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International Journal of Bioprinting logoLink to International Journal of Bioprinting
. 2020 Aug 28;6(4):302. doi: 10.18063/ijb.v6i4.302

Engineering a Model to Study Viral Infections: Bioprinting, Microfluidics, and Organoids to Defeat Coronavirus Disease 2019 (COVID-19)

Anastasia Shpichka 1,2,*, Polina Bikmulina 1,, Maria Peshkova 1,, Nastasia Kosheleva 3,4, Irina Zurina 1,3, Ensieh Zahmatkesh 5,6, Niloofar Khoshdel-Rad 5,6, Marina Lipina 7, Elena Golubeva 2, Denis Butnaru 8, Andrei Svistunov 8, Massoud Vosough 5,6,*, Peter Timashev 1,2,9,*
PMCID: PMC7557357  PMID: 33089000

Abstract

While the number of studies related to severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) is constantly growing, it is essential to provide a framework of modeling viral infections. Therefore, this review aims to describe the background presented by earlier used models for viral studies and an approach to design an “ideal” tissue model for SARS-CoV-2 infection. Due to the previous successful achievements in antiviral research and tissue engineering, combining the emerging techniques such as bioprinting, microfluidics, and organoid formation are considered to be one of the best approaches to form in vitro tissue models. The fabrication of an integrated multi-tissue bioprinted platform tailored for SARS-CoV-2 infection can be a great breakthrough that can help defeat coronavirus disease in 2019.

Keywords: Severe acute respiratory syndrome-related coronavirus 2, Coronavirus disease 2019, Coronavirus, Bioprinting, microfluidics, Organoids, Tissue models, Viral infection, Body-on-a-chip

1 Introduction

Severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) that causes coronavirus disease 2019 (COVID-19) has become a great challenge for not only separate populations but also the whole mankind[1]. This new pathogen has almost conquered the world due to the lack of knowledge of COVID-19 pathogenesis and the absence of any vaccines or approved therapy[2].

The use of models enables the possibility to learn more about SARS-CoV-2 and infection-related conditions and to screen drugs and vaccines efficiently. Unfortunately, the number of approved models is limited, and researchers have to mainly rely on the past experience related to other viruses (SARS-CoV, Middle East respiratory syndrome coronavirus [MERS-CoV], influenza A virus [IAV], etc.) to develop new relevant models.

Models based on susceptible animals (ferrets[3,4], rhesus and cynomolgus macaques[5,6], transgenic mice[7], etc.) are highly demanded in investigations to study SARS-CoV-2 pathogenesis as well as clinical signs, and test drugs and vaccines as a part of the trials. However, high costs, virus species specificity, and ethical issues do not allow their use as a routine model. Hence, cell-based models can be a good option for screening and precise analysis of molecular pathways of COVID-19 pathogenesis. However, 2D cultures cannot provide biomimetic environment that can significantly influence virus spreading, infectivity, and drug efficiency. Therefore, 3D tissue models are of particular interest. To date, there is only one 3D model which is presented by organoids and used for studying SARS-CoV-2 infection[8]. Due to the past experience, its combination with 3D bioprinting and microfluidics, and fabrication of a multi-tissue integrated platform can help create a responsive and efficient immune-competent organism-like system tailored for SARS-CoV-2 infection (Figure 1).

Figure 1.

Figure 1

Bioprinting, microfluidics, and organoids as tools to defeat coronavirus disease 2019.

Thus, this review aims to describe the background of previously used models for viral studies and an approach to design an “ideal” tissue model to study SARS-CoV-2 infection.

The main advantages of each technique and thus, their combination can allow the fabrication of a highly responsive immune-competent organism-like platform which is tailored for SARS-CoV-2 infection and enable real-time and high-throughput screening.

2 Modeling viral infections

2.1 Humans

Nowadays, humans are not a typical object to model viral infections that is mainly caused by ethical issues. However, there is a pool of studies describing controlled human infection (CHI) trials on influenza viruses, respiratory syncytial virus (RSV), etc. For instance, the CHI model was used to assess susceptibility and resistance to Norwalk virus infection[9]. DeVincenzo et al. experimentally infected adult volunteers with wild-type RSV (it usually infects children) and showed that viral load can significantly influence the disease manifestation and its variation permit achieving the manifestation similar to natural infection[10]. Such controllable adult RSV infection model was claimed to be useful for proof-of-concept trials of antivirals candidates. Human challenge model provided valuable data on immune response to influenza infection[11-14]. Particularly, Huang et al.[14] revealed that antibody-secreting cells are virus-specific and can be the earliest marker of new influenza infection. In the case of especially dangerous infections (Ebola virus, Zika virus, yellow fever virus, etc.), CHI trials are significantly limited and almost cannot be performed. The significant efforts have been carried out to develop a dengue human infection model which has minimum harm and represents wild-type infection[15]. Hence, if such infection occurs naturally, blood, mucosa, urine, stool, tissue biopsies, etc., can serve as appropriate materials for studying lifecycle, entry, and pathogenesis of virus, and drug efficacy.

