Drug-induced liver injury (DILI) is a major cause of drug failure. A protocol has been developed to accurately predict the DILI liability of a compound using a liver microphysiological system (MPS). The liver model uses the coculture of primary hepatic cells and translationally relevant endpoints to assess cellular responses to treatment.
DILI is a major cause of attrition in drug development with over 1000 FDA-approved drugs known to potentially cause DILI in humans. Unfortunately, DILI is often not detected until drugs have reached clinical stages, risking patients’ safety and leading to substantial losses for the pharma industry. Taking into account that standard 2D models have limitations in detecting DILI it is essential to develop in vitro models that are more predictive to improve data translatability. To understand causality and mechanistic aspects of DILI in detail, a human liver MPS consisting of human primary liver parenchymal and non-parenchymal cells (NPCs) and cultured in 3D microtissues on an engineered scaffold under perfusion has been developed. Cryopreserved primary human hepatocytes (PHHs) and Kupffer cells (HKCs) were cocultured as microtissues in the MPS platform for up to two weeks, and each compound of interest was repeatably dosed onto liver microtissues at seven test concentrations for up to four days. Functional liver-specific endpoints were analyzed (including clinical biomarkers such as alanine aminotransferase, ALT) to evaluate liver function. Acute and chronic exposure to compounds of various DILI severities can be assessed by comparing responses to single and multi-dosed microtissues. The methodology has been validated with a broad set of severe and mildly hepatotoxic compounds. Here we show the data for pioglitazone and troglitazone, well-known hepatotoxic compounds withdrawn from the market for causing liver failures. Overall, it has been shown that the liver MPS model can be a useful tool to assess DILI and its association with changes in hepatic function. The model can additionally be used to assess how novel compounds behave in distinct patient subsets and how toxicity profiles may be affected by liver disease states (e.g., viral hepatitis, fatty liver disease).
DILI remains the most common cause for acute liver failure in the USA and Europe and is a leading cause of attrition of compounds in the drug development process1. Nearly all classes of medications can cause hepatotoxicity, with central nervous system agents and antibiotics being by far the most common treatments that cause DILI in patients2. Drug-induced hepatotoxicity is caused by a complex interaction of genetic, non-genetic, and environmental factors, leading to the death of hepatocytes and other liver cell types, including cholangiocytes and endothelial cells1,3.
DILI causing agents can be classified in two ways: those which cause predictable dose-dependent liver damage or those which cause idiosyncratic DILI that is rare and develops independently of drug dose, or route, or duration of administration, but is responsible for up to a sixth of all acute liver failures in the USA only4. Unfortunately, DILI is often not detected until drugs have reached the clinical stages of the drug development process. Drug-induced liver injury rank (or DILIrank) consists of more than a thousand FDA-approved medicines that are divided into four classes according to their potential for causing DILI, and their use in patients must be closely monitored5.
Studying mechanisms of drug hepatotoxicity remains very challenging, and therefore, many preclinical models have been developed to explore mechanisms of DILI. Current in vitro and in vivo models used to predict DILI in preclinical development have several limitations to providing insights into the complex, multifaceted interactions in a living human body. Cancerous hepatic cell lines (i.e., HepG2, HepaRG) cultured in 2D are still used in the early stages of drug development for evaluating the toxicity of candidate compounds6. Even so, these cell lines come from single donors and show abnormal levels of liver function, and do not always exhibit high sensitivity for detection of DILI7,8. As an alternative to cancerous hepatic cell lines, PHHs better represent human liver physiology if cultured appropriately in vitro, although several limitations exist with their culture, like short incubation time with drugs, relatively short life span, loss of hepatic gene expression, and changes of drug metabolic functions9,10,11. PHHs can be cultured on extracellular matrix proteins in standard 2D cell culture plates, but as a downside, the rapid decline in their function means they have low sensitivity (<50%) for DILI prediction12.
On the other hand, testing on animal models is slow, expensive, and needs a cross-species translation to extrapolate prediction to humans. Most newly developed drugs fail to gain approval making this process costly and risky5. Furthermore, for testing new human-specific modalities, animal models are less suitable due to gene sequence or immunological response differences versus humans13.
