Keywords
hepatitis B virus - hepatitis C virus - SARS-CoV-2 - liver-on-chip - disease model
Few viruses are able to establish long-term chronic infections in humans and most
are cleared after only a short acute infection as is the case with SARS-CoV-2. The
biological processes that facilitate these viruses to manifest only as acute infection
and not frequently establish chronic infection and subsequent disease progression
are not well characterized.[1] In the liver, hepatitis B, C, and D can all frequently establish chronic infection.[2] Chronic viral hepatitis infection is among the leading causes of hepatocellular
carcinoma (HCC), which accounts for 1.3 million deaths per year and 90% of all primary
liver cancer cases.[3] Chronic infections may manifest asymptomatically, but even asymptomatic infections
can present significant risk for the development of liver disease in the future, and
patients who were infected with chronic viral hepatitis still remain at an increased
risk of developing HCC even after the virus has been cleared.[4]
[5] HCC is a burgeoning issue: it is the fastest rising cause of cancer-related deaths
in the United States and the fourth most common cause of cancer-related death worldwide.[6]
[7] In 2012, a total of 170,000 new cancer cases were attributed to hepatitis C virus
(HCV), and 420,000 were attributed to hepatitis B virus (HBV).[8]
The mechanisms that facilitate the transition from chronic viral infection to HCC
are poorly understood and require further investigation to devise therapies to combat
the progression of disease post infection. Unfortunately, modeling chronic viral infection
is extremely complex. Animal models have been indispensable in contributing to our
understanding of viral hepatitis-induced liver disease progression and drug development.
However, there is a dearth of intricate relevant physiological systems and these are
limited by cost, ethical concerns related to the use of human tissue, and incongruent
physiology.[9] Animal models are also challenged with accurately replicating a human's physiological
immune response and sustaining chronic infection from human-specific viruses.[10]
[11] Even genetically humanized mice, which are transfected with human viral entry receptors
genes to recapitulate human HCV infection,[12] are restricted in their capacity to generate physiologically relevant immune responses
that are imperative to understanding mechanisms underlying disease progression.[13]
[14]
In vitro liver models are necessary to complement the shortcomings of animal models,
but are not without deficiencies. First, it is unclear exactly how long an infection
must persist in vitro before cells exhibit phenotypic changes characteristic of a
chronic infection. Establishing systems that can markedly increase the functional
lifespan of in vitro culture is critical for determining this inflection point. Moreover,
in vitro systems lack an immune system, and rely solely on the innate immunity of
individual cells to study an immune response. By potentially incorporating multiple
cell types, physiomimetic platforms offer the advantage of introducing a more dynamic
interaction that includes cellular cross-talk and a more systemic approach to modeling
an immune response. Conventional two-dimensional (2D) in vitro models that use monolayer
culture are cost-effective and amenable to high-throughput experimentation, but their
environment is not consistent with normal liver physiology.[15] As a result, primary hepatocytes typically suffer from lower viability and cannot
sustain a functional phenotype for an extended period when plated in 2D in vitro.[16] This differentiated phenotype is necessary for modeling both acute and chronic viral
hepatitis infection accurately and must be maintained throughout the duration of a
study to replicate an accurate cellular response to infection. Physiology-mimicking/physiomimetic
microsystems are one possible solution to the challenges of maintaining a differentiated
and functional hepatocyte state, avoiding the attenuation of peak functionality that
is observed out to roughly 2 weeks in vitro.[13] Though modeling “chronic” infection in vitro is supremely difficult and borderline
impossible given the timescale by which chronic infection in vivo is defined (on the
scale of years), physiomimetic microsystems may still indeed prolong hepatocyte functionality
long enough to provide insight into the transition from acute to chronic infection
that occurs. Such systems include micropatterned and three-dimensional (3D) substrates,
spheroids, and microfluidic cultures known commonly as organs-on-chips. Many of these
microsystems have been well-established as effective liver models for years, but far
fewer have explored viral infection in the liver.[17] Here we investigate how physiomimetic liver microsystems are rapidly evolving to
better maintain functional hepatocytes that will facilitate the execution of novel
studies of viral infection in the liver.
We first describe the viral infections of interest along with the liver microenvironment
and acinus architecture. We then explore the building blocks for recapitulating viral
infection in the liver in vitro. Next, we investigate models specific to viral infections,
and the ability of these models to faithfully recapitulate viral infections. Finally,
we assess the future of in vitro models for the study of viral infection in the liver,
and strategies for how microsystems previously designed for nonviral applications
can be further optimized for pertinent studies.
Viral Infections in the Liver
Viral Infections in the Liver
The liver is susceptible to infection from a myriad of viruses, but here we highlight
three which have been of particular interest due to their prevalence and contribution
to morbidity and mortality: HBV, HCV, and severe acute respiratory syndrome 2 (SARS-CoV-2).
Hepatitis B Virus
HBV is a partially double-stranded DNA virus that can establish either acute or chronic
infection. HBV infection remains a global health challenge because it lacks a finite
cure, and chronic HBV infection has a clear link to HCC.[18] About 25% of patients with chronic HBV infection die prematurely from cirrhosis
and liver cancer, the majority of which remain asymptomatic until the onset of more
severe disease. The virus' surface antigen is extremely potent at generating functional
neutralizing antibody responses and this has enabled the development of highly effective
vaccines.[13] HBV enters the cell via a hepatocyte-specific receptor, Na+-taurocholate cotransporting polypeptide (NTCP).[19] It then translocates to the nucleus where its genome is modified to the covalently
closed circular (cccDNA) form that exists stably as an extrachromosomal viral genome.
cccDNA codes for the transcripts necessary for protein production and replication.
This cccDNA is the primary therapeutic target for therapies that would enable a finite
and durable cure for chronic HBV infection.[13] Neither an understanding of the mechanisms through which HBV drives progression
to HCC nor an optimal treatment to achieve virus eradication have been realized; therefore,
there is a persisting need for in-depth mechanistic studies on HBV infection in vitro.[18]
Hepatitis C Virus
HCV is a single-stranded positive-sense RNA virus with six genotypes. Infection can
occur acutely or chronically, but approximately 75 to 85% of people infected with
HCV sustain chronic infection and many are asymptomatic for years.[20] HCV enters the cell via cluster of differentiation (CD81) and additional coreceptors
and completes its life cycle in the cytoplasm. Viral RNA is translated to protein
and continues to replicate in the endoplasmic reticulum. Virion morphogenesis is coupled
to the very low-density lipoprotein (VLDL) pathway, forming lipoviral particles that
are subsequently excreted.[13] HCV is curable through the use of potent direct-acting antiviral agents (DAAs) that
target viral enzymes (protease and polymerase inhibitors), but there is currently
no vaccine, and cirrhotic patients who have had chronic HCV infection are still at
increased risk of developing HCC, even if the virus has been cleared.[21]
[22]
[23]
[24]
[25] Similar to HBV, even though there is a documented link between chronic HCV infection
and HCC, the mechanisms which govern the transition from chronic infection to HCC
are relatively unexplored because of difficulties modeling chronic viral infections
in vitro.[26]
[27]
SARS-CoV-2
SARS-CoV-2 has quickly emerged as one of the most transmissible and deadly viruses
in modern history. Although the virus primarily targets alveolar cells, it has also
been shown to infect hepatocytes, and liver injury has been reported in severe cases.
