Abstract
Extracellular vesicles are a heterogeneous group of cell-derived membranous structures comprising of exosomes, apoptotic bodies, and microvesicles. Of the extracellular vesicles, exosomes are the most widely sorted and extensively explored for their contents and function. The size of the nanovesicular structures (exosomes) range from 30 to 140 nm and are present in various biological fluids such as saliva, plasma, urine etc. These cargo-laden extracellular vesicles arise from endosome-derived multivesicular bodies and are known to carry proteins and nucleic acids. Exosomes are involved in multiple physiological and pathological processes, including cellular senescence. Exosomes mediate signaling crosstalk and play a critical role in cell–cell communications. Exosomes have evolved as potential biomarkers for aging-related diseases. Aging, a physiological process, involves a progressive decline of function of organs with a loss of homeostasis and increasing probability of illness and death. The review focuses on the classic view of exosome biogenesis, biology, and age-associated changes. Owing to their ability to transport biological information among cells, the review also discusses the interplay of senescent cell-derived exosomes with the aging process, including the susceptibility of the aging population to COVID-19 infections.
Keywords: exosomes, aging, extracellular vesicles, miRNA, COVID-19
1. Introduction
Extracellular vesicles (EVs), once considered to be cellular waste products with minimal biological or clinical significance, have evolved over time to be one of the critical mediators of intercellular communications, biomarkers for various diseases, and biovesicles for drug delivery and therapy. Extracellular vesicles are lipid bound and are secreted by different type of cells. They form a heterogeneous group comprising mainly of exosomes, microvesicles, and apoptotic bodies [1]. They are grouped based on their size, biogenesis, composition, and function. The size of microvesicles is approximately 100–1000 nm in diameter and they originate from the outward budding of the plasma membrane. The apoptotic bodies are generated by the blebbing of plasma membrane of cells undergoing apoptosis and the size ranges from 100 to 5000 nm [2,3]. Of the various EVs, exosomes are the smallest (30–140 nm) and the most extensively studied [4]. The membrane bound vesicles are secreted by almost all cell types and have been isolated from mucosal and endogenous biofluids such as blood, urine, tears, lymph, gastric acid, breast milk, and saliva [5]. Although EVs vary in their origin, biogenesis, secretion, targeting, and final fate [6,7], they have been implicated in key processes such as growth and development, cell-to-cell communication, immunomodulation, blood coagulation, aging, and various pathologies [8].
The plasma membrane-derived lipid bilayer of EVs protects within it a diverse cargo of nucleic acids, proteins, and lipids, and they are shielded against degrading enzymes such as nucleases and proteases [9]. These cargos are stable under physicochemical conditions generally considered adverse for biological materials. Moreover, the composition of the EVs represents a snapshot of the cell status at the time of secretion, and studies have reported that pathological states such as cancer, premature senescence, oxidative stress, and apoptosis could alter their composition [10].
2. Microvesicles and Apoptotic Bodies
All microvesicles (MVs) have specific ‘marker proteins’ regardless of the cell type from which they are released. Since they are formed by the outward blebbing of the plasma membrane, they mainly consist of cytosolic and plasma membrane-associated proteins such as tetraspanins, cytoskeletal proteins, integrins, and heat shock proteins [6]. MVs target or interact with other cells with the help of glycan-binding proteins on their surface [2]. MVs have the ability to package active cargo (such as nucleic acids, proteins, and RNAs) and deliver it to neighboring cells and can thereby modulate/regulate their function [11,12]. The cargo varies depending on the physiological or pathological state of the cells. Some MVs released by Mesenchymal Stem Cells (MSCs) in response to oxidative stress could also carry mitochondrial particles along with mitochondrial DNA (mtDNA) [13]. Perhaps understanding the composition of MVs could aid in better therapeutic strategies.
Apoptotic bodies are released by dying cells, and they tend to be on the larger side (1–5 µm) based on the size of various EVs [6]. The apoptotic bodies have a very different composition compared to MVs and exosomes. They majorly contain intact organelles, chromatin, histones, and glycosylated proteins.
3. Exosomes: Biogenesis and Release
‘Platelet dust’ was the term used for the first time to describe EVs by Wolf [14]. Thereafter, all biological fluids were found to contain vesicles of different sizes [7]. The smallest of all the EVs (less than 150 nm), the exosomes were first visualized in the reticulocytes of rat and sheep [15]. The vesicle release was considered as a mechanism for the elimination of specific membrane proteins like transferrin receptors, which are known to diminish during the maturation of reticulocyte [15]. The exosomes are released during the fusion of microvesicular bodies (MVBs) with the plasma membrane [6]. The release of exosomes has many steps involved such as (i) the formation of intraluminal vesicles in MVBs, (ii) their transport to plasma membrane, and (iii) fusion (Figure 1). Normally, MVBs help in clearing cellular waste by undergoing degradation in the lysosomes. To some extent, the composition of exosomes reflects the composition of MVBs. Hence, exosomes could also carry misfolded and harmful proteins and can contribute to disease progression [16].
Various studies have demonstrated different strategies for the biogenesis of exosomes. One of the broadly accepted strategies is the involvement of the Endosomal Sorting complex required for transport (ESCRT). ESCRT is activated during membrane budding, cytokinesis, and autophagy, and it is involved in EV biogenesis [1]. The exosome biogenesis can occur either via ESCRT-dependent or ESCRT-independent pathways and mainly depends on the type and physiological state of the cell. In addition, the biogenesis pathways will also determine the composition of various exosomes [17]. Figure 1 illustrates the many different proteins involved in the exosome biogenesis.
Exosomes released from different cell types contain different lipids and proteins. The lipid composition of exosomes comprises those lipids that are part of the plasma membrane and the Golgi, and they are enriched in glycosphingolipids, cholesterol [18], phosphatidylserine [19], and ceramide. Exosomal cargo also includes RNAs such as mRNAs, miRNAs, LncRNAs, and circular RNAs as well as short DNA sequences. These cargos are potential mediators of cell survival, homeostasis, cell functions, and intercellular communications. Put together, these distinct characteristics position EVs as a potential class of biomarkers with strong diagnostic potential in the context of personalized medicine.
Exosomes have been implicated in a variety of biological processes. Dendritic cell-derived exosomes have been shown to modulate T-cell response similar to the intact cells, thus implicating an immunomodulatory role for these nanovesicles [20]. Exosomes with hsc73, a heat shock protein, have been reported to elicit antitumor activity [21]. The FasL ligand in exosomes from tumor cells has been shown to mediate apoptosis [22]. The composition and the function of the exosomes vary depending on the cell type and reflects their pathophysiological state. Depending on the protein composition, the exosomes may have varied effects such as cytotoxic, immunomodulatory, and apoptotic activity. Exosomes help transfer membrane proteins between cells without the requirement of direct cell–cell contact [23].
4. Senescence and Its Effect on Stem Cell Biology, Transplantation, and Function
Aging is a complex cellular and molecular process involving both genetic and environmental factors. The salient features of aging include elevated Reactive Oxygen Species (ROS) levels, mitochondrial dysfunction, genetic mutations, and DNA damage [24]. With aging, inflammation and macromolecule dysfunction slowly sets in, leading to irreversible damage/senescence of cells [25]. Mitochondrial dysfunction is the major reason for the increased oxidative stress. Adult stem cells have also been shown to exhibit senescent phenotype with increasing age [26,27]. These pathological changes increase the burden on cells, which will ultimately succumb to apoptosis. Studies have shown that a reduction of senescent cells can lead to reduced inflammation, macromolecular dysfunction, and an improvement in progenitor functions [28]. The aging process can be driven by cell autonomous or cell non-autonomous mechanisms. The time-dependent accumulation of damaged macromolecules, genetic material, and organelles can lead to cell autonomous aging [29]. However, studies have shown that circulating factors in younger healthy animals could regenerate the tissues in older mice. Factors such as Growth Differentiation Factor 11 (GDF-11) and oxytocin are some examples and are termed anti-geronic [30]. For instance, recombinant GDF (rGDF) has rejuvenating effects in heart, skeletal muscles, and brain [31]. Conversely, some factors in blood from old patients have been shown to drive aging. Pro-geronic factors such as chemokine CCL-11 and β2 microglobulin could play roles in cell non-autonomous aging [32]. Since EVs are released by all cells, they could act both as anti- and pro-geronic factors.