Consequently, interest in more advanced three-dimensional (3D) in vitro liver models has exponentially grown. Culturing PHHs as spheroidal structures generated by gravitational aggregation in hanging drops or on ultralow attachment surfaces represents a high-throughput method for assessing compound liabilities14. PHH spheroids have been used to assess DILI in a diseased background (e.g., steatosis and cholestasis)15. A wide variety of models have been developed to include plated micro-patterned cocultures of hepatocytes with stromal fibroblasts16, 3D bio-printed liver tissues17, 3D spheroid cultures with or without hepatic non-parenchymal cells15. However, all these methods still have drawbacks, and culturing PHHs in a more physiologically relevant microenvironment could provide them with higher levels of functionality for extended periods of time to enable the investigation of prolonged exposure to potential hepatotoxicants. Additionally, to improve the translational relevance of any advanced in vitro PHH culture, clinically relevant functional endpoints or toxicity output biomarkers must be utilized to allow data to be compared in vivo or clinical scenarios18.
In this study, we assessed whether a MPS, also known as an Organ-on-a-Chip (OOC), in vitro liver model could be used to understand the detailed mechanistic aspects of liver toxicity. The MPS has previously been shown to maintain highly functional 3D liver microtissues, under flow, for up to 4 weeks19. The system has been recently tested by FDA and shown to have high reproducibility when performing drug toxicity, metabolism, and intracellular accumulation20. Moreover, when compared with spheroids and sandwich cultures, the system had a more stable function and higher sensitivity in detecting the toxicity of several drugs20. To date, the MPS has been used in a wide range of applications that cover ADME21, disease modeling (HBV22, NAFLD23,24,25), and drug-drug interactions26, potentially making it highly suited to assessing acute and chronic DILI. The technology presented here offers an alternative to close the gap between more traditional cell cultures and animal models and human clinical trials, advancing towards the simulation of human biological conditions to support the assessment of candidate compounds' liver toxicity in preclinical stages of the drug development process.
MPS are designed to recapitulate functional units of human organs in vitro and have been developed to address the limitations of conventional 3D cell culture models27. The liver is one of the most modeled organs using MPS, and a wide variety of systems have been developed. The human liver is responsible for drug metabolism and generation of toxic drug metabolites, and its function is a key element to model for drug development, including the assessment of DILI liability of compounds28. Here we have introduced a new method for assessing DILI using a liver MPS; the protocol enables mechanistic insights to be sought for each compound assayed to determine how it may cause DILI as well as being a highly sensitive and robust assay. Liver microtissues are formed in the MPS plates, which are a coculture of PHH and HKCs and are highly functional with high levels of albumin and urea production as well as high CYP3A4 activity compared to standard in vitro liver models20.
Although the DILI model described here can serve as a useful tool in later stages of preclinical testing in the drug development process, it also has several limitations. As the majority of MPS currently available on the market, it is a low-throughput platform and, therefore, more difficult to use for large-scale drug screening activities. Consisting of microtissues formed by coculturing PHHs and HKCs the DILI model also cannot entirely capture the complexity of the human liver, and further optimization by incorporating different types of cells (e.g., immune cells) would be beneficial to add value to the existing model. This single-organ MPS could also be combined with other organ platforms that can share a common medium and allow organ crosstalk at the cellular or endocrine level, and that can help to better understand the mechanistic insights of toxicity not limited only to the liver itself. Furthermore, as any relatively new technology, it might be considered costly and hence of limited accessibility.
MPS is a platform used to develop organotypic models of single or multi- human tissues. The system is composed of a controller, umbilical cable, and MPS driver into which the plate is inserted (Figure 5A). Each liver MPS plate has 12 independent open wells for culturing primary liver cells in 3D on engineered scaffolds. In summary, the system is QC checked, and the plates are primed at Day -1, the PHHs and HKCs are seeded on the plates at Day zero (Figure 5B, see 1). Embedded micropumps facilitate the circulation of cell culture media through the scaffolds to facilitate the formation of 3D microtissues (Figure 5B, see 2). Formed microtissues are QC'd at Day 4, dosed with different concentrations of each compound every 48 h for 4 days, and assayed for endpoint biomarkers at Day 8 (Figure 5C). The experimental timeline of the DILI assay in the MPS plate is depicted in Figure 5D.