SARS-CoV-2 binds to the angiotensin-converting enzyme 2 (ACE2) receptor for entry,
which is present on hepatocytes, and is also expressed on liver endothelial cells
and biliary epithelial cells.[28] Patient studies measuring liver injury markers in cases of SARS-CoV-2 infection
found higher levels of aspartate transaminase (AST), alanine transaminase (ALT), gamma-glutamyltransferase
(GGT), and total bilirubin in patients with more severe cases.[29] The virus has demonstrated higher rates of death in patients with preexisting liver
disease, and the stage of liver disease is strongly associated with mortality.[30] Though the full impact of SARS-CoV-2 on the liver remains unclear, there is mounting
evidence to suggest the virus has the capacity to directly cause hepatic damage.[31]
The Hepatic Microenvironment
The Hepatic Microenvironment
Hepatic Acinus
The hepatic lobule is the structural and functional unit of the liver ([Fig. 1]). It is composed of plates of hepatocytes, and is vascularized by sinusoids that
transport blood from the portal venules and hepatic arterioles (periportal sides)
to the central vein (perivenous side), which carries blood back to the heart.[32]
[33]
[34] Chemical and functional gradients naturally form between the periportal and perivenous
ends, creating zonation across the sinusoid.[35] The sinusoids are lined with liver sinusoidal endothelial cells (LSECs). Kupffer
cells (KCs), the resident macrophages of the liver, neutrophils, and natural killer
cells, are anchored to the surface of this endothelial lining. Hepatic stellate cells
(HSCs), which support the deposition of collagen that can result in subsequent fibrosis,
reside between the sinusoid and parenchymal tissue in the space of Disse. Bile ducts
run between the hepatocyte plates, and flow opposite the blood toward the gall bladder
via the common bile duct. A single sinusoid flanked by hepatocytes represents the
smallest functional unit of the liver, the hepatic acinus. A lobule is composed of
multiple sinusoids and acini, but a single acinus captures all of the liver's primary
functions. Most physiomimetic liver systems that aim to recapitulate the microenvironmental
architecture of the liver seek to reconstruct an individual acinus.
Fig. 1 Diagram of the hepatic acinus, the smallest functional unit of the liver. Different
hepatocyte functions occur at different points across the liver acinus. Gluconeogenesis,
oxidative phosphorylation, and albumin and urea synthesis are higher in zone 1, while
glycolysis, lipogenesis, and xenobiotic metabolism are elevated in zone 3. Oxygen
concentration decreases across the sinusoid from the periportal region to the perivenous
region (the image was generated using Biorender).
Parenchymal Cells
The hepatocyte is the parenchymal cell of the liver and serves critical roles in metabolism,
detoxification, protein synthesis, and innate immunity.[36] Hepatocytes are the primary cell implicated in viral hepatitis infection and replication,
and the predominate cell type of interest for studying infection in the liver. They
make up approximately 60% of the total cells in the liver, and approximately 80% by
mass.[37] Hepatocytes exhibit a highly polarized state, evidenced by their segregated membrane
domains. The basal domain of the hepatocyte interfaces with blood flowing through
the sinusoid, while the canicular domain makes up a lumen between adjacent hepatocytes
and forms a network of bile canaliculi.[38] These canaliculi drain into the hepatic ducts, ultimately creating a flow system
countercurrent to the flow of blood through the sinusoid.[39] The proximity of bile networks and vasculature renders them capable of rapid uptake
and secretion, which is necessary for hepatocytes to carry out their metabolic functions.
Non-Parenchymal Cells
Non-parenchymal cells (NPCs) provide critical cell–cell interactions that support
hepatocytes in performing their primary functions. Hepatocyte co-culture with NPCs
has beneficial effects on hepatocyte viability and functionality in vitro.[40] NPCs also contribute significantly to the physiologic responses to viral infection
and are implicated in the progression of disease.[41]
[42]
[43] Physical and chemical cues bolster synergistic cross-talk between different cell
types, which helps mediate responses to viral infection. In the case of in vitro systems,
this cross-talk may promote cell maturity and push cells toward a more physiologic
phenotype.[40]
[44] All cell types implicated in viral infection are described in [Table 1].
Table 1
Overview of resident cell types in the liver and pertinence to viral hepatitis infection
|
Cell
|
Type
|
Proportion by number (%)
|
Diameter (µm)
|
Response to hepatitis infection
|
|
Hepatocytes
|
Epithelial
|
65%
|
20–30
|
Directly infected, propagate virus, inflammatory protein secretion
|
|
Sinusoidal endothelial cells
|
Endothelial
|
15%
|
7–11
|
Antiviral cytokine production
|
|
Kupffer cells
|
Macrophages
|
12%
|
10–13
|
Inflammatory response, viral clearance
|
|
Stellate cells
|
Fibroblasts
|
8%
|
10–12
|
Fibrogenic response
|
Liver Sinusoidal Endothelial Cells
LSECs line the hepatic sinusoid and form fenestrations that perform important filtration
functions between the blood and hepatocytes. They have high endocytic and metabolic
capacity for various ligands (e.g., glycoproteins, lipoproteins, ECM components).