Usually, humans are involved in clinical trials of actively developed vaccines and phage-based drugs. Particularly, a novel dengue vaccine was tested using the DEN2Δ30 model[16]. Moreover, CHI models have enabled the development of the first vaccines against the influenza virus[17] and the first anti-influenza drug, amantadine[18], and other antivirals[19-23]. Phage-based drugs are particularly interesting as a therapeutic agent to treat multidrug-resistant bacteria, such as Staphylococcus aureus or Pseudomonas aeruginosa[24,25], and to modify microbiota to decrease specific microbial populations[26].

2.2 Animals

Animals are widely applied to study viral infections and antivirals. Among them, rodent models are the most common, especially used in studies to reveal features of respiratory diseases caused by IAV and RSV[27,28]. Their advantages include the possibility to use standardized animals that allow comparison and analysis of data obtained from different experiments. They are well-characterized and can be easily modified to delete particular genes or transfer them from other species that enables the extrapolation of results and detection of virus targets and pathogenesis. For instance, type-I interferon receptor-deficient mice were engineered and used to study the Zika virus entry process[29]. Moreover, handling rodents are easy and low-cost; they reproduce rapidly, have small sizes, can accustom to standard diet, and do not require much space. However, their use is limited because of species-determined differences in anatomy, pathophysiology, immune response[27], and host-determined virus infectivity[28].

Another well-established animal model is ferrets, which are susceptible to most human respiratory viruses[3,4,28,30]. Their respiratory tract is very similar to human’s, and they manifest a wide range of clinical signs[31]. Therefore, they have become a good model to test antiviral drugs. Particularly, using them, the efficacy of lopinavir-ritonavir, hydroxychloroquine sulfate, and emtricitabine-tenofovir was proven for SARS-CoV-2 treatment[3]. Nevertheless, ferret models have many limitations which include the lack of standardized strains, detailed molecular profiling, and higher handling and housing costs.

Interestingly, there is a pool of studies describing domestic animals, such as cats and dogs, as a viral model. For instance, a recent study has shown that cats are susceptible to human SARS-CoV-2[4]. Such findings provide novel insights into virus targets and its lifecycle. However, cat and dog models have similar issues as ferret ones as well as ethical concerns.

Cattle, sheep, and pigs are also used to study human viruses. Particularly, sheep and cattle are susceptible to RSV and have human-like virus spreading due to similar sizes[27]. The application of such models is limited by high handling and housing costs and biosafety considerations (e.g., pigs can be a reservoir for the reassortment and transgenic shift of influenza viruses).

The animal model closest to humans is, undoubtedly, primates that have similar genetic, anatomical, and physiological features. For instance, RSV infection of chimpanzees has all symptoms and complications (inflammation, acute respiratory distress syndrome, lung edema, etc.) that are typical in humans[32,33]. Primates are perfect candidates for preclinical studies of vaccines[27]. Despite all of the mentioned advantages, they cannot be treated as a routine viral model due to extensive economic, ethical, and logistical burdens.

However, in general, virus strains are highly selective and host-specific; therefore, only a subset of data can be extrapolated to humans. Phylogenetically close viruses often have different hosts and targets, and these viruses also cause different pathophysiologic conditions. Some drugs, whose efficacy was confirmed using animal models, failed in clinical trials[34]. One of the approaches to overcome these issues is humanization. Humanized animals (usually mice) have specific human expression profiles and are immunodeficient due to the mutation caused by severe combined immunodeficiency. They are widely used to model human immunodeficiency viruses (HIV), herpesviruses, cytomegaloviruses, dengue virus, Epstein-Barr virus, and Ebola virus infections[35,36]. However, such models require expensive specific handling and housing and are not flexible to study different viral infections.

2.3 Tissue models

Compared to the above-mentioned models, tissue models can be considered as the most flexible and ethically humane tools to study viral infections. While designing such models, a researcher can use different cell types, biomaterials, and fabrication methods (including bioprinting) that can work with a wide range of host-specific viruses. Studying viruses in vitro under controllable conditions allow better understanding of host-pathogen interactions and high-throughput screening of drug candidates.

All tissue models can be divided into three types with ten subtypes: 2D models (monolayer culture of cell lines and primary cells), 2.5D models (suspension culture using microcarriers and simple air-liquid biointerfaces), and 3D models (explants, organoids/spheroids, embedded cells, cell-seeded scaffolds, bioprinted constructs, and combined systems [organ-on-a chip]).