Figure 5: The microphysiological systemand experimental timeline of a standard DILI assay. (A) The microphysiological system with its components: controller (1), umbilical cable (2), docking station (3), MPS driver (4) and LC12 plate (5). (B) Seeding of PHHs and HKCs on LC12 plate at Day 1 (1) and embedded micropumps facilitate circulation of cell culture media with tuneable flow rates through the 3D microtissues seeded on the scaffolds (2). (C) Taking down the scaffolds at the end of the study. (D) Experimental timeline. Please click here to view a larger version of this figure.
When performing the protocol, it is important that a robust system QC check is performed prior to starting, checking the system is functioning pneumatically correctly and the consumable plates are visually inspected and primed efficiently to ensure even functionality across all wells. Having high-quality primary human cells is essential for this protocol, with hepatocytes known to adhere consistently in cell culture experiments and form 3D interactions. Thawing these cells is also a critical step, as primary hepatocytes should not be resuspended by pipetting action as this can rapidly lead to cell death. Having cell viability above 85% is critical for successful seeding, as large amounts of cellular debris will interfere with 3D microtissue formation. The QC check of formed liver microtissues at Day 4 is also important, and the user needs to ensure that acceptable levels of LDH and Urea are measured, as out-of-range parameters might be indicative of poor-quality tissue formation and allow straightforward troubleshooting. Finally, the hydrocortisone used in the cell culture media must be prepared fresh on the day of use to prevent any unwanted degradation that might impact cell culture functionality, as it is required to maintain the metabolic functionality of the hepatocytes.
Despite having significant complexity, the liver MPS does not contain all the cell types of the human liver. It is possible to add further cells types to the model24,29 to increase physiological relevance, but these should only be added with a clear justification for the context of use. For studying DILI PHH are the key cell type, and the incorporation of HKCs in this model allows some immunological responses to be determined. It should also be noted that PHHs isolated from human livers and commercially available cryopreserved PHHs tend to demonstrate some variations from lot to lot. We have demonstrated here that this protocol produces reproducible results when used with high-quality preparations of cells. However, some lot-lot variation would be expected, and this could be further overcome by using pooled lots of multiple donors. These limitations could be overcome by using hepatocyte-like cells differentiated from iPSC that recapitulate many functional properties of PHHs and that have been used in the drug development process30. HKCs also show a lot to lot variability and a high level of activation upon thaw; therefore, HKCs donors are pre-validated in-house prior to use in experimental cell culture (coculture with validated PHHs) and must have low levels of post-thaw activation; this is assessed by measuring biomarkers IL-6 and TNF-alpha (see Supplementary Material).
The data presented here confirm that the assay can detect DILI accurately, helping to identify hepatotoxicants that might not be detected by 2D10,11 and even some 3D models. Data generated from MPS are still not used as a standard by the pharmaceutical industry for regulatory submissions or drug screening purposes due to the lack of process standardization and harmonization, including inter-site reproducibility20. The data and experimental approaches demonstrated here address this, showing that the liver model can be used routinely and robustly in DILI screens to accurately predict the liability of novel compounds.
By measuring a range of endpoints to produce a "signature of hepatotoxicity", helping to identify compounds with different levels of DILI concern (including compounds not detectable by other in vitro methods) and their mechanisms of toxicity revealed. This technology can close the gap between traditional cell culture and animal models on one side and human clinical trials, advancing towards the simulation of human biological conditions for the preclinical assessment of liver toxicity as part of the drug development process.
The authors have nothing to disclose.
CN Bio Innovations Ltd. funded this study.