They can act as APCs for both major histocompatibility complexes; secrete important
chemokines and cytokines involved in inflammatory responses including interleukin
(IL)-6, hepatocyte growth factor (HGF), and transforming growth factor (TGF-β)[45]; and secrete interferons to inhibit HCV replication.[46] LSECs have demonstrated the capacity to inhibit hepatocarcinogenesis through cytokine
secretion, and they support the health of hepatocytes via production of extracellular
matrix (ECM) proteins.[40] In a damaged liver, LSECs acquire morphological abnormalities that inhibit their
function, including supporting the maintenance of hepatic stellate cells in the quiescent
state. These changes occur in the livers of patients with HBV and HCV infection.[46]
[47]
[48]
[49]
Kupffer Cells
KCs are the liver resident macrophage, representing approximately 10 to 15% of the
liver's total cells.[37] As macrophages, KCs play a critical role in the liver's immune response to viral
infection. The role of KCs in response to HBV infection is unclear. After exposure
to HBV, data have been published demonstrating both increased production of the inflammatory
cytokines IL-6 and tumor necrosis factor (TNF),[50] but decreased production of the inflammatory cytokine IL-1β.[51] For HCV, KCs mount an inflammatory response upon binding, causing KCs to secrete
IL-1B, IL-6, TNF-α, and the immune suppressing mediator IL-10.[43] KC-derived TNF-α can also incidentally increase hepatocyte permeability, indirectly
promoting HCV infection. KCs play a critical role in the recruitment of immune cells
that contribute to the clearance of HBV and HCV, but both viruses are particularly
adept at evading the immune response.[52] KCs are also a significant contributor to liver damage postinfection, and are implicated
in the progression of liver disease and HCC, likely modulated by the release of inflammatory
and pro-fibrinogenic cytokines.[53]
Hepatic Stellate Cells
HSCs are fibrotic lipid-storing cells that reside in the space of Disse between the
sinusoid and parenchyma. In a healthy liver, HSCs are quiescent and represent 5 to
8% of cells in the liver. They store 80% of the body's vitamin A, are tasked with
ECM turnover, and regulate contractility of the sinusoids. In a diseased liver, HSCs
become active and transdifferentiate into ECM-secreting myofibroblasts. They can secrete
ECM proteins, growth factors, cytokines, and metalloproteinases. HSCs are the primary
cell type modulating fibrosis, and, as a result, can cause secondary damage to the
liver through collagen deposition.[45] In models of HBV infection, HBV was found to promote the proliferation of HSCs through
the platelet-derived growth factor (PDGF)-B/PDGF receptor-β signaling pathway. In
addition, increased expression of collagen I, connective tissue growth factor, α-smooth
muscle actin, matrix metalloproteinase-2, and TGF-β was observed.[54]
[55] In HCV, HSCs are activated by cytokines secreted from infected hepatocytes.[56]
[57] The HCV E2 protein has also demonstrated the ability of directly binding to HSCs
inducing a fibrotic response.[41]
Liver Zonation
Metabolism is central to the function of all hepatocytes, but hepatocyte metabolic
functions vary depending on their position along the sinusoid (periportal vs. perivenous/centrilobular;
[Fig. 1]).[58] This concept of metabolic zonation is established via chemical gradients, particularly
oxygen, and manifests through variability in hepatocyte function. There is differential
hepatocyte gene expression in specific locations along the sinusoid, including genes
in the Wnt/β-catenin signaling pathway, demonstrating the regulatory effect of zonation
on hepatocyte functionality.[59] The hepatic sinusoid is functionally segregated into three zones. In the oxygen-rich
zone 1, near the portal vein and hepatic artery, hepatocytes are predominantly responsible
for oxidative metabolism, fatty acid oxidation, gluconeogenesis, bile acid extraction,
ammonia detoxification, and urea and glutathione conjugation. Conversely, hepatocytes
in the oxygen-poor zone 3, near the central vein (centrilobular), are mainly responsible
for glycolysis, liponeogenesis, and cytochrome P450 biotransformation.[58]
Understanding the variable functionality of hepatocytes depending on zonation is not
only crucial for evaluating drug toxicity but also for assessing responses to viral
infection and the processes contributing to progression to HCC. For example, HCV preferentially
infects perivenous hepatocytes and can perturb the metabolic function associated with
zonation upon production of viral proteins.[60]
[61]
[62] Moreover, the same Wnt/β-catenin signaling pathway that plays a role in the establishment
of liver zonation is also key in modulating the development and progression to HCC.
It is clear that aberrations in zonation and subsequent effects on hepatocyte function
are critical to processes implicated in liver disease progression.[18]
In Vitro Human Models of Viral Hepatitis
In Vitro Human Models of Viral Hepatitis
Hepatocyte Sources
In vitro studies focused on viral hepatitis afford numerous options for modeling infection,
but choice of cell source, particularly choice of hepatocyte source, holds the greatest
impact in terms of experimental validity, efficacy, and ease-of-use. The different
hepatocyte sources and their compatibility with distinct models to study viral infection
are outlined in [Table 2].
Table 2
Overview of hepatocyte sources for study of viral infection in vitro
|
Functional conditions
|
Biological considerations
|
Primary human hepatocytes
|
Stem-cell–derived hepatocytes
|
HepaRG cell
|
HepG2 cell
|
HuH-7 cell
|
|
Culture conditions
|
Period of survival
|
∼ 2 mo
|
< 1 mo
|
Indefinite
|
Indefinite
|
Indefinite
|
|
Propagation
|
No
|
Yes, contact-inhibited
|
Yes, contact-inhibited
|
Yes
|
Yes
|
|
Matrix coating required
|
Collagen
|
Matrigel
|
None
|
Collagen
|
None
|
|
Access conditions
|
Commercial availability
|
Low
|
Low
|
Moderate
|
High
|
High
|
|
Lot variability
|
High
|
Moderate
|
Moderate
|
Low
|
Low
|
|
Infection Conditions
|
Innate immunity
|
Fully functional
|
Fully functional
|
Fully functional
|
Moderate
|
Low
|
|
Supports HBV infection
|
Yes
|
Yes
|
Yes, requires differentiation
|
No, requires NTCP
|
No, requires NTCP
|
|
Supports HCV infection
|
Yes
|
Yes
|
Yes, requires differentiation
|
No, requires CD81 and miR-122
|
Yes
|
|
Supports SARS-CoV-2 infection
|
Yes
|
Yes
|
Likely
|
Yes
|
Yes
|
Primary Human Hepatocytes
-
Advantages
-
Primary human hepatocytes (PHHs) are the gold standard for use in in vitro liver models.
PHHs are at their in vitro functional peak when plated, and do not require any further
differentiation. PHHs support HBV, HCV, and SARS-CoV-2 infection, though HCV replication
is seldom observed due to the potent innate immune response. Regardless, these cells
are the most useful tool for the general study of viral hepatitis.[13]
[63]
-
Disadvantages
-
PHHs are sourced directly from a human patient or fetal liver which is costly and
not readily available, and they do not divide once cultured in vitro. Without any
advanced culture techniques, their functional peak typically lasts about 2 weeks in
vitro, which is an insufficient time to establish a chronic viral infection model.
PHHs vary from patient-to-patient isolates; so, robust studies typically require PHHs
from multiple donors to achieve statistically reproducible results.[13] As an alternative, PHH pools from different donors can be utilized to generate data
that may be more generalizable across donors.
Hepatoma Cell Lines
Compared with PHHs, hepatoma cell lines are a more accessible source of cells for
modeling hepatic processes in vitro. The HuH7, HepG2, and HepaRG cells are among the
hepatoma lines most commonly used to model viral hepatitis infection. Each of these
cell lines vary in their functionality and state of differentiation, but all are immortalized,
and can be continually passaged.[13]
Huh7 Cells
-
Advantages
-
Huh7 cells can be used as a model for HBV, HCV, and SARS-CoV-2 infection.[13]
[64] This cell line is permissive to HCV infection and its derivatives; specifically,
the Huh7.5 and Huh7.5.1 cell lines are often used to propagate the virus in vitro.[13]
-
Disadvantages
-
Huh7 cells display minimal functional cell-intrinsic innate antiviral responses which
render them permissive to viral infection, but they have an attenuated immune response,
minimizing their utility in studying the progression of infection toward disease.[13]
HepG2 Cells
-
Advantages
-
Genetically modified HepG2 cells are primarily used for the study of HBV, but also
support SARS-CoV-2 infection.[13]
[65] Unlike Huh7 cells, they are polarized, and can sustain HBV infection if modified
to express the NTCP viral entry receptor. HepG2 cells can mount a detectable innate
antiviral response rendering them useful in the study of host defense pathways, specifically
the type III interferon (IFN)-λ in response to HCV infection.[13]
-
Disadvantages
-
Unmodified HepG2 cells do not support HBV or HCV virion infection without genetic
manipulation/selection. They lack the NTCP receptor necessary for HBV infection. Even
when expressing the NTCP receptor, HepG2 cells still remain less susceptible to HBV
infection when compared with differentiated HepaRG cells.[66] They also lack micro-RNA (miRNA-122) necessary to support HCV life cycle, and demonstrate
low expression of the CD81 receptor, necessary for HCV infection. HepG2 cells that
are transfected and selected to stably express these proteins can serve as useful
viral infection models.[13]
HepaRG Cells
-
Advantages
-
The HepaRG cell line, that is immortalized but not transformed, is a bipotent progenitor
that can differentiate to either the hepatocyte or the cholangiocyte lineage. When
differentiated, HepaRG cells are similar but less effective versions of PHHs in terms
of drug metabolism and their ability to support viral infection.[13]
[67]
-
Disadvantages
-
As a bipotent progenitor cell, they may not have a well-established innate immune
axis, which can compromise their utility for studying immune response to viral infection.[68] To support HBV and HCV infection, HepaRG cells must be differentiated from their
hepatoblast (HB) state to more differentiated hepatocyte-like cells (HLCs), typically
achieved through treatment with dimethyl sulfoxide (DMSO).[13] HCV has significant difficulty replicating in HepaRGs. At the time of this publication,
SARS-CoV-2 infection in HepaRG cells has not been reported ([Table 2]).
