (DEGs); high aspect ratio vessels (HARV); hours (h); International Space Station (ISS); parabolic flight campaign (PFC); random positioning machine (RPM); real microgravity (r-µg); rotating cell culture system (RCCS); simulated microgravity (s-µg); Technologische EXperimente Unter Schwerelosigkeit (TEXUS); three-dimensional (3D); two-dimensional (2D).

Dexamethasone (DEX) is an inhibitor of cell proliferation and affects, among others, medullary thyroid cancer cells [203]. It causes a cell cycle arrest at the G1 phase and increased apoptosis. Furthermore, it induces an increase in the p27 expression and an expression depletion of cyclin-dependent kinases. Using synthetic glucocorticoid DEX, Melnik et al. were able to suppress the spheroid formation in FTC-133 cells, which otherwise usually takes place under the influence of s-µg [183]. Furthermore, a DEX-dependent change in the expression of NFKB2, VEGFA, CTGF, CAV1, BCL2, and SNAI1 was detected. DEX thus influences proliferation and migration (VEGFA, CTGF), cell cycle (CTGF), and apoptosis (BCL2).

A new study by Melnik et al. [185] demonstrated that this inhibition was selective for two metastatic thyroid cancer-cell lines, FTC-133 and WRO, whereas benign Nthy-ori 3-1 thyrocytes and recurrent ML-1 follicular thyroid cancer cells were not affected by DEX (0, 10, 100, 1000 nM) when exposed for 72 h to the RPM (Table 9). DEX disrupts random positioning-triggered p38 stress signaling in FTC-133 cells [185]. DEX treatment of FTC-133 cells is associated with enhanced adhesiveness. This process is caused by the restored, pronounced formation of a normal number of tight junctions. In addition, RPM-exposed Nthy-ori 3-1 and ML-1 cells exhibit an elevation in the anti-adhesion protein mucin-1, which might be a protection mechanism against mechanical stress [185]. The balance between adhesion, anti-adhesion, and cell–cell connections enables the detachment of adherent human cells exposed to the RPM or not, allowing selective inhibition of thyroid in vitro metastasis by DEX [185].

3.10.2. Breast Cancer Cells in Microgravity with a Focus on Gene Expression

Female astronauts face in-space galactic cosmic radiation (GCR) and have a greater risk for breast cancer development [204]. Simulated GCR-induced expression of Spp1 coincide with mammary ductal cell proliferation and preneoplastic changes in an ApcMin/+ mouse model [204].

Until very recently, there have been insufficient numbers of women in space exposed to long-duration, low-dose rate, and proton and heavy ion radiation to determine their cancer risk [167].

For various cell types of somatic and tumorigenic origin, profound gene expression and genetic changes have been observed [205,206]. The “source“ of µg may be real, such as in free-fall experiments, parabolic flights, and space, or it may be simulated, such as in RWV, RCCS, or RPMs. In breast cancer, genes particularly affected (and most commonly tested) are those related to proliferation, apoptosis, cancer stemness, and metastatic potential (Table 9).

In a recently conducted 72-h RPM experiment with MDA-MB-231 cells, the gene expression of AKT, BAX, BCL2, CD44, and MMP9 was upregulated compared to the 1g control [190]. This held particularly true for the cells forming spheroids more than for cells remaining surface-adherent [190]. In the same cell line (MDA-MB-231), various changes in gene expression occurred as early as after 24 h [188]. A downregulation of LAMA3, ITGB1 mRNAs in AD cells and ITGB1, TLN1, and VCL mRNAs in MDA-MB-231 MCS was measured after a 24-h RPM exposure. In contrast, the ACTB, TUBB, FN1, FAK1, and PXN mRNAs were not significantly altered in MDA-MB-231 cells [188]. In addition, MCF-7 cells exposed to the RPM showed a decrease in FAK1, PXN, TLN1, VCL, and CDH1 in AD cells and PXN, TLN, and CDH1 in MCS [188].

MDA-MB-231 cells were also exposed to r-µg during a parabolic flight experiment (31 times μg for 22 s) [189]. ICAM1, CD44, and ERK1 mRNA were all upregulated as early as after the first parabola, whereas NFKB1, NFKBIA, NFKBIB, and FAK1 expression was upregulated towards the end of the campaign. Remarkably, CD44 and NFKBIA expression was also upregulated by hyper-g phases. In a further parabolic flight campaign, the same cell line showed upregulations of KRT8, RDX, TIMP1, and CXCL8 mRNAs and a downregulation of VCL expression [180].

In another long-term experiment (2 weeks) on an RPM with MCF-7 cells, the expression of BCAR1 and MAPK8 remained unchanged, while a tendency of reduced expression of CDH1 was observed [207]. Using MCF-7 cells, Wise et al. analyzed cell culture supernatants of cells incubated on an RPM for 5 and 10 days on the change in small EV release compared to the corresponding 1g controls. Similar to their previous study, the number of secreted EVs increased in both RPM groups. Comparing the EV release after 5 vs. 10 days of s-μg, the authors did not find a mentionable difference, suggesting that the regulatory changes of the exosome release are happening early on after the onset of the s-μg condition [208].

Investigating the adenocarcinoma cell line (CRL2351), Strube et al. observed an upregulation of BRCA1, RHOA, VIM, HER2, and MAPK1 in all cells cultured under s-μg (adherent and spheroids), whereas ERBB2 was upregulated in the spheroids, but not in the adherent cells after a five-day RPM exposure. RAB27A was downregulated, while the expression of VEGF remained unchanged [186]. In further experiments with the same cell line lasting only 24 h, the VCAM1 expression was significantly upregulated, while VIM was significantly downregulated. Expression of MAPK1, MMP13, PTEN, and TP53 remained unchanged [209]. As previously described as a phenomenon in µg [210], gene expression levels do not always correlate to detection levels of the respective gene products indicating a counterregulatory effect.

Another study showed that early apoptosis is actively counteracted by activation of the two different survival pathways ERK and Akt occurring in MCF10A and MCF-7 cells (Table 9). However, after 72 h a significant increase in apoptosis was detected only in non-adherent MCF-7 cells, proposing that the loss of adherence and cytoskeletal alterations induced by µg can ultimately overcome the survival strategies of MCF-7 cancer cells [211].

Calvaruso et al. [190] investigated MDA-MB-231 cells under s-μg conditions for 24 and 72 h. MCSs display an increase in both CD44 (cancer stemness) and MMP9 (metastasis) expression. qRT-PCR of the following genes and main regulated processes: AKT and KI67 (cancer proliferation) as well as BAX and BCL2 (apoptosis) was performed. AKT and Ki67 were significantly upregulated in MCS after 72 h [190]. BAX mRNA was elevated in the RPM-AD populations at 72 h, suggesting that AD cells will undergo apoptosis. In contrast, BCL2 was low in RPM-AD cells after 72 h, but highly upregulated in MCS after 72 h indicating the different behavior of the two different phenotypes on the RPM (Table 9) [190].

A recent long-term s-µg study demonstrated an association between the real metastatic microtumor environment and breast cancer cells (MCF-7, MDA-MB-231) exposed to the RPM with respect to biological factors related to the extracellular matrix, cytoskeleton, morphology and different cellular signaling pathways [191]. It was shown that the key elements (ERK1, AKT1, MAPK14, EGFR, CTNNA1, CTNNB1, ITGB1, COL4A5, ACTB and TUBB) were differentially expressed. The ‘Weighted Gene Co-Expression Network Analysis‘ (WGCNA) was applied to examine if these DEGs already known to be involved in the 3D formation of breast cancer cells exposed to µg determine MCS formation in a general way. The WGCNA revealed 7 (ACTB, CD44, EGFR, ITGB1, PXN, TUBB, and VCL) out of 18 genes. The following enrichment analysis determined that this group of genes comprised the cluster of genes responding to the morphology of breast cancer (Table 9) [191].

3.10.3. Gene Expression in Prostate Cancer Cells under the Influence of Gravitational Changes

Among all cancers, prostate cancer claims the second most lives in the male population of developed countries after lung cancer. Affected men are, on average, 65 years old and have good chances of recovery before metastases occur. However, the 5-year survival rate is reduced from almost 100% to only 30% after the formation of metastases [212]. Therefore, the search for effective and early-responding biomarkers is a highly urgent concern in molecular medicine.

Prostate cancer was the most frequently diagnosed cancer among US astronauts [169]. The incidence was elevated compared to the US general population [169]. This elevation may be due to detection bias generated by early and frequent screening in the astronauts.

The tragic end of the Columbia STS-107 mission on 1 February 2003, also destroyed much of the results of the first, and so far the only, cultivation of prostate cancer cells under real space conditions [213].

In the last three years, three publications described the response of the prostate carcinoma cell line PC-3 to gravitational changes (Table 9) [192,193,194]. PC-3, a prostatic small cell carcinoma model, is characterized by a high metastatic potential and lack of PSA expression [214].

By randomizing the gravity vector in the RPM and thereby generating s-µg, Hybel and co-workers examined the gene expression of 23 candidate genes by qPCR [192]. After three days of s-µg exposure, but especially after five days of s-µg exposure, significant changes in gene expression of VEGF-signaling, extracellular matrix (ECM), and focal adhesion could be detected. This expression profile differs between adherent cells and multicellular spheroids (MCS) (Figure 4). After five days of RPM exposure, moderate but significant expression increases in two investigated genes of the cytoskeleton ACTB and TUBB could be observed. Since the suppression of the VEGF expression is already established in cancer therapy, the study focused on VEGF-signaling genes. In particular, the increase in FLK1 and LCN2 expression after three days s-µg in adherent cells and MCS is striking. In adherent cells, the FLK1 expression increase is transient and drops again after five days s-µg. In MCS, the FLK1 and LCN2 expression increase coincides with the decreased VEGFA expression. Similar to FLK1, for the ECM gene COL4A5, the increase in expression in adherent cells levels off after five days of RPM.

Figure 4.

Figure 4

Microgravity-induced in vitro metastasis model. (A) µg exposure of adherent tumor cells causes downregulation of focal adhesion molecules. As a consequence, cells detach and form tumor spheroids resembling micrometastases. When gravity is restored, the spheroids reattach to their substrate. (B,C) Transmitted light microscopy images of spheroid development in PC-3 prostate tumor cells under s-µg (RPI). The graphical representation of cell adherence and spheroid formation is inspired by Grimm et al., 2022, Figure 5 [215].

Dietrichs and co-workers [193] used a similar setup as in the previous study by Hybel et al. [176]. However, on the one hand, the running periods of the RPM were significantly reduced (30 min to 24 h); on the other hand, the number of genes examined with qPCR was increased to 30, and the protein secretion was measured. Thus, the study focused on observing the early stages of the development of PC-3 spheroids. In the study, spheroid development is associated with a significant increase in the expression of the genes ACTB, MSN, COL1A1, LAMA3, FN1, TIMP1, FLT1, EGFR1, IL1A, IL6, CXCL8, and HIF1A after 24 h of RPM exposure. The gene expression and the protein secretion of interleukins are predominantly regulated during two to four hours of RPM exposure. The authors conclude that the cytokines IL-1α, IL-1β, IL-6, and IL-8 have a significant role in prostate cancer development [193].

Parabolic flight experiments are characterized by embedding a 22-s µg phase in two 20-s hypergravity phases (Table 1). In the study by Schulz and co-workers [194], PC-3 cells were subjected to these brief gravitational changes. The transcriptome-wide analysis of the data obtained by RNA sequencing revealed that, especially after the first parabola, cytokines, and here, in particular, chemokines, were differentially expressed. Besides chemokines of NF-κB signaling, the inflammatory cytokines TNF-α and LIF were highlighted to play a role in interaction with CXCL-8 in cancer development and the chemokines CXCL3 and CXCR2 in their role in cell migration. However, among the 298 differentially expressed genes, lncRNAs (23.9%) and miRNAs (2.5%) were also found. The genomically closely located miRNA miR221 and lncRNA MIR222HG are upregulated after the first parabola and play a role in cancer development and progression, respectively. Additionally, the lncRNA MIR3142HG is already upregulated after the first parabola. The role of MIR3142HG in cancer progression is currently controversial.

3.10.4. Gene Expression Changes of Lung Cancer Cells Exposed to Microgravity Conditions

Lung cancer remains the leading cause of cancer death, with an estimated 1.8 million deaths (18%), but breast cancer has surpassed lung cancer as the most commonly diagnosed cancer, with an estimated 2.3 million new cases (11.7%) [216]. US astronauts have a substantially lower incidence and mortality from lung cancer in comparison to the US general population, and the few cases that have been observed have been less lethal than expected [169].

Multiple effects of both r- and s-μg have also been observed in various lung cancer cell lines. For example, squamous non-small cell lung cancer cells (CRL-5889) exposed to s-μg using an RPM for 72 h showed increased spheroidal apoptosis and upregulation of TP53, CDKN2A, PTEN, SOX2, and RB1, while the expression of AKT3, PIK3CA, and NFE2L2 remained unchanged (Figure 5) [196]. After 24 h on a 3D RPM, the migration-related genes MMP-2, MMP-9, TIMP-1, and TIMP-2 were all upregulated both in a squamous (H1703) and in an adenocarcinoma (A549) cell line [195].

Figure 5.

Figure 5

The effects of a four-day RPM exposure on the human squamous non-small-cell lung cancer cell line CRL-5889 according to Dietz and co-workers [196] (AD). (A) The RPM exposure leads to partial detachment of cells from the bottom of the flask and after 24 h to first aggregations (spheroid formation) that further increase after 96 h. (D, black arrow). However, one part of the cells remains attached to the bottom of the bottle (D, adherent cells (AD), white arrow). These AD cells exhibit an upregulation of the PTEN, RB1, TP53, CDKN2A, and SOX2 gene expression, whose protein-to-protein interactions were shown by STRING analysis (B). In contrast under 1g on 2D cell culture plate the cells stay in a state of near confluence (C). These results are published in [196].

In addition, the transcription of coding RNA and miRNAs regulating genes associated with cell cycle regulation, apoptosis, and stress response were altered in their expression by s-μg in A549 cells [217].

In another study also performed on A549 and H1703 cells, the expressions of MMP-2, MMP-9, TIMP-1, and TIMP-2 were downregulated in both cell lines after 36 h of exposure to a 3D clinostat [218]. The effect was also observable but less pronounced after 12 h.

Lung cancer stem cells (derived from the H460 cell line) downregulate their expression of stemness genes NANOG and OCT-4 after 6 h of RPM exposure [219]. The effect was still present but less pronounced after 24 h.

A recent study from December 2022 demonstrated 13 DEGs associated with the prognosis of lung cancer in alveolar basal-epithelial (A549) cells exposed to a 2D clinostat for 24, 48, and 72 h (Table 9) [197]. A gene set enrichment analysis revealed that these DEGs are enriched in humoral immunity pathways. In parallel, a morphology change, a reduced proliferation rate together with an increased epithelial E-cadherin expression and decreased mesenchymal N-cadherin expression were found. An increased expression of FCGBP, BPIFB, F5, CST1, and CFB and their correlation to epithelial-to-mesenchymal transition (EMT) under clinorotation were detectable as potential tumor suppressor biomarkers [197].

Taken together, these results provide new options to establish new therapeutic strategies for lung cancer patients.

3.10.5. Cancer Cells of the Gastrointestinal Tract Exposed to Microgravity

This subchapter comprises studies with colorectal cancer cells, gastric cancer cells, and pancreas cancer cells cultured under both r-µg and s-µg conditions over the last five years.

Colorectal cancer (CRC) is the third most common malignancy and the second most deadly cancer. This cancer type was responsible for 1.9 million incidence cases and 0.9 million deaths worldwide in 2020 [220]. CRC cells have been one of the first cell types used in µg research [215], mainly for engineering 3D tissues or spheroids. However, in the last five years, no CRC cells have been studied in r-µg research on the ISS, and only one paper investigating the impact of s-µg on CRC cells with a focus on gene expression changes was found following an extensive search of the literature.

An interesting study focused on colon cancer incidence in astronauts, among others. In US astronauts (1959–2017), Reynolds et al. [169] investigated several relevant topics including cancer-specific mortality rates, cancer incidence rates, and cancer case-fatality ratios. In comparison with the US general population, colon cancer revealed a sizeable (but insignificant) decrease in incidence and mortality. A healthy lifestyle and differential screening can explain these trends towards reducing colon cancer among astronauts [169].