Senescence involves the loss of the proliferative potential of normally replication-competent cells. Senescent cells usually develop a senescence-associated secretory phenotype (SASP) and are characterized by an increased release of pro-inflammatory cytokines and chemokines, and tissue-damaging proteases [33]. They also released factors that can alter stem and progenitor cell function, hemostatic factors, and growth factors. The markers of senescent cells are an increased expression of cell cycle regulators like p16INK4A and p21Cip1. [34,35]. They also have increased SASP factors such as IL-6, IL-8, monocyte chemoattractant protein-1, and plasminogen-activated inhibitor-1, increased senescence-associated β-galactosidase (SA-βgal) activity and telomere-associated DNA damage foci (TAFs) [36]. These SASP features have substantial pathological effects to the neighboring cells. Studies found that removal of the p16INK4a-positive cells and also clearing senescent cells extend the lifespan in transgenic mice models [37]. On the contrary, injecting senescent cells could drive age-related diseases, indicating the critical role played by these cells in determining the physical condition [38]. Senescent cells have been reported to release more EVs than normal cells, and they exhibit a totally different composition [39]. These EVs could also be considered part of the SASPs and could play role in senescent cell-induced premature aging.
Another effect of aging is the loss of ability of cells to effectively respond to stress and their limited regenerative capacity. Several studies have reported an age-dependent decline in the characteristics of several different types of adult stem cells [40]. Mesenchymal Stem Cells (MSCs) from old mice have been shown to be defective in differentiation [41]. Interestingly, injecting young MSCs into old mice has shown to expand the lifespan [42].
The bone marrow and adipose tissue-derived MSCs were found to have reduced ability to respond to oxidative stress when isolated from aged donors [43]. MSCs are a key component of the hematopoietic niche and with aging, MSCs exert a detrimental effect on the hematopoietic system. Neural stem cells exhibit compromised proliferation and differentiation as well as an enhanced senescence phenotype with aging [44]. Age-associated cognitive effects such as neurodegenerative disorders, memory defects, and olfactory dysfunction were consequent to the deterioration of NSC function. The function of the HSCs is modulated by the microenvironment, which produces the cell-intrinsic and extrinsic factors [45]. However, aging impairs the microenvironment, which alters HSC functions, similar to cell cycle regulation, proliferation, and differentiation. c-kit+ Cardiac Stem Cells (CSCs) residing within the myocardium also exhibit age-associated changes. CSCs from aged patients expressed the cyclin-dependent kinase p16INK4a [46]. CSCs from older mice had reduced telomere length and increased apoptosis [47]. The same changes were observed in Wistar rats with aging and researchers also found that the incidence of hypertensive heart disease accelerated the aging process [27].
Several studies indicate the protective effect of EVs from stem/progenitor cells. For instance, EVs from MSCs have been shown to have the ability to repair damaged tissues and can induce healing of liver, kidney, and heart [48,49]. Therefore, one could assume that EVs from senescent cells would have detrimental effects. The EVs act as messengers by delivering their cargo to the target cells and could explain their role as potential pro- and anti-geronic factors.
Cellular aging could also influence the transplantation outcomes. Age-associated changes in the stem cells and how agingimpairs their functional ability are now well understood. Hence, the age of the donor and the recipient are of prime importance during stem cell transplantation. The stem cells from a young recipient could rejuvenate whereas those from an aged donor exert tissue dysfunction [50]. In addition, the recipients’ microenvironment modulates the fate of stem cells being transplanted. When hematopoietic stem cells (HSCs) from old mice were transplanted, they exhibited reduced rates of homing and engraftment along with impaired differentiation ability [51]. When performing hematopoietic cell transplantation, it is critical to assess the chronological as well as biological age of the patient. The biological age of the cells can be attained by evaluating their clonogenic capacity and telomere length [52]. The telomere length of autologous CD34+ cells did not have any influence on the clinical outcome in cardiomyopathy patients. However, a higher CD34+ human Telomerase reverse Transcriptase (hTERT) expression was associated with better clinical outcome [53]. A study found that the increasing age is associated with low peripheral blood CD34+ cells and diminished bone marrow stem cell mobilization by Granulocyte Colony Stimulating Factor (GCSF) in ischemic heart failure patients [54]. EVs secreted from both the transplanted and recipient cells could modulate the cellular behavior and modify signaling pathways. EVs from young stem cells were found to have higher amounts of galectin-3 and certain miRNAs that promote stem cell function compared to those from senescent cells [55]. EVs from senescent cells accelerated age-associated processes such as inflammatory gene expression and telomere dysfunction.
5. Role of Extracellular Vesicles in Age-Related Diseases
Aging is an independent risk factor in the development of neurodegenerative disorders, cardiovascular disease, and diabetes, which are the primary causes of mortality and morbidity in the elderly population [56]. Most recently, with regard to the COVID-19 (Coronavirus disease 2019) pandemic, the aging/elderly population is known to be extremely vulnerable to the disease, resulting in a higher fatality rate [57,58,59]. Age-related changes occur at the cellular and molecular level, affecting the physiological function of tissues and organs. The senescent cells are characterized by cell growth arrest and altered differentiation functions [60]. All these changes result from the cumulative effect of many signaling pathways regulating different cellular processes in the cell. The accumulating evidence suggests that exosomes are physiologically relevant intercellular messengers [6]. Senescence-associated exosomes could transfer many molecules and could accelerate the aging process or associated pathologies in an autocrine, paracrine, and endocrine fashion [61] (Figure 2). A study was carried out to understand the premature cellular senescence and alterations in exosome biogenesis during irradiation in human prostate cancer cells. This analysis identified a novel connection between the induction of p53-dependent senescence and the release of exosomes [61]. Importantly, this supports the possibility that senescence-associated exosomes can transfer cargos between cells that may be recruited to increase the exosome release observed during cellular senescence. EVs from older individuals were shown to have MHC-II expression on monocytes, which was indicative of the effect of EVs on modulating immune response [62]. These EVs are taken up faster by B cells in older individuals when compared to young, and as a result, the levels of circulating EVs could be reduced. This is in contrast to the observation of increased EV production in aged cultured cells [29].
6. Neurodegenerative Disorders
In neurodegenerative diseases such as age-related macular degeneration (AMD) and Alzheimer’s disease (AD), exosomes have been implicated [63]. The contribution of extracellular vesicles (EVs) to peripheral inflammation during aging is also reported [64]. A previous study involving young and old Wistar rats suggests that the normal aging process adversely changes the profile of central and circulating extracellular vesicles. The study aimed at determining the protein concentration, CD63 content, along with AChE activity, in plasma and Cerebrospinal Fluid (CSF) from 3- and 21-month-old Wistar rats [65]. This study correlates the systemic inflammation widely described in the aging process and the susceptibility to age-related diseases such as atherosclerosis and diabetes. During the process of physiological aging, chronic inflammation characterized by increased pro-inflammatory cytokines ensues. The study evaluates exosomal inflammatory cytokines in the healthy aging process. The study concluded that healthy aging changes circulating EV profile in rodents with significant change in the expression of exosomal marker such as CD63 and Acetylcholinesterase (AChE) activity [65]. Platelet derived EVs also carry cytokines, such as IL-1β and inflammasome components in the synovial fluid, as evidenced in patients with rheumatoid arthritis [66]. Interestingly, EVs from the plasma of aged rats show reduced IL-1β levels, which is consistent with the exosome profile in inflammatory condition such as rheumatoid arthritis [25]. The altered IL-1β levels in circulating EVs can be linked to age-related inflammatory conditions. In addition, the disruption of the CSF exosomes as assessed by lower CD63 levels can be related to susceptibility to neurodegenerative disorders in the elderly. It has been observed that the EVs in most inflammatory diseases carry within them damage-associated mediators, cytokines, autoantigens, and tissue-degrading enzymes [67]. Endothelial toxins such as Aβ40 and Aβ42 were observed in the plasma endothelial-derived exosomes of patients with Alzheimer’s disease [68]. Activated microglia could mediate neuroinflammation in various neuropathologies such as Parkinson’s disease [69]. Misfolded alpha-synuclein (α-syn) can further induce misfolding of the α-syn, leading to protein aggregation in neurons, thereby mediating inflammation. Studies have found that α-syn can spread between neurons through exosomes [70]. Astrocytes-derived exosomes have also been shown to induce protein aggregation in the brain [71].