Stem-Cell–Derived Hepatocyte-Like Cells
Stem cells, whether sourced embryonically from blastocysts (hESCs) or through induction
of pluripotency (iPSCs), are a promising source of HLCs that can be used to model
viral infection.[13]
[69] iPSC-derived HLCs have an advantage over PHHs in that they can be grown in limitless
quantities without donor variability. Stem cells must be differentiated to definitive
endoderm (DE) and HB states before becoming HLCs. HLCs are not fully differentiated
like PHHs because they continue to express AFP.[13] HLCs have demonstrated the capacity to support HBV, SARS-CoV-2, and HCV infection
in 2D.[69]
[70]
[71]
[72]
Sources of Viruses for In Vitro Study
HBV
HBV for in vitro research is sourced from either patient serum or via cell line production
of recombinant virus. Patient serum has the advantage of being able to study distinct
genotypes or variants, while recombinant viruses are favorable for investigating the
roles of distinct proteins.[19] HepDE19 cells and HepAD38 cells are two examples of commonly used cell lines used
to produce recombinant HBV.[73]
[74]
HCV
HCV for in vitro research is available in several platforms and is sourced through
patient serum (serum-derived HCV [HCVser]), as pseudoparticles (HCVpp), or through
cell culture production (cell culture–derived HCV [HCVcc]). Pseudoparticles-derived
HCV (HCVpp) is generated in a kidney cell line; so, these particles do not synthesize
lipoproteins and are mainly used for studies on viral entry.[75] Recombinant cell culture–derived HCV (HCVcc), often replicated using the Huh7 cell
line or one of its derivatives, synthesizes lipoproteins and is a more effective model
to study the entire viral life cycle in vitro. The six HCV genotypes vary in both
geographic distribution and in their antigenic and serologic properties. Understanding
these differences is critical because responses to interferon and antiviral therapies
are genotype dependent.[76] Similar to HBV, HCVser can be used to infect hepatocytes with different HCV genotypes
and clones for all six HCV genotypes have been isolated, though the degree to which
they are able to replicate in vitro varies.[77] The JFH1 recombinant strain (genotype 2a) replicates spontaneously in hepatoma cells
and is commonly used to study infection in hepatoma cell lines.[78]
SARS-CoV-2
The novel coronavirus, SARS-CoV-2, has very recently become an area of interest for
research on viral infection in the liver. Due to its novelty, in vitro models of SARS-CoV-2
are in a nascent state, and study of the virus thus far has relied primarily on clinical
data and clinical isolates. Unlike HBV and HCV, the liver is not the virus's primary
target. Therefore, it may be more efficient to propagate the SARS-CoV-2 in non-liver
cells. Vero E6 cells, kidney epithelial cells from a green African monkey, are the
most commonly used to replicate the virus.[79] Wanner et al investigated the molecular consequences of liver tropism as a result
of SARS-CoV-2 infection in autopsy samples, and used the homogenized tissue to infect
Vero cells.[80] Huh7 and HepG2 cells have the capacity to be infected with SARS-CoV-2 and elicit
an IFN response.[64]
[81]
[82] Hepatocytes have also proven capable of being infected by other coronaviruses including
HCoV-229E and HCoV-OC43, which are less symptomatically severe but use the same mechanism
of entry into cells.[83]
[84] There are seven coronaviruses in total including SARS-CoV-2, some of which are more
accessible for in vitro experimentation and require less stringent safety protocols.[85] Other coronaviruses may serve useful in preliminary in vitro research on coronavirus
infection in the liver.
Physiomimetic Models to Study Viral Infection
Physiomimetic Models to Study Viral Infection
Physiomimetic platforms are in preliminary stages of modeling viral infections in
the liver compared with their uses as platforms to identify and study drug toxicity.
However, the principle of using a platform to optimally capture the liver microenvironment
in vitro is consistent across applications, whether it is drug response or viral infection.
The primary goals of traditional 2D in vitro infection models are to (1) investigate
questions pertaining to viral infection and life cycle and (2) uncover cellular responses
and related mechanisms. Although not the focus of this review, the development of
standard 2D models to study viral hepatitis has been covered elsewhere.[86]
[87] The primary goals of physiomimetic or nontraditional in vitro models thus far are
to (1) promote the functional longevity of hepatocytes and (2) establish more robust,
long-term infections evocative of chronic infection in humans. In doing so, these
models may help elucidate mechanisms underlying disease progression and expand our
understanding of how viruses in the liver initiate and sustain chronic infections
and drive subsequent inflammatory processes. Here we explore the progress on developing
current physiomimetic viral infection models and their use to sustain long-term infection.
These systems are outlined in [Table 3].
Table 3
Comparative overview of different physiomimetic culture platforms used to study viral
hepatitis
|
Culture system
|
Advantages
|
Disadvantages
|
Refs.
|
|
Static systems
|
|
Sandwich culture
|
•High-throughput
•Low maintenance
•Accessible
|
•Overly simplistic
•Minimal benefits beyond traditional 2D culture
|
[80]
|
|
MPCCs
|
•Longevity
•High-throughput
•Low maintenance
|
•Nonphysiological microenvironment
•Incorporates nonhuman cells
|
[81]
[82]
[83]
[84]
[85]
[86]
[87]
[88]
[89]
|
|
Spheroids
|
•3D cell orientation
•High-throughput
•Low maintenance
|
•Nonphysiological microenvironment
•Necrotic cores
•Variability between spheroids
|
[92]
[93]
[94]
[95]
[96]
[97]
[98]
[99]
[100]
[101]
[102]
[103]
|
|
Decellularized scaffolds
|
•Provide a physiological microenvironment
•Versatile applications
•3D cell orientation
•Mimic physiological ECM interactions
|
•Difficult to source
•Extensive preparation and characterization required
|
[104]
[105]
|
|
Perfusion systems
|
|
Hollow-fiber bioreactors
|
•Provide a physiological microenvironment
•3D cell orientation
•Longevity
|
•Large
•Low-throughput
•Low cell accessibility
|
[106]
[107]
[108]
[109]
|
|
Rotational bioreactors
|
•3D cell orientation
•Longevity
|
•Low-throughput
•Low cell accessibility
|
[110]
[111]
[112]
[113]
|
|
Liver-on-chip platforms
|
•Provide physiological shear and nutrient exchange
•Can recapitulate hepatic architecture
•Small device
|
•Nonphysiological cell orientation
•Complex preparation
|
[114]
[115]
[116]
[117]
[118]
[119]
|
Sandwich Culture
Sandwich culture is a layered culture approach, where cells are sandwiched between
two matrix layers. Cells bind and form a monolayer on the matrix beneath them and
are subsequently coated with a top layer of matrix, called an overlay. In a complex
iteration of sandwich culture, Petropolis et al compared multiple different permutations
of matrix and cell layering, and ultimately created two distinct Huh7-NTCP hepatocyte
layers separated by collagen I matrix and topped with a layer of LSECs, to study HBV
infection.[88] This model demonstrated HBV infection for 4 days. The authors did not observe significant
differences in infection as compared with 2D, but were able to show nonsignificant
differences in infection in the presence and absence of an endothelial barrier. They
showed that they could incorporate another cell type that participates in cytokine
signaling in response to infection, without hampering infection[88] ([Fig. 2A]). Though sandwich culture has fewer physiomimetic elements than the more complex
platforms which are discussed later, a minimalist approach to building a model may
be more cost-effective and amenable for high-throughput experimentation than more
complex culture systems.