A RCCS-HARV was used to investigate the impact of s-µg on the viability and morphology of different CRC cell types [198]. Increased programmed cell death was detected in DLD1, HCT116, and SW620 cells. In addition, gene expression analysis of DLD1 cells revealed an upregulation of tumor suppressors PTEN and FOXO3, leading to AKT downregulation and further induction of apoptosis through the upregulation of CDK inhibitors CDKN2B and CDKN2D [198]. The detection of enhanced apoptosis in cancer cells grown under µg conditions was also reported earlier for other cancer cell types such as thyroid cancer, lung cancer, or breast cancer cells [196,221,222].

Worldwide, an estimated 1,089,103 patients were diagnosed with gastric cancer in 2020. A total of 768,793 (7.7%) died from gastric cancer in 2020. Stomach or gastric cancer is the fifth most commonly diagnosed cancer worldwide [216].

One recent publication (Table 9) focused on changes in drug resistance of gastric cancer cells (GCC) cultured under s-µg [199]. The human resistant and sensitive GCC (EPG85–257 RDB and EPG85–257 P) were exposed to an RCCS [199]. The authors showed that RCCS exposure, together with doxorubicin treatment, was cytotoxic to the GCC [199]. RCCS-exposed cells exhibited a reduced expression of genes related to drug resistance and increased DNA/RNA damage marker expression. Simulated µg conditions alter the expression of MDR genes in GGG, improve cell survival, and induce cytoskeletal changes to increase the susceptibility of GCC to chemotherapy. An interesting finding was that µg weakened the action of genes associated with drug resistance [199].

In the field of liver cancer, one paper using HepG2 cells in µg was published in 2019. The effects of s-µg using an RCCS on HepG2 and human biliary tree stem/progenitor cells (hBTSCs) were studied [200]. HepG2 cells are derived from a well-differentiated hepatocellular carcinoma. S-µg promoted 3D cultures in both cell types. A significant increase in stemness gene expression was observed in hBTSCs exposed to the RCCS. At the same time, the expression of hepatocyte lineage markers in hBTSCs was impaired by s-µg [200].

HepG2 was cultured in a hormonally defined medium under 1g and RCCS conditions. At 1g, HepG2 cells exhibited a low or no expression of OCT4 and SOX17, but significant upregulation of both genes was measured under s-µg. In addition, s-µg increased ALB gene expression in HepG2 cells. Furthermore, in HepG2 cells, s-µg induced a significantly lower transcription of CYP3A4, a marker of late-stage (i.e., Zone 3) hepatocytes.

RCCS exposure induced the formation of 3D cultures, stimulated pluripotency, and glycolytic metabolism in HepG2 and biliary tree stem/progenitor cells [200].

One paper studying the influence of long-term (1, 7, and 9 days) RPM exposure on pancreas cancer cells (PCC; PaCa-44 cell line) was published in 2022 [201]. Pancreatic ductal adenocarcinoma is one of the most severe tumors worldwide and represents the fourth–fifth cause of death. Therefore, novel strategies are necessary to increase our knowledge of this cancer type. The study comprised proteomic, lipidomic, and transcriptomic analyses. Under s-µg, the cells aggregate in 3D spheroidal structures. Cellular morphology is altered by the modulation of proteins involved in Cdc42 and RhoA signaling. This results in cytoskeletal changes, angiogenesis, and stemness. Furthermore, it is reported that a metabolic reprogramming orchestrated by the activation of HIF-1α and PI3K/Akt pathways, more active glycolysis compared to the adhesion condition, is involved in regulating proliferation, metastasis, and aggressiveness. These data indicate that the PCC exposed to the RPM differentiates toward a more aggressive metastatic stem-cell-like phenotype [201].

3.10.6. Gene Expression Changes of Skin Cancer Cells Exposed to Microgravity

Until today, µg research in the field of skin cancer has been performed on malignant melanoma cells. Skin cancer comprises non-melanoma cancer (basal cell carcinoma, squamous cell carcinoma, Bowen’s disease, and actinic keratoses) and malignant melanoma. Although the latter accounts for only 1% of all skin cancers, it is the most lethal form and is responsible for approximately 80% of all skin cancer deaths [223]. According to GLOBOCAN, 324,635 new cases occurred globally in 2020 (1.7%) [216]. Furthermore, melanoma metastasis is still a significant therapeutic challenge because of its poor response to chemotherapy.

Astronauts face cosmic radiation during their spaceflights, and thus it is vital to determine skin cancer incidence and mortality [169]. For melanomas, significant increases in incidence and mortality have been detected. The elevated incidence of melanoma is comparable to that observed in aircraft pilots. The authors concluded that this elevation might be associated with ultraviolet radiation or changes in lifestyle factors rather than any spaceflight exposure [169].

Ivanova et al. [202] studied the impact of clinorotation using a fast-rotating 2D clinostat on the gene expression of NOS isoforms, sGC, GC-A/GC-B, and multidrug resistance-associated proteins 4/5 (MRP4/MRP5) as selective cGMP exporters in human metastatic melanoma cells (highly metastatic and non-pigmented BLM melanoma cells) (Table 9). The endothelial NOS-sGCMRP4/MRP5 pathway was downregulated in s-µg compared to 1g. The suppression of sGC expression and activity correlates inversely to tumor aggressiveness. Furthermore, clinorotation reduced the expression of the cancer-related genes iNOS and GC-A/GC-B. The results suggest that future studies in r-µg can benefit from considering GC-cGMP signaling as a possible factor for melanocyte transformation [202].

As mentioned earlier, s-µg can promote programmed cell death in different cancer cell types [196,221,222]. RPM exposure of BL6-10 cells (highly lung-metastatic B16 melanoma cell line) inhibited cell proliferation/metastasis via the FAK/RhoA-regulated mTORC1 pathway. S-µg increased apoptosis, altered the cytoskeleton, reduced focal adhesions (FAs), and suppressed FAK/RhoA signaling. RPM exposure reduced the expression of the mTORC1-related raptor, pS6K, pEIF4E, pNF-κB, and pNF-κB-regulated Bcl2 [224]. Furthermore, s-µg inhibited the expression of nuclear envelope proteins (NEPs) lamin-A, emerin, sun1, and nesprin-3, which control nuclear positioning, and suppresses nuclear positioning-regulated pERK1/2 signaling. Therefore, the data demonstrate that s-µg induced apoptosis via suppressing the FAK/RhoA-regulated mTORC1/NF-κB and ERK1/2 pathways. This may propose the FAK/RhoA network as a novel target for designing new therapeutics for humans in space on a long-term mission [224]. A second paper from this group demonstrated that s-µg obstructs focal adhesions, leading to inhibition of FAK and RhoA signaling, and blockage of the mTORC1 pathway, which eventually results in activation of the AMPK pathway and reduced melanoma cell proliferation and metastasis [225].

Taken together, our knowledge of skin cancer in µg is based on studies focusing on malignant melanoma cells. However, over the last five years, only a few studies have been published focusing on melanoma cells cultured under microgravity conditions with a focus on altered gene expression. It was demonstrated that melanoma cells exposed to s-µg revealed an increase in apoptosis, alterations of the cytoskeletons, reduced focal adhesions, and the FAK/RhoA signaling pathway.

3.11. Recent Findings in Plants under Microgravity Conditions

Plants play a dual role in space biology as a part of bioregenerative life-support systems (BLSS) that enable prolonged habitation in space [226] and at the same time as model organisms to better understand basic plant physiology and improve crop yield on Earth [227]. Plants are currently investigated on different µg platforms. Figure 6 shows a sounding rocket and ISS experiment with Arabidopsis thaliana. The lack of ethical concerns and the apparent ease of using plants to conduct observations of complex regulatory and signaling networks in whole organisms make them appealing for research under different gravity conditions. However, plants are also highly susceptible to spaceflight’s many abiotic stresses, which requires careful experimental planning [228]. We discussed gravity-related molecular changes in plants in detail in our last review [229] and therefore want to dedicate the following short chapters to new insights gained under r-µg, the concomitant challenges of designing experiments in space, and promising methods.

Figure 6.

Figure 6

The model organism Arabidopsis thaliana is used in various microgravity research applications. (Left): 5-day-old seedlings in a fixation chamber moments before integration into a sounding rocket during the TEXUS 57 campaign (hardware designed by Airbus Defence and Space). (Right): Flowering Arabidopsis plants inside the Plant Habitat-01 in the European Columbus laboratory module aboard the ISS (image courtesy of NASA).

3.11.1. Growth and Development

Understanding the effect of µg and other space-related stressors on plant growth and development is a prerequisite for successfully establishing long-term BLSS for off-world colonization or extended space flights, especially regarding the timing of developmental stages and plant fitness across multiple generations.

Experiments on the Chinese space lab Tiangong-2 have shown that the flowering time of Arabidopsis thaliana (ecotype Columbia), germinated and grown in µg conditions, was delayed by 20 days compared to control plants on the ground. In Arabidopsis, flowering time is controlled by a circadian clock-dependent mechanism that integrates photoperiod and temperature information to induce the expression of FLOWERING LOCUS T (FT) in leaves, upon which it is transferred to the shoot apical meristem to promote flower formation together with SUPPRESSOR OF OVEREXPRESSION OF CO1 (SOC1), which is locally produced in response to FT accumulation. Using a camera-based observation of transgenic plants expressing GFP under the FT-promotor, a significant shift in the peak expression of FT was observed. The subsequent transcriptomic analysis identified a group of differentially expressed genes related to the flowering time that are interactors of FT and SOC1. Therefore, FT and SOC1 could integrate spaceflight-related stimuli into the pathways that regulate flowering [230]. However, in another experiment by the same group, plants uploaded to the space lab after they had already reached the rosette stage showed no such delay [231]. In contrast, growth experiments in the Japanese Kibo module on the ISS describe a mostly normal development of Arabidopsis under microgravity conditions [232]. Developmental studies in the past also support the notion of unhindered completion of the life cycle of Arabidopsis during spaceflight [233,234,235].

A study with the Arabidopsis ecotypes Columbia and Wassilewskija was conducted in the Vegetable Production System aboard the ISS to analyze root skewing behavior and transcriptomic differences between the two ecotypes and two mutants [236]. SPIRAL1 (SPR1) is a regulator of cortical microtubule dynamics and is involved in skewing behavior. The number of differentially regulated transcripts during spaceflight was significantly lower in the spr1 mutant than the Columbia wild type, indicating a more efficient adaptation response in the spr1 mutant. A sku5 mutant line, lacking the skewing-related lipid raft-associated protein SKU5, reacted to spaceflight with a 2–5x increase in the number of differentially regulated transcripts compared to its wild-type Wassilewskija background. Gene ontology enrichment identifies various environmental stress responses, including ABA and ROS signaling, among the most enriched categories [236], which were also found in other ecotypes [237]. While the spr1 mutant adapts more quickly to the spaceflight environment, the sku5 mutant expends more resources during the adaptation. SKU5 is involved in plasma membrane reorganization in response to stresses, which requires the activation of alternate pathways upon its loss.

The above findings do not show a clear consensus on the effect of spaceflight on plant development, and the limited information on cross-generational effects warrants further investigation of long-term plant viability during spaceflight. However, the importance of stress adaptation to spaceflight is made clear, and the next steps should involve identifying and characterizing specific stress-response regulators that react to spaceflight.

3.11.2. Cell Wall Reorganization

Cell wall remodelling is a crucial process of plant growth and, according to recent findings, seems to be highly affected by altered gravity conditions.

Reanalysis of transcriptomic datasets from Arabidopsis grown on the ISS using a novel combination of graph-theoretic tools to generate gene regulatory networks produced a candidate list of hub genes that have a regulatory impact on a large group of targets. Among these hub genes are members of the xyloglucan endo-trans glycosylase/hydrolases (XTHs) family, which are directly involved in cell wall remodelling, elongation growth, and even skewing behavior [238].

Arabidopsis seedlings subjected to fractional gravity in the European Modular Cultivation System (EMCS) on the ISS had around 100 differentially regulated transcripts that showed patterns matching the gravity gradient. The most enriched gene ontology categories were transcriptional regulation, heat stress response, and cell wall organization [239]. A similar study with the addition of a blue light stimulus also found an enrichment of cell wall and stress categories across the gravity gradient [240]. Transcriptomic studies on Arabidopsis seedlings in the Biological Research In Canisters (BRIC) hardware aboard the ISS show corresponding results. Peroxidases, likely to play a role in cell wall remodelling, were consistently downregulated in wild-type plants of different ecotypes [237]. Likewise, genes involved in various stress mitigation pathways, such as DNA repair, temperature, light, and oxidative stress, were enriched [237,241]. Thereby, heat shock proteins and factors were among the most prominently upregulated genes, even though the temperature was tightly controlled during the experiment, leading to the assumption that their role in other stress responses caused their induction [237].

Experiments with rice shoots in the Cell Biology Experiment Facility (CBEF) on the ISS could confirm a decrease in glucans, which are an integral part of the cell wall in various crops, in conjunction with the transcriptional upregulation of a glucanase, that breaks down the glucans in the cell wall under microgravity conditions [242]. In addition, regulation of cell wall reorganization was also confirmed in rice calli aboard the Chinese spacecraft Shenzhou-8 [243].

Cell wall stability maintained by pectin methylesterase (PME) is affected by microgravity, as shown in Arabidopsis seedlings under simulated microgravity and real microgravity conditions [244]. PME activity was decreased by clinostat-induced simulated microgravity, and transcriptional analysis identified AtPMEPCRA to be downregulated and, thus, a possible regulator of PME activity. Mutant atpmepcra seedlings grown on the SJ-10 recoverable satellite for 11 days had stunted leaf growth compared to their wild-type controls in microgravity, indicating a role of AtPMEPCRA in microgravity-induced growth effects. Interestingly, the adaptations acquired in microgravity carried over to the F1 generation that was grown on earth and manifested as changes in the DNA methylation pattern of the AtPMEPCRA locus. Even though this change was lost in the F2 generation [244], there have been repeated observations of changes in DNA methylation patterns following spaceflight in Arabidopsis and soybean [245,246,247,248].

Combined transcriptomic and proteomic analysis of three-day-old, etiolated Arabidopsis seedlings in the BRIC hardware on the ISS showed a telling regulation of cell wall-related processes. Proteins involved in xylose modification, such as the XTHs mentioned above, were upregulated, while transcripts belonging to the same category were downregulated [249]. Additionally, differential transcription of genes and phosphorylation of proteins involved in auxin transport (PIN, LAX) and response (IAA, ARF, TIR1-family) was observed, representing the primary gravitropic response of plants to modulate auxin distribution in the tissues. Differential phosphorylation of the plasma membrane ATPase AHA2 [249] supports the assumption that AHA2 is involved in cell elongation through acidification of the cell wall in response to an auxin stimulus [250].

3.11.3. Plastid Dysregulation

An uncoupled regulation of transcripts and proteins was also found in the plastids of plant cells. In ground control plants, less than 1 % of differentially regulated transcripts are of plastidic origin. However, when exposed to µg, the portion of differentially regulated transcripts of plastidic origin increases to 25 %. This shift was not apparent at the protein level, and, considering that many of the enriched categories are related to chloroplast metabolism and chlorophyll biosynthesis even though the plants were grown in darkness, indicate a dysregulation of plastid function [249]. Similar observations were made under the same dark conditions and with red and blue light stimuli [251,252]. Mitochondrial dysfunction under microgravity has been documented in humans [253] and drosophila [254] and, together with the recent findings in plant plastids, could suggest a conserved stress response to µg in organelles of endosymbiotic origin.

3.11.4. Post-Transcriptional and Translational Regulation

Multiple indications point to the importance of regulatory mechanisms in the microgravity response of plants. Inverse relationships between transcript-protein abundances under µg suggest a post-transcriptional or translational regulation of the affected genes [249]. Upregulation of RNA decapping protein 5 (DCP5) and RNA silencing protein ARGONAUTE 4 (AGO4) could represent higher RNA turnover and siRNA-mediated gene silencing when exposed to µg [249]. Differential phosphorylation of RNA splicing proteins and transcript isoform abundance analysis shows a direct influence of microgravity on alternative RNA splicing mechanisms [249,255]. In the same dataset, protein degradation pathways are enriched on the transcript level under µg [249].

These findings clearly show the effect of spaceflight across many levels of regulation and demonstrate that a multi-omics approach can yield more reliable data, as is already the standard in other plant fields [256]. Translatomic analyses should address the discrepancy between transcriptomic and proteomic data. A third of all transcripts in Arabidopsis possess at least one upstream open reading frame (uORF), entailing a vast potential for translational regulation [257]. Translational regulation by uORFs is controlled, at least in part, by the target of rapamycin (TOR)-mediated phosphorylation of initiation factors, facilitating or hindering re-initiation at downstream main ORFs [258], which was shown to be triggered by µg conditions [249].