7. Cardiovascular Disorders
A general feature of cellular senescence is increased EVs secretion [29]. Various stimuli such as serial passaging, senescence, and cell damaging processes such as irradiation and DNA-damaging reagents enhance EVs secretion [36]. A recent study on microvesicles from the plasma of senescent Endothelial Cells (ECs) promoted the calcification of human aortic smooth muscle cells [11]. A previous study has reported the presence of senescent ECs in human atherosclerotic plaque [11], suggesting a specific role of senescent MVs in plaque development. Along with oxidative stress, endothelial dysfunction, and inflammation, senescence-associated MVs are considered to be a significant contributor to the development of atherosclerosis [39]. The number of MVs in plasma increases with aging, and they also contain increased amounts of calcium and calcium-binding proteins involved in the calcification of the vessels [72]. Hence, MVs could be used as biomarkers of calcium mineral deposits. MVs might serve as a therapeutic target for the age-associated CVDs such as atherosclerosis, and their quantification and evaluation will help identify patients at risk of CVDs. EVs from senescent cells can mediate early senescence in the neighboring target cell. For instance, EVs from patients with acute coronary syndrome developed early endothelial dysfunction, oxidative stress, premature senescence, and thrombogenicity [73]. miRNAs involved in pathophysiological conditions of the heart are mostly packaged and transported via exosomes [74]. For instance, miR-21 levels were significantly high in patients with aortic stenosis [75]. During heart failure, miR-1, miR-133, miR-208, and miR-499 were found to be enriched in cardiac muscle [76]. Other miRNAs such as miR-1 and miR-133a are also elevated in other cardiovascular diseases [77]. In vitro experiments have shown that cardiac fibroblasts release miRNA-enriched exosomes and facilitate the expression of genes involved in hypertrophy [78]. Next-generation RNA sequencing found that the miRNAs of the exosomes in hypertensive rats were differentially altered compared to normal rats, mainly in relation to the hypertension-specific signaling pathways [79]. The studies indicate that the selective packaging of miRNAs in exosomes under pathological condition could facilitate the development of better diagnosis and treatment for cardiovascular diseases.
8. Diabetes
Diabetes mellitus (DM) is a commonly occurring metabolic disorder whose incidence increases with aging. Initial studies have found elevated levels of different cell-derived large extracellular vesicles in individuals with diabetes mellitus. EVs derived from endothelial cells, monocytes, and platelets could be used as a biomarker for DM [80]. However, cell-specific differences in EV production have been reported in diabetes. For instance, erythrocyte-derived EVs were higher, whereas EVs from platelets and leukocytes were not significantly different in diabetic individuals [81]. Several factors such as insulin resistance, body composition, inflammation, diets, drug, and exercise could induce a higher production of EVs in hyperglycemic condition. The diabetic condition also affects the composition of exosomes [82]. EVs from diabetic patients have been found to express lower levels of leptin receptors and phospho-insulin receptors [81].
A study by Wu et al. on EVs from diabetic patients found that they have altered cargo and modulated the morphology and migration of endothelial cells compared to EVs from euglycemic individuals. Chemoattractants such as Vascular Endothelial Growth Factor A (VEGF-A) present in this cargo induce proangiogenic behavior in endothelial cells. These EVs also have inflammatory proteins such as CD40 and HGF, which could have a protective effect in diabetic individuals [83]. EVs play a significant role in contributing to the development of diabetic cardiomyopathy. EVs derived from the cardiomyocytes of diabetic rats expressed higher levels of miR-320 and low levels of miR-126 [84]. These miRs modulate endothelial cell functions such as proliferation, migration, and tube formation. Hsp70-containing EVs from diabetic rats inhibited cardiomyocyte proliferation which otherwise exhibited protection [85]. Another protein from diabetic endothelial EVs, Mst1, promoted the apoptosis of cardiomyocytes [86]. Rats fed with a high-fat diet exhibited increased circulating microvesicles, which had pro-inflammatory effects on endothelial cells [87]. These studies indicate that the intercellular transfer of harmful molecules of EVs between cardiac cells could deteriorate diabetic cardiomyopathy.
Adipokines are biologically active molecules secreted by adipose tissue, and their alterations could lead to metabolic disorders. The dysregulation of adipocyte secretome is linked to the pathophysiology of type-2 diabetes, and this secretome was mostly associated with the exosomes [88]. The exosomes derived from adipocytes primarily act as regulators of inflammation and systemic insulin resistance. In obesity, the altered adipokine composition contributes to the development of metabolic disorders [89]. Adipocytes release fatty acids and other lipids to meet the systemic metabolic needs, and these bioactive molecules are packaged in exosomes. These lipids are transported to local macrophages. The lipid content in the exosomes from obese mice was much higher than that from the lean mice [90]. In pregnant women with preeclampsia or gestational diabetes mellitus, the concentration of placenta-derived exosomes was found to be higher [91]. These observations indicate the role that exosomes play in regulating metabolic disorders.
9. Other Age-Related Pathologies
Vascular aging involves phenotypic and structural changes in the vascular wall, which consist mainly of endothelial cells and vascular smooth muscle cells. Studies have found the involvement of various exosomal miRNAs and long non-coding RNAs in EC proliferation, inflammation, angiogenesis, senescence, and apoptosis [92]. For instance, cardiomyocyte-derived exosomal miR-17, miR-19, and miR-126 promoted the proliferation and migration of ECs, whereas miR-92a, miR-24, and miR-21 inhibited the processes [93]. miR-92a and miR-21 are also implicated in EC inflammation by activating inflammatory cytokines and chemokines [94]. Exosomal miRNAs can either act as pro-angiogenic or anti-angiogenic factors. Exosomal miR-125a and miR-106b-5p promote and inhibit angiogenesis, respectively [95]. Exosomes play a critical role in transferring signaling molecules between ECs and VSMCs and thereby modulate vascular aging [92].
With aging, the exosomes from bone marrow interstitial fluid were found to have an altered miRNA profile compared to those from young mice. The miRNA-183 cluster is highly expressed in exosomes from aged mice [96]. This altered expression could affect the osteogenic differentiation and also induce stem cell senescence.
10. Exosome Cargo in Senescence
The cells assume a novel phenotype called the senescence-associated secretory phenotype (SASP) when they become senescent, which is characterized by the secretion of a myriad of factors, including the release of exosomes [33]. The secreted factors mediate senescence in cells in the immediate vicinity, which could be detrimental to normal neighboring cells. They do so by blocking growth factor signaling and thereby contributing to the induction of senescence [36]. High levels of exosomes from senescent cells are able to modulate the cellular microenvironment. Exosomes are secreted by most cell types and interact with surrounding cells by introducing regulatory secreted factors or receptors, providing intercellular communication [97]. Exosomes participate in the traffic of protein, lipids, and RNAs to neighboring cells, which are necessary for the rapid phenotype variations.
Senescence is associated with the increased release of exosomes, as observed in normal human fibroblasts [98]. Senescence-associated exosomes were also observed to be released from human-senescent prostate cancer cells [61]. Exosomes released by EGFR-bearing tumor cells are taken up by neighboring endothelial cells and can accelerate the growth of the tumor cell [61]. These studies suggest that senescence-associated exosomes can transfer cargos with both immunoregulatory potential and genetic information and could influence the microenvironment. Several studies have conferred a supporting role for EVs in various diseases and could assist as diagnostic tools. The modulation of senescent cells, senescence-associated factors, and senescent EVs seems to be a promising strategy for mitigating age-related diseases [99]. Salient features of exosomes from young and aged individuals are explained in Table 1 and graphically represented in Figure 3.
Table 1.
Exosomes from Young Individual | Exosomes from Aged Individual |
---|---|
Normal levels of EV | Increased EV secretion |
Exosomes do not have an adverse effect on tissue microenvironment | Exosomes from senescent cells are detrimental to the tissue microenvironment |
Exosomal cargo do not result in any pathological changes | Exosomal cargo can mediate/accelerate pathological changes |
Normal expression of miRNAs and proteins | Differential expression of miRNAs and proteins could act as biomarkers for diagnosis of age-related pathologies |
11. EVs as Potential Diagnostic Markers and Therapeutic Tools for Age-Related Diseases
The EVs can act as biomarkers for various diseases, and they could also indicate the physiological state of the cell/tissue from which they were released. Exosomes are easily accessible in body fluids such as blood, plasma, and urine, making them attractive for use as biomarkers. EVs can also be a representation of the aged phenotype of the cells. EVs has been described as potential non-invasive biomarkers in cardiovascular and inflammatory diseases [100].