Monolayer (2D) cultures are the oldest and the most widely used model. Cell lines are usually applied to isolate viruses, develop new serological assays, and produce diagnostic reagents or vaccines. The current “gold-standard” cell line is Vero, an interferon-deficient aneuploid line of kidney epithelial cells[37,38]. A549 and Madin–Darby canine kidney cell lines are mostly applied for influenza viruses[39].The most common cell line for the foot-and-mouth disease virus is the mammalian baby hamster kidney cells[40] which have been used since 1964[41]. Compared to cell lines, primary cell cultures have some advantages. For instance, cells isolated from ovine pulmonary adenocarcinoma are a unique platform to reveal mechanisms of epithelial transformation in a case of the lung cancer caused by the retrovirus infection[42]. Despite of the availability of cell variety and easy handling and scaling, 2D cultures are not capable of recapitulating fully cell-cell and cell-matrix interactions.

Suspension culture is also the oldest model for viral infections and very common for the industrial production of diagnostic reagents, vaccines, etc., due to a simple scaling procedure[40] V. However, it was significantly improved by adding microcarriers – small particles of a cell adhesive substrate (e.g., Cytodex 3). Such method modification was approved for the production of a RSV vaccine[43] and research on virus-host interactions[44].

Compared to 2D ones, 3D models are highly attractive because they are more relevant to the conditions in vivo (Figure 2). Such models can be fabricated through various approaches and were approved for different viruses (Table 1). The most common technique to form 3D tissue models is cell or spheroid/organoid encapsulation (embedding).

Figure 2.

Figure 2

Viral infection: 2D versus 3D tissue models.

Table 1.

3D tissue models used to study various viral infections.

Virus Tissue model Outcomes Ref.

Cells Biomaterial Fabrication method
Respiratory viruses
 SARS-CoV-2 Organoids from iPSCs and hESCs Matrigel, collagen Cultivation in non-adhesive well plates • Blood vessel and human kidney organoids were susceptible to SARS-CoV-2 [8]
• Viral infection can be blocked by hrsACE2
 FCoV BHK-21 Microfluidic chip • Virus entry caused by binding to specific receptors, protease-induced priming, and low-pH [62]
• Kinetic rate parameters for the virus fusion were quantitatively measured
 MERS-CoV hPIECs and their organoids, small intestine explants Matrigel Encapsulation • Tissue models were successfully infected by the virus [49]
 RSV Organoids from basal cells, multi-ciliated cells, and secretory cells Basement membrane extract Encapsulation • RSV induced organoid cell motility through NS2 protein [45]
 RSV Organoids from hPSCs Matrigel Encapsulation • Lung bud organoids were representable and susceptible to the viral infection [46]
 IAV (H1N1 and H3N2) hPSAECs Chitosan-collagen scaffold Air-liquid interface • 3D model’s morphology was similar to in vivo condition [39]
• 3D model had high aquaporin-5 and cytokeratin-14 expression
• After being infected, cells had significant changes in marker protein expression and released pro-inflammatory cytokines
 IAV A549 Alginate, gelatin, Matrigel Extrusion bioprinting • The model was highly susceptible to the infection and represented the pattern similar to in vivo condition [71]
• A high level of IL-29 (interferon λ1) was released
 IAV (H1N1 PR8) A549, HeLa Inkjet bioprinting • Geometric heterogeneity influenced on cell susceptibility to the virus [55]
Hepatotrophic viruses
 HCV Huh7 Cytodex-3 microcarrier beads Cultivation in a rotating wall vessel bioreactor • The phenotype of cells cultured in 3D were more hepatocyte-like [72]
• 3D model is susceptible to HCV infection
 HCV Huh7 Matrigel Encapsulation • Embedded cells were polarized and formed interconnected proto-bile canaliculi structures [73]
• They were easily infected by the virus and synthetized infective viral particles
 HCV Huh7 Mebiogel Encapsulation • Spheroids remained viable for 63 days and could be infected by the virus [74]
Hepatotrophic viruses
 HBV hPH Collagen-coated polystyrene scaffolds Microfluidic chip • The 3D model was susceptible to infection and remained viable for up to 40 days [75]
• It reproduced all steps of the viral lifecycle observed in vivo
Herpesviruses
 HSV-1 Human abdominal skin explant Microneedle pretreatment • The virus infection model was developed [67]
• Infection-induced changes in histology and protein expression were revealed
• Efficacy of pritelivir and acyclovir was similar
 HSV-1 iPSC Matrigel Cultivation in Matrigel coated well plates • IC50 of acyclovir in 2D cultures was lower than that in 3D cultures [69]
 HSV-2 hNVECs Air-liquid interface • HNVECs and their spheres had normal morphology and expressed epithelial markers [68]
• The hNVEC sphere-based model was permissive for the infection and representative for virus-induced pathological changes
 HCMV PSCs Basement membrane extract Cultivation in coated well plates • The salivary epithelial model was developed and susceptible to the virus infection [76]
• The virus in lytic phase did not spread within the model and remained only in some cells.
 HCMV Organoids from iPSCs Matrigel Cultivation in non-adhesive well plates; encapsulation • Infection disrupted the activity of purinergic receptors and voltage-gated calcium channels, causing a decrease in basal calcium levels [70]
• The virus disintegrated organoids, leading to insensitivity to response on stimulation
 HCMV HFF Collagen Encapsulation in mini-construct chambers • The cumulative tissue contractile force was decreased due to actin microfilament disruption [77]
 VZV NHNP Cultispher microcarrier beads Cultivation in a rotating wall vessel bioreactor • The model remained viable for 180 days and expressed markers of human trigeminal ganglia [78]
• It was susceptible to the viral infection and could be maintained in long-term experiments
Human immunodeficiency virus
 HIV-1 Primary human CD4+ T-lymphocytes Collagen Encapsulation • The integrated spatial model was developed [52]
• Environment significantly influenced the transmission way
• Cell motility and density determined the efficiency and way of the virus distribution