3.11.5. Experimental Setup and Controls

Studies showing effects allegedly caused by µg may be attributed to the peculiar environment of spaceflight, laden with abiotic stressors such as radiation, vibration, temperature differences, and lack of convection which can induce a variety of artefacts unrelated to µg; these are concisely summarized in [259]. Conducting experiments in space is an incredibly challenging endeavor, and past experiments were, rightfully, critiqued for poor control conditions [229]. Fortunately, some recent space experiments could use centrifuges in their setups to have a proper onboard 1g control, such as in the EMCS and CBEF. Other approaches include documenting the environmental conditions during the experiment in space and recreating them on the ground during the control run, neglecting impactful stressors such as cosmic radiation and the harsh conditions during sample upload and retrieval. For future planning, it is essential to implement 1g onboard controls, ground controls, and ground-based simulated µg controls to ensure the reliability and trustworthiness of the acquired data [260]. A noteworthy strategy is measuring the effect of the hardware and procedures on the organism and considering these effects when assessing data obtained during spaceflight [249].

The most important publication focusing on gene regulation changes in plants exposed to microgravity are shown in Table 10.

Table 10.

Gene expression changes in various plant organisms in response to spaceflight. Use of in-flight controls (FC) or ground-based controls (GC) is indicated.

Organism Gene Regulation Tissue Microgravity Reference
Arabidopsis thaliana
(Col-0)
Upregulated:
DNA replication, DNA repair, far red/red light response, photosynthesis, secondary metabolite biosynthesis
Downregulated:
Abscisic acid, response to stress, amino acid catabolism, sucrose starvation, absence of light, ribosome biogenesis, translation
Notes: Unfolded protein response seems to play a minor role in spaceflight adaptation.
Whole seedlings, 14 days old BRIC hardware on the ISS,
14 days of µg.
(GC)
[241]
Arabidopsis thaliana
(Col-0 and Ws-0)
Differential alternative splicing in response to spaceflight in 48 genes in Ws-0 and 27 genes in Col-0. Roots, 4 and 8 days old VEGGIE system on the ISS,
up to 8 days of µg.
(GC)
[255]
Arabidopsis thaliana
(Col-0 and Ws-0)
Col-0 vs. spr1:
Less DEGs in spr1 than in Col-0 WT during spaceflight.
Enriched categories:
Response to salicylic acid, carbon fixation, RuBisCo genes, apoplast-localized genes
Ws-0 vs. sku5:
2–5 times more DEGs in sku5 than in Ws-0 WT during spaceflight
Enriched categories:
Abscisic acid signaling, response to stress, seed development, post-embryonic development
Roots, 4 and 8 days old VEGGIE system on the ISS,
up to 8 days of µg.
(GC)
[236]
Arabidopsis thaliana
(Col-0, Ler-0, Ws-2, Cvi-0)
Upregulation across all ecotypes:
HSP101, HSP70, HSP23.5, HSP81.1, AT2G32120.2
Downregulation across all ecotypes:
AT5G44417.1, RCI3, AT1G64370.1, AtPrx22
Notes:
Enrichment of
21 upregulated heat shock protein/factor transcripts and 14 downregulated peroxidase transcripts across some but not all ecotypes show characteristics of oxidative stress.
Whole seedlings, 8 days old BRIC hardware on the ISS,
8 days of µg.
(GC)
[237]
Arabidopsis thaliana
(Ler-0)
Enriched GO categories per g-level:
µg—response to light, photosynthesis
0.1g—response to stress, chemicals
0.3g—cell wall, membrane, plastid
Decrease in DEGs with higher g-levels
Changes in expression along the g-gradient:
Mitochondria, plastid, cell wall, and cell membrane-related processes. F-box/RMI-like/FDB-like domain family genes (AT5G44980, AT5G56370, AT5G56380, AT5G42460)
Notes:
Highest number of DEGs in 0.1 g condition with mostly stress-related pathways. Authors suggest competition of weak phototropism with weak gravitropism leading to stress.
Whole seedlings, 6 days old EMCS hardware on the ISS,
6 days of µg, 0.1g, 0.3g, 0.5g, 0.8g, and 1g.
Blue light stimulus for the last 48 h.
(FC)
[240]
Arabidopsis thaliana
(Col-0)
Enriched categories:
Cell wall organization (transcripts downregulated, proteins upregulated)
Redox homeostasis and ROS signaling (increased transcript regulation, no protein regulation)
Protein degradation (only transcripts)
Auxin-related genes (PIN, LAX, IAA, ARF, TIR1-family)
Post-transcriptional regulation (upregulation of DCP5 and AGO4)
Plastid translation, import to stroma, targeting to chloroplast, plastid organization, chlorophyll biosynthetic process (only transcripts)
Notes: Large discrepancy between transcript changes and protein changes in plastids, suggesting plastid dysregulation under µg.
Whole seedlings, 3 days old BRIC hardware on the ISS,
3 days of µg.
(GC)
[249]
Arabidopsis thaliana
(Col-0 and Ws-0)
Network analysis reveals 5 strongly regulated hub genes of the cell wall-modifying XTH-family. Whole seedlings and root tips, 11–12 days old ABRS hardware on the ISS,
up to 12 days of µg.
(GC)
[238]
Arabidopsis thaliana
(Col-0)
Identification of 101 genes with dosage-dependent response to g-level.
Enriched categories:
Transcription factors (20 genes)
Chaperones (9 genes)
Defense response (12 genes)
Cell wall associated (16 genes)
Root development (8 genes)
Auxin-related (3 genes)
Roots, 5 days old EMCS hardware on the ISS,
5 days of µg, 0.53g, 0.65g, and 0.88g.
(FC)
[239]
Arabidopsis thaliana
(Ler-0)
Upregulated categories:
Ribosome synthesis
Oxidative phosphorylation
Downregulated categories:
Photosynthesis/antenna proteins
Porphyrin and chlorophyll metabolism
Protein processing in ER
Starch and sucrose metabolism
Carotenoid biosynthesis
Whole seedlings, 6 days old EMCS hardware on the ISS,
6 days of µg and 1g.
Blue light stimulus for the last 48 h.
(FC)
[251]
Arabidopsis thaliana
(Ler-0)
Enriched categories and pathways:
Transcription factors (WRKY, ERF, NAC, MYB)
Plastidic transcription (enriched only in µg)
Auxin (GH3 and SAUR genes, activated in µg, inhibited at 0.3g + darkness)
Cytokinins (activated in µg, inhibited at 0.3g)
ABA (activated in all conditions except µg + darkness)
Brassinosteroid (inhibited by upregulation of BRI1 suppressor 1)
Jasmonic acid (upregulation of repressors)
Notes:
Hormone pathways are more affected by g-level than light conditions.
At 0.3g, red light can reverse auxin pathway inhibition.
Stress-related pathways are more activated at 0.3g than in µg.
Whole seedlings, 6 days old EMCS hardware on the ISS,
6 days of µg and 0.3g.
Red light or darkness for the last 48 h.
(GC)
[252]
Arabidopsis thaliana
(Col-0)
Upregulated categories:
Metabolic process, response to stress, temperature and wounding, protein stabilization
Downregulated categories:
Response to stimulus, reproductive developmental process, regulation of the metabolic process, circadian rhythm, gibberellins, mRNA processes
Notes:
Flowering genes (53) were mostly downregulated under µg, affecting the flowering hub genes FT and SOC1.
Delay of flowering time in µg by 20 days.
Rosette leaves, 48 days old Plant culture box hardware on the Chinese spacelab TG-2,
48 days of µg.
(GC)
[230]
Arabidopsis thaliana
(Col-0)
Altered gene methylation in DNA methylation-associated genes, cell-wall modification genes, hormone signaling-related genes and transposable elements.
Induction of transposable elements by unstable methylations in response to spaceflight.
Whole seedlings,
8.5 days old
Cultivation units on the recoverable satellite SJ-10,
60 h of µg after 6 days of pre-culturing on the ground.
(GC)
[247]
Arabidopsis thaliana
(Col-0)
Altered gene methylation and expression in the first offspring generation after spaceflight in the abscisic acid-activated pathway, protein phosphorylation, and nitrate signaling pathway.
Partial retention of phenotypic differences and differentially methylated regions in the following generation.
Notes:
Could not confirm methylation changes in parent generation from previous study.
Whole seedlings, 11 days old, multiple generations Cultivation units on the recoverable satellite SJ-10,
11 days of µg after 6 days of pre-culturing on the ground.
(GC)
[246]
Arabidopsis thaliana
(Col-0)
Altered gene methylation and expression of pectin methylesterase regulator gene AtPMEPCRA in parent and offspring generation after spaceflight. Whole seedlings, 11 days old, multiple generations Cultivation units on the recoverable satellite SJ-10,
11 days of µg after 6 days of pre-culturing on the ground.
(GC)
[244]
Arabidopsis thaliana
(Ws-0)
Portion of differentially expressed genes, that are also differentially methylated:
Leaves: 143 of 743
Roots: 21 of 75
Increased methylation in CHG and CHH contexts in leaves during spaceflight.
Notes:
Nearly half of all differentially expressed genes in leaves were reactive oxygen signaling-related.
Leaves and roots, 11 days old VEGGIE system on the ISS,
11 days of µg.
(GC)
[245]
Oryza sativa Differential regulation of 8 cell-wall-related transcripts and 3 aquaporins. Calli, 17.5 days old SIMBOX hardware on the Shenzhou 8,
324 h of µg and 1g.
(FC + GC)
[243]
Oryza sativa
(Koshihikari)
Upregulation of endo-1,3:1,3-β-glucanase (OsEGL1) under µg, leading to a reduced 1,3:1,3-β-glucan content in the cell wall. Shoots, 4–5 days old CBEF hardware on the ISS,
99 h, 127 h and 136 h of µg and 1g.
(FC)
[242]
Glycine max (T75 and Z9) Increased activity of transposable elements and genomic plasticity after space mutation.
Enriched gene categories affected by genomic restructuring:
Stress response and stimulus—278 genes
Cell wall-related—27 genes
Auxin metabolism and transport—26 genes
General signal transduction—77 genes
Leaves, 15 days old, 6 years of breeding after space mutation Space mutation for 15 days of µg aboard recoverable satellite Shijian 8.
(GC)
[248]

Abbreviations: Biological research in canisters (BRIC); Cape Verde Islands (Cvi); Columbia (Col); differentially expressed genes (DEGs); European modular cultivation system (EMCS); flight control (FC); gene ontology (GO); ground control (GC); Landsberg erecta (Ler); Taiwan 75 (T75); science in microgravity box (SIMBOX); vegetable production system (VEGGIE); Wassilewskija (Ws); Zhexian 9 (Z9).

4. Conclusions

There are new insights into the effects of µg and spaceflight on prokaryotic and eukaryotic organisms, plants, and mammals, including rodents and humans. Space travelers face an increased risk of infection. Bacterial proliferation, biofilm formation, and expression of virulence genes in bacteria are enhanced, while the human immune system, on the other hand, is compromised in space. Studies also revealed significant differences in the immune response of human cells infected with Salmonella typhimurium in space or on Earth. The observed dysregulation of the immune system shifts the normal balanced gut microbiome towards a diseased gut biome, possibly due to cellular stress.

The complex interaction of organisms other than bacteria, such as archaea, viruses, and fungi, within the gut, plays a crucial role in the health and well-being of space travelers. However, whether µg affects this intricate interplay needs to be further investigated. Increased virulence and improved antibiotic resistance of some pathogenic bacteria have been identified during µg conditions. Other studies reported the reduced virulence of other bacteria strains. An explanation for discourse may be epigenetic changes introduced by either µg or the space environment.

Furthermore, Caenorhabditis elegans studies indicated that certain genes are epigenetically suppressed, thereby supporting previous findings showing the downregulation of genes related to longevity and metabolism. Importantly, and maybe also interesting in relation to the intestinal system of humans, exposure of Caenorhabditis elegans to s-µg induces oxidative stress damage and adaptation of insulin signaling pathways in the intestine.

A growing body of data has been collected from experiments performed on the retina from humans and mice exposed to µg. In mice launched to the ISS, induction of apoptosis in the retina, especially in vascular endothelial cells, seems to be a repeating finding. Substantial evidence also points to the fact that the space environment triggers oxidative damage in the retina and reduces the thickness of multiple retina layers. In addition, genes associated with diabetic retinopathy were differentially expressed in the retina of mice flown on the ISS. Taken together, spaceflight seems to triggers epigenetic and transcriptomic reprogramming in the eye, affecting inflammation, oxidative stress, angiogenesis and macular degeneration. Finally, novel findings have investigated the involvement of cytoskeletal remodelling in ARPE-19 cells subjected to µg and pinpointed vimentin as an essential player in this process [99], thereby further reconfirming the pathogenesis underlying SANS

Microvascular EC exposed to µg exhibited substantial deregulated genes resulting in activating pathways for metabolism and pro-proliferative phenotype. TXNIP, encoding a major regulator of cellular redox signaling, which protects cells from oxidative stress, was found to be the most upregulated gene in EC following spaceflight. Deregulated miRNAs suggested that HUVECs exposed to s-µg may be protected from apoptosis. However, parallel studies found a decreased expression of anti-apoptotic BCL2. µg alters the expression of miRNAs and the interactome of miRNAs suggesting that µg influences proliferation and vascular function of ECs. Finally, a number of genes were differentially regulated in adherent and spheroid populations, suggesting that µg may be the primary cause for ECs’ 3D aggregation.

Chondrocytes exhibited several differentially expressed genes, suggesting that unloading influences phenotype maintenance, HIF signaling, and VEGF signaling. Some of the genes were regulated in opposite directions, probably reflecting sample differences. It seems that many genes were altered in a sex-dependent manner, thereby providing ideas for possible targets for osteoarthritis.

Several mouse-based studies investigating the impact of r-µg on muscle tissue demonstrated (i) that many genes were differentially expressed in various muscle tissues, (ii) that alternative splicing occurs in the muscle transcriptomic response to µg, and (iii) that the affected biological processes may provide targets for the treatment and the development of countermeasures and post-flight rehabilitation.

As in the case of cartilage and muscle, exposure to r-µg changed the expression pattern of several genes in bone. The results showed a strong association with various important processes, including osteoporosis, bone resorption, and bone development. In addition, reduced gravity inhibits cell proliferation and differentiation. The expression of circRNAs was differentially expressed in s-µg, resulting in the altered regulation of the actin cytoskeleton, focal adhesion, and osteogenic differentiation.

Real microgravity and s-µg altered the growth behavior of human cancer cells. Various authors demonstrated a change in the phenotype of the cancer cells exposed to µg. One part of the cells cultured on µg-simulating devices continued growing adherently, and the other detached and formed organoids or multicellular spheroids (Table 9). Studies focusing on the underlying mechanisms for spheroid formation can improve our understanding of in vivo cancer progression, EMT, and metastasis [215]. Moreover, common results comprise alterations in the gene regulation of factors of the cytoskeleton, integrins, extracellular matrix, focal adhesions, cell adhesion, apoptosis, survival, migration, differentiation, and growth.

Finally, the identification of master regulators in the µg response and characterization of genes affecting the development of plants are essential steps to broaden our understanding of plant behavior on Earth and improve their fitness for space applications. Cell wall remodelling and plastid metabolism emerge as highly affected processes and, given their crucial role in plant health and growth, make for excellent targets for further investigations. The newly discovered potential for post-transcriptional and translational regulation during spaceflight is demonstrated by the few but repeated discrepancies between transcriptomic and proteomic data. Importantly, multi-omics approaches are the tool of choice to discover the effects of spaceflight on translation.

We live in the age of space exploration. As a result, we receive new information to increase our current knowledge of the cosmos. Research on the ISS, the new Chinese Space Station, in outer space (Moon and Mars), in extreme environments, and simulation experiments of µg together with new molecular biological methods such as OMICs, can define the space traveler’s health risks and contribute to health protection and to develop adequate countermeasures. These data obtained during spaceflights can support translational medicine on Earth.

Acknowledgments

We sincerely thank Armin Kraus, Otto von Guericke University Magdeburg for his extraordinary help with the cancer chapter and for providing Figure 5.