EVs from the bone marrow of aged mice have increased miR-96, miR-182, and miR-183, which are part of cluster miR-183. An miRNA-183-5p mimic was shown to increase senescence in bone marrow stem cells [101]. The miRNAs delivered by the EVs are found to be critical regulators in many pathological conditions compared to other cargo molecules such as proteins and lipids [12]. A pilot study on the possible role of salivary exosomal miRNAs as aging biomarkers revealed miR-24-3p to be a novel candidate. The target genes of miR-24-3p activate Mitogen Activated Protein Kinase (MAPK) signaling pathways involved in inflammatory cytokine and chemokine gene regulation [102]. With aging, the increased levels of miR-24-3p may contribute to increased susceptibility to age-dependent alterations in the immune and inflammatory status [103]. Previous studies have examined the relationship between miRNA profiles and aging. A clinical study reported that serum expression levels of miR-151a-3p, miR-181a-5p and miR-1248 were significantly lower in aged humans compared to those in young [104]. Yet another clinical study using serum samples identified five down-regulated miRNAs (miR-29b, miR-106b, miR-130b, miR-142-5p, and miR-340) and three up-regulated miRNAs (miR-92a, miR-222, and miR-375) with aging [105]. These studies support the notion that circulating miRNAs are useful as aging biomarkers. The sensitivity of miRNA amplification from biological fluids can be improved by exosomes isolation, thus making exosomal miRNAs a potential biomarker.
Urinary EVs could be used as biomarkers to identify diabetic nephropathy. Urinary EVs express high levels of C-megalin, which is an endocytic receptor, and they could serve as a potential biomarker [106]. The miRNA profiles of urinary EVs has identified the miR192 and miR-15 family to be differentially expressed, and they could serve as biomarkers.
Diabetic patients have been found to have increased levels of miR-15a-3p in the circulating exosomes isolated from their blood. The up-regulated miRNA was found to inhibit diabetic wound repair by activating the NADPH oxidase 5 (NOX5). The inhibition of circulating exosomal miR-15a-3p was found to accelerate diabetic wound repair and provides a novel target for treating diabetic foot ulcers [107].
EVs in patients with neurological disorders were found to have altered genetic cargo in the form of miRNAs and tau proteins, thus acting as disease biomarkers [108]. EVs were found to have increased levels of p181-tau and p231-tau in the blood of patients with preclinical Alzheimer’s disease [109]. Studies have found that miR-125a-5p, miR-23a-3p, and miR-375 were found to be differentially expressed and could act as biomarkers for Alzheimer’s disease [110]. Differentially expressed exosomal miRNAs as biomarkers for aging are detailed in Table 2.
Table 2.
Exosomal miRNA | Derived From | Function | Reference |
---|---|---|---|
miR-96, miR-182, miR-183 | Bone marrow | Increase senescence in bone marrow cells | [101] |
miR-24-3p | Saliva | Inflammatory cytokine and chemokine gene regulation | [102] |
miR-151a-3p, miR-181a-5p, miR-1258, miR-29b, miR-106b, miR-130b. miR-142-5p, miR-340 | Serum | Down-regulated with aging | [104] |
miR-92a, miR-222, miR-192 | Serum | Up-regulated with aging | [105] |
miR-15 | Urine | Differentially expressed in diabetic nephropathy | [106] |
miR-15a-3p | Blood | Up-regulated in diabetic patients | [107] |
miR-125a-5p, miR-23a-3p, miR-375 | Blood | Differentially expressed in Alzhemier’s Disease | [110] |
hsa-miR-203-3p, hsa-miR-4482-3p,hsa-miR-44366b-3p | COVID-19 patients | Target S protein involved in viral replication | [112] |
hsa-miR-190a-5p | COVID-19 patients | Target ORF6 involved in immune suppression | [112] |
Exosomes, owing to their low immunogenicity and other beneficial effects, could be utilized for therapeutics or as delivery vehicles. EVs from adipose-derived stem cells have been reported to improve metabolic homeostasis by inducing the production of anti-inflammatory cytokines [111]. Thus, EVs from stem cells might have the potential to improve glucose tolerance in diabetic individuals [111].
12. Role of Exosomes in COVID-19 Patients
COVID-19 diseases have by far affected the elderly population more than any other age group, and people over the age of 65 were found to be more susceptible to the infection (WHO COVID-19 dashboard). People with underlying conditions are prone to succumb to the complications compared to healthy individuals [113]. COVID-19 infections result in a multitude of damages in almost all organs—mainly in the lungs and heart.
Recently, researchers found that Angiotensin Converting Enzyme 2 (ACE2) serves as the receptor for the entry of coronavirus into the cells [114]. Studies also were conducted in elucidating the role played by exosomes in the spread of the virus. Exosomes were reported to transfer the ACE2 receptor to recipient cells, and this could also serve as a pathway for the virus internalization and infection. A study found that the components of viruses could be internalized and transferred via caveolin-1 dependent endocytosis or via other extracellular vesicles [115]. Exosomes from virus-infected cells were found to elicit immune response in non-infected cells. Understanding the molecular interactions of miRNA during host–virus interactions will help in the development of effective antiviral therapy. Studies have investigated the various host–cellular miRNAs that play critical roles in viral biogenesis, entrance, replication, and infection [112]. Increasing the levels of host miRNAs could block the entry and propagation of the virus. hsa-miR-203-3p and hsa-miR-4482-3p have been found to target the Spike (S) protein that plays a role in viral replication, whereas hsa-miR-3672 targets the Envelope (E) protein that affects viral envelope formation [112].
13. Future Perspectives and Conclusions
The varied nature of the molecules packaged and delivered by exosomes makes it a valuable biomarker for identifying and tracking disease progression and aging. Understanding the relation of aging process to age-related diseases is of great clinical importance for the development of novel therapeutic strategies. The crosstalk of exosomes from the senescent cells with the neighboring cells and its microenvironment has not been well understood. From the studies, it is clear that senescent cell-derived exosomes might be a potential target for age-related therapies and can be achieved by modulating their cargo, mainly miRNAs. Compared to other conventional treatments, the fact that exosomes are small, potent, and non-living makes them highly attractive bioactive molecules. Furthermore, exosomes have the additional advantage that these nanovesicles do not invoke an immune response and also could be used to develop personalized medicines.
Acknowledgments
This work is supported, in part, by the National Institutes of Health (NIH) grants HL116729 (to P.K.), HL138023 (to P.K. and J.Z.) and Transformational Project Award 19TPA34850100 (to P.K.). All authors contributed substantially to the work presented in this paper.
Author Contributions
Each named author has substantially contributed to drafting this review. P.K. conceptualized the review topic. S.S. and A.G.P. wrote the manuscript draft and P.K. revised it. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by National Institutes of Health (NIH) grants HL116729 (to P.K.), HL138023 (to P.K. and J.Z.) and Transformational Project Award 19TPA34850100 (to P.K.).
Conflicts of Interest
The named authors have no conflict of interest, financial or otherwise.