BHK-21: Baby hamster kidney-21, EBV: Epstein–Barr virus, FCoV: Feline coronavirus, HBV: Hepatitis B virus, HCMV: Human cytomegalovirus, HCV: Hepatitis C virus, hESCs: Human embryonic stem cells, HFF: Human foreskin fibroblasts, HIV-1: Human immunodeficiency virus-1, hNVECs: Human normal vaginal epithelial cells, hPH: Human primary hepatocytes, hPIECs: Human primary intestinal epithelial cells hPSAECs: Human primary small airway epithelial cells, hPSCs: Human pluripotent stem cells, hrsACE2: human recombinant soluble angiotensin converting enzyme 2, HSV-1: Herpes simplex virus-1, HSV-2: Herpes simplex virus-2, IAV: Influenza A virus, iPSCs: Induced pluripotent stem cells, MERS-CoV: Middle East respiratory syndrome-related coronavirus, NHNP: Normal human neural progenitor cells (NHNP), PSCs: Primary salivary cells, RSV: Respiratory syncytial virus, Ref: references, SARS-CoV-2: Severe acute respiratory syndrome-related coronavirus 2

Organoids and spheroids can establish cell-cell and cell-matrix interactions and are genotypically and phenotypically stable[45]. They were shown to be an efficient model to study virus infectivity and host-pathogen interaction[46-48]. For instance, using intestinal organoids, Zhou et al. confirmed that MERS-CoV might infect the gastrointestinal tract[49].

Explant cultures can also be used in studying viral infections. Their main advantage is that they are native tissues with relevant morphology. However, their application is significantly limited because of low availability and shortage of donor materials, short viability, and rapid necrosis[50].

Scaffold- and hydrogel-based models can provide a 3D microenvironment that mimics conditions in vivo for cells. Biomaterials that ensure necessary cell-matrix interactions and appropriate spatiotemporal surrounding cells are used to form a structure of such models. It was shown that they could ensure physiologically relevant cell responses to virus infection and drugs[39,51]. For instance, Bhowmick et al.[39] revealed that compared to monolayer culture, the 3D chitosan-collagen-based cell model had the native airway epithelium-like morphology and high expression and release of pro-inflammatory cytokines and chemokines after IAV infection. The virus expression in such conditions has been shown to be higher. Particularly, Archer et al.[42] found out that compared to monolayer cultures, cultures of tumor-derived alveolar type II cells on a surface coated with fibronectin and collagen type I or Matrigel exhibited efficient maintenance of reverse transcriptase activity and stable expression of Jaagsiekte sheep retrovirus. Moreover, biomaterials have been shown to significantly influence virus spreading ability and even determine its mode. For instance, Imle et al.[52] revealed that cell-laden collagen gel significantly limited the transmission of cell-free HIV and shifted it to cell-associated transmission. To fabricate complex tissue-like constructs, bioprinting is a good option[53], and bioprinted models were shown not only to be susceptible to viruses but also to recapitulate virus-associated morphological patterns similar to in vivo[54,55].

Microfluidic-based tissue models additionally allow mimicking air and fluid flows typical to in vivo conditions. Organ-on-a-chip systems consisting of various cell types, perfusion chambers, air-liquid interfaces, etc., mimic and create physiological conditions relevant to viral infection of native tissues. Microfluidic-based tissue models have many advantages. Particularly, microfluidics enables liquid handling at a microscale through a system of microchannels; therefore, the total consumption of reagents is relatively low that makes high-throughput screening easier and cheaper[56]. Such models are flexible to be automated[57,58], providing the possibility for real-time monitoring[59,60]. Moreover, they allow culturing cells in physiologically relevant dynamic conditions and controlling them[61]. Particularly, such system was tested to study the mechanism of the fusion of feline coronavirus with host cell membrane[62].