Author Contributions

Conceptualization, T.J.C. and D.G.; methodology, M.W.; software, P.M.W.; validation, D.G., T.J.C., M.B. and M.W.; resources, M.I., G.S.E. and M.L.; data curation, P.M.W., T.J.C., M.B., D.G. and M.W.; writing—original draft preparation, T.J.C., D.G., S.M.S., P.R., M.W., M.K., H.S., D.A.R., M.B., P.M.W. and G.S.E.; writing—review and editing, D.G., T.J.C. and M.B.; visualization, H.S., D.A.R., P.R. and S.M.S.; supervision, M.I., G.S.E., M.L. and D.G.; project administration, D.G.; funding acquisition, D.G., M.B., M.I. and M.L. All authors have read and agreed to the published version of the manuscript.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

Funding Statement

This study was funded by the German Space Agency (DLR, Deutsches Zentrum für Luft- und Raumfahrt), BMWK projects 50WB2219 (D.G.), 50WK2270G (D.G.), 50WB1923 (M.L.), 50WB2130 (M.B.), and 50WK2270H (M.B.).

Footnotes

Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

References

  • 1.Moroni L., Tabury K., Stenuit H., Grimm D., Baatout S., Mironov V. What can biofabrication do for space and what can space do for biofabrication? Trends Biotechnol. 2022;40:398–411. doi: 10.1016/j.tibtech.2021.08.008. [DOI] [PubMed] [Google Scholar]
  • 2.White R.J., Averner M. Humans in space. Nature. 2001;409:1115–1118. doi: 10.1038/35059243. [DOI] [PubMed] [Google Scholar]
  • 3.Blaber E., Marçal H., Burns B.P. Bioastronautics: The influence of microgravity on astronaut health. Astrobiology. 2010;10:463–473. doi: 10.1089/ast.2009.0415. [DOI] [PubMed] [Google Scholar]
  • 4.Baran R., Marchal S., Garcia Campos S., Rehnberg E., Tabury K., Baselet B., Wehland M., Grimm D., Baatout S. The cardiovascular system in space: Focus on in vivo and in vitro studies. Biomedicines. 2021;10:59. doi: 10.3390/biomedicines10010059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Russomano T., da Rosa M., Dos Santos M.A. Space motion sickness: A common neurovestibular dysfunction in microgravity. Neurol. India. 2019;67:S214–S218. doi: 10.4103/0028-3886.259127. [DOI] [PubMed] [Google Scholar]
  • 6.Nelson E.S., Mulugeta L., Myers J.G. Microgravity-induced fluid shift and ophthalmic changes. Life. 2014;4:621–665. doi: 10.3390/life4040621. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Penchev R., Scheuring R.A., Soto A.T., Miletich D.M., Kerstman E., Cohen S.P. Back pain in outer space. Anesthesiology. 2021;135:384–395. doi: 10.1097/ALN.0000000000003812. [DOI] [PubMed] [Google Scholar]
  • 8.Baran R., Wehland M., Schulz H., Heer M., Infanger M., Grimm D. Microgravity-related changes in bone density and treatment options: A systematic review. Int. J. Mol. Sci. 2022;23:8650. doi: 10.3390/ijms23158650. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Riwaldt S., Corydon T.J., Pantalone D., Sahana J., Wise P., Wehland M., Krüger M., Melnik D., Kopp S., Infanger M., et al. Role of apoptosis in wound healing and apoptosis alterations in microgravity. Front. Bioeng. Biotechnol. 2021;9:679650. doi: 10.3389/fbioe.2021.679650. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Schulz H., Strauch S.M., Richter P., Wehland M., Krüger M., Sahana J., Corydon T.J., Wise P., Baran R., Lebert M., et al. Latest knowledge about changes in the proteome in microgravity. Expert Rev. Proteom. 2022;19:43–59. doi: 10.1080/14789450.2022.2030711. [DOI] [PubMed] [Google Scholar]
  • 11.Krüger J., Richter P., Stoltze J., Strauch S.M., Krüger M., Daiker V., Prasad B., Sonnewald S., Reid S., Lebert M. Changes of gene expression in euglena gracilis obtained during the 29(th) dlr parabolic flight campaign. Sci. Rep. 2019;9:14260. doi: 10.1038/s41598-019-50611-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Ma X., Pietsch J., Wehland M., Schulz H., Saar K., Hübner N., Bauer J., Braun M., Schwarzwälder A., Segerer J., et al. Differential gene expression profile and altered cytokine secretion of thyroid cancer cells in space. FASEB J. 2014;28:813–835. doi: 10.1096/fj.13-243287. [DOI] [PubMed] [Google Scholar]
  • 13.Ma X., Wehland M., Schulz H., Saar K., Hübner N., Infanger M., Bauer J., Grimm D. Genomic approach to identify factors that drive the formation of three-dimensional structures by ea.Hy926 endothelial cells. PLoS ONE. 2013;8:e64402. doi: 10.1371/journal.pone.0064402. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Corydon T.J., Mann V., Slumstrup L., Kopp S., Sahana J., Askou A.L., Magnusson N.E., Echegoyen D., Bek T., Sundaresan A., et al. Reduced expression of cytoskeletal and extracellular matrix genes in human adult retinal pigment epithelium cells exposed to simulated microgravity. Cell. Physiol. Biochem. 2016;40:1–17. doi: 10.1159/000452520. [DOI] [PubMed] [Google Scholar]
  • 15.Berrios D.C., Galazka J., Grigorev K., Gebre S., Costes S.V. Nasa genelab: Interfaces for the exploration of space omics data. Nucleic Acids Res. 2021;49:D1515–D1522. doi: 10.1093/nar/gkaa887. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Pletser V., Migeotte P.F., Legros J.C., Deneyer B., Caron R. The suborbital research association: Using suborbital platforms for scientific and student experiments. Microgravity Sci. Technol. 2016;28:529–544. doi: 10.1007/s12217-016-9502-0. [DOI] [Google Scholar]
  • 17.von Kampen P., Kaczmarczik U., Rath H.J. The new drop tower catapult system. Acta Astronaut. 2006;59:278–283. doi: 10.1016/j.actaastro.2006.02.041. [DOI] [Google Scholar]
  • 18.Selig H., Dittus H., Lämmerzahl C. Drop tower microgravity improvement towards the nano-g level for the microscope payload tests. Microgravity Sci. Technol. 2010;22:539–549. doi: 10.1007/s12217-010-9210-0. [DOI] [Google Scholar]
  • 19.Thompson D.M. Zero Gravity Research Facility User’s Guide. [(accessed on 14 November 2022)]; Available online: https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20000017932.pdf.
  • 20.Bliumentalis D. Zero Gravity Research Facility. [(accessed on 10 December 2022)]; Available online: https://www1.grc.nasa.gov/facilities/zero-g/
  • 21.Lotz C., Froböse T., Wanner A., Overmeyer L., Ertmer W. Einstein-elevator: A new facility for research from μ to 5. Gravit. Space Res. 2017;5:11–27. doi: 10.2478/gsr-2017-0007. [DOI] [Google Scholar]
  • 22.Sabbatini M. Parabolic Flights. [(accessed on 15 December 2022)]. Available online: http://wsn.spaceflight.esa.int/docs/EUG2LGPr3/EUG2LGPr3-5-ParabolicFlights.pdf.
  • 23.Sabbatini M. Sounding Rockets. [(accessed on 15 December 2022)]. Available online: http://wsn.spaceflight.esa.int/docs/EUG2LGPr3/EUG2LGPr3-6-SoundingRockets.pdf.
  • 24.Wagner E.B. Research flights on blue origin’s new shepard. Gravit. Space Res. 2021;9:62–67. doi: 10.2478/gsr-2021-0005. [DOI] [Google Scholar]
  • 25.Kirschnick U., Agricola H., Horn E. Effects of altered gravity on identified peptidergic neurons of the cricket Acheta Domesticus. Gravit. Space Res. 2006;19:135–136. [Google Scholar]
  • 26.Colucci S., Colaianni G., Brunetti G., Ferranti F., Mascetti G., Mori G., Grano M. Irisin prevents microgravity-induced impairment of osteoblast differentiation in vitro during the space flight crs-14 mission. FASEB J. 2020;34:10096–10106. doi: 10.1096/fj.202000216R. [DOI] [PubMed] [Google Scholar]
  • 27.Ceglia E. European Users Guide to Low Gravity Platforms. Volume 1. Erasmus User Center and Communication Office, ESA; Noordwijk, The Netherlands: 2005. p. 21. [Google Scholar]
  • 28.Hu W., Kang Q., Duan E., Long M. SJ-10 Recoverable Satellite for Space Microgravity Experiments. Chin. J. Space Sci. 2020;40:648–654. doi: 10.11728/cjss2020.05.646. [DOI] [Google Scholar]
  • 29.Eigenbrod C., Könemann T., Kaczmarczik U. Drop Tower Bremen—User’s Guide. [(accessed on 16 November 2022)]. Available online: https://www.zarm.uni-bremen.de/fileadmin/user_upload/drop_tower/Users_Manual_0412.pdf.
  • 30.Luo L., Zhou H., Sun Y., Zhang W., Chen T., Chen S., Wen Y., Xu S., Yu S., Liu Y.C. Tsinghua university freefall facility (tuff): A 2.2 second drop tunnel for microgravity research. Microgravity Sci. Technol. 2021;33:26. doi: 10.1007/s12217-021-09877-5. [DOI] [Google Scholar]
  • 31.Nikhil V.V., Nair A., Niketh P., Kumar A., Muruganandam M.N. The 2.5 s microgravity drop tower at national centre for combustion research and development (nccrd), indian institute of technology madras. Microgravity Sci. Technol. 2018;30:663–673. doi: 10.1007/s12217-018-9639-0. [DOI] [Google Scholar]
  • 32.Zhang J., Dong W., Wang Z., Zhang Y., Zhang X., Cai Z., Ma W., Li Y., Li X., Cui X. Development of a new microgravity experiment facility with electromagnetic launch. Microgravity Sci. Technol. 2021;33:68. doi: 10.1007/s12217-021-09915-2. [DOI] [Google Scholar]
  • 33.Pletser V., Rouquette S., Friedrich U., Clervoy J.-F., Gharib T., Gai F., Mora C. The first european parabolic flight campaign with the airbus a310 zero-g. Microgravity Sci. Technol. 2016;28:587–601. doi: 10.1007/s12217-016-9515-8. [DOI] [Google Scholar]
  • 34.TASS Russia Starts Work on Bion-m Biosatellite to Deliver Mice into Outer Space. [(accessed on 18 June 2021)]. Available online: https://tass.com/science/1259627.
  • 35.Poghosyan A., Golkar A. Cubesat evolution: Analyzing cubesat capabilities for conducting science missions. Prog. Aerosp. Sci. 2017;88:59–83. doi: 10.1016/j.paerosci.2016.11.002. [DOI] [Google Scholar]
  • 36.Padgen M.R., Liddell L.C., Bhardwaj S.R., Gentry D., Marina D., Parra M., Boone T., Tan M., Ellingson L., Rademacher A., et al. Biosentinel: A biofluidic nanosatellite monitoring microbial growth and activity in deep space. Astrobiology. 2021 doi: 10.1089/ast.2020.2305. online ahead of print . [DOI] [PubMed] [Google Scholar]
  • 37.Massaro Tieze S., Liddell L.C., Santa Maria S.R., Bhattacharya S. Biosentinel: A biological cubesat for deep space exploration. Astrobiology. 2020 doi: 10.1089/ast.2019.2068. online ahead of print . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Thirsk R., Kuipers A., Mukai C., Williams D. The space-flight environment: The International Space Station and beyond. CMAJ. 2009;180:1216–1220. doi: 10.1503/cmaj.081125. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Shiba D., Mizuno H., Yumoto A., Shimomura M., Kobayashi H., Morita H., Shimbo M., Hamada M., Kudo T., Shinohara M., et al. Development of new experimental platform ‘mars’—Multiple artificial-gravity research system—To elucidate the impacts of micro/partial gravity on mice. Sci. Rep. 2017;7:10837. doi: 10.1038/s41598-017-10998-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.United Nations Office for Outer Space Affairs Selected Experiment Projects to Be Executed on Board the css for the 1st Cycle. [(accessed on 17 June 2021)]. Available online: http://www.unoosa.org/documents/doc/psa/hsti/CSS_1stAO/1stAO_FinSelResults.pdf.
  • 41.Wuest S.L., Richard S., Kopp S., Grimm D., Egli M. Simulated microgravity: Critical review on the use of random positioning machines for mammalian cell culture. BioMed Res. Int. 2015;2015:971474. doi: 10.1155/2015/971474. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Herranz R., Anken R., Boonstra J., Braun M., Christianen P.C.M., de Geest M., Hauslage J., Hilbig R., Hill R.J.A., Lebert M., et al. Ground-based facilities for simulation of microgravity: Organism-specific recommendations for their use, and recommended terminology. Astrobiology. 2013;13:1–17. doi: 10.1089/ast.2012.0876. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Dedolph R.R., Dipert M.H. The physical basis of gravity stimulus nullification by clinostat rotation 1. Plant Physiol. 1971;47:756–764. doi: 10.1104/pp.47.6.756. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Sabbatini M. Ground Based Facilities. [(accessed on 15 December 2022)]. Available online: http://wsn.spaceflight.esa.int/docs/EUG2LGPr3/EUG2LGPr3-3-GroundBased.pdf.
  • 45.Schwarz R.P., Goodwin T.J., Wolf D.A. Cell culture for three-dimensional modeling in rotating-wall vessels: An application of simulated microgravity. J. Tissue Cult. Methods. 1992;14:51–57. doi: 10.1007/BF01404744. [DOI] [PubMed] [Google Scholar]
  • 46.Acres J.M., Youngapelian M.J., Nadeau J. The influence of spaceflight and simulated microgravity on bacterial motility and chemotaxis. NPJ Microgravity. 2021;7:7. doi: 10.1038/s41526-021-00135-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Duscher A.A., Conesa A., Bishop M., Vroom M.M., Zubizarreta S.D., Foster J.S. Transcriptional profiling of the mutualistic bacterium vibrio fischeri and an hfq mutant under modeled microgravity. NPJ Microgravity. 2018;4:25. doi: 10.1038/s41526-018-0060-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Topolski C., Divo E., Li X., Hicks J., Chavez A., Castillo H. Phenotypic and transcriptional changes in escherichia coli k12 in response to simulated microgravity on the eaglestat, a new 2d microgravity analog for bacterial studies. Life Sci. Space Res. 2022;34:1–8. doi: 10.1016/j.lssr.2022.04.003. [DOI] [PubMed] [Google Scholar]
  • 49.Kalichamy S.S. A simple protocol to analyze the effects of simulated microgravity on nematodes. Biol. Bull. Russ. Acad. Sci. 2021;48:S22–S33. doi: 10.1134/S1062359021150097. [DOI] [Google Scholar]
  • 50.Anil-Inevi M., Yilmaz E., Sarigil O., Tekin H.C., Ozcivici E. Single cell densitometry and weightlessness culture of mesenchymal stem cells using magnetic levitation. In: Turksen K., editor. Stem Cell Nanotechnology: Methods and Protocols. Springer; New York, NY, USA: 2020. pp. 15–25. [DOI] [PubMed] [Google Scholar]
  • 51.Herranz R., Larkin O.J., Dijkstra C.E., Hill R.J.A., Anthony P., Davey M.R., Eaves L., van Loon J.J.W.A., Medina F.J., Marco R. Microgravity simulation by diamagnetic levitation: Effects of a strong gradient magnetic field on the transcriptional profile of drosophila melanogaster. BMC Genom. 2012;13:52. doi: 10.1186/1471-2164-13-52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Bruhaug G.B.L. Diamagnetic Levitation Using High-Temperature Superconducting Wires for Microgravity Research and Mitigation in Human Spaceflight Applications. [(accessed on 20 December 2022)]. Available online: http://arxiv.org/pdf/2004.09683v1.
  • 53.Globus R.K., Morey-Holton E. Hindlimb unloading: Rodent analog for microgravity. J. Appl. Physiol. 2016;120:1196–1206. doi: 10.1152/japplphysiol.00997.2015. [DOI] [PubMed] [Google Scholar]
  • 54.Pavy-Le Traon A., Heer M., Narici M.V., Rittweger J., Vernikos J. From space to earth: Advances in human physiology from 20 years of bed rest studies (1986–2006) Eur. J. Appl. Physiol. 2007;101:143–194. doi: 10.1007/s00421-007-0474-z. [DOI] [PubMed] [Google Scholar]
  • 55.Siddiqui R., Qaisar R., Goswami N., Khan N.A., Elmoselhi A. Effect of microgravity environment on gut microbiome and angiogenesis. Life. 2021;11:1008. doi: 10.3390/life11101008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Siddiqui R., Akbar N., Khan N.A. Gut microbiome and human health under the space environment. J. Appl. Microbiol. 2021;130:14–24. doi: 10.1111/jam.14789. [DOI] [PubMed] [Google Scholar]
  • 57.Vemuri R., Shankar E.M., Chieppa M., Eri R., Kavanagh K. Beyond just bacteria: Functional biomes in the gut ecosystem including virome, mycobiome, archaeome and helminths. Microorganisms. 2020;8:483. doi: 10.3390/microorganisms8040483. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Senatore G., Mastroleo F., Leys N., Mauriello G. Growth of lactobacillus reuteri dsm17938 under two simulated microgravity systems: Changes in reuterin production, gastrointestinal passage resistance, and stress genes expression response. Astrobiology. 2020;20:1–14. doi: 10.1089/ast.2019.2082. [DOI] [PubMed] [Google Scholar]