References
- 1.Abels E.R., Breakefield X.O. Introduction to Extracellular Vesicles: Biogenesis, RNA Cargo Selection, Content, Release, and Uptake. Cell. Mol. Neurobiol. 2016;36:301–312. doi: 10.1007/s10571-016-0366-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.van der Pol E., Coumans F.A.W., Grootemaat A.E., Gardiner C., Sargent I.L., Harrison P., Sturk A., van Leeuwen T.G., Nieuwland R. Particle size distribution of exosomes and microvesicles determined by transmission electron microscopy, flow cytometry, nanoparticle tracking analysis, and resistive pulse sensing. J. Thromb. Haemost. 2014;12:1182–1192. doi: 10.1111/jth.12602. [DOI] [PubMed] [Google Scholar]
- 3.Maas S.L.N., De Vrij J., Broekman M.L.D. Quantification and size-profiling of extracellular vesicles using tunable resistive pulse sensing. J. Vis. Exp. 2014:e51623. doi: 10.3791/51623. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Yu X., Odenthal M., Fries J.W.U. Exosomes as miRNA Carriers: Formation-Function-Future. Int. J. Mol. Sci. 2016;17:2028. doi: 10.3390/ijms17122028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Sagini K., Costanzi E., Emiliani C., Buratta S., Urbanelli L. Extracellular Vesicles as Conveyors of Membrane-Derived Bioactive Lipids in Immune System. Int. J. Mol. Sci. 2018;19:1227. doi: 10.3390/ijms19041227. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Colombo M., Raposo G., Théry C. Biogenesis, secretion, and intercellular interactions of exosomes and other extracellular vesicles. Annu. Rev. Cell Dev. Biol. 2014;30:255–289. doi: 10.1146/annurev-cellbio-101512-122326. [DOI] [PubMed] [Google Scholar]
- 7.van Niel G., D’Angelo G., Raposo G. Shedding light on the cell biology of extracellular vesicles. Nat. Rev. Mol. Cell Biol. 2018;19:213–228. doi: 10.1038/nrm.2017.125. [DOI] [PubMed] [Google Scholar]
- 8.Milane L., Singh A., Mattheolabakis G., Suresh M., Amiji M.M. Exosome mediated communication within the tumor microenvironment. J. Control. Release Off. J. Control. Release Soc. 2015;219:278–294. doi: 10.1016/j.jconrel.2015.06.029. [DOI] [PubMed] [Google Scholar]
- 9.Jabalee J., Towle R., Garnis C. The Role of Extracellular Vesicles in Cancer: Cargo, Function, and Therapeutic Implications. Cells. 2018;7:93. doi: 10.3390/cells7080093. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Matsuzaki J., Ochiya T. Extracellular microRNAs and oxidative stress in liver injury: A systematic mini review. J. Clin. Biochem. Nutr. 2018;63:6–11. doi: 10.3164/jcbn.17-123. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Alique M., Ramírez-Carracedo R., Bodega G., Carracedo J., Ramírez R. Senescent Microvesicles: A Novel Advance in Molecular Mechanisms of Atherosclerotic Calcification. Int. J. Mol. Sci. 2018;19:2003. doi: 10.3390/ijms19072003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Chen Y., Li G., Liu M.-L. Microvesicles as Emerging Biomarkers and Therapeutic Targets in Cardiometabolic Diseases. Genom. Proteom. Bioinform. 2018;16:50–62. doi: 10.1016/j.gpb.2017.03.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Yang S.-R., Park J.-R., Kang K.-S. Reactive Oxygen Species in Mesenchymal Stem Cell Aging: Implication to Lung Diseases. Oxid. Med. Cell. Longev. 2015;2015:e486263. doi: 10.1155/2015/486263. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Wolf P. The Nature and Significance of Platelet Products in Human Plasma. Br. J. Haematol. 1967;13:269–288. doi: 10.1111/j.1365-2141.1967.tb08741.x. [DOI] [PubMed] [Google Scholar]
- 15.Johnstone R.M., Adam M., Hammond J.R., Orr L., Turbide C. Vesicle formation during reticulocyte maturation. Association of plasma membrane activities with released vesicles (exosomes) J. Biol. Chem. 1987;262:9412–9420. [PubMed] [Google Scholar]
- 16.Meldolesi J. Exosomes and Ectosomes in Intercellular Communication. Curr. Biol. 2018;28:R435–R444. doi: 10.1016/j.cub.2018.01.059. [DOI] [PubMed] [Google Scholar]
- 17.Morelli A.E., Larregina A.T., Shufesky W.J., Sullivan M.L.G., Stolz D.B., Papworth G.D., Zahorchak A.F., Logar A.J., Wang Z., Watkins S.C., et al. Endocytosis, intracellular sorting, and processing of exosomes by dendritic cells. Blood. 2004;104:3257–3266. doi: 10.1182/blood-2004-03-0824. [DOI] [PubMed] [Google Scholar]
- 18.Llorente A., Skotland T., Sylvänne T., Kauhanen D., Róg T., Orłowski A., Vattulainen I., Ekroos K., Sandvig K. Molecular lipidomics of exosomes released by PC-3 prostate cancer cells. Biochim. Biophys. Acta. 2013;1831:1302–1309. doi: 10.1016/j.bbalip.2013.04.011. [DOI] [PubMed] [Google Scholar]
- 19.Laulagnier K., Grand D., Dujardin A., Hamdi S., Vincent-Schneider H., Lankar D., Salles J.-P., Bonnerot C., Perret B., Record M. PLD2 is enriched on exosomes and its activity is correlated to the release of exosomes. FEBS Lett. 2004;572:11–14. doi: 10.1016/j.febslet.2004.06.082. [DOI] [PubMed] [Google Scholar]
- 20.Amigorena S. Anti-tumour immunotherapy using dendritic-cell-derived exosomes. Res. Immunol. 1998;149:661–662. doi: 10.1016/S0923-2494(99)80035-2. [DOI] [PubMed] [Google Scholar]
- 21.Théry C., Regnault A., Garin J., Wolfers J., Zitvogel L., Ricciardi-Castagnoli P., Raposo G., Amigorena S. Molecular characterization of dendritic cell-derived exosomes. Selective accumulation of the heat shock protein hsc73. J. Cell Biol. 1999;147:599–610. doi: 10.1083/jcb.147.3.599. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Lundy S.K., Klinker M.W., Fox D.A. Killer B lymphocytes and their fas ligand positive exosomes as inducers of immune tolerance. Front. Immunol. 2015;6:122. doi: 10.3389/fimmu.2015.00122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Pegtel D.M., Peferoen L., Amor S. Extracellular vesicles as modulators of cell-to-cell communication in the healthy and diseased brain. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2014:369. doi: 10.1098/rstb.2013.0516. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Balaban R.S., Nemoto S., Finkel T. Mitochondria, oxidants, and aging. Cell. 2005;120:483–495. doi: 10.1016/j.cell.2005.02.001. [DOI] [PubMed] [Google Scholar]
- 25.Chung H.Y., Sung B., Jung K.J., Zou Y., Yu B.P. The molecular inflammatory process in aging. Antioxid. Redox Signal. 2006;8:572–581. doi: 10.1089/ars.2006.8.572. [DOI] [PubMed] [Google Scholar]
- 26.Akunuru S., Geiger H. Aging, Clonality, and Rejuvenation of Hematopoietic Stem Cells. Trends Mol. Med. 2016;22:701–712. doi: 10.1016/j.molmed.2016.06.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Saheera S., Nair R.R. Accelerated decline in cardiac stem cell efficiency in Spontaneously hypertensive rat compared to normotensive Wistar rat. PLoS ONE. 2017;12:e0189129. doi: 10.1371/journal.pone.0189129. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Chang J., Wang Y., Shao L., Laberge R.-M., Demaria M., Campisi J., Janakiraman K., Sharpless N.E., Ding S., Feng W., et al. Clearance of senescent cells by ABT263 rejuvenates aged hematopoietic stem cells in mice. Nat. Med. 2016;22:78–83. doi: 10.1038/nm.4010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Robbins P.D. Extracellular vesicles and aging. Stem Cell Investig. 2017:4. doi: 10.21037/sci.2017.12.03. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Bhasin S., Murabito J. Anti-Geronic Factors, GDF11 and Oxytocin, and Aging-Related Phenotypes. [(accessed on 26 August 2020)]; Available online: https://grantome.com/grant/NIH/R56-AG052972-01.