24 well cell culture cluster plates flat bottom | Corning | 3524 | |
96 well clear assay plates, flat bottom clear plastic | Greiner | 655101 | |
96 well plates black flat bottom | Corning | 3915 | |
96 Well White/Clear Bottom Plate, TC Surface | ThermoScientific | 165306 | |
Advanced DMEM (1x) | Gibco | 12491015 | Cell culture media. |
AssayMax Albumin ELISA Kit | AssayPro | EA3201-1 | Dilution 1:250. Time point Day 4, 6, and 8. |
Cell Maintenance Cocktail B, (Primary Hepatocyte Maintenance Supplements) | Gibco | CM4000 | |
CellTiter-Glo 3D Cell Viability Assay | Promega | G9682 | Dilution 1:1. Time point Day 8. |
Chlorpromazine HCl | Sigma Aldrich | C8138 | |
Chromacol blue lids, 9 mm Autosampler Vial Screw Thread Caps | ThermoScientific | 9-SCK(B)-ST1 | glass vial |
Chromacol vials, 9 mm Clear Glass Screw Thread Vials | ThermoScientific | 2-SVW | |
Class 2 Microbiological Safety Cabinets – Trimat2 1500 exhaust | Contained Air Solutions | ||
Conical tubes 50 mL | Greiner | 227261 | |
Cryopreserved Hepatocyte Recovery Medium (CHRM) | ThermoFisher Scientific | Gibco CM7000 | |
Cryopreserved primary human hepatocytes | BioIVT Europe | Lot. RAS | |
CytoTox 96 Cytotoxicty (LDH) Assay Kit | Promega | G1781 | Dilution – none. Time point Day 4, 6 and 8 |
>Data analysis model used to generate the graph and EC:50 curves was nonlinear regression (curve fit) asymmetric sigmoidal, 5PL, where X is log(concentration | GraphPad Prism 9 | ||
Disposable PES Filter Units 500mL | Fisher Scientific | 15913307 | |
Disposable Pipette Basins 50ml | Fisher Scientific | 12369175 | |
DMSO (Dimethyl sulfoxide) | Sigma-Aldrich | Sigma D2650 | |
Dulbeco’s Phosphate Buffered Saline without Ca2+ and Mg2+ (D-PBS) | ThermoFisher Scientific | 14190-144 | |
Easy Reader Conical Polypropylene Centrifuge Tubes 15 mL | Fisher Scientific | 11889640 | |
Foetal bovine serum | Gibco | 10500064 | |
Human ALT ELISA Kit | Abcam | ab 234578 | Dilution 1:5. Time point Day 6 and 8. |
Human Cryopreserved Kupffer Cells | Lonza Europe | Lot. 190088KC | |
hydrocortisone | Merck | H0888-1G | |
Incubators models: New Brunswick Galaxy 170 S, New Brunswick Galaxy 170 R and CellXpert® C170. | Eppendorf | All serviced yearly; paperwork available upon request. | |
Inverted Microscope | Leica DMIL LED | ||
MPS know as Organ-on-a-Chip (OOC) | CN Bio Innovations Ltd. | ||
MPS LC-12 plate | CN Bio Innovations Ltd. | ||
Neubauer Improved C-Chip Disposable Haemocytometer (2 channel) | Cambridge Bioscience | DHC-N01-50 | |
P450-Glo CYP3A4 Assay and Screening System | Promega | V9002 | Dilution – none. Time point Day 8 |
PhysioMimix MPS platform | CN Bio Innovations Ltd. | ||
Pioglitazone | MedChemExpress Tocris | HY-13956/CS-1700 | |
Quantichrom Urea Assay Kit – Bioassay systems | Bioassay Systems | DY970-05 | Dilution 1:2 if initial reading is too high. Time point Day 4, 6 and 8. |
Silica gel | Sigma-Aldrich | S7625 | |
Software used to analyse and generate all the graphs was | GraphPad Prism 9 | ||
Stripettes 10 mL | Fisher Scientific | 11839660 | |
Stripettes 25 mL | Fisher Scientific | 11839181 | |
Thawing plate Cocktail A, (Primary Hepatocyte Thawing and Plating Supplements) | Gibco | CM3000 | |
Troglitazone | MedChemExpress Tocris | 97322-87-7 | |
Trypan Blue Solution, 0.4% | Gibco | 15250061 | |
Tubes 1.5 mL | Greiner | 616201 | |
Weighing balance – model PA214C and AV213C | Ohaus Corp |