  • 59.Wang S., Zhang Y., Guo J., Kang L., Deng Y., Li Y. Investigation on rat intestinal homeostasis alterations induced by 7-day simulated microgravity effect based on a proteomic approach. Acta Astronaut. 2020;166:560–566. doi: 10.1016/j.actaastro.2018.11.013. [DOI] [Google Scholar]
  • 60.Shama S., Qaisar R., Khan N.A., Tauseef I., Siddiqui R. The role of 4-phenylbutyric acid in gut microbial dysbiosis in a mouse model of simulated microgravity. Life. 2022;12:1301. doi: 10.3390/life12091301. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Cui J., Yi Z., Fu Y., Liu H. Simulated microgravity shapes the endophytic bacterial community by affecting wheat root metabolism. Environ. Microbiol. 2022;24:3355–3368. doi: 10.1111/1462-2920.16015. [DOI] [PubMed] [Google Scholar]
  • 62.Green M.J., Aylott J.W., Williams P., Ghaemmaghami A.M., Williams P.M. Immunity in space: Prokaryote adaptations and immune response in microgravity. Life. 2021;11:112. doi: 10.3390/life11020112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Bai P., Zhang B., Zhao X., Li D., Yu Y., Zhang X., Huang B., Liu C. Decreased metabolism and increased tolerance to extreme environments in staphylococcus warneri during long-term spaceflight. MicrobiologyOpen. 2019;8:e917. doi: 10.1002/mbo3.917. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Zhang B., Bai P., Zhao X., Yu Y., Zhang X., Li D., Liu C. Increased growth rate and amikacin resistance of salmonella enteritidis after one-month spaceflight on china’s shenzhou-11 spacecraft. MicrobiologyOpen. 2019;8:e00833. doi: 10.1002/mbo3.833. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Crucian B.E., Choukèr A., Simpson R.J., Mehta S., Marshall G., Smith S.M., Zwart S.R., Heer M., Ponomarev S., Whitmire A., et al. Immune system dysregulation during spaceflight: Potential countermeasures for deep space exploration missions. Front. Immunol. 2018;9:1437. doi: 10.3389/fimmu.2018.01437. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Bigley A.B., Agha N.H., Baker F.L., Spielmann G., Kunz H.E., Mylabathula P.L., Rooney B.V., Laughlin M.S., Mehta S.K., Pierson D.L., et al. Nk cell function is impaired during long-duration spaceflight. J. Appl. Physiol. 2019;126:842–853. doi: 10.1152/japplphysiol.00761.2018. [DOI] [PubMed] [Google Scholar]
  • 67.Shi L., Tian H., Wang P., Li L., Zhang Z., Zhang J., Zhao Y. Spaceflight and simulated microgravity suppresses macrophage development via altered ras/erk/nfκb and metabolic pathways. Cell. Mol. Immunol. 2021;18:1489–1502. doi: 10.1038/s41423-019-0346-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Krieger S.S., Zwart S.R., Mehta S., Wu H., Simpson R.J., Smith S.M., Crucian B. Alterations in saliva and plasma cytokine concentrations during long-duration spaceflight. Front. Immunol. 2021;12:725748. doi: 10.3389/fimmu.2021.725748. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Barrila J., Sarker S.F., Hansmeier N., Yang S., Buss K., Briones N., Park J., Davis R.R., Forsyth R.J., Ott C.M., et al. Evaluating the effect of spaceflight on the host–pathogen interaction between human intestinal epithelial cells and salmonella typhimurium. NPJ Microgravity. 2021;7:9. doi: 10.1038/s41526-021-00136-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Li Y., Chen Y., Wang L., Li Y., Song Y., Yang R., Han Y. Evaluation of pathogenesis and biofilm formation ability of yersinia pestis after 40-day exposure to simulated microgravity. Int. J. Astrobiol. 2022;21:96–109. doi: 10.1017/S1473550422000039. [DOI] [Google Scholar]
  • 71.Morrison M.D., Thissen J.B., Karouia F., Mehta S., Urbaniak C., Venkateswaran K., Smith D.J., Jaing C. Investigation of spaceflight induced changes to astronaut microbiomes. Front. Microbiol. 2021;12:659179. doi: 10.3389/fmicb.2021.659179. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Prasad B., Richter P., Vadakedath N., Haag F.W.M., Strauch S.M., Mancinelli R., Schwarzwälder A., Etcheparre E., Gaume N., Lebert M. How the space environment influences organisms: An astrobiological perspective and review. Int. J. Astrobiol. 2021;20:159–177. doi: 10.1017/S1473550421000057. [DOI] [Google Scholar]
  • 73.Prasad B., Richter P., Vadakedath N., Mancinelli R., Krüger M., Strauch S.M., Grimm D., Darriet P., Chapel J.-P., Cohen J., et al. Exploration of space to achieve scientific breakthroughs. Biotechnol. Adv. 2020;43:107572. doi: 10.1016/j.biotechadv.2020.107572. [DOI] [PubMed] [Google Scholar]
  • 74.Gilbert R., Torres M., Clemens R., Hateley S., Hosamani R., Wade W., Bhattacharya S. Spaceflight and simulated microgravity conditions increase virulence of serratia marcescens in the drosophila melanogaster infection model. NPJ Microgravity. 2020;6:4. doi: 10.1038/s41526-019-0091-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Sheet S., Yesupatham S., Ghosh K., Choi M.-S., Shim K.S., Lee Y.S. Modulatory effect of low-shear modeled microgravity on stress resistance, membrane lipid composition, virulence, and relevant gene expression in the food-borne pathogen listeria monocytogenes. Enzym. Microb. Technol. 2020;133:109440. doi: 10.1016/j.enzmictec.2019.109440. [DOI] [PubMed] [Google Scholar]
  • 76.Fajardo-Cavazos P., Leehan J.D., Nicholson W.L. Alterations in the spectrum of spontaneous rifampicin-resistance mutations in the bacillus subtilis rpob gene after cultivation in the human spaceflight environment. Front. Microbiol. 2018;9:192. doi: 10.3389/fmicb.2018.00192. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Tirumalai M.R., Karouia F., Tran Q., Stepanov V.G., Bruce R.J., Ott C.M., Pierson D.L., Fox G.E. Evaluation of acquired antibiotic resistance in Escherichia coli exposed to long-term low-shear modeled microgravity and background antibiotic exposure. mBio. 2019;10:e02637-18. doi: 10.1128/mBio.02637-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Prasad B., Grimm D., Strauch S.M., Erzinger G.S., Corydon T.J., Lebert M., Magnusson N.E., Infanger M., Richter P., Krüger M. Influence of microgravity on apoptosis in cells, tissues, and other systems in vivo and in vitro. Int. J. Mol. Sci. 2020;21:9373. doi: 10.3390/ijms21249373. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Urbaniak C., Grams T., Mason C.E., Venkateswaran K. Simulated microgravity promotes horizontal gene transfer of antimicrobial resistance genes between bacterial genera in the absence of antibiotic selective pressure. Life. 2021;11:960. doi: 10.3390/life11090960. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Sharma G., Curtis P.D. The impacts of microgravity on bacterial metabolism. Life. 2022;12:774. doi: 10.3390/life12060774. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Vroom M.M., Rodriguez-Ocasio Y., Lynch J.B., Ruby E.G., Foster J.S. Modeled microgravity alters lipopolysaccharide and outer membrane vesicle production of the beneficial symbiont vibrio fischeri. NPJ Microgravity. 2021;7:8. doi: 10.1038/s41526-021-00138-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Tesei D., Chiang A.J., Kalkum M., Stajich J.E., Mohan G.B.M., Sterflinger K., Venkateswaran K. Effects of simulated microgravity on the proteome and secretome of the polyextremotolerant black fungus knufia chersonesos. Front. Genet. 2021;12:638708. doi: 10.3389/fgene.2021.638708. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Cordero R.J.B., Dragotakes Q., Friello P.J., Casadevall A. Melanin protects cryptococcus neoformans from spaceflight effects. Environ. Microbiol. Rep. 2022;14:679–685. doi: 10.1111/1758-2229.13078. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Thombre R., Shinde V., Dixit J., Jagtap S., Vidyasagar P.B. Response of extreme haloarchaeon haloarcula argentinensis rr10 to simulated microgravity in clinorotation. 3 Biotech. 2017;7:30. doi: 10.1007/s13205-016-0596-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.D’Agostino M., Babin A.-L., Zaffino M., Frippiat J.-P., Machouart M., Debourgogne A. Simulated microgravity created using a random positioning machine induces changes in the physiology of the fusarium solani species complex. Microorganisms. 2022;10:2270. doi: 10.3390/microorganisms10112270. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Wang J., Han C., Lu Z., Ge P., Cui Y., Zhao D., Yang X., Wu B., Qiang L., Zhang Y., et al. Simulated microgravity suppresses mapk pathway-mediated innate immune response to bacterial infection and induces gut microbiota dysbiosis. FASEB J. 2020;34:14631–14644. doi: 10.1096/fj.202001428R. [DOI] [PubMed] [Google Scholar]
  • 87.Walls S., Diop S., Birse R., Elmen L., Gan Z., Kalvakuri S., Pineda S., Reddy C., Taylor E., Trinh B., et al. Prolonged exposure to microgravity reduces cardiac contractility and initiates remodeling in drosophila. Cell Rep. 2020;33:108445. doi: 10.1016/j.celrep.2020.108445. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Vroom M.M., Troncoso-Garcia A., Duscher A.A., Foster J.S. Modeled microgravity alters apoptotic gene expression and caspase activity in the squid-vibrio symbiosis. BMC Microbiol. 2022;22:202. doi: 10.1186/s12866-022-02614-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Higashibata A., Hashizume T., Nemoto K., Higashitani N., Etheridge T., Mori C., Harada S., Sugimoto T., Szewczyk N.J., Baba S.A., et al. Microgravity elicits reproducible alterations in cytoskeletal and metabolic gene and protein expression in space-flown caenorhabditis elegans. NPJ Microgravity. 2016;2:15022. doi: 10.1038/npjmgrav.2015.22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Higashitani A., Hashizume T., Takiura M., Higashitani N., Teranishi M., Oshima R., Yano S., Kuriyama K., Higashibata A. Histone deacetylase hda-4-mediated epigenetic regulation in space-flown c. Elegans. NPJ Microgravity. 2021;7:33. doi: 10.1038/s41526-021-00163-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Liu H., Guo D., Kong Y., Rui Q., Wang D. Damage on functional state of intestinal barrier by microgravity stress in nematode caenorhabditis elegans. Ecotoxicol. Environ. Saf. 2019;183:109554. doi: 10.1016/j.ecoenv.2019.109554. [DOI] [PubMed] [Google Scholar]
  • 92.Kong Y., Liu H., Li W., Wang D. Intestine-specific activity of insulin signaling pathway in response to microgravity stress in caenorhabditis elegans. Biochem. Biophys. Res. Commun. 2019;517:278–284. doi: 10.1016/j.bbrc.2019.07.067. [DOI] [PubMed] [Google Scholar]
  • 93.Hong X., Ratri A., Choi S.Y., Tash J.S., Ronca A.E., Alwood J.S., Christenson L.K. Effects of spaceflight aboard the international space station on mouse estrous cycle and ovarian gene expression. NPJ Microgravity. 2021;7:11. doi: 10.1038/s41526-021-00139-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Horie K., Kato T., Kudo T., Sasanuma H., Miyauchi M., Akiyama N., Miyao T., Seki T., Ishikawa T., Takakura Y., et al. Impact of spaceflight on the murine thymus and mitigation by exposure to artificial gravity during spaceflight. Sci. Rep. 2019;9:19866. doi: 10.1038/s41598-019-56432-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Horie K., Sasanuma H., Kudo T., Fujita S.-I., Miyauchi M., Miyao T., Seki T., Akiyama N., Takakura Y., Shimbo M., et al. Down-regulation of gata1-dependent erythrocyte-related genes in the spleens of mice exposed to a space travel. Sci. Rep. 2019;9:7654. doi: 10.1038/s41598-019-44067-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Honda Y., Higashibata A., Matsunaga Y., Yonezawa Y., Kawano T., Higashitani A., Kuriyama K., Shimazu T., Tanaka M., Szewczyk N.J., et al. Genes down-regulated in spaceflight are involved in the control of longevity in caenorhabditis elegans. Sci. Rep. 2012;2:487. doi: 10.1038/srep00487. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Guéguinou N., Jeandel J., Kaminski S., Baatout S., Ghislin S., Frippiat J.-P. Modulation of iberian ribbed newt complement component c3 by stressors similar to those encountered during a stay onboard the international space station. Int. J. Mol. Sci. 2019;20:1579. doi: 10.3390/ijms20071579. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Mader T.H., Gibson C.R., Pass A.F., Kramer L.A., Lee A.G., Fogarty J., Tarver W.J., Dervay J.P., Hamilton D.R., Sargsyan A., et al. Optic disc edema, globe flattening, choroidal folds, and hyperopic shifts observed in astronauts after long-duration space flight. Ophthalmology. 2011;118:2058–2069. doi: 10.1016/j.ophtha.2011.06.021. [DOI] [PubMed] [Google Scholar]
  • 99.Cialdai F., Bolognini D., Vignali L., Iannotti N., Cacchione S., Magi A., Balsamo M., Vukich M., Neri G., Donati A., et al. Effect of space flight on the behavior of human retinal pigment epithelial arpe-19 cells and evaluation of coenzyme q10 treatment. Cell. Mol. Life Sci. 2021;78:7795–7812. doi: 10.1007/s00018-021-03989-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Chakravarty K., Lai S.-H., Boyko V., Chen R., Dueck S., Berrios D.C., Fogle H., Marcu O., Timucin L., Reinsch S., et al. Genelab: Multi-Omics Investigation of Rodent Research-1 Bio-Banked Tissues. [(accessed on 1 November 2022)]; Available online: https://ntrs.nasa.gov/citations/20170000299.
  • 101.Mao X.W., Sandberg L.B., Gridley D.S., Herrmann E.C., Zhang G., Raghavan R., Zubarev R.A., Zhang B., Stodieck L.S., Ferguson V.L., et al. Proteomic analysis of mouse brain subjected to spaceflight. Int. J. Mol. Sci. 2018;20:7. doi: 10.3390/ijms20010007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Mao X.W., Nishiyama N.C., Byrum S.D., Stanbouly S., Jones T., Drew A., Sridharan V., Boerma M., Tackett A.J., Zawieja D., et al. Characterization of mouse ocular response to a 35-day spaceflight mission: Evidence of blood-retinal barrier disruption and ocular adaptations. Sci. Rep. 2019;9:8215. doi: 10.1038/s41598-019-44696-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Overbey E.G., da Silveira W.A., Stanbouly S., Nishiyama N.C., Roque-Torres G.D., Pecaut M.J., Zawieja D.C., Wang C., Willey J.S., Delp M.D., et al. Spaceflight influences gene expression, photoreceptor integrity, and oxidative stress-related damage in the murine retina. Sci. Rep. 2019;9:13304. doi: 10.1038/s41598-019-49453-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Chen Z., Stanbouly S., Nishiyama N.C., Chen X., Delp M.D., Qiu H., Mao X.W., Wang C. Spaceflight decelerates the epigenetic clock orchestrated with a global alteration in DNA methylome and transcriptome in the mouse retina. Precis. Clin. Med. 2021;4:93–108. doi: 10.1093/pcmedi/pbab012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Sharma T.P., Miller R.C.S., ShahulHameed S.P., Kubik A., Allen N., Altinok S., Oswalt L.E., Sanchez-Hodge R., Schisler J.C., Blaber E., et al. Spaceflight-associated mirnas alters expression of targeted genes in ocular and spinal tissue under simulated spaceflight conditions. Investig. Ophthalmol. Vis. Sci. 2022;63:1177-A0031. [Google Scholar]