3 In vitro tissue models for modeling an infection caused by different viruses

3.1 Respiratory viruses

Tissue models that are used to study respiratory viral infections vary and include both monolayer cultures and functional airway organoids, enabling to obtain reliable data on virus infectivity, targets, and drug efficacy. Coronaviruses, a group of respiratory viruses, mostly infect epithelial cells that are used in designing relevant 3D models. The recent studies are based on organoids as a tissue model. For instance, Monteil et al.[8] revealed the efficacy of human recombinant soluble angiotensin-converting enzyme 2 against SARS-CoV-2 using infected blood vessel and kidney organoids. Moreover, intestinal organoids were used to prove that the intestine is a target organ for MERS-CoV[49]. Study of IAV using monolayer cultures fails to recapitulate the natural clustered pattern of disease transmission, but bioprinted 3D model was shown to be more relevant[54]. Using bioprinting, it was revealed that even geometrical position can significantly influence cell susceptibility to the virus[55]. Screening of drugs against RSV infection and detecting its pathogenesis was also successfully performed using airway and lung bud organoids[46,47].

3.2 Hepatotropic viruses

The hepatotropic viruses include different types and hepatitis A, B, C, D, and E viruses, which are the most common causes of viral hepatitis leading to liver failure worldwide[63]. Hepatitis B virus (HBV) and hepatitis C virus (HCV) induce chronic liver inflammation that results in cirrhosis and hepatocellular carcinoma[64]. Cell polarity and micro-environmental complexity and interactions are absent in 2D culture systems. Due to the drawbacks of 2D model systems, researchers are looking for alternative 3D models. The establishment of 3D models including spheroids, organoids with multi-cellular structures, and their specific extracellular matrix (ECM), was shown to exhibit higher tissue-specific environmental complexity, more mature cells, and better physiological functionality compared to simple 2D counterparts. For instance, several studies established liver spheroid models to study the hepatotrophic virus lifecycle in liver tissue. Chong et al. generated primary human hepatocyte spheroids from uninfected liver resections and inoculated the spheroids with HCV-positive serum[65]. Data showed that spheroids have differentiated phenotype and expressed putative HCV receptors; the HCV RNA was detected in the cells as well as supernatant of culture media[65]. Moreover, Nie et al. used a coculture system of human induced pluripotent stem cell (hiPSC)-derived endoderm, human umbilical vein endothelial cells, and mesenchymal stem cells in a 3D microwells to assess the potential of liver organoids for HBV infection and virus-host interactions[66]. The cells self-organized and differentiated into the functional liver organoids. Then, organoids were infected with the HBV genome. The liver organoids exhibited more functionality and higher susceptibility to HBV infection compared to human iPSC-derived 2D hepatic-like cells. These organoids could sustain HBV propagation and produce infectious virus up to 20 days. HBV infection decreased the expression of hepatic-specific genes and increased the expression of early biomarkers for acute liver failure, alanine aminotransferase, and lactate dehydrogenase in the supernatant of infected organoids. The advantage of hiPSC-derived 3D liver organoids was that they provided HBV infection models for precision medicine[66]. In addition, other cell culture models including, specific scaffold embedded cells and single-channel microfluidic devices are promising platforms in vitro models to study hepatotropic viruses[63].

3.3 Herpesviruses

Epithelial tissue is the initial site of infection for most herpesviruses. Although they cause latent infection mainly in neurons, they are still able to infect other cells. Therefore, there are numerous tissue models available, which include various cell types to study this virus group. For example, Tajpara et al. developed a model based on the microneedle-pretreated human abdominal skin explant to test antivirals and their combinations against human simplex virus (HSV-1) infection[67]. Zhu et al. fabricated 3D air-liquid interface culture consisting of human normal vaginal epithelial cells to describe viral transmission of HSV-2 and related pathological changes[68]. To study viral effects on neural tissue and acyclovir efficacy, D’Aiuto et al. proposed a scaffold-free 3D hiPSC-based neuronal model and showed that the IC50 of acyclovir in 2D cell cultures was lower than that in 3D culture[69]. Sison et al. also used iPSCs to fabricate cortical organoids to study human cytomegalovirus infection and revealed the organoid structure disruption and alterations in specific markers expression[70].

3.4 HIV

HIV infection is one the most difficult infections to study due to high selectivity and host specificity. HIV mainly infects immune cells, and the recent study has offered a novel efficient 3D model based on CD4+ T-lymphocytes[52]. By varying density of collagen gel embedding cells, Imle et al. evaluated the virus transmission and revealed that it can be significantly influenced by 3D environment.

4 Designing an “ideal” tissue model to study SARS-CoV-2 infection

4.1 Models and their limitations

To date, there is only a limited number of models available to study the SARS-CoV-2 infection. The most susceptible animals to this coronavirus are ferrets[3,4], cats[4], and rhesus and cynomolgus macaques[5,6]. The latter is considered to be a rapidly established SARS-CoV-2 model without any additional modifications[6]. Rhesus macaques were successfully applied to test siRNA to treat and prevent SARS-CoV infection[79]. Moreover, transgenic mice expressing human ACE2 can become a great option as ACE2 is one of the main SARS-CoV-2 targets[7]. Nevertheless, almost all animal models are expensive and do not allow researchers to fully overcome species specificity for such host-specific virus as well as their use is limited because of ethical issues.