- 31.Idkowiak-Baldys J., Santhanam U., Buchanan S.M., Pfaff K.L., Rubin L.L., Lyga J. Growth differentiation factor 11 (GDF11) has pronounced effects on skin biology. PLoS ONE. 2019:14. doi: 10.1371/journal.pone.0218035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Smith L.K., He Y., Park J.-S., Bieri G., Snethlage C.E., Lin K., Gontier G., Wabl R., Plambeck K.E., Udeochu J., et al. β2-microglobulin is a systemic pro-aging factor that impairs cognitive function and neurogenesis. Nat. Med. 2015;21:932–937. doi: 10.1038/nm.3898. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Coppé J.-P., Desprez P.-Y., Krtolica A., Campisi J. The Senescence-Associated Secretory Phenotype: The Dark Side of Tumor Suppression. Annu. Rev. Pathol. 2010;5:99–118. doi: 10.1146/annurev-pathol-121808-102144. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Caliò A., Zamò A., Ponzoni M., Zanolin M.E., Ferreri A.J.M., Pedron S., Montagna L., Parolini C., Fraifeld V.E., Wolfson M., et al. Cellular Senescence Markers p16INK4a and p21CIP1/WAF Are Predictors of Hodgkin Lymphoma Outcome. Clin. Cancer Res. 2015;21:5164–5172. doi: 10.1158/1078-0432.CCR-15-0508. [DOI] [PubMed] [Google Scholar]
- 35.Mirzayans R., Andrais B., Hansen G., Murray D. Role of p16INK4A in Replicative Senescence and DNA Damage-Induced Premature Senescence in p53-Deficient Human Cells. Biochem. Res. Int. 2012;2012 doi: 10.1155/2012/951574. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Kadota T., Fujita Y., Yoshioka Y., Araya J., Kuwano K., Ochiya T. Emerging role of extracellular vesicles as a senescence-associated secretory phenotype: Insights into the pathophysiology of lung diseases. Mol. Asp. Med. 2018;60:92–103. doi: 10.1016/j.mam.2017.11.005. [DOI] [PubMed] [Google Scholar]
- 37.Baker D.J., Wijshake T., Tchkonia T., LeBrasseur N.K., Childs B.G., van de Sluis B., Kirkland J.L., van Deursen J.M. Clearance of p16Ink4a-positive senescent cells delays ageing-associated disorders. Nature. 2011;479:232–236. doi: 10.1038/nature10600. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.van Deursen J.M. The role of senescent cells in ageing. Nature. 2014;509:439–446. doi: 10.1038/nature13193. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Carracedo J., Alique M., Ramirez-Carracedo R., Bodega G., Ramirez R. Endothelial Extracellular Vesicles Produced by Senescent Cells: Pathophysiological Role in the Cardiovascular Disease Associated with all Types of Diabetes Mellitus. Curr. Vasc. Pharm. 2018 doi: 10.2174/1570161116666180820115726. [DOI] [PubMed] [Google Scholar]
- 40.Chambers S.M., Shaw C.A., Gatza C., Fisk C.J., Donehower L.A., Goodell M.A. Aging Hematopoietic Stem Cells Decline in Function and Exhibit Epigenetic Dysregulation. PLoS Biol. 2007;5:e201. doi: 10.1371/journal.pbio.0050201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Liu X., Kumagai G., Wada K., Tanaka T., Fujita T., Sasaki A., Furukawa K.-I., Ishibashi Y. Suppression of osteogenic differentiation in mesenchymal stem cells from patients with ossification of the posterior longitudinal ligament by a histamine-2-receptor antagonist. Eur. J. Pharm. 2017;810:156–162. doi: 10.1016/j.ejphar.2017.07.013. [DOI] [PubMed] [Google Scholar]
- 42.Shytikov D., Balva O., Debonneuil E., Glukhovskiy P., Pishel I. Aged Mice Repeatedly Injected with Plasma from Young Mice: A Survival Study. Biores. Open Access. 2014;3:226–232. doi: 10.1089/biores.2014.0043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Kornicka K., Houston J., Marycz K. Dysfunction of Mesenchymal Stem Cells Isolated from Metabolic Syndrome and Type 2 Diabetic Patients as Result of Oxidative Stress and Autophagy may Limit Their Potential Therapeutic Use. Stem Cell Rev. 2018;14:337–345. doi: 10.1007/s12015-018-9809-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Oh J., Lee Y.D., Wagers A.J. Stem cell aging: Mechanisms, regulators and therapeutic opportunities. Nat. Med. 2014;20:870–880. doi: 10.1038/nm.3651. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Lee J., Yoon S.R., Choi I., Jung H. Causes and Mechanisms of Hematopoietic Stem Cell Aging. Int. J. Mol. Sci. 2019;20:1272. doi: 10.3390/ijms20061272. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Cesselli D., Beltrami A.P., D’Aurizio F., Marcon P., Bergamin N., Toffoletto B., Pandolfi M., Puppato E., Marino L., Signore S., et al. Effects of age and heart failure on human cardiac stem cell function. Am. J. Pathol. 2011;179:349–366. doi: 10.1016/j.ajpath.2011.03.036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Cianflone E., Torella M., Chimenti C., De Angelis A., Beltrami A.P., Urbanek K., Rota M., Torella D. Adult Cardiac Stem Cell Aging: A Reversible Stochastic Phenomenon? [(accessed on 6 August 2020)]; doi: 10.1155/2019/5813147. Available online: https://www.hindawi.com/journals/omcl/2019/5813147/ [DOI] [PMC free article] [PubMed]
- 48.Tsiapalis D., O’Driscoll L. Mesenchymal Stem Cell Derived Extracellular Vesicles for Tissue Engineering and Regenerative Medicine Applications. Cells. 2020;9:991. doi: 10.3390/cells9040991. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Rani S., Ryan A.E., Griffin M.D., Ritter T. Mesenchymal Stem Cell-derived Extracellular Vesicles: Toward Cell-free Therapeutic Applications. Mol. Ther. 2015;23:812–823. doi: 10.1038/mt.2015.44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Lau A., Kennedy B.K., Kirkland J.L., Tullius S.G. Mixing old and young: Enhancing rejuvenation and accelerating aging. J. Clin. Investig. 2019;129:4–11. doi: 10.1172/JCI123946. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Liang Y., Van Zant G., Szilvassy S.J. Effects of aging on the homing and engraftment of murine hematopoietic stem and progenitor cells. Blood. 2005;106:1479–1487. doi: 10.1182/blood-2004-11-4282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Cupit-Link M.C., Arora M., Wood W.A., Hashmi S.K. Relationship between Aging and Hematopoietic Cell Transplantation. Biol. Blood Marrow Transpl. 2018;24:1965–1970. doi: 10.1016/j.bbmt.2018.08.015. [DOI] [PubMed] [Google Scholar]
- 53.Rozman J.-Z., Perme M.P., Jez M., Malicev E., Krasna M., Novakovic S., Vrtovec B., Rozman P. The effect of CD34+ cell telomere length and hTERT expression on the outcome of autologous CD34+ cell transplantation in patients with chronic heart failure. Mech. Ageing Dev. 2017;166:42–47. doi: 10.1016/j.mad.2017.06.001. [DOI] [PubMed] [Google Scholar]
- 54.Mozid A.M., Jones D., Arnous S., Saunders N., Wragg A., Martin J., Agrawal S., Mathur A. The effects of age, disease state, and granulocyte colony-stimulating factor on progenitor cell count and function in patients undergoing cell therapy for cardiac disease. Stem Cells Dev. 2013;22:216–223. doi: 10.1089/scd.2012.0139. [DOI] [PubMed] [Google Scholar]
- 55.Weilner S., Keider V., Winter M., Harreither E., Salzer B., Weiss F., Schraml E., Messner P., Pietschmann P., Hildner F., et al. Vesicular Galectin-3 levels decrease with donor age and contribute to the reduced osteo-inductive potential of human plasma derived extracellular vesicles. Aging. 2016;8:16–30. doi: 10.18632/aging.100865. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Fernandes M., Wan C., Tacutu R., Barardo D., Rajput A., Wang J., Thoppil H., Thornton D., Yang C., Freitas A., et al. Systematic analysis of the gerontome reveals links between aging and age-related diseases. Hum. Mol. Genet. 2016;25:4804–4818. doi: 10.1093/hmg/ddw307. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Onder G., Rezza G., Brusaferro S. Case-Fatality Rate and Characteristics of Patients Dying in Relation to COVID-19 in Italy. JAMA. 2020 doi: 10.1001/jama.2020.4683. [DOI] [PubMed] [Google Scholar]