  • 106.Laurie S.S., Vizzeri G., Taibbi G., Ferguson C.R., Hu X., Lee S.M.C., Ploutz-Snyder R., Smith S.M., Zwart S.R., Stenger M.B. Effects of short-term mild hypercapnia during head-down tilt on intracranial pressure and ocular structures in healthy human subjects. Physiol. Rep. 2017;5:e13302. doi: 10.14814/phy2.13302. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Zwart S.R., Laurie S.S., Chen J.J., Macias B.R., Lee S.M.C., Stenger M., Grantham B., Carey K., Young M., Smith S.M. Association of genetics and b vitamin status with the magnitude of optic disc edema during 30-day strict head-down tilt bed rest. JAMA Ophthalmol. 2019;137:1195–1200. doi: 10.1001/jamaophthalmol.2019.3124. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Barravecchia I., De Cesari C., Forcato M., Scebba F., Pyankova O.V., Bridger J.M., Foster H.A., Signore G., Borghini A., Andreassi M., et al. Microgravity and space radiation inhibit autophagy in human capillary endothelial cells, through either opposite or synergistic effects on specific molecular pathways. Cell. Mol. Life Sci. 2021;79:28. doi: 10.1007/s00018-021-04025-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Versari S., Longinotti G., Barenghi L., Maier J.A., Bradamante S. The challenging environment on board the international space station affects endothelial cell function by triggering oxidative stress through thioredoxin interacting protein overexpression: The esa-sphinx experiment. FASEB J. 2013;27:4466–4475. doi: 10.1096/fj.13-229195. [DOI] [PubMed] [Google Scholar]
  • 110.Cazzaniga A., Locatelli L., Castiglioni S., Maier J.A.M. The dynamic adaptation of primary human endothelial cells to simulated microgravity. FASEB J. 2019;33:5957–5966. doi: 10.1096/fj.201801586RR. [DOI] [PubMed] [Google Scholar]
  • 111.Liang Y., Wang M., Liu Y., Wang C., Takahashi K., Naruse K. Meta-analysis-assisted detection of gravity-sensitive genes in human vascular endothelial cells. Front. Cell. Dev. Biol. 2021;9:689662. doi: 10.3389/fcell.2021.689662. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Li C.F., Sun J.X., Gao Y., Shi F., Pan Y.K., Wang Y.C., Sun X.Q. Clinorotation-induced autophagy via hdm2-p53-mtor pathway enhances cell migration in vascular endothelial cells. Cell. Death Dis. 2018;9:147. doi: 10.1038/s41419-017-0185-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Pan Y.K., Li C.F., Gao Y., Wang Y.C., Sun X.Q. Effect of mir-27b-5p on apoptosis of human vascular endothelial cells induced by simulated microgravity. Apoptosis. 2020;25:73–91. doi: 10.1007/s10495-019-01580-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Xu D., Guo Y.B., Zhang M., Sun Y.Q. The subsequent biological effects of simulated microgravity on endothelial cell growth in huvecs. Chin. J. Traumatol. 2018;21:229–237. doi: 10.1016/j.cjtee.2018.04.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Kasiviswanathan D., Chinnasamy Perumal R., Bhuvaneswari S., Kumar P., Sundaresan L., Philip M., Puthenpurackal Krishnankutty S., Chatterjee S. Interactome of mirnas and transcriptome of human umbilical cord endothelial cells exposed to short-term simulated microgravity. NPJ Microgravity. 2020;6:18. doi: 10.1038/s41526-020-00108-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Zhao H., Shi Y., Qiu C., Zhao J., Gong Y., Nie C., Wu B., Yang Y., Wang F., Luo L. Effects of simulated microgravity on ultrastructure and apoptosis of choroidal vascular endothelial cells. Front. Physiol. 2020;11:577325. doi: 10.3389/fphys.2020.577325. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Dittrich A., Grimm D., Sahana J., Bauer J., Krüger M., Infanger M., Magnusson N.E. Key proteins involved in spheroid formation and angiogenesis in endothelial cells after long-term exposure to simulated microgravity. Cell. Physiol. Biochem. 2018;45:429–445. doi: 10.1159/000486920. [DOI] [PubMed] [Google Scholar]
  • 118.Krüger M., Pietsch J., Bauer J., Kopp S., Carvalho D.T.O., Baatout S., Moreels M., Melnik D., Wehland M., Egli M., et al. Growth of endothelial cells in space and in simulated microgravity—A comparison on the secretory level. Cell. Physiol. Biochem. 2019;52:1039–1060. doi: 10.33594/000000071. [DOI] [PubMed] [Google Scholar]
  • 119.Li N., Wang C., Sun S., Zhang C., Lü D., Chen Q., Long M. Microgravity-induced alterations of inflammation-related mechanotransduction in endothelial cells on board sj-10 satellite. Front. Physiol. 2018;9:1025. doi: 10.3389/fphys.2018.01025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Kong L., Wang Y., Wang H., Pan Q., Zuo R., Bai S., Zhang X., Lee W.Y., Kang Q., Li G. Conditioned media from endothelial progenitor cells cultured in simulated microgravity promote angiogenesis and bone fracture healing. Stem Cell Res. Ther. 2021;12:47. doi: 10.1186/s13287-020-02074-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121.Girn H.R., Orsi N.M., Homer-Vanniasinkam S. An overview of cytokine interactions in atherosclerosis and implications for peripheral arterial disease. Vasc. Med. 2007;12:299–309. doi: 10.1177/1358863X07083387. [DOI] [PubMed] [Google Scholar]
  • 122.Grosse J., Wehland M., Pietsch J., Schulz H., Saar K., Hübner N., Elles C., Bauer J., Abou-El-Ardat K., Baatout S., et al. Gravity-sensitive signaling drives 3-dimensional formation of multicellular thyroid cancer spheroids. FASEB J. 2012;26:5124–5140. doi: 10.1096/fj.12-215749. [DOI] [PubMed] [Google Scholar]
  • 123.Janmaleki M., Pachenari M., Seyedpour S.M., Shahghadami R., Sanati-Nezhad A. Impact of simulated microgravity on cytoskeleton and viscoelastic properties of endothelial cell. Sci. Rep. 2016;6:32418. doi: 10.1038/srep32418. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Rudimov E.G., Buravkova L.B. Endothelial gravisensitivity: The role of cytoskeleton and adhesion molecules. Fiziol. Cheloveka. 2016;42:116–123. doi: 10.1134/S0362119716060177. [DOI] [PubMed] [Google Scholar]
  • 125.Locatelli L., Cazzaniga A., De Palma C., Castiglioni S., Maier J.A.M. Mitophagy contributes to endothelial adaptation to simulated microgravity. FASEB J. 2020;34:1833–1845. doi: 10.1096/fj.201901785RRR. [DOI] [PubMed] [Google Scholar]
  • 126.Morbidelli L., Monici M., Marziliano N., Cogoli A., Fusi F., Waltenberger J., Ziche M. Simulated hypogravity impairs the angiogenic response of endothelium by up-regulating apoptotic signals. Biochem. Biophys. Res. Commun. 2005;334:491–499. doi: 10.1016/j.bbrc.2005.06.124. [DOI] [PubMed] [Google Scholar]
  • 127.Tang N.P., Hui T.T., Ma J., Mei Q.B. Effects of mir-503-5p on apoptosis of human pulmonary microvascular endothelial cells in simulated microgravity. J. Cell. Biochem. 2019;120:727–737. doi: 10.1002/jcb.27430. [DOI] [PubMed] [Google Scholar]
  • 128.Cogoli A., Tschopp A. Lymphocyte reactivity during spaceflight. Immunol. Today. 1985;6:1–4. doi: 10.1016/0167-5699(85)90151-3. [DOI] [PubMed] [Google Scholar]
  • 129.Cogoli A. Hematological and immunological changes during space flight. Acta Astronaut. 1981;8:995–1002. doi: 10.1016/0094-5765(81)90070-9. [DOI] [PubMed] [Google Scholar]
  • 130.Calcagno G., Jeandel J., Frippiat J.-P., Kaminski S. Simulated Microgravity Disrupts Nuclear Factor kB Signaling and Impairs Murine Dendritic Cell Phenotype and Function. Int. J. Mol. Sci. 2023;24:1720. doi: 10.3390/ijms24021720. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131.Bisserier M., Shanmughapriya S., Rai A.K., Gonzalez C., Brojakowska A., Garikipati V.N.S., Madesh M., Mills P.J., Walsh K., Arakelyan A., et al. Cell-free mitochondrial DNA as a potential biomarker for astronauts’ health. J. Am. Heart Assoc. 2021;10:e022055. doi: 10.1161/JAHA.121.022055. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132.Brojakowska A., Kour A., Thel M.C., Park E., Bisserier M., Garikipati V.N.S., Hadri L., Mills P.J., Walsh K., Goukassian D.A. Retrospective analysis of somatic mutations and clonal hematopoiesis in astronauts. Commun. Biol. 2022;5:828. doi: 10.1038/s42003-022-03777-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133.Bezdan D., Grigorev K., Meydan C., Pelissier Vatter F.A., Cioffi M., Rao V., MacKay M., Nakahira K., Burnham P., Afshinnekoo E., et al. Cell-free DNA (cfdna) and exosome profiling from a year-long human spaceflight reveals circulating biomarkers. iScience. 2020;23:101844. doi: 10.1016/j.isci.2020.101844. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134.Gertz M.L., Chin C.R., Tomoiaga D., MacKay M., Chang C., Butler D., Afshinnekoo E., Bezdan D., Schmidt M.A., Mozsary C., et al. Multi-omic, single-cell, and biochemical profiles of astronauts guide pharmacological strategies for returning to gravity. Cell Rep. 2020;33:108429. doi: 10.1016/j.celrep.2020.108429. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135.Schmidt M.A., Meydan C., Schmidt C.M., Afshinnekoo E., Mason C.E. The nasa twins study: The effect of one year in space on long-chain fatty acid desaturases and elongases. Lifestyle Genom. 2020;13:107–121. doi: 10.1159/000506769. [DOI] [PubMed] [Google Scholar]
  • 136.Thiel C.S., Christoffel S., Tauber S., Vahlensieck C., Zélicourt D., Layer L.E., Lauber B., Polzer J., Ullrich O. Rapid cellular perception of gravitational forces in human jurkat t cells and transduction into gene expression regulation. Int. J. Mol. Sci. 2020;21:514. doi: 10.3390/ijms21020514. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137.Vogel J., Thiel C.S., Tauber S., Stockmann C., Gassmann M., Ullrich O. Expression of hypoxia-inducible factor 1α (hif-1α) and genes of related pathways in altered gravity. Int. J. Mol. Sci. 2019;20:436. doi: 10.3390/ijms20020436. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.Vahlensieck C., Thiel C.S., Zhang Y., Huge A., Ullrich O. Gravitational force-induced 3d chromosomal conformational changes are associated with rapid transcriptional response in human t cells. Int. J. Mol. Sci. 2021;22:9426. doi: 10.3390/ijms22179426. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139.Tauber S., Christoffel S., Thiel C.S., Ullrich O. Transcriptional homeostasis of oxidative stress-related pathways in altered gravity. Int. J. Mol. Sci. 2018;19:2814. doi: 10.3390/ijms19092814. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140.Thiel C.S., Hauschild S., Huge A., Tauber S., Lauber B.A., Polzer J., Paulsen K., Lier H., Engelmann F., Schmitz B., et al. Dynamic gene expression response to altered gravity in human t cells. Sci. Rep. 2017;7:5204. doi: 10.1038/s41598-017-05580-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 141.Pecaut M.J., Mao X.W., Bellinger D.L., Jonscher K.R., Stodieck L.S., Ferguson V.L., Bateman T.A., Mohney R.P., Gridley D.S. Is spaceflight-induced immune dysfunction linked to systemic changes in metabolism? PLoS ONE. 2017;12:e0174174. doi: 10.1371/journal.pone.0174174. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 142.ElGindi M., Sapudom J., Laws P., Garcia-Sabaté A., Daqaq M.F., Teo J. 3d microenvironment attenuates simulated microgravity-mediated changes in t cell transcriptome. Cell. Mol. Life Sci. 2022;79:508. doi: 10.1007/s00018-022-04531-8. [DOI] [PubMed] [Google Scholar]
  • 143.Ludtka C., Moore E., Allen J.B. The effects of simulated microgravity on macrophage phenotype. Biomedicines. 2021;9:1205. doi: 10.3390/biomedicines9091205. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 144.Spatz J.M., Fulford M.H., Tsai A., Gaudilliere D., Hedou J., Ganio E., Angst M., Aghaeepour N., Gaudilliere B. Human immune system adaptations to simulated microgravity revealed by single-cell mass cytometry. Sci. Rep. 2021;11:11872. doi: 10.1038/s41598-021-90458-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 145.Yuan M., Liu H., Zhou S., Zhou X., Huang Y.E., Hou F., Jiang W. Integrative analysis of regulatory module reveals associations of microgravity with dysfunctions of multi-body systems and tumorigenesis. Int. J. Mol. Sci. 2020;21:7585. doi: 10.3390/ijms21207585. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 146.Rinaldi S., Meloni M.A., Galleri G., Maioli M., Pigliaru G., Cugia G., Santaniello S., Castagna A., Fontani V. Radio electric asymmetric conveyer (reac) technology to obviate loss of t cell responsiveness under simulated microgravity. PLoS ONE. 2018;13:e0200128. doi: 10.1371/journal.pone.0200128. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147.Moreno-Villanueva M., Feiveson A.H., Krieger S., Kay Brinda A., von Scheven G., Bürkle A., Crucian B., Wu H. Synergistic effects of weightlessness, isoproterenol, and radiation on DNA damage response and cytokine production in immune cells. Int. J. Mol. Sci. 2018;19:3689. doi: 10.3390/ijms19113689. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148.Paul A.M., Overbey E.G., da Silveira W.A., Szewczyk N., Nishiyama N.C., Pecaut M.J., Anand S., Galazka J.M., Mao X.W. Immunological and hematological outcomes following protracted low dose/low dose rate ionizing radiation and simulated microgravity. Sci. Rep. 2021;11:11452. doi: 10.1038/s41598-021-90439-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 149.Zhu L., Nie L., Xie S., Li M., Zhu C., Qiu X., Kuang J., Liu C., Lu C., Li W., et al. Attenuation of antiviral immune response caused by perturbation of trim25-mediated rig-i activation under simulated microgravity. Cell Rep. 2021;34:108600. doi: 10.1016/j.celrep.2020.108600. [DOI] [PubMed] [Google Scholar]
  • 150.Fitzgerald J., Endicott J., Hansen U., Janowitz C. Articular cartilage and sternal fibrocartilage respond differently to extended microgravity. NPJ Microgravity. 2019;5:3. doi: 10.1038/s41526-019-0063-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151.Ma Z., Li D.X., Chee R.K.W., Kunze M., Mulet-Sierra A., Sommerfeldt M., Westover L., Graf D., Adesida A.B. Mechanical unloading of engineered human meniscus models under simulated microgravity: A transcriptomic study. Sci. Data. 2022;9:736. doi: 10.1038/s41597-022-01837-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 152.Ma Z., Li D.X., Kunze M., Mulet-Sierra A., Westover L., Adesida A.B. Engineered human meniscus in modeling sex differences of knee osteoarthritis in vitro. Front. Bioeng. Biotechnol. 2022;10:823679. doi: 10.3389/fbioe.2022.823679. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 153.Wuest S.L., Caliò M., Wernas T., Tanner S., Giger-Lange C., Wyss F., Ille F., Gantenbein B., Egli M. Influence of mechanical unloading on articular chondrocyte dedifferentiation. Int. J. Mol. Sci. 2018;19:1289. doi: 10.3390/ijms19051289. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 154.Wehland M., Steinwerth P., Aleshcheva G., Sahana J., Hemmersbach R., Lützenberg R., Kopp S., Infanger M., Grimm D. Tissue engineering of cartilage using a random positioning machine. Int. J. Mol. Sci. 2020;21:9596. doi: 10.3390/ijms21249596. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 155.Henrich M., Ha P., Wang Y., Ting K., Stodieck L., Soo C., Adams J.S., Chun R. Alternative splicing diversifies the skeletal muscle transcriptome during prolonged spaceflight. Skelet. Muscle. 2022;12:11. doi: 10.1186/s13395-022-00294-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 156.Gambara G., Salanova M., Ciciliot S., Furlan S., Gutsmann M., Schiffl G., Ungethuem U., Volpe P., Gunga H.-C., Blottner D. Gene expression profiling in slow-type calf soleus muscle of 30 days space-flown mice. PLoS ONE. 2017;12:e0169314. doi: 10.1371/journal.pone.0169314. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 157.Hayashi T., Kudo T., Fujita R., Fujita S.-i., Tsubouchi H., Fuseya S., Suzuki R., Hamada M., Okada R., Muratani M., et al. Nuclear factor e2-related factor 2 (nrf2) deficiency accelerates fast fibre type transition in soleus muscle during space flight. Commun. Biol. 2021;4:787. doi: 10.1038/s42003-021-02334-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 158.Okada R., Fujita S.-I., Suzuki R., Hayashi T., Tsubouchi H., Kato C., Sadaki S., Kanai M., Fuseya S., Inoue Y., et al. Transcriptome analysis of gravitational effects on mouse skeletal muscles under microgravity and artificial 1 g onboard environment. Sci. Rep. 2021;11:a9168. doi: 10.1038/s41598-021-88392-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 159.Uda Y., Spatz J.M., Hussein A., Garcia J.H., Lai F., Dedic C., Fulzele K., Dougherty S., Eberle M., Adamson C., et al. Global transcriptomic analysis of a murine osteocytic cell line subjected to spaceflight. FASEB J. 2021;35:e21578. doi: 10.1096/fj.202100059R. [DOI] [PubMed] [Google Scholar]