Cell-based models are a good alternative to animal models. Particularly, Vero cell line cultured in 2D conditions was used for anti-SARS-CoV-2 drug screening[80]. However, the main limitation of such cell lines is the deficiency of interferon, which is an important regulator of binding proteins involved in SARS-CoV-2 infection[81]. This requires the use of other cell types and biofabrication methods that would better recapitulate in vivo conditions, including 3D environment, flows dynamics, and immune response. Moreover, blood vessel and human kidney organoids are still the only 3D models used to study SARS-CoV-2 infection[8].

4.2 Specific targets

Despite SARS-CoV-2 is a novel virus infecting humans, understanding of its possible entry mechanisms was already pre-defined because of earlier studies on other coronaviruses, for example, SARS-CoV[82-85]. Therefore, after its appearance, most research teams have been focusing on SARS-CoV receptor ACE2 and other related enzymes. Particularly, Hoffmann et al.[86] proved that the entry of SARS-CoV-2 into a cell occurs due to binding of the viral surface spike glycoprotein (S protein) to ACE2 and its priming by the transmembrane protease serine protease 2 (TMPRSS2). Zang et al. also revealed that the transmembrane protease serine protease 4 plays a crucial role in virus entry using human small intestinal enteroids as a model[87].

Actually, the entry mechanisms are considered the main targets for designing drugs treating and preventing COVID-19. Hence, their inhibition can block the infection that was proven to be true in several studies. For instance, Monteil et al. showed that human recombinant ACE2 prevented the virus entry into cells that form blood vessel and kidney organoids[8]. Hoffmann et al. revealed that Camostat mesylate, a serine protease inhibitor, blocked SARS-CoV-2 infection in lung cell line Calu-3[86].

These target enzymes, i.e., ACE2 and TMPRSS2, are widely expressed by tissues in human organisms. ACE2 is a monocarboxypeptidase that regulates the peptide cleavage in the renin-angiotensin system, and high levels of its expression could be found in alveolar epithelial type II cells, esophagus keratinocytes, small intestine, ileum and rectum enterocytes, stomach epithelial cells, colon colonocytes, liver cholangiocyte, arterial and venous endothelial cells, arterial smooth muscle cells, myocardial cells, sustentacular cells of the olfactory epithelium, spermatogonia and Leydig and Sertoli cells, prostate epithelial cells, bladder urothelial cells, and kidney proximal tubules cells[88-94]. TMPRSS2 regulating viral uptake by S protein priming is highly expressed by sustentacular cells of the olfactory epithelium, small intestine enterocytes, bronchial transient secretory cells, prostate epithelial cells, nasal goblet and ciliated cells, etc.[87,89,95-97].

4.3 Key points for the rational design

Our lack of knowledge in the COVID-19 pathogenesis and the absence of its adequate and licensed therapy[2] have led to the need to create novel in vitro platforms that mimic in vivo conditions and are specifically tailored for the SARS-CoV-2 infection. There is no doubt that 3D tissue models are more suitable than 2D models to study any viral infections because they share the similarity to the native tissue, organ structure, and physiological functionality, and this is also applicable to COVID-19.

3D tissue-like constructs can be fabricated by a huge variety of methods that can be divided into two main groups: Scaffold-based and scaffold-free. However, scaffold-free techniques such as bioprinting and cell self-organization (spheroidogenesis and organoidogenesis) and their combinations are considered to be the most promising ones as they allow precise reproduction of tissue morphological and functional properties.

Bioprinting is a complex technique that, particularly, enables tissue fabrication using spheroids or organoids (microtissues) as building blocks. Hence, the appropriate spatiotemporal status and cell-cell and cell-matrix contacts may be achieved[98]. In bioprinting, cells distributed in a hydrogel system (“bioink”) are usually deposited by a bioprinter, which can be based on different technologies such as extrusion[99], ink jet[100], laser-induced forward transfer (LIFT)[101], stereolithography[102]. Extrusion-based bioprinting is the most widely used technique[103]; however, only LIFT bioprinter can enable precise deposition at high speed and resolution and is considered to be the best option to print minor cell populations within complex 3D tissue-like structures[101]. Regarding bioinks, the most promising cell components are spheroids or organoids establish intercellular junctions and newly synthetized ECM compared to a single cell suspension and maintain cell phenotype[22,104-106]; the biomaterial component – hydrogel system – is usually presented by natural and synthetic polymers, including their conjugates such as acellularized ECM, alginate, gelatin, fibrin, hyaluronic acid, cellulose, polyethylene glycol, and Pluronic-F127.[101,107-109].