Fig. 2 Models used to study viral hepatitis. Layered sandwich cultures that were infected
with HBV (adapted from Petropolis et al under terms of CC BY)[80] (A), self-assembling 3D hepatocyte-stromal cell co-cultures that were infected with
HBV (adapted from Winer et al under terms of CC BY)[90] (B), micropatterned co-cultures versus random co-cultures that were infected with HBV
and HCV (adapted from Shlomai et al under terms of CC BY)[88] (C), spheroid cultures that were infected with HCV (reproduced with permission from
Ananthanarayanan et al, ©2014 American Chemical Society)[95] (D), seeding and infection process of decellularized liver scaffolds that were infected
with HBV (reproduced with permission from Zhang et al)[105] (E), CN Bio Physiomimix platform cross-section that was infected with HBV (adapted from
Ortega-Prieto et al under terms of CC BY)[117] (F), PDMS liver chip that was infected with HBV (adapted from Kang et al under terms
of CC BY)[118] (G). HBV, hepatitis B virus; HCV, hepatitis C virus; MPCC, micropatterned co-culture;
RCC, random co-culture; PDMS, polydimethylsiloxane; PHH, primary human hepatocyte.
Micropatterned/Self-Assembling Co-culture
Micropatterned co-cultures (MPCCs) are deterministically patterned co-cultures, often
achieved by selective matrix deposition or surface treatment. The original hepatocyte
MPCC design from Khetani et al, now commercialized as HEPATOPAC, features groups of
hepatocytes seeded on collagen, spatially arranged via stencil, and surrounded by
3T3-J2 mouse fibroblasts as feeder cells.[89]
[90]
[91]
[92]
[93]
[94]
[95] MPCCs help prolong a functional PHH phenotype, and therefore help promote long-term
viral infection. Shlomai et al used MPCCs to culture PHHs and iPSC-derived HLCs with
3T3-J2s and demonstrated that HLCs support HBV in a differentiation-dependent manner.
In this study, HBV infection permissiveness was also an evaluator of differentiative
state[68] ([Fig. 2C]). For HCV, Ploss et al used the HEPATOPAC system to co-culture PHHs with 3T3-J2s,
and they achieved productive HCV infection for up to 2 weeks.[96] Two weeks is a reasonable period of time for sustaining HCV infection in PHHs in
vitro, but is also consistent with the timeframe in which PHHs begin to dedifferentiate.[13]
Self-assembling co-cultures (SACCs), which were created using SACC plates from HμREL,
combined PHHs and 3T3-J2 cells. The SACCs successfully supported HBV infection for
40 days, and HBV/HDV (hepatitis D virus) coinfection for 28 days[97]
[98] ([Fig. 2B]). Simple coculture systems may be highly effective for prolonging viral infection
studies without sacrificing accessibility or throughput.
Spheroids and Organoids
3D spheroids (single cell type) and organoids (multiple cell types) are culture techniques
that provide cells with points of contact in three dimensions to help better preserve
hepatocyte function when compared with cell in 2D.[99] The same infection-permissive effects of SACCs and MPCCs are also observed in spheroid/organoid
culture. Crignis et al infected healthy donor organoids (suspended in basement membrane
matrix) with recombinant HBV and demonstrated robust production of HBV cccDNA up to
8 days postinfection.[100] Organoid cultures have also proven capable of increasing HBV infection in HLCs as
a result of improving their differentiative state. Nie et al demonstrated productive
HBV infection for up to 20 days using iPSC-derived organoids, and achieved results
comparable to 2D PHH culture.[101] As a renewable source of cells with a functional interferon response, iPSC-derived
HLC organoids offer the potential of reducing cell batch variability for modeling
HBV infection in vitro.
In the context of HCV, spheroid cultures have been shown to be more permissive to
viral infection when compared with traditional 2D culture. The establishment of hepatocyte
polarity through spheroid formation may be linked to the upregulation and sustained
expression of specific HCV entry receptors, and matrix-based spheroid cultures further
assist in hepatocyte polarization[102] ([Fig. 2D]). For example, Tran et al used an optimal Ca-Na-alginate bead formulation to upregulate
expression of HCV-specific receptors in the Huh7 cell line.[103] Molina-Jimenez et al, Cho et al, and Ananthanarayanan et al embedded Huh7 or Huh7.5
(Huh7 derivative) cells in Matrigel, polyethylene glycol diacrylate (PEGDA) hydrogel,
and cellulosic hydrogel, respectively, which were subsequently infected with HCV.[102]
[104]
[105] Rajalakshmy et al infected 3D Huh7 cells cultured in Mebiol gel, a thermoreversible
gelatin polymer. The authors observed results consistent with other 3D matrix encapsulation
studies, and demonstrated increased expression of HNF4α and transthyretin, two key
hepatocyte maturation markers. They demonstrated HCV infection for 10 days, but were
able to support the growth of hepatocyte spheroids for 63 days.[106] Ananthanarayanan et al specifically incorporated PHHs into their model, but only
compared HCV entry in the spheroids against standard 2D culture and they found a significant
increase.[102] HCV infection in cell lines is clearly well established, but sustaining this infection
in immunocompetent PHHs remains a challenge that may be facilitated through the use
of immune modulators.[107]
Although in their preliminary stages of development given the recent emergence of
the virus, hepatic spheroids and organoids have shown to be highly permissible to
SARS-CoV-2 infection as well. Yang et al created hepatic organoids from both iPSC-derived
HLCs and isolated primary tissue, successfully infecting both cells types with this
virus.[108] Similarly, Lui et al and Zhao et al infected cholangiocyte hepatic organoids derived
from liver biopsies, which express the ACE2 receptor at high levels to support virus
entry.[109]
[110]
Decellularized Scaffolds
Decellularized scaffolds from both human and nonhuman livers provide a physiological
matrix via enzymatic digestion of cellular material, but with preservation of liver-specific
ECM proteins. This native ECM supports requisite signals for engraftment, survival,
and function, upon hepatocyte reseeding.[111] Decellularized scaffolds can provide insight into the microenvironmental effects
that may impact HBV infection. Zhang et al compared healthy and cirrhotic patient
decellularized ECM (dECM) scaffolds with HBV-infected PHHs, and infected HepG2-NTCP
cells. The authors observed increased viral replication in the diseased scaffold and
used the healthy scaffold to establish a 3D infection model that demonstrated a significant
increase in viral replication over the 2D condition. These data support the significance
and contribution of microenvironment on viral infection in vitro[112] ([Fig. 2E]).