  • 160.Gambacurta A., Merlini G., Ruggiero C., Diedenhofen G., Battista N., Bari M., Balsamo M., Piccirillo S., Valentini G., Mascetti G., et al. Human osteogenic differentiation in space: Proteomic and epigenetic clues to better understand osteoporosis. Sci. Rep. 2019;9:8343. doi: 10.1038/s41598-019-44593-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 161.Li L., Zhang C., Chen J.-l., Hong F.-f., Chen P., Wang J.-f. Effects of simulated microgravity on the expression profiles of rna during osteogenic differentiation of human bone marrow mesenchymal stem cells. Cell Prolif. 2019;52:e12539. doi: 10.1111/cpr.12539. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 162.Mann V., Grimm D., Corydon T.J., Krüger M., Wehland M., Riwaldt S., Sahana J., Kopp S., Bauer J., Reseland J.E., et al. Changes in human foetal osteoblasts exposed to the random positioning machine and bone construct tissue engineering. Int. J. Mol. Sci. 2019;20:1357. doi: 10.3390/ijms20061357. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 163.Braveboy-Wagner J., Lelkes P.I. Impairment of 7f2 osteoblast function by simulated partial gravity in a random positioning machine. NPJ Microgravity. 2022;8:20. doi: 10.1038/s41526-022-00202-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 164.Cao Z., Zhang Y., Wei S., Zhang X., Guo Y., Han B. Comprehensive circrna expression profile and function network in osteoblast-like cells under simulated microgravity. Gene. 2021;764:145106. doi: 10.1016/j.gene.2020.145106. [DOI] [PubMed] [Google Scholar]
  • 165.Grimm D., Bauer J., Wise P., Krüger M., Simonsen U., Wehland M., Infanger M., Corydon T.J. The role of sox family members in solid tumours and metastasis. Semin. Cancer Biol. 2020;67:122–153. doi: 10.1016/j.semcancer.2019.03.004. [DOI] [PubMed] [Google Scholar]
  • 166.Cortés-Sánchez J.L., Callant J., Krüger M., Sahana J., Kraus A., Baselet B., Infanger M., Baatout S., Grimm D. Cancer studies under space conditions: Finding answers abroad. Biomedicines. 2022;10:25. doi: 10.3390/biomedicines10010025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 167.Drago-Ferrante R., Di Fiore R., Karouia F., Subbannayya Y., Das S., Aydogan Mathyk B., Arif S., Guevara-Cerdán A.P., Seylani A., Galsinh A.S., et al. Extraterrestrial gynecology: Could spaceflight increase the risk of developing cancer in female astronauts? An updated review. Int. J. Mol. Sci. 2022;23:7465. doi: 10.3390/ijms23137465. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 168.Reynolds R.J., Bukhtiyarov I.V., Tikhonova G.I., Day S.M., Ushakov I.B., Gorchakova T.Y.U. Contrapositive logic suggests space radiation not having a strong impact on mortality of us astronauts and soviet and russian cosmonauts. Sci. Rep. 2019;9:8583. doi: 10.1038/s41598-019-44858-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 169.Reynolds R., Little M.P., Day S., Charvat J., Blattnig S., Huff J., Patel Z.S. Cancer incidence and mortality in the USA astronaut corps, 1959–2017. Occup. Environ. Med. 2021;78:869–875. doi: 10.1136/oemed-2020-107143. [DOI] [PubMed] [Google Scholar]
  • 170.Clark O.H. Controversies in familial thyroid cancer 2014. Ulus. Cerrahi Derg. 2014;30:62–66. doi: 10.5152/UCD.2014.125092014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 171.Bongarzone I., Fugazzola L., Vigneri P., Mariani L., Mondellini P., Pacini F., Basolo F., Pinchera A., Pilotti S., Pierotti M.A. Age-related activation of the tyrosine kinase receptor protooncogenes ret and ntrk1 in papillary thyroid carcinoma. J. Clin. Endocrinol. Metab. 1996;81:2006–2009. doi: 10.1210/jcem.81.5.8626874. [DOI] [PubMed] [Google Scholar]
  • 172.American Cancer Society Key Statistics for Thyroid Cancer. [(accessed on 28 November 2022)]. Available online: https://www.Cancer.Org/cancer/thyroid-cancer/about/key-statistics.Html.
  • 173.Plakhuta-Plakutina G.I., Kabitskii E.N., Dmitrieva N.P., Amirkhanian E.A. Studies of the morphology of the thyroid gland and thyroid hormone levels in the blood of rats in experiments on “kosmos-1667” and “kosmos-1887”. Kosm. Biol. Aviakosm Med. 1990;24:25–27. [PubMed] [Google Scholar]
  • 174.Bauer J., Kopp S., Schlagberger E.M., Grosse J., Sahana J., Riwaldt S., Wehland M., Luetzenberg R., Infanger M., Grimm D. Proteome analysis of human follicular thyroid cancer cells exposed to the random positioning machine. Int. J. Mol. Sci. 2017;18:546. doi: 10.3390/ijms18030546. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 175.Bauer J., Grimm D., Gombocz E. Semantic analysis of thyroid cancer cell proteins obtained from rare research opportunities. J. Biomed. Inform. 2017;76:138–153. doi: 10.1016/j.jbi.2017.10.011. [DOI] [PubMed] [Google Scholar]
  • 176.Bauer J., Wehland M., Infanger M., Grimm D., Gombocz E. Semantic analysis of posttranslational modification of proteins accumulated in thyroid cancer cells exposed to simulated microgravity. Int. J. Mol. Sci. 2018;19:2257. doi: 10.3390/ijms19082257. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 177.Hou G., Xu B., Bi Y., Wu C., Ru B., Sun B., Bai X. Recent advances in research on aspartate beta-hydroxylase (asph) in pancreatic cancer: A brief update. Bosn. J. Basic. Med. Sci. 2018;18:297–304. doi: 10.17305/bjbms.2018.3539. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 178.Kopp S., Kruger M., Feldmann S., Oltmann H., Schutte A., Schmitz B., Bauer J., Schulz H., Saar K., Huebner N., et al. Thyroid cancer cells in space during the texus-53 sounding rocket mission—The thyroid project. Sci. Rep. 2018;8:10355. doi: 10.1038/s41598-018-28695-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 179.Kopp S., Kruger M., Bauer J., Wehland M., Corydon T.J., Sahana J., Nassef M.Z., Melnik D., Bauer T.J., Schulz H., et al. Microgravity affects thyroid cancer cells during the texus-53 mission stronger than hypergravity. Int. J. Mol. Sci. 2018;19:4001. doi: 10.3390/ijms19124001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 180.Nassef M.Z., Kopp S., Wehland M., Melnik D., Sahana J., Krüger M., Corydon T.J., Oltmann H., Schmitz B., Schütte A., et al. Real microgravity influences the cytoskeleton and focal adhesions in human breast cancer cells. Int. J. Mol. Sci. 2019;20:3156. doi: 10.3390/ijms20133156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 181.Wise P.M., Neviani P., Riwaldt S., Corydon T.J., Wehland M., Braun M., Kruger M., Infanger M., Grimm D. Changes in exosome release in thyroid cancer cells after prolonged exposure to real microgravity in space. Int. J. Mol. Sci. 2021;22:2132. doi: 10.3390/ijms22042132. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 182.Melnik D., Kruger M., Schulz H., Kopp S., Wehland M., Bauer J., Baselet B., Vermeesen R., Baatout S., Corydon T.J., et al. The cellbox-2 mission to the international space station: Thyroid cancer cells in space. Int. J. Mol. Sci. 2021;22:8777. doi: 10.3390/ijms22168777. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 183.Melnik D., Sahana J., Corydon T.J., Kopp S., Nassef M.Z., Wehland M., Infanger M., Grimm D., Kruger M. Dexamethasone inhibits spheroid formation of thyroid cancer cells exposed to simulated microgravity. Cells. 2020;9:367. doi: 10.3390/cells9020367. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 184.Wise P.M., Neviani P., Riwaldt S., Corydon T.J., Wehland M., Braun M., Krüger M., Infanger M., Grimm D. Changes in exosomal mirna composition in thyroid cancer cells after prolonged exposure to real microgravity in space. Int. J. Mol. Sci. 2021;22:12841. doi: 10.3390/ijms222312841. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 185.Melnik D., Cortés-Sánchez J.L., Sandt V., Kahlert S., Kopp S., Grimm D., Krüger M. Dexamethasone selectively inhibits detachment of metastatic thyroid cancer cells during random positioning. Cancers. 2023;15:1641. doi: 10.3390/cancers15061641. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 186.Strube F., Infanger M., Wehland M., Delvinioti X., Romswinkel A., Dietz C., Kraus A. Alteration of cytoskeleton morphology and gene expression in human breast cancer cells under simulated microgravity. Cell J. 2020;22:106–114. doi: 10.22074/cellj.2020.6537. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 187.Kopp S., Sahana J., Islam T., Petersen A.G., Bauer J., Corydon T.J., Schulz H., Saar K., Huebner N., Slumstrup L., et al. The role of nfκb in spheroid formation of human breast cancer cells cultured on the random positioning machine. Sci. Rep. 2018;8:921. doi: 10.1038/s41598-017-18556-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 188.Sahana J., Corydon T.J., Wehland M., Krüger M., Kopp S., Melnik D., Kahlert S., Relja B., Infanger M., Grimm D. Alterations of growth and focal adhesion molecules in human breast cancer cells exposed to the random positioning machine. Front. Cell. Dev. Biol. 2021;9:672098. doi: 10.3389/fcell.2021.672098. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 189.Nassef M.Z., Kopp S., Melnik D., Corydon T.J., Sahana J., Krüger M., Wehland M., Bauer T.J., Liemersdorf C., Hemmersbach R., et al. Short-term microgravity influences cell adhesion in human breast cancer cells. Int. J. Mol. Sci. 2019;20:5730. doi: 10.3390/ijms20225730. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 190.Calvaruso M., Militello C., Minafra L., La Regina V., Torrisi F., Pucci G., Cammarata F.P., Bravata V., Forte G.I., Russo G. Biological and mechanical characterization of the random positioning machine (rpm) for microgravity simulations. Life. 2021;11:1190. doi: 10.3390/life11111190. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 191.Sahana J., Cortés-Sánchez J.L., Sandt V., Melnik D., Corydon T.J., Schulz H., Cai Z., Evert K., Grimm D., Wehland M. Long-term simulation of microgravity induces changes in gene expression in breast cancer cells. Int. J. Mol. Sci. 2023;24:1181. doi: 10.3390/ijms24021181. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 192.Hybel T.E., Dietrichs D., Sahana J., Corydon T.J., Nassef M.Z., Wehland M., Kruger M., Magnusson N.E., Bauer J., Utpatel K., et al. Simulated microgravity influences vegf, mapk, and pam signaling in prostate cancer cells. Int. J. Mol. Sci. 2020;21:1263. doi: 10.3390/ijms21041263. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 193.Dietrichs D., Grimm D., Sahana J., Melnik D., Corydon T.J., Wehland M., Kruger M., Vermeesen R., Baselet B., Baatout S., et al. Three-dimensional growth of prostate cancer cells exposed to simulated microgravity. Front. Cell. Dev. Biol. 2022;10:841017. doi: 10.3389/fcell.2022.841017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 194.Schulz H., Dietrichs D., Wehland M., Corydon T.J., Hemmersbach R., Liemersdorf C., Melnik D., Hubner N., Saar K., Infanger M., et al. In prostate cancer cells cytokines are early responders to gravitational changes occurring in parabolic flights. Int. J. Mol. Sci. 2022;23:7876. doi: 10.3390/ijms23147876. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 195.Ahn C.B., Lee J.H., Han D.G., Kang H.W., Lee S.H., Lee J.I., Son K.H., Lee J.W. Simulated microgravity with floating environment promotes migration of non-small cell lung cancers. Sci. Rep. 2019;9:14553. doi: 10.1038/s41598-019-50736-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 196.Dietz C., Infanger M., Romswinkel A., Strube F., Kraus A. Apoptosis induction and alteration of cell adherence in human lung cancer cells under simulated microgravity. Int. J. Mol. Sci. 2019;20:3601. doi: 10.3390/ijms20143601. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 197.Baghoum H., Alahmed H., Hachim M., Senok A., Jalaleddine N., Al Heialy S. Simulated microgravity influences immunity-related biomarkers in lung cancer. Int. J. Mol. Sci. 2022;24:155. doi: 10.3390/ijms24010155. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 198.Arun R.P., Sivanesan D., Vidyasekar P., Verma R.S. Pten/foxo3/akt pathway regulates cell death and mediates morphogenetic differentiation of colorectal cancer cells under simulated microgravity. Sci. Rep. 2017;7:5952. doi: 10.1038/s41598-017-06416-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 199.Rembialkowska N., Baczynska D., Dubinska-Magiera M., Choromanska A., Biezunska-Kusiak K., Gajewska-Naryniecka A., Novickij V., Saczko J., Przystupski D., Kulbacka J. Rccs bioreactor-based modeled microgravity affects gastric cancer cells and improves the chemotherapeutic effect. Membranes. 2022;12:448. doi: 10.3390/membranes12050448. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 200.Costantini D., Overi D., Casadei L., Cardinale V., Nevi L., Carpino G., Di Matteo S., Safarikia S., Valerio M., Melandro F., et al. Simulated microgravity promotes the formation of tridimensional cultures and stimulates pluripotency and a glycolytic metabolism in human hepatic and biliary tree stem/progenitor cells. Sci. Rep. 2019;9:5559. doi: 10.1038/s41598-019-41908-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 201.Masini M.A., Bonetto V., Manfredi M., Pasto A., Barberis E., Timo S., Vanella V.V., Robotti E., Masetto F., Andreoli F., et al. Prolonged exposure to simulated microgravity promotes stemness impairing morphological, metabolic and migratory profile of pancreatic cancer cells: A comprehensive proteomic, lipidomic and transcriptomic analysis. Cell. Mol. Life Sci. 2022;79:226. doi: 10.1007/s00018-022-04243-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 202.Ivanova K., Eiermann P., Tsiockas W., Hemmersbach R., Gerzer R. Differential regulation of cgmp signaling in human melanoma cells at altered gravity: Simulated microgravity down-regulates cancer-related gene expression and motility. Microgravity Sci. Technol. 2018;30:457–467. doi: 10.1007/s12217-018-9611-z. [DOI] [Google Scholar]
  • 203.Chung Y.J., Lee J.I., Chong S., Seok J.W., Park S.J., Jang H.W., Kim S.W., Chung J.H. Anti-proliferative effect and action mechanism of dexamethasone in human medullary thyroid cancer cell line. Endocr. Res. 2011;36:149–157. doi: 10.3109/07435800.2011.593012. [DOI] [PubMed] [Google Scholar]
  • 204.Kumar K., Moon B.H., Datta K., Fornace A.J., Jr., Suman S. Simulated galactic cosmic radiation (gcr)-induced expression of spp1 coincide with mammary ductal cell proliferation and preneoplastic changes in apc(min/+) mouse. Life Sci. Space Res. 2023;36:116–122. doi: 10.1016/j.lssr.2022.09.006. [DOI] [PubMed] [Google Scholar]
  • 205.Chatziravdeli V., Katsaras G.N., Lambrou G.I. Gene expression in osteoblasts and osteoclasts under microgravity conditions: A systematic review. Curr. Genom. 2019;20:184–198. doi: 10.2174/1389202920666190422142053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 206.Topal U., Zamur C. Microgravity, stem cells, and cancer: A new hope for cancer treatment. Stem Cells Int. 2021;2021:5566872. doi: 10.1155/2021/5566872. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 207.Sahana J., Nassef M.Z., Wehland M., Kopp S., Krüger M., Corydon T.J., Infanger M., Bauer J., Grimm D. Decreased e-cadherin in mcf7 human breast cancer cells forming multicellular spheroids exposed to simulated microgravity. Proteomics. 2018;18:e1800015. doi: 10.1002/pmic.201800015. [DOI] [PubMed] [Google Scholar]