- 58.CDC COVID-19 Response Team Severe Outcomes Among Patients with Coronavirus Disease 2019 (COVID-19)—United States, February 12-March 16, 2020. MMWR Morb. Mortal. Wkly. Rep. 2020;69:343–346. doi: 10.15585/mmwr.mm6912e2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Zhou F., Yu T., Du R., Fan G., Liu Y., Liu Z., Xiang J., Wang Y., Song B., Gu X., et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: A retrospective cohort study. Lancet. 2020;395:1054–1062. doi: 10.1016/S0140-6736(20)30566-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Pucci B., Kasten M., Giordano A. Cell Cycle and Apoptosis. Neoplasia. 2000;2:291–299. doi: 10.1038/sj.neo.7900101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Lehmann B.D., Paine M.S., Brooks A.M., McCubrey J.A., Renegar R.H., Wang R., Terrian D.M. Senescence-associated exosome release from human prostate cancer cells. Cancer Res. 2008;68:7864–7871. doi: 10.1158/0008-5472.CAN-07-6538. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Eitan E., Green J., Bodogai M., Mode N.A., Bæk R., Jørgensen M.M., Freeman D.W., Witwer K.W., Zonderman A.B., Biragyn A., et al. Age-Related Changes in Plasma Extracellular Vesicle Characteristics and Internalization by Leukocytes. Sci. Rep. 2017;7:1342. doi: 10.1038/s41598-017-01386-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Vingtdeux V., Sergeant N., Buée L. Potential Contribution of Exosomes to the Prion-Like Propagation of Lesions in Alzheimer’s Disease. Front. Physiol. 2012:3. doi: 10.3389/fphys.2012.00229. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Buzas E.I., György B., Nagy G., Falus A., Gay S. Emerging role of extracellular vesicles in inflammatory diseases. Nat. Rev. Rheumatol. 2014;10:356–364. doi: 10.1038/nrrheum.2014.19. [DOI] [PubMed] [Google Scholar]
- 65.Gomes de Andrade G., Reck Cechinel L., Bertoldi K., Galvão F., Valdeci Worm P., Rodrigues Siqueira I. The Aging Process Alters IL-1β and CD63 Levels Differently in Extracellular Vesicles Obtained from the Plasma and Cerebrospinal Fluid. Neuroimmunomodulation. 2018;25:18–22. doi: 10.1159/000488943. [DOI] [PubMed] [Google Scholar]
- 66.Boilard E., Nigrovic P.A., Larabee K., Watts G.F.M., Coblyn J.S., Weinblatt M.E., Massarotti E.M., Remold-O’Donnell E., Farndale R.W., Ware J., et al. Platelets amplify inflammation in arthritis via collagen-dependent microparticle production. Science. 2010;327:580–583. doi: 10.1126/science.1181928. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Sluijter J.P.G., Davidson S.M., Boulanger C.M., Buzás E.I., Kleijn D., Victor D.P., Engel F.B., Giricz Z., Hausenloy D.J., Kishore R., et al. Extracellular vesicles in diagnostics and therapy of the ischaemic heart: Position Paper from the Working Group on Cellular Biology of the Heart of the European Society of Cardiology. Cardiovasc. Res. 2018;114:19–34. doi: 10.1093/cvr/cvx211. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Abner E.L., Elahi F.M., Jicha G.A., Mustapic M., Al-Janabi O., Kramer J.H., Kapogiannis D., Goetzl E.J. Endothelial-derived plasma exosome proteins in Alzheimer’s disease angiopathy. FASEB J. 2020;34:5967–5974. doi: 10.1096/fj.202000034R. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Kim Y.S., Joh T.H. Microglia, major player in the brain inflammation: Their roles in the pathogenesis of Parkinson’s disease. Exp. Mol. Med. 2006;38:333–347. doi: 10.1038/emm.2006.40. [DOI] [PubMed] [Google Scholar]
- 70.Zhang G., Xia Y., Wan F., Ma K., Guo X., Kou L., Yin S., Han C., Liu L., Huang J., et al. New Perspectives on Roles of Alpha-Synuclein in Parkinson’s Disease. Front. Aging Neurosci. 2018:10. doi: 10.3389/fnagi.2018.00370. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Goetzl E.J., Mustapic M., Kapogiannis D., Eitan E., Lobach I.V., Goetzl L., Schwartz J.B., Miller B.L. Cargo proteins of plasma astrocyte-derived exosomes in Alzheimer’s disease. FASEB J. 2016;30:3853–3859. doi: 10.1096/fj.201600756R. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Alique M., Ruíz-Torres M.P., Bodega G., Noci M.V., Troyano N., Bohórquez L., Luna C., Luque R., Carmona A., Carracedo J., et al. Microvesicles from the plasma of elderly subjects and from senescent endothelial cells promote vascular calcification. Aging. 2017;9:778–789. doi: 10.18632/aging.101191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Abbas M., Jesel L., Auger C., Amoura L., Messas N., Manin G., Rumig C., León-González A.J., Ribeiro T.P., Silva G.C., et al. Endothelial Microparticles From Acute Coronary Syndrome Patients Induce Premature Coronary Artery Endothelial Cell Aging and Thrombogenicity: Role of the Ang II/AT1 Receptor/NADPH Oxidase-Mediated Activation of MAPKs and PI3-Kinase Pathways. Circulation. 2017;135:280–296. doi: 10.1161/CIRCULATIONAHA.116.017513. [DOI] [PubMed] [Google Scholar]
- 74.Murach K.A., McCarthy J.J. MicroRNAs, heart failure, and aging: Potential interactions with skeletal muscle. Heart Fail. Rev. 2017;22:209–218. doi: 10.1007/s10741-016-9572-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Villar A.V., García R., Merino D., Llano M., Cobo M., Montalvo C., Martín-Durán R., Hurlé M.A., Nistal J.F. Myocardial and circulating levels of microRNA-21 reflect left ventricular fibrosis in aortic stenosis patients. Int. J. Cardiol. 2013;167:2875–2881. doi: 10.1016/j.ijcard.2012.07.021. [DOI] [PubMed] [Google Scholar]
- 76.van Rooij E., Quiat D., Johnson B.A., Sutherland L.B., Qi X., Richardson J.A., Kelm R.J., Olson E.N. A Family of microRNAs Encoded by Myosin Genes Governs Myosin Expression and Muscle Performance. Dev. Cell. 2009;17:662–673. doi: 10.1016/j.devcel.2009.10.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Kuwabara Y., Ono K., Horie T., Nishi H., Nagao K., Kinoshita M., Watanabe S., Baba O., Kojima Y., Shizuta S., et al. Increased microRNA-1 and microRNA-133a levels in serum of patients with cardiovascular disease indicate myocardial damage. Circ. Cardiovasc. Genet. 2011;4:446–454. doi: 10.1161/CIRCGENETICS.110.958975. [DOI] [PubMed] [Google Scholar]
- 78.Bang C., Batkai S., Dangwal S., Gupta S.K., Foinquinos A., Holzmann A., Just A., Remke J., Zimmer K., Zeug A., et al. Cardiac fibroblast-derived microRNA passenger strand-enriched exosomes mediate cardiomyocyte hypertrophy. J. Clin. Investig. 2014;124:2136–2146. doi: 10.1172/JCI70577. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Liu X., Yuan W., Yang L., Li J., Cai J. miRNA Profiling of Exosomes from Spontaneous Hypertensive Rats Using Next-Generation Sequencing. J. Cardiovasc. Transl. Res. 2019;12:75–83. doi: 10.1007/s12265-017-9784-7. [DOI] [PubMed] [Google Scholar]
- 80.Noren Hooten N., Evans M.K. Extracellular vesicles as signaling mediators in type 2 diabetes mellitus. Am. J. Physiol. Cell Physiol. 2020;318:C1189–C1199. doi: 10.1152/ajpcell.00536.2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Freeman D.W., Noren Hooten N., Eitan E., Green J., Mode N.A., Bodogai M., Zhang Y., Lehrmann E., Zonderman A.B., Biragyn A., et al. Altered Extracellular Vesicle Concentration, Cargo, and Function in Diabetes. Diabetes. 2018;67:2377–2388. doi: 10.2337/db17-1308. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Salem E.S.B., Fan G.-C. Pathological Effects of Exosomes in Mediating Diabetic Cardiomyopathy. Adv. Exp. Med. Biol. 2017;998:113–138. doi: 10.1007/978-981-10-4397-0_8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Wu S.F., Noren Hooten N., Freeman D.W., Mode N.A., Zonderman A.B., Evans M.K. Extracellular vesicles in diabetes mellitus induce alterations in endothelial cell morphology and migration. J. Transl. Med. 2020;18:230. doi: 10.1186/s12967-020-02398-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Zampetaki A., Kiechl S., Drozdov I., Willeit P., Mayr U., Prokopi M., Mayr A., Weger S., Oberhollenzer F., Bonora E., et al. Plasma MicroRNA Profiling Reveals Loss of Endothelial MiR-126 and Other MicroRNAs in Type 2 Diabetes. Circ. Res. 2010;107:810–817. doi: 10.1161/CIRCRESAHA.110.226357. [DOI] [PubMed] [Google Scholar]
- 85.Davidson S.M., Riquelme J.A., Takov K., Vicencio J.M., Boi-Doku C., Khoo V., Doreth C., Radenkovic D., Lavandero S., Yellon D.M. Cardioprotection mediated by exosomes is impaired in the setting of type II diabetes but can be rescued by the use of non-diabetic exosomes in vitro. J. Cell. Mol. Med. 2018;22:141–151. doi: 10.1111/jcmm.13302. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Hu J., Wang S., Xiong Z., Cheng Z., Yang Z., Lin J., Wang T., Feng X., Gao E., Wang H., et al. Exosomal Mst1 transfer from cardiac microvascular endothelial cells to cardiomyocytes deteriorates diabetic cardiomyopathy. Biochim. Biophys. Acta Mol. Basis Dis. 2018;1864:3639–3649. doi: 10.1016/j.bbadis.2018.08.026. [DOI] [PubMed] [Google Scholar]