Bioreactors
Bioreactors are the trailblazing technologies that laid the foundation for the development
of microfluidic chips. The purpose of bioreactors is to recapitulate an isolated system
ex vivo. Hollow fiber (HF) bioreactors, the most common form, are physiomimetic perfusion
devices that typically feature two sets of hydrophilic media capillaries and one set
of hydrophobic oxygen capillaries. The media capillaries provide counter-current flow
to increase nutrient exchange, while the oxygen capillaries promote gas exchange.
Cells are cultured in 3D cell compartments between the HF capillary structures.[113] Aizaki et al maintained HCV infection in the FLC4 cell line, which readily translates
HCV protein,[114] for over 100 days during culture in a radial flow, HF bioreactor.[115]
[116] Pihl et al established a similar HF bioreactor system and studied HCV infection
with and without various antivirals in HuH7.5 cells. This study extended beyond promoting
infection and replication in the bioreactor platform, and aimed to investigate mechanisms
of viral resistance to antiviral agents.[117] Rotational bioreactors, or rotating wall vessels (RWVs), are platforms for spheroid
generation and/or maintenance that continuously suspend cells and allow them to aggregate
into spheroids.[118]
[119]
[120] Sainz et al used an RWV to create Huh7 spheroids for HCV infection and observed
sustained levels of infection for 2 weeks in the system.[121] Of all the established HCV infection models, bioreactors hold the greatest potential
for sustaining longer-term infections, but these platforms lack the capacity for high-throughput
studies.
Liver-on-Chip Models
Liver-on-chip models are microfluidic devices that incorporate a variety of physiologically
relevant hepatic microenvironmental factors like ECM proteins, improved spatial cell
architecture, and media perfusion to induce healthy mechanical stimulation and nutrient
exchange. These factors combined can promote prolonged cell viability and function
to a degree that is otherwise unattainable in static culture.[122]
[123] Chip infection models offer dynamic conditions as a means of promoting viral infection.
For example, systems that recirculate media may provide virions with additional opportunities
for infection when compared with static media conditions. Ortega-Prieto et al infected
PHHs using the CN Bio chip system that pneumatically circulates media, and compared
the chip to spheroid cultures, SACCs, and traditional 2D culture. The authors observed
the best infection results in their chip that maintained infection for 22 days. This
model also incorporated other cell types, namely KCs, to study their response to HBV
infection[124]
[125] ([Fig. 2F]). Kang et al used a perfused bilayer membrane chip design with bovine aortic endothelial
cells and sustained HBV infection in PHHs for 14 days[126] ([Fig. 2G]). The longevity of these experiments is a strong indicator that chip microsystems
are a tenable platform for informative chronic HBV infection studies in vitro.
As an HCV model, Natarajan et al infected primary liver organoids encapsulated in
basement membrane matrix with HCV, and perfused the cells in co-culture with T cells
on a commercially available chip, idenTx, from AIM Biotech. They used this co-culture
platform to study the adaptive immune response in the context of HCV infection, and
were able to recapitulate a more physiological interaction between infected hepatic
organoids and T cells, by introducing T cells into the perfused media and allowing
them to encounter the infected organoids independently.[127] This study highlights the utility of physiomimetic systems as more physiological
models of the adaptive immune response.
Translating Nonviral Hepatitis Models to Viral Applications
Translating Nonviral Hepatitis Models to Viral Applications
At this time, viral-infection–focused physiomimetic liver models are limited; however,
other disease models have utilized platforms highlighted in section “Physiomimetic
Models to Study Viral Infection.” Previous use for studies on other distinct liver
diseases provides valuable insight for a model's capacity to be successfully utilized
to support studies on viral infection. Here, we discuss the foundational elements
of current physiomimetic models that allow them to be used functionally to study viral
infection. We also consider which design components best promote the establishment
and maintenance of chronic infection in vitro.
Exploring Other Disease Models
While not specific to support viral infection studies, some liver disease models have
significant design characteristics that overlap substantially with other viral infection
models. For example, steatosis, fibrosis, and cirrhosis models simulate the same long-term
effects that can be observed from chronic viral infection, despite using different
drivers of liver disease for achieving these responses. Nonalcoholic fatty liver disease
(NAFLD) and nonalcoholic steatohepatitis (NASH) are common liver diseases that are
modeled in in vitro studies and they can cause inflammation in the liver which results
in a fibrotic response similar to viral hepatitis. Even though NAFLD/NASH is triggered
by entirely different mechanisms than viral hepatitis, both diseases activate many
of the same inflammatory pathways that subsequently induce similar fibrotic responses.
These similarities between the progression of these diseases to fibrotic states may
influence the development of future viral infection models. NAFLD/NASH models specifically
typically incorporate stellate cells, or some type of fibroblast substitute. Stellate
cells are quiescent in a healthy liver, but induce a fibrotic response when activated
via inflammatory pathways. Some in vitro studies modeling a fibrotic liver can be
accomplished by comparing tissue from healthy and diseased donors,[128] but for most physiomimetic in vitro liver models, inflammation was induced. Induction
of an inflammatory state was achieved through exposing cells to high concentrations
of free fatty acids (FFAs), and other naturally occurring drivers of fatty liver disease,[129]
[130]
[131]
[132]
[133]
[134]
[135]
[136] and also by modulating matrix stiffness or drug treatment.[120]
[137]
[138]
[139]
[140] David Hughes's group studied the effects of FFAs in monoculture and co-culture,
respectively, in two separate publications, using fat and lean hepatocyte cell culture
media on the CN Bio chip.[131]
[132] The co-culture model included PHHs with primary KCs and HSCs and demonstrated stellate
cell activation that contributed to the profibrotic response.[132] Ouchi et al and Pingitore et al offered similar FFA treatment conditions to their
organoid cultures.[129]
[136]
Changes in matrix stiffness have a reproducible effect on stellate cell activation
since fibrosis is promoted under stiffer conditions.[141]
[142] Clark et al used the same CN Bio platform with hepatocyte and NPC co-culture, and
manipulated matrix stiffness to modulate inflammatory response.[143] Drug treatment is also utilized as a means of inducing inflammatory responses and
subsequent steatosis and these models have direct clinical applications. As an example
of a platform to test treatments for viral infections, studying the tissue response
to treatment is as critical as establishing infection, especially for therapeutics
that target cellular factors. For general liver fibrosis models, methotrexate (MTX)
is an attractive compound for experimental use because it is widely prescribed as
a chemotherapeutic and immunosuppressant.[144] MTX has been used to induce fibrosis in vitro in a chip system,[139] organoid,[145] and in bioprinted models[137]
[138] alike, all of which demonstrated a profibrotic response. Bell et al demonstrated
the capacity of their PHH/NPC organoid culture to model viral hepatitis via adenovirus
infection, and then treated with trovafloxacin to induce hepatoxicity.[140] An alcoholic disease model was also developed from Deng et al, where the authors
used a chip-based device to co-culture PHHs and NPCs, and examined the effects of
treating the cells with varying concentrations of ethanol.[146] Two different groups developed bacterial infection models, specifically to study
malaria. March et al used MPCCs to treat PHHs with antimalarial drugs, and Ng et al
used MPCCs to study the effects of hypoxia on malaria infection in hepatocytes.[147]
[148] Each of the models described achieves a diseased-state liver that exhibits the capacity
for use as viral infection platforms.
Multiorgan Platforms
The prospect of linking a liver platform with other organ systems to study specific
viral infections is exiting and relatively unexplored and multiorgan platforms including
multiorgan chips can be linked via perfusion of a common media. These more complex
models would support studies offering a more systemic perspective on disease processes
related to infections, diseases, and treatments. These multiorgan chips are an intermediate
step in the pursuit of a full “body-on-chip,” which would effectively serve as a complete
in vitro human model. Liver–gut chips have been the most commonly developed linked
system that includes a liver platform. This is because most environmental contributors
to steatosis, whether it be high-fat diets[149] or cytotoxic compounds,[150]
[151]
[152] can be mediated by the gut and its microbial community, upstream of the liver. Moreover,
liver–skin,[153] liver–lung,[154] liver–heart,[155] and liver–kidney[156] chips have been developed to study drug toxicity on peripheral organs, downstream
of the liver to account for hepatic drug metabolism. These two-organ chips can increase
further in complexity by combining three or more organ systems. Maschmeyer et al established
an aggregate model that includes four organ systems (gut, liver, lung, kidney) and
used their platform to support viable culture of all four tissues for 28 days.[157] Ronaldson-Bouchard et al also developed a four-organ system (skin, bone, heart,
liver) and maintained the culture for 4 weeks.[158] Other plate-based devices have not yet used liver cells specifically, but offer
the potential for linking tissue from all major organs of the human body.[159]
[160] Miller and Shuler developed a system capable of culturing 14 different tissues,
all connected on a pumpless device.[161] Multiorgan platforms have yet to be rigorously applied to the study of viral infections
in the liver, but they provide an intriguing opportunity to study related systemic
effects.
Design Considerations for Translating Platforms to Viral Applications
Established disease models naturally inform key design elements that would be needed
to develop optimal virus infection models. Nonetheless, some disease models are better
equipped than others for sustaining chronic infection in vitro for weeks to months.
Here, we cite some considerations for expanding a platform's range of use to include
amenability for supporting sustained chronic viral infection.
Size
The size of the platform is the primary consideration when fabricating/selecting a
physiomimetic culture platform. Though less of a concern in static culture devices,
considerations of working volume and media life cycle are inherent to the size of
the system. Perfusion systems often recycle media, but the frequency at which recycled
media has to be changed depends greatly on working volume. Furthermore, shear forces
and nutrient exchange vary greatly depending on the ratio of size to flow rate. The
dimensions of a device must be established before a flow rate that will replicate
physiological shear and nutrient exchange can be determined. The size of the device
also dictates the number of cells that can be seeded, which is critical when considering
methods of comparison. Ideally, cell count in a physiomimetic platform can be standardized
against traditional 2D culture formats, especially when quantifying replication of
infection, that is, virions that have been released from infected cells into the spent
media.
Materials
Selection of materials is crucial for optimizing a platform to its application, especially
in the case of microfluidic devices that require precise fabrication of fine-tuned
features. Though microfluidic devices in particular can be manufactured from numerous
materials including silicon, ceramic, and even paper,[162] the three most widely used materials in microfluidic chips we have reviewed here
are polydimethylsiloxane (PDMS), glass, and polymethyl methacrylate (PMMA) (acrylic).
PDMS is gas-permeable and customizable at nanoscale resolution via casting with photolithographically
patterned photoresist templates ([Fig. 3A, B]). However, PDMS is subject to nonspecific protein binding unless chemically modified,
and lacks optical clarity making it difficult to image cells in situ without compromising
sterility. Glass can be directly processed using photolithography and does not bind
proteins nonspecifically, but glass is not gas-permeable, limiting its capacity for
long-term culture if used as the chip's exclusive material. Photolithography can also
be a cumbersome method of fabrication, and is less amenable to rapid prototyping in
comparison to other methods.[162]
[163]
[164] Conversely, PMMA is a great candidate for rapid prototyping through laser machining,
milling, injection-molding, embossing, casting, and reactive ion etching, and is not
hindered with nonspecific protein binding to its surface.[165] PMMA is also optically clear and allows for easier live cell imaging. However, like
glass, PMMA is also gas impermeable. Machining techniques reach only the microscale
rather than the nanoscale, so this material is not ideal for creating small, high-resolution
features that can be achieved via photolithography. Many chips combine materials or
use PDMS with a glass substrate.[130]
[139]
[166]
[167]
[168]
[169]
[170]
[171] In this way, engineers can reduce the amount of PDMS in the chip, but still benefit
from PDMS's capacity to form high-resolution features.
Fig. 3 Significant physiomimetic perfusion platforms. PDMS zonation chip assembly (reproduced
with permissions from Li et al)[122] (A), Emulate Liver-Chip assembly (reproduced with permissions from Jang et al)[169] (B), Hesperos liver chip assembly (reproduced with permissions from Esch et al)[164] (C), Draper PREDICT-96 chip assembly (reproduced with permissions from Tan et al)[165] (D), Mimetas OrganoPlate assembly (adapted from Bircsack et al under terms of CC BY)[166] (E), CN Bio Physiomimix assembly (reproduced with permissions from Long et al)[167] (F), Lena Biosciences PerfusionPal assembly (adapted from Shoemaker et al under terms
of CC BY)[168] (G).
In addition to the materials used to assemble the platform, the cell matrix that is
utilized has a significant impact on cell functionality and viability. 3D cell cultures
in hydrogels and scaffolds have substantial benefits over monolayers ([Fig. 3C–G]),[172]
[173]
[174]
[175]
[176] but membrane monolayers provide opportunity for physiological cross-talk between
co-cultures ([Fig. 3A, B]).[130]
[177] 3D cultures separated by membranes combine some of the benefits of both 3D and membrane
culture, but risk losing a degree of proximity when cells are encapsulated in separate
gels, versus cultured opposite each other on the same membrane. For viral infection,
it is imperative the material selection factors support the immediate access of virions
to cell surface entry receptors. It is also critical that virions are able to pass
readily through gels and scaffolds to reach the cell membrane for subsequent entry
into the cytoplasm.
A final consideration for material choice is access to imaging, particularly for in
situ imaging. Imaging intracellular viral proteins is an effective method for confirming
the presence of productive infection. Transparent materials are crucial for any in
situ imaging, and total thickness must be concordant with the focal length of the
microscope being utilized. Any in situ fluorescence imaging also requires permeability
to fluorescent dyes.
Accessibility and Throughput
Accessibility and throughput are critical for generating reproducible data that can
be tested and corroborated through a multitude of different assays and multiple replicates.