As specific targets for SARS-CoV-2 are ACE2 and TMPRSS2, it is rational to include those tissues whose cells express these enzymes in the COVID-19 test tissue platform. Particularly, there should be 3D models of the nasal mucosa (including the olfactory neuroepithelium), lungs (particularly, the alveoli), blood vessels, heart, kidney, and intestine (Figure 3). To date, scientists have accumulated data on their fabrication through bioprinting, and this experience is shortly described further.

Figure 3.

Figure 3

Designing an “ideal” tissue model to study severe acute respiratory syndrome-related coronavirus 2 infection. BME – basement memebrane extract; BP – bioprinting; BV – blood vessel; ECM – extracellular matrix; GelMA – gelatin methacrylated; GMHA – glycidyl methacrylated hyaluronic acid; MC – microfluidic chamber (chip); PEG – polyethylene glycol; PEGMA – polyethylene glycol monoacrylate; SARS-CoV-2 – severe acute respiratory syndrome-related coronavirus 2; SIS – small intestinal submucosa.

The nose is one of the main ports of SARS-CoV-2 infection, and the nasal mucosa is the first barrier tissue for the virus[81]. Among the existing models mimicking the nasal mucosa, none of them was fabricated through bioprinting. They are mainly presented by monolayers, air-fluid single or multilayered biointerfaces, and scaffold-based and explant-based cultures[110]. As the olfactory neuroepithelium located in the nasal mucosa is involved in virus entry and smell dysfunction[89,111], the rational model should contain sustentacular cells expressing high levels of ACE2 and TMPRSS2 and olfactory receptor neurons expressing these enzymes at lower levels. There are numerous efficient protocols to form olfactory neurospheres and to differentiate olfactory neuroepithelial cells[112-115]; therefore, these cells and their self-aggregates can be a perfect cell component for a bioink to print a “smell-sensitive” nasal mucosa construct.

The lungs, particularly the alveoli, are the main target for the SARS-CoV-2 infection and remain technically challenging. Only a limited number of studies achieved success in the 3D reconstruction of alveolar epithelial-endothelial barrier, and most scientists attempt to model only the air-cell and fluid-cell biointerfaces. For instance, Horvath et al.[116] bioprinted the epithelial/endothelial cell barrier system on a porous membrane and showed that it is possible to create reproducible thin homogenous cell layers. To date, the most complex lung-like structure was fabricated by Grigoryan et al. using a stereolithographic bioprinter[117]. To reproduce the alveoli scale and morphology, particularly their epithelial side, Lewis et al. created hollow epithelial cysts using the microsphere-based approach[118]. Such cysts as a cell component of a bioink can be easily hierarchically structured through bioprinting to achieve lung-like constructs.

Blood vessels containing ACE-expressing endothelial cells are a common object for bioprinting because they ensure the proper survivability and engraftment of tissue-engineered constructs. Different approaches varying in fabrication method and bioink blends were offered and can be classified as follows: Sacrificial and core/shell techniques. The choice depends on the required shape and sizes; vessels with bigger diameter can be fabricated using an extrusion-based bioprinter, vessels with smaller diameter using a laser-assisted bioprinter, and multibranched vessels using stereolithographic bioprinter[101,117,119,120].

Another target organ for COVID-19 that should be included in an integrated platform is the heart. Engineering cardiac tissues requires the restoration of their functionality. To date, there is a number of successful studies that can be used as a base. Particularly, Maiullari et al. bioprinted a cardiac vascularized construct from hiPSC-derived cardiomyocytes and umbilical vein endothelial cells. This construct had native tissue-like morphology and successfully grafted with host tissues and vasculature[121]. Zhang et al. showed a complex approach to fabricate a vascularized-myocardium-on-a-chip, which was able to contract, using the combination of both bioprinting and microfluidics[122].

The kidneys play a crucial role in COVID-19[123,124], but its biofabrication remains an appealing goal. For sure, scientists have achieved particular success which is mostly related to engineering miniaturized kidney models[125-129]. Particularly, Homan et al. bioprinted renal proximal tubules placed into a microfluidic chip and showed that such model had the typical epithelial morphology and was sensitive to cyclosporine A[127]. King et al. fabricated an in vitr o multicellular model consisting of renal fibroblasts, endothelial cells, and proximal tubule epithelial cells and revealed its susceptibility to cisplatin in a dose-dependent manner and response to TGFβ[130].

The liver is also challenging for bioprinting mainly because of its complex structure that includes microvasculature and innervation[131]. However, there is a number of studies achieved good results in the restoration of the liver morphology and functionality. For instance, Yanagi et al. developed an approach to fabricate liver-like tissues based on the fusion of the bioprinted spheroids[132]. In addition, Bhise et al. designed a bioprinted liver-on-a-chip and showed its full functionality for 30 days and sensitivity to acetaminophen-induced toxicity[133].