- 87.Heinrich L.F., Andersen D.K., Cleasby M.E., Lawson C. Long-term high fat feeding of rats results in increased numbers of circulating microvesicles with pro-inflammatory effects on endothelial cells. Br. J. Nutr. 2015;113:1704–1711. doi: 10.1017/S0007114515001117. [DOI] [PubMed] [Google Scholar]
- 88.Knebel B., Goeddeke S., Poschmann G., Markgraf D.F., Jacob S., Nitzgen U., Passlack W., Preuss C., Dicken H.-D., Stühler K., et al. Novel Insights into the Adipokinome of Obese and Obese/Diabetic Mouse Models. Int. J. Mol. Sci. 2017;18:1928. doi: 10.3390/ijms18091928. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Lehr S., Hartwig S., Lamers D., Famulla S., Müller S., Hanisch F.-G., Cuvelier C., Ruige J., Eckardt K., Ouwens D.M., et al. Identification and Validation of Novel Adipokines Released from Primary Human Adipocytes. Mol. Cell. Proteom. 2012:11. doi: 10.1074/mcp.M111.010504. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Flaherty S.E., Grijalva A., Xu X., Ables E., Nomani A., Ferrante A.W. A lipase-independent pathway of lipid release and immune modulation by adipocytes. Science. 2019;363:989–993. doi: 10.1126/science.aaw2586. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Jayabalan N., Lai A., Ormazabal V., Adam S., Guanzon D., Palma C., Scholz-Romero K., Lim R., Jansson T., McIntyre H.D., et al. Adipose Tissue Exosomal Proteomic Profile Reveals a Role on Placenta Glucose Metabolism in Gestational Diabetes Mellitus. J. Clin. Endocrinol. Metab. 2019;104:1735–1752. doi: 10.1210/jc.2018-01599. [DOI] [PubMed] [Google Scholar]
- 92.Ni Y.-Q., Lin X., Zhan J.-K., Liu Y.-S. Roles and Functions of Exosomal Non-coding RNAs in Vascular Aging. Aging Dis. 2020;11:164–178. doi: 10.14336/AD.2019.0402. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Arunachalam G., Upadhyay R., Ding H., Triggle C.R. MicroRNA Signature and Cardiovascular Dysfunction. J. Cardiovasc. Pharm. 2015;65:419–429. doi: 10.1097/FJC.0000000000000178. [DOI] [PubMed] [Google Scholar]
- 94.Iaconetti C., Polimeni A., Sorrentino S., Sabatino J., Pironti G., Esposito G., Curcio A., Indolfi C. Inhibition of miR-92a increases endothelial proliferation and migration in vitro as well as reduces neointimal proliferation in vivo after vascular injury. Basic Res. Cardiol. 2012;107:296. doi: 10.1007/s00395-012-0296-y. [DOI] [PubMed] [Google Scholar]
- 95.Liang X., Zhang L., Wang S., Han Q., Zhao R.C. Exosomes secreted by mesenchymal stem cells promote endothelial cell angiogenesis by transferring miR-125a. J. Cell Sci. 2016;129:2182–2189. doi: 10.1242/jcs.170373. [DOI] [PubMed] [Google Scholar]
- 96.Zhang X., Azhar G., Williams E.D., Rogers S.C., Wei J.Y. MicroRNA Clusters in the Adult Mouse Heart: Age-Associated Changes. Biomed. Res. Int. 2015;2015 doi: 10.1155/2015/732397. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Takasugi M., Okada R., Takahashi A., Chen D.V., Watanabe S., Hara E. Small extracellular vesicles secreted from senescent cells promote cancer cell proliferation through EphA2. Nat. Commun. 2017;8:15729. doi: 10.1038/ncomms15728. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Buratta S., Urbanelli L., Sagini K., Giovagnoli S., Caponi S., Fioretto D., Mitro N., Caruso D., Emiliani C. Extracellular vesicles released by fibroblasts undergoing H-Ras induced senescence show changes in lipid profile. PLoS ONE. 2017;12:e0188840. doi: 10.1371/journal.pone.0188840. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.La Marca V., Fierabracci A. Insights into the Diagnostic Potential of Extracellular Vesicles and Their miRNA Signature from Liquid Biopsy as Early Biomarkers of Diabetic Micro/Macrovascular Complications. Int. J. Mol. Sci. 2017;18:1974. doi: 10.3390/ijms18091974. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Khalyfa A., Gozal D. Exosomal miRNAs as potential biomarkers of cardiovascular risk in children. J. Transl. Med. 2014;12:162. doi: 10.1186/1479-5876-12-162. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Davis C., Dukes A., Drewry M., Helwa I., Johnson M.H., Isales C.M., Hill W.D., Liu Y., Shi X., Fulzele S., et al. MicroRNA-183-5p Increases with Age in Bone-Derived Extracellular Vesicles, Suppresses Bone Marrow Stromal (Stem) Cell Proliferation, and Induces Stem Cell Senescence. Tissue Eng. Part A. 2017;23:1231–1240. doi: 10.1089/ten.tea.2016.0525. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Lopez J.P., Fiori L.M., Cruceanu C., Lin R., Labonte B., Cates H.M., Heller E.A., Vialou V., Ku S.M., Gerald C., et al. MicroRNAs 146a/b-5 and 425-3p and 24-3p are markers of antidepressant response and regulate MAPK/Wnt-system genes. Nat. Commun. 2017;8:15497. doi: 10.1038/ncomms15497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Machida T., Tomofuji T., Ekuni D., Maruyama T., Yoneda T., Kawabata Y., Mizuno H., Miyai H., Kunitomo M., Morita M. MicroRNAs in Salivary Exosome as Potential Biomarkers of Aging. Int. J. Mol. Sci. 2015;16:21294–21309. doi: 10.3390/ijms160921294. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Noren Hooten N., Fitzpatrick M., Wood W.H., De S., Ejiogu N., Zhang Y., Mattison J.A., Becker K.G., Zonderman A.B., Evans M.K. Age-related changes in microRNA levels in serum. Aging. 2013;5:725–740. doi: 10.18632/aging.100603. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Zhang H., Yang H., Zhang C., Jing Y., Wang C., Liu C., Zhang R., Wang J., Zhang J., Zen K., et al. Investigation of microRNA expression in human serum during the aging process. J. Gerontol. A Biol. Sci. Med. Sci. 2015;70:102–109. doi: 10.1093/gerona/glu145. [DOI] [PubMed] [Google Scholar]
- 106.Ranghino A., Dimuccio V., Papadimitriou E., Bussolati B. Extracellular vesicles in the urine: Markers and mediators of tissue damage and regeneration. Clin. Kidney J. 2015;8:23–30. doi: 10.1093/ckj/sfu136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Xiong Y., Chen L., Yu T., Yan C., Zhou W., Cao F., You X., Zhang Y., Sun Y., Liu J., et al. H Inhibition of circulating exosomal microRNA-15a-3p accelerates diabetic wound repair. Aging. 2020;12:8968–8986. doi: 10.18632/aging.103143. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Hill A.F. Extracellular Vesicles and Neurodegenerative Diseases. J. Neurosci. 2019;39:9269–9273. doi: 10.1523/JNEUROSCI.0147-18.2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Eren E., Hunt J.F.V., Shardell M., Chawla S., Tran J., Gu J., Vogt N.M., Johnson S.C., Bendlin B.B., Kapogiannis D. Extracellular vesicle biomarkers of Alzheimer’s disease associated with sub-clinical cognitive decline in late middle age. Alzheimers Dement. J. Alzheimers Assoc. 2020 doi: 10.1002/alz.12130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Nie C., Sun Y., Zhen H., Guo M., Ye J., Liu Z., Yang Y., Zhang X. Differential Expression of Plasma Exo-miRNA in Neurodegenerative Diseases by Next-Generation Sequencing. Front. Neurosci. 2020:14. doi: 10.3389/fnins.2020.00438. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Akbar N., Azzimato V., Choudhury R.P., Aouadi M. Extracellular vesicles in metabolic disease. Diabetologia. 2019;62:2179–2187. doi: 10.1007/s00125-019-05014-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Demirci M.D.S., Adan A. Computational analysis of microRNA-mediated interactions in SARS-CoV-2 infection. [(accessed on 26 August 2020)];bioRxiv. 2020 doi: 10.1101/2020.03.15.992438. Available online: https://www.biorxiv.org/content/10.1101/2020.03.15.992438v1.full. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Daoust J.-F. Elderly people and responses to COVID-19 in 27 Countries. PLoS ONE. 2020;15:e0235590. doi: 10.1371/journal.pone.0235590. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Zhang H., Penninger J.M., Li Y., Zhong N., Slutsky A.S. Angiotensin-converting enzyme 2 (ACE2) as a SARS-CoV-2 receptor: Molecular mechanisms and potential therapeutic target. Intensive Care Med. 2020;46:586–590. doi: 10.1007/s00134-020-05985-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Owczarek K., Szczepanski A., Milewska A., Baster Z., Rajfur Z., Sarna M., Pyrc K. Early events during human coronavirus OC43 entry to the cell. Sci. Rep. 2018;8:7124. doi: 10.1038/s41598-018-25640-0. [DOI] [PMC free article] [PubMed] [Google Scholar]