For viral infection, assaying cells for the production of viable virions and studying
the virus life-cycle, at both transcriptional and protein levels, is common practice
to support physiologically relevant viral studies. To run these analyses, the user
must be able to access cells in the platform to isolate intracellular nucleic acids,
protein, and any other cellular material that would provide insight on the establishment
of a productive infection. Additional considerations include access to spent media
to assay for viral replication and the production of inflammatory cytokines, and the
device's amenability to imaging, both at end point and in situ, as described in the
Materials section. HF bioreactors, for example, are useful tools for recreating a
physiological microenvironment, but they are large systems that are not conducive
to testing a large number of replicates or conditions. Plate-based formats that include
open well access like the PREDICT-96 platform ([Fig. 3D]),[173] OrganoPlate ([Fig. 3E]),[174] CN Bio Physiomimix chip ([Fig. 3F]),[175]
[178]
[179]
[180] and PerfusionPal ([Fig. 3G])[176] lend themselves most naturally to functional access to biologic materials and to
support high throughput studies.
Media Dynamics and Composition
The benefit of perfusion in culture is well-documented,[181] but different platforms implement different methods for perfusing cells. Five commonly
used methods include peristaltic pumping perfusion,[182] pneumatic pumping perfusion,[175] syringe pumping perfusion,[130] pumpless rocking perfusion,[174] and pumpless hydrostatic pressure-driven perfusion.[160] Peristaltic and pneumatic pumps create pulsatile flow while flow from syringe pumps
is continuous. Peristaltic and pneumatic pumps are better for establishing unidirectional
flow, especially at high flow rates. For devices that use perfusion to simulate blood
flow and establish zonation, unidirectional flow is more physiologically relevant
than bidirectional flow. Syringe pumps can also be used for unidirectional flow, but
they are limited by volume, whereas peristaltic and pneumatic pumps can run indefinitely
in one direction. Rocking perfusion is bidirectional, which is non-ideal for creating
zonation, but it can still generate physiologic shear stress and nutrient exchange.
Hydrostatic pressure-driven perfusion is passive and slow, so attaining physiological
shear is more difficult, but these systems are able to promote nutrient delivery and
flow unidirectionally. As stated previously, flow rate and size are completely intertwined,
because a physiologically appropriate flow rate depends on the dimensions of the culture
platform. Pump systems provide more accurate and tunable control over flow rate than
pumpless systems, but pumpless systems are typically cheaper and easier to use.
Another consideration for sustaining cell co-cultures is media composition. Finding
a culture medium that is agreeable to all cell types in the culture is a lengthy process,
and can vary significantly when using different cell types and sources. For in vitro
work, no universal media exists, so selecting a common media that can sustain all
resident cells is of the utmost importance. This process becomes increasingly difficult
with each cell type added, especially for multiorgan platforms that use different
tissues in addition to different cell types within each tissue. No obvious solution
to this issue exists, and approaches vary drastically depending on the setup of the
platform and spatial distribution of cell types. There are several common approaches
for solving the media dilemma with multiple cell types. The first, useful in cultures
with a large variety of cell types, is to maintain a tissue-to-liquid ratio. In this
way, the composition of the common media mirrors the ratio of each cell type.[157] A second option, for liver-based systems, is to cater specifically to hepatocytes
and to utilize an optimal hepatocyte media as a common media for the entire system.[89]
[139] This approach is more frequently implemented when the system is designed to study
one cell type specifically, and may be especially useful in the case of viral hepatitis
infection models where only the hepatocyte is infected. The third method for media
selection is specific to platforms that are spatially divided by cell type, but these
systems allow for different cell types to receive their optimal media, to ensure the
function of each cell type individually.[183] The challenge with this method is in preventing the mixture of the distinct medias
into a homogenous solution, while still permitting cellular cross-talk between separate
culture chambers. Without a nutrient-rich universal blood substitute, media composition
will always be a necessary consideration for optimizing a co-culture platform. To
improve infection specifically, media can be supplemented with a variety of small
molecules and chemicals. Janus-kinase inhibitors,[107] polyethylene glycol (PEG),[184] and DMSO[184]
[185] may improve both the infectability and support maintenance of differentiation of
more sophisticated in vitro liver platforms.
Clinical Translation of Physiomimetic Models
As physiomimetic models gain momentum as desirable alternatives to traditional in
vitro models, it is important to consider the role they may play in facilitating the
translation from in vitro study to clinical applications. Physiomimetic platforms
may have the capacity to significantly expedite the transition from in vitro models
to animal models. For example, Jang et al published cross-species drug toxicity data
using the Emulate Liver Chip ([Fig. 3B]), and demonstrated species-dependent differences in toxicity response to a proprietary
Janssen compound that was previously discontinued due to liver toxicity in rats. This
high degree of toxicity was corroborated from results using rat hepatocytes on the
in vitro platform, but when the same experiment was conducted on human hepatocytes,
no such toxic effect was observed. Conversely, when testing a different proprietary
compound that was discontinued due to hepatocellular necrosis in dogs, comparisons
of dog and human hepatocyte data were aligned in their toxic response trends.[177] These findings are indicative of the potential for liver-on-chip platforms to evade
species-dependent discrepancies during drug development, thereby expediting the process
of translation from bench to clinic. While many of the advances in using liver-on-chip
devices as a bridge to clinically relevant study have come in the context of drug
discovery,[177] there is ripe potential to use these same platforms to conduct patient-specific
studies to better understand case-by-case disease etiologies, make predictions on
outcomes, and personalize treatments. The drug discovery pipeline typically progresses
linearly, moving toward increasingly complex models; however, liver-on-chip platforms
may soon be able to supplement and enhance this process, driving personalized medicine
forward while supporting a bidirectional interplay between the clinic and bench ([Fig. 4]).
Fig. 4 The standard process of disease study and drug development progresses linearly, starting
with in vitro testing, moving next to animal models, then conducting clinical trials
for drugs and using samples from diseased patients, finally resulting in compounds
that are brought to market and clinical data from diseased patients that can be used
to predict outcomes and further study the disease. However, a physiomimetic platform
allows for a dynamic interplay between in vitro and animal models, and clinical data.
If effective, in vitro models can be used to corroborate findings from animal models,
predict outcomes from animal models, test and study clinical diseases and treatments
in vivo, and predict treatment outcomes for patients as a personalized medicine approach.
All of this information can enhance and expedite bench to clinic pipeline (the image
was generated using Biorender).
Conclusions
Physiomimetic models are a promising tool for studying viral infection in the liver,
but are currently in their nascent stages of development for this application. Initially,
the focus for developing physiomimetic liver models has been directed primarily toward
studying drug toxicity, which serves a paramount role in the pharmaceutical industry
given that liver toxicity is a leading cause of failure in drug development. However,
as these tools continue to develop and become more widely available, physiomimetic
liver platforms hold the potential to greatly enhance how viral infection in the liver
is studied in vitro, by promoting and sustaining a functional hepatocyte phenotype
that is conducive to supporting long-term infection. Much of the foundation for using
liver models to study viral infection has already been achieved through the development
of drug toxicity and other disease models. It is now of utmost importance to find
the best methods of translating these toxicity and disease models to viral infection
applications specifically given the recent COVID-19 pandemic. The end goal for in
vitro viral infection models would be that a physiomimetic system reaches an application
convergence point, which can be used to study infection, subsequent disease, and pertinent
therapeutics, all in a single study using an optimal platform.