The intestine is highly susceptible to the SARS-CoV-2 infection because its epithelial cells express ACE2[90] involved in amino acid homeostasis[134]. Therefore, it is essential to include it as a target organ in the designed tissue model platform. There are numerous approaches for fabrication of intestinal models, bioprinting is considered to be a promising approach[135]. Particularly, Madden et al. showed that it is possible to fabricate a two-layered construct consisting of epithelial cells and myofibroblasts through bioprinting[136]. Such construct had clear morphology, and cells expressed villin, E-cadherin, ZO-1, and enzymes and proteins participating in xenobiotics metabolism (cytochrome P450 2C9, multidrug resistance protein 1, breast cancer resistance protein, etc.)

To mimic air and liquid flow for recapitulating the in vivo conditions, microfluidics can be used as a tool. Such systems can be fabricated using bioprinting[137-139] and have been already approved as both single organ (organ-on-a-chip)[131,140-143] and integrated (body-on-a-chip) platforms[144-146]. Multi-organ model systems are more physiologically relevant and permits better detection of complex virus-host effects than the first ones. Particularly, Maschmeyer et al. fabricated a four-organ-chip representing the intestine, the liver, the skin, and the kidney[144]. Later, Vernetti et al. offered a more complex system reproducing the microphysiology of coupled intestine, liver, kidney proximal tubule, blood–brain barrier, and skeletal muscle models[145]. However, there are only several platforms which were fabricated using bioprinting because the combination of these emerging techniques is a relatively new approach. For instance, Skardal et al. developed a three-tissue system consisting of functional lung, cardiac, and liver modules and proved its applicability for drug testing[146]. Compared to such 2D models, bioprinted models ensure complex cell-cell and cell-matrix interactions that are crucial in studying COVID-19 pathogenesis.

The most challenging aspect of designing COVID-19 tissue platforms is modeling immune response relevant for this disease[2]. Hence, the “ideal” system should represent effects of dendritic cells and macrophages that secret inflammatory cytokines and chemokines (Interleukin [IL]-6, IL-8, IL-12, tumor necrosis factor-α, monocyte chemoattractant protein-1, Granulocyte-macrophage colony-stimulating factor, etc.) and cytotoxic T cells (CD4+ and CD8+ T cells). Hence, two approaches might be applied. The first one is designing immune-competent models[147,148] or integrated platforms by including lymph node models[149,150]. The second approach is based on the perfusion of immune cells suspension through a chip.

The integrated platform (Figure 3) includes six target tissues/organs (nasal tissue, lungs, heart, kidney, liver, and intestine), including blood vessels. They connect to each other using microfluidic channels ensuring virus transmission, cell supply with nutrients and oxygen, cell migration, etc. Each particular model is bioprinted to achieve native-like morphology and functionality. Bioink consists of cell (yellow) and hydrogel (blue) components and is tissue-specific. The best option for a bioink cell component is organoids/spheroids as they can perform cell-cell and cell-matrix interactions. To model immune response, two approaches might be applied: Designing immune-competent models/including lymph node models into such integrated platform and perfusing immune cells suspension through it.

5 Conclusion

To defeat COVID-19, the mankind should create new tools combining the emerging techniques such as bioprinting, microfluidics, and organoid formation. To date, our understanding of the fabrication of tissue models for different viruses and tissue engineering is growing, and they can be applied in designing an integrated multi-tissue bioprinted platform tailored for SARS-CoV-2 infection. Despite that none has yet tested such complex systems to study this virus and perform drug screening, this multidisciplinary approach can be a new chapter in antiviral research in view of the outstanding achievements described in this review.

Acknowledgments

This work was supported by the Russian Science Foundation (18-15-00407, Introduction and Section 4.1), Russian Foundation for Basic Research (18-29-06059, Section 2; 20-04-60063, Section 4.2 and 4.3), and Russian academic excellence project 5–100 (Section 3 and Conclusions).

Conflict of interest

The authors declare that they have no conflict of interest.

Author contributions

A.Sh., E.G., V.M., and P.S. outlined the manuscript. P.B. and M.P. contributed to Section 2.3 and 3 (except 3.2), D.B. – Section 2.1, N.K. – Section 2.2, M.V., E.Z., and N.K.R. – Section 3.2, and A.S. – Section 4 and 5, A.Sv. – Section 1 and 2.3. I.Z. drafted and prepared Figure 3, including its description; D.B., E.Z., and N.K.R. – Figures 1 and 2. A.S. drafted the manuscript with primary editing and revision support from A.Sv., P.S., and V.M. A.Sh., A.Sv., D.B., E.Z., E.G., and N.K.R. prepared the paper’s revision to address reviewers’ comments. A.Sv., P.S., and E.G. coordinated the manuscript preparation. All authors read and approved the final manuscript.

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