  • 208.Wise P.M., Sahana J., Neviani P., Corydon T.J., Schulz H., Wehland M., Infanger M., Grimm D. Prolonged exposure to simulated microgravity changes release of small extracellular vesicle in breast cancer cells. Int. J. Mol. Sci. 2022;23:16095. doi: 10.3390/ijms232416095. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 209.Strube F., Infanger M., Dietz C., Romswinkel A., Kraus A. Short-term effects of simulated microgravity on morphology and gene expression in human breast cancer cells. Physiol. Int. 2019;106:311–322. doi: 10.1556/2060.106.2019.29. [DOI] [PubMed] [Google Scholar]
  • 210.Feger B.J., Thompson J.W., Dubois L.G., Kommaddi R.P., Foster M.W., Mishra R., Shenoy S.K., Shibata Y., Kidane Y.H., Moseley M.A., et al. Microgravity induces proteomics changes involved in endoplasmic reticulum stress and mitochondrial protection. Sci. Rep. 2016;6:34091. doi: 10.1038/srep34091. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 211.Monti N., Masiello M.G., Proietti S., Catizone A., Ricci G., Harrath A.H., Alwasel S.H., Cucina A., Bizzarri M. Survival pathways are differently affected by microgravity in normal and cancerous breast cells. Int. J. Mol. Sci. 2021;22:862. doi: 10.3390/ijms22020862. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 212.American Cancer Society Key Statistics for Prostate Cancer. [(accessed on 28 November 2022)]. Available online: https://www.Cancer.Org/cancer/prostate-cancer/about/key-statistics.Html.
  • 213.Twombly R. Prostate modeling experiment success becomes part of legacy of shuttle astronauts. J. Natl. Cancer Inst. 2003;95:505–507. doi: 10.1093/jnci/95.7.505. [DOI] [PubMed] [Google Scholar]
  • 214.Tai S., Sun Y., Squires J.M., Zhang H., Oh W.K., Liang C.Z., Huang J. Pc3 is a cell line characteristic of prostatic small cell carcinoma. Prostate. 2011;71:1668–1679. doi: 10.1002/pros.21383. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 215.Grimm D., Schulz H., Krüger M., Cortés-Sánchez J.L., Egli M., Kraus A., Sahana J., Corydon T.J., Hemmersbach R., Wise P.M., et al. The fight against cancer by microgravity: The multicellular spheroid as a metastasis model. Int. J. Mol. Sci. 2022;23:3073. doi: 10.3390/ijms23063073. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 216.Sung H., Ferlay J., Siegel R.L., Laversanne M., Soerjomataram I., Jemal A., Bray F. Global cancer statistics 2020: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2021;71:209–249. doi: 10.3322/caac.21660. [DOI] [PubMed] [Google Scholar]
  • 217.Degan P., Cortese K., Pulliero A., Bruno S., Gagliani M.C., Congiu M., Izzotti A. Simulated microgravity effects on human adenocarcinoma alveolar epithelial cells: Characterization of morphological, functional, and epigenetic parameters. Int. J. Mol. Sci. 2021;22:6951. doi: 10.3390/ijms22136951. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 218.Chung J.H., Ahn C.B., Son K.H., Yi E., Son H.S., Kim H.S., Lee S.H. Simulated microgravity effects on nonsmall cell lung cancer cell proliferation and migration. Aerosp. Med. Hum. Perform. 2017;88:82–89. doi: 10.3357/AMHP.4647.2017. [DOI] [PubMed] [Google Scholar]
  • 219.Pisanu M.E., Noto A., De Vitis C., Masiello M.G., Coluccia P., Proietti S., Giovagnoli M.R., Ricci A., Giarnieri E., Cucina A., et al. Lung cancer stem cell lose their stemness default state after exposure to microgravity. Biomed. Res. Int. 2014;2014:470253. doi: 10.1155/2014/470253. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 220.Xi Y., Xu P. Global colorectal cancer burden in 2020 and projections to 2040. Transl. Oncol. 2021;14:101174. doi: 10.1016/j.tranon.2021.101174. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 221.Grimm D., Bauer J., Kossmehl P., Shakibaei M., Schoberger J., Pickenhahn H., Schulze-Tanzil G., Vetter R., Eilles C., Paul M., et al. Simulated microgravity alters differentiation and increases apoptosis in human follicular thyroid carcinoma cells. FASEB J. 2002;16:604–606. doi: 10.1096/fj.01-0673fje. [DOI] [PubMed] [Google Scholar]
  • 222.Masiello M.G., Cucina A., Proietti S., Palombo A., Coluccia P., D’Anselmi F., Dinicola S., Pasqualato A., Morini V., Bizzarri M. Phenotypic switch induced by simulated microgravity on mda-mb-231 breast cancer cells. Biomed. Res. Int. 2014;2014:652434. doi: 10.1155/2014/652434. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 223.NIH National Cancer Institute. [(accessed on 7 November 2022)];Cancer Stat Facts: Melanoma of the Skin. Available online: https://seer.Cancer.Gov/statfacts/html/melan.Html.
  • 224.Zhao T., Li R., Tan X., Zhang J., Fan C., Zhao Q., Deng Y., Xu A., Lukong K.E., Genth H., et al. Simulated microgravity reduces focal adhesions and alters cytoskeleton and nuclear positioning leading to enhanced apoptosis via suppressing fak/rhoa-mediated mtorc1/nf-kappab and erk1/2 pathways. Int. J. Mol. Sci. 2018;19:1994. doi: 10.3390/ijms19071994. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 225.Tan X., Xu A., Zhao T., Zhao Q., Zhang J., Fan C., Deng Y., Freywald A., Genth H., Xiang J. Simulated microgravity inhibits cell focal adhesions leading to reduced melanoma cell proliferation and metastasis via fak/rhoa-regulated mtorc1 and ampk pathways. Sci. Rep. 2018;8:3769. doi: 10.1038/s41598-018-20459-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 226.Liu H., Yao Z., Fu Y., Feng J. Review of research into bioregenerative life support system(s) which can support humans living in space. Life Sci. Space Res. 2021;31:113–120. doi: 10.1016/j.lssr.2021.09.003. [DOI] [PubMed] [Google Scholar]
  • 227.Kawamoto N., Morita M.T. Gravity sensing and responses in the coordination of the shoot gravitropic setpoint angle. New. Phytol. 2022;236:1637–1654. doi: 10.1111/nph.18474. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 228.Ferl R., Wheeler R., Levine H.G., Paul A.L. Plants in space. Curr. Opin. Plant. Biol. 2002;5:258–263. doi: 10.1016/S1369-5266(02)00254-6. [DOI] [PubMed] [Google Scholar]
  • 229.Schüler O., Hemmersbach R., Böhmer M. A bird’s-eye view of molecular changes in plant gravitropism using omics techniques. Front. Plant. Sci. 2015;6:1176. doi: 10.3389/fpls.2015.01176. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 230.Xie J., Wang L., Zheng H. Molecular basis to integrate microgravity signals into the photoperiodic flowering pathway in arabidopsis thaliana under spaceflight condition. Int. J. Mol. Sci. 2021;23:63. doi: 10.3390/ijms23010063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 231.Wu Y., Xie J., Wang L., Zheng H. Circumnutation and growth of inflorescence stems of arabidopsis thaliana in response to microgravity under different photoperiod conditions. Life. 2020;10:26. doi: 10.3390/life10030026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 232.Karahara I., Suto T., Yamaguchi T., Yashiro U., Tamaoki D., Okamoto E., Yano S., Tanigaki F., Shimazu T., Kasahara H., et al. Vegetative and reproductive growth of arabidopsis under microgravity conditions in space. J. Plant. Res. 2020;133:571–585. doi: 10.1007/s10265-020-01200-4. [DOI] [PubMed] [Google Scholar]
  • 233.Link B.M., Durst S.J., Zhou W., Stankovic B. Seed-to-seed growth of arabidopsis thaliana on the international space station. Adv. Space Res. 2003;31:2237–2243. doi: 10.1016/S0273-1177(03)00250-3. [DOI] [PubMed] [Google Scholar]
  • 234.Link B.M., Busse J.S., Stankovic B. Seed-to-seed-to-seed growth and development of arabidopsis in microgravity. Astrobiology. 2014;14:866–875. doi: 10.1089/ast.2014.1184. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 235.Musgrave M.E., Kuang A. Plant reproductive development during spaceflight. Adv. Space Biol. Med. 2003;9:1–23. doi: 10.1016/s1569-2574(03)09001-4. [DOI] [PubMed] [Google Scholar]
  • 236.Califar B., Sng N.J., Zupanska A., Paul A.L., Ferl R.J. Root skewing-associated genes impact the spaceflight response of arabidopsis thaliana. Front. Plant Sci. 2020;11:239. doi: 10.3389/fpls.2020.00239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 237.Choi W.G., Barker R.J., Kim S.H., Swanson S.J., Gilroy S. Variation in the transcriptome of different ecotypes of arabidopsis thaliana reveals signatures of oxidative stress in plant responses to spaceflight. Am. J. Bot. 2019;106:123–136. doi: 10.1002/ajb2.1223. [DOI] [PubMed] [Google Scholar]
  • 238.Manian V., Orozco J., Gangapuram H., Janwa H., Agrinsoni C. Network analysis of gene transcriptions of arabidopsis thaliana in spaceflight microgravity. Genes. 2021;12:337. doi: 10.3390/genes12030337. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 239.Sheppard J., Land E.S., Toennisson T.A., Doherty C.J., Perera I.Y. Uncovering transcriptional responses to fractional gravity in arabidopsis roots. Life. 2021;11:1010. doi: 10.3390/life11101010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 240.Herranz R., Vandenbrink J.P., Villacampa A., Manzano A., Poehlman W.L., Feltus F.A., Kiss J.Z., Medina F.J. Rnaseq analysis of the response of arabidopsis thaliana to fractional gravity under blue-light stimulation during spaceflight. Front. Plant. Sci. 2019;10:1529. doi: 10.3389/fpls.2019.01529. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 241.Angelos E., Ko D.K., Zemelis-Durfee S., Brandizzi F. Relevance of the unfolded protein response to spaceflight-induced transcriptional reprogramming in arabidopsis. Astrobiology. 2021;21:367–380. doi: 10.1089/ast.2020.2313. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 242.Wakabayashi K., Soga K., Hoson T., Kotake T., Yamazaki T., Ishioka N., Shimazu T., Kamada M. Microgravity affects the level of matrix polysaccharide 1,3:1,4-β-glucans in cell walls of rice shoots by increasing the expression level of a gene involved in their breakdown. Astrobiology. 2020;20:820–829. doi: 10.1089/ast.2019.2140. [DOI] [PubMed] [Google Scholar]
  • 243.Jin J., Chen H., Cai W. Transcriptomic analysis reveals the effects of microgravity on rice calli on board the chinese spaceship shenzhou 8. Microgravity Sci. Technol. 2018;30:807–816. doi: 10.1007/s12217-018-9633-6. [DOI] [Google Scholar]
  • 244.Xu P., Chen H., Hu J., Pang X., Jin J., Cai W. Pectin methylesterase gene atpmepcra contributes to physiological adaptation to simulated and spaceflight microgravity in arabidopsis. iScience. 2022;25:104331. doi: 10.1016/j.isci.2022.104331. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 245.Zhou M., Sng N.J., LeFrois C.E., Paul A.L., Ferl R.J. Epigenomics in an extraterrestrial environment: Organ-specific alteration of DNA methylation and gene expression elicited by spaceflight in arabidopsis thaliana. BMC Genom. 2019;20:205. doi: 10.1186/s12864-019-5554-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 246.Xu P., Chen H., Hu J., Cai W. Potential evidence for transgenerational epigenetic memory in arabidopsis thaliana following spaceflight. Commun. Biol. 2021;4:835. doi: 10.1038/s42003-021-02342-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 247.Xu P., Chen H., Jin J., Cai W. Single-base resolution methylome analysis shows epigenetic changes in arabidopsis seedlings exposed to microgravity spaceflight conditions on board the sj-10 recoverable satellite. NPJ Microgravity. 2018;4:12. doi: 10.1038/s41526-018-0046-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 248.Jin H., Fu X., Yu X., Zhu L., Yang Q., Yuan F. Genome-wide comparison of structural variations and transposon alterations in soybean cultivars induced by spaceflight. Int. J. Mol. Sci. 2022;23:13721. doi: 10.3390/ijms232213721. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 249.Kruse C.P.S., Meyers A.D., Basu P., Hutchinson S., Luesse D.R., Wyatt S.E. Spaceflight induces novel regulatory responses in arabidopsis seedling as revealed by combined proteomic and transcriptomic analyses. BMC Plant Biol. 2020;20:237. doi: 10.1186/s12870-020-02392-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 250.Spartz A.K., Ren H., Park M.Y., Grandt K.N., Lee S.H., Murphy A.S., Sussman M.R., Overvoorde P.J., Gray W.M. Saur inhibition of pp2c-d phosphatases activates plasma membrane h+-atpases to promote cell expansion in arabidopsis. Plant Cell. 2014;26:2129–2142. doi: 10.1105/tpc.114.126037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 251.Vandenbrink J.P., Herranz R., Poehlman W.L., Alex Feltus F., Villacampa A., Ciska M., Javier Medina F., Kiss J.Z. Rna-seq analyses of arabidopsis thaliana seedlings after exposure to blue-light phototropic stimuli in microgravity. Am. J. Bot. 2019;106:1466–1476. doi: 10.1002/ajb2.1384. [DOI] [PubMed] [Google Scholar]
  • 252.Villacampa A., Ciska M., Manzano A., Vandenbrink J.P., Kiss J.Z., Herranz R., Medina F.J. From spaceflight to mars g-levels: Adaptive response of a. Thaliana seedlings in a reduced gravity environment is enhanced by red-light photostimulation. Int. J. Mol. Sci. 2021;22:899. doi: 10.3390/ijms22020899. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 253.da Silveira W.A., Fazelinia H., Rosenthal S.B., Laiakis E.C., Kim M.S., Meydan C., Kidane Y., Rathi K.S., Smith S.M., Stear B., et al. Comprehensive multi-omics analysis reveals mitochondrial stress as a central biological hub for spaceflight impact. Cell. 2020;183:1185–1201. doi: 10.1016/j.cell.2020.11.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 254.Herranz R., Benguría A., Laván D.A., López-Vidriero I., Gasset G., Javier Medina F., van Loon J.J., Marco R. Spaceflight-related suboptimal conditions can accentuate the altered gravity response of drosophila transcriptome. Mol. Ecol. 2010;19:4255–4264. doi: 10.1111/j.1365-294X.2010.04795.x. [DOI] [PubMed] [Google Scholar]
  • 255.Beisel N.S., Noble J., Barbazuk W.B., Paul A.L., Ferl R.J. Spaceflight-induced alternative splicing during seedling development in arabidopsis thaliana. NPJ Microgravity. 2019;5:9. doi: 10.1038/s41526-019-0070-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 256.Heyneke E., Hoefgen R. Meeting the complexity of plant nutrient metabolism with multi-omics approaches. J. Exp. Bot. 2021;72:2261–2265. doi: 10.1093/jxb/eraa600. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 257.Kim B.H., Cai X., Vaughn J.N., von Arnim A.G. On the functions of the h subunit of eukaryotic initiation factor 3 in late stages of translation initiation. Genome Biol. 2007;8:R60. doi: 10.1186/gb-2007-8-4-r60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 258.Schepetilnikov M., Dimitrova M., Mancera-Martínez E., Geldreich A., Keller M., Ryabova L.A. Tor and s6k1 promote translation reinitiation of uorf-containing mrnas via phosphorylation of eif3h. EMBO J. 2013;32:1087–1102. doi: 10.1038/emboj.2013.61. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 259.Vandenbrink J.P., Kiss J.Z. Space, the final frontier: A critical review of recent experiments performed in microgravity. Plant Sci. 2016;243:115–119. doi: 10.1016/j.plantsci.2015.11.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 260.Ferranti F., Del Bianco M., Pacelli C. Advantages and limitations of current microgravity platforms for space biology research. Appl. Sci. 2021;11:68. doi: 10.3390/app11010068. [DOI] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Not applicable.


Articles from Cells are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES