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Castanho Martins M, Dixon ED, Lupo G, Claudel T, Trauner M, Rombouts K. Role of PNPLA3 in Hepatic Stellate Cells and Hepatic Cellular Crosstalk. Liver Int 2025; 45:e16117. [PMID: 39394864 PMCID: PMC11891384 DOI: 10.1111/liv.16117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2024] [Revised: 09/16/2024] [Accepted: 09/17/2024] [Indexed: 10/14/2024]
Abstract
AIMS Since its discovery, the patatin-like phospholipase domain containing 3 (PNPLA3) (rs738409 C>G p.I148M) variant has been studied extensively to unravel its molecular function. Although several studies proved a causal relationship between the PNPLA3 I148M variant and MASLD development and particularly fibrosis, the pathological mechanisms promoting this phenotype have not yet been fully clarified. METHODS We summarise the latest data regarding the PNPLA3 I148M variant in hepatic stellate cells (HSCs) activation and macrophage biology or the path to inflammation-induced fibrosis. RESULTS Elegant but contradictory studies have ascribed PNPLA3 a hydrolase or an acyltransferase function. The PNPLA3 I148M results in hepatic lipid accumulation, which predisposes the hepatocyte to lipotoxicity and lipo-apoptosis, producing DAMPs, cytokines and chemokines leading to recruitment and activation of macrophages and HSCs, propagating fibrosis. Recent studies showed that the PNPLA3 I148M variant alters HSCs biology via attenuation of PPARγ, AP-1, LXRα and TGFβ activity and signalling. CONCLUSIONS The advent of refined techniques in isolating HSCs has made PNPLA3's direct role in HSCs for liver fibrosis development more apparent. However, many other mechanisms still need detailed investigations.
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Affiliation(s)
- Maria Castanho Martins
- Regenerative Medicine and Fibrosis Group, Institute for Liver and Digestive HealthUniversity College London, Royal Free CampusLondonUK
| | - Emmanuel Dauda Dixon
- Hans Popper Laboratory of Molecular Hepatology, Department of Internal Medicine IIIMedical University of ViennaViennaAustria
| | - Giulia Lupo
- Regenerative Medicine and Fibrosis Group, Institute for Liver and Digestive HealthUniversity College London, Royal Free CampusLondonUK
| | - Thierry Claudel
- Hans Popper Laboratory of Molecular Hepatology, Department of Internal Medicine IIIMedical University of ViennaViennaAustria
| | - Michael Trauner
- Hans Popper Laboratory of Molecular Hepatology, Department of Internal Medicine IIIMedical University of ViennaViennaAustria
| | - Krista Rombouts
- Regenerative Medicine and Fibrosis Group, Institute for Liver and Digestive HealthUniversity College London, Royal Free CampusLondonUK
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Wang H, Danoy M, Gong Y, Utami T, Arakawa H, Kato Y, Nishikawa M, Sakai Y, Leclerc E. Palmitic Acid Induced a Dedifferentiation Profile at the Transcriptome Level: A Collagen Synthesis but no Triglyceride Accumulation in Hepatocyte-Like Cells Derived From Human-Induced Pluripotent Stem Cells Cultivated Inside Organ on a Chip. J Appl Toxicol 2025; 45:460-471. [PMID: 39506029 DOI: 10.1002/jat.4714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2024] [Revised: 09/24/2024] [Accepted: 10/01/2024] [Indexed: 11/08/2024]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is one of the main causes of critical liver diseases leading to steatosis, steatohepatitis, fibrosis, and ultimately to liver cirrhosis and hepatic carcinoma. In this study, the effect of palmitic acid (PA), one of the most abundant dietary fatty acids, was investigated using an organ-on-a-chip (OoC) technology on hepatocyte-like cells derived from human-induced pluripotent stem cells (hiPSCs). After 1 week of hepatic maturation, followed by 1 week of exposure, the transcriptomic analysis showed lower liver transcription factor activity. It also revealed that 318 genes were differentially expressed between the control and 0.5-mM PA conditions. The 0.5-mM PA conditions were characterized by the downregulation of hepatic markers (liver transcription factors, phase I and phase II metabolism genes) of lipidic genes (metabolism and transport). In parallel, the 0.5-mM PA treatment upregulated several extracellular matrix genes (such as collagen genes). The physiopathological staining demonstrated no lipid accumulation in our model and confirmed the secretion of collagen in the 0.5-mM PA conditions. However, the production of albumin, the metabolic biotransformation by the cytochrome P450 enzymes, and the biliary acid concentrations were not altered by the PA treatments. Overall, our data illustrated the response to PA characterized by an early stage of dedifferentiation observed at the transcriptomic levels associated with a modification of the collagenic profile but without lipid accumulation. We believe that our model provides new insight of the onset of palmitic lipotoxicity in the early stage of NAFLD.
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Affiliation(s)
- Hanyuan Wang
- Department of Chemical System Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan
- CNRS/IIS IRL 2820; Laboratory for Integrated Micro Mechatronic Systems, Institute of Industrial Science, University of Tokyo, Tokyo, Japan
| | - Mathieu Danoy
- Department of Chemical System Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan
| | - Ya Gong
- Department of Chemical System Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan
| | - Tia Utami
- Department of Chemical System Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan
| | - Hiroshi Arakawa
- Faculty of Pharmacy, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan
| | - Yukio Kato
- Faculty of Pharmacy, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan
| | - Masaki Nishikawa
- Department of Chemical System Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan
| | - Yasuyuki Sakai
- Department of Chemical System Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan
- CNRS/IIS IRL 2820; Laboratory for Integrated Micro Mechatronic Systems, Institute of Industrial Science, University of Tokyo, Tokyo, Japan
| | - Eric Leclerc
- CNRS/IIS IRL 2820; Laboratory for Integrated Micro Mechatronic Systems, Institute of Industrial Science, University of Tokyo, Tokyo, Japan
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Hellen DJ, Ungerleider J, Tevonian E, Sphabmixay P, Roy P, Lewis C, Jeppesen J, Demozay D, Griffith LG. A Microphysiological Model of Progressive Human Hepatic Insulin Resistance. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.01.08.631261. [PMID: 39829839 PMCID: PMC11741310 DOI: 10.1101/2025.01.08.631261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/22/2025]
Abstract
Background & Aims Hepatic insulin resistance is a fundamental phenomenon observed in both Type 2 diabetes (T2D) and metabolic (dysfunction) associated fatty liver disease (MAFLD). The relative contributions of nutrients, hyperinsulinemia, hormones, inflammation, and other cues are difficult to parse in vivo as they are convoluted by interplay between the local and systemic events. Here, we used a well-established human liver microphysiological system (MPS) to establish a physiologically-relevant insulin-responsive metabolic baseline and probe how primary human hepatocytes respond to controlled perturbations in insulin, glucose, and free fatty acids (FFAs). Methods Replicate liver MPS were maintained in media with either 200 pM (normal) or 800 pM (T2D) insulin for up to 3 weeks. Conditions of standard glucose (5.5 mM), hyperglycemia (11 mM glucose), normal (20μM) and elevated FFA (100 μM), alone and in combination were used at each insulin concentration, either continuously or reversing back to standard media after 2 weeks of simulated T2D conditions. Hepatic glucose production, activation of signaling pathways, insulin clearance, transcriptome analysis, and intracellular lipid and bile acid accumulation were assessed. Results Hyperinsulinemia alone induces insulin resistance after one week of exposure, while hyperglycemia and increased FFAs significantly exacerbate this phenotype. Hyperinsulinemia, along with elevated glucose and FFAs, transcriptionally predisposes hepatocytes to insulin resistance through altered metabolic and immune signaling pathways. The phenotypes observed in hyperinsulinemia and nutrient overload are partially reversible upon return to normophysiologic conditions. Conclusions Our enhanced in vitro model, replicating multiple aspects of the insulin-resistant condition, offers improved insights into disease mechanisms with relevance to human physiology.
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Affiliation(s)
- Dominick J. Hellen
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139 US
| | - Jessica Ungerleider
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139 US
| | - Erin Tevonian
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139 US
| | - Pierre Sphabmixay
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139 US
| | - Priyatanu Roy
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139 US
| | - Caroline Lewis
- Whitehead Institute for Biomedical Research, Cambridge, MA, 02139 US
| | - Jacob Jeppesen
- Whitehead Institute for Biomedical Research, Cambridge, MA, 02139 US
- Liver Disease, Novo Nordisk A/S, Måløv, Denmark
| | | | - Linda G. Griffith
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139 US
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4
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Youhanna S, Kemas AM, Wright SC, Zhong Y, Klumpp B, Klein K, Motso A, Michel M, Ziegler N, Shang M, Sabatier P, Kannt A, Sheng H, Oliva‐Vilarnau N, Büttner FA, Seashore‐Ludlow B, Schreiner J, Windbergs M, Cornillet M, Björkström NK, Hülsmeier AJ, Hornemann T, Olsen JV, Wang Y, Gramignoli R, Sundström M, Lauschke VM. Chemogenomic Screening in a Patient-Derived 3D Fatty Liver Disease Model Reveals the CHRM1-TRPM8 Axis as a Novel Module for Targeted Intervention. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2025; 12:e2407572. [PMID: 39605182 PMCID: PMC11744578 DOI: 10.1002/advs.202407572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2024] [Revised: 09/19/2024] [Indexed: 11/29/2024]
Abstract
Metabolic dysfunction-associated steatohepatitis (MASH) is a leading cause of chronic liver disease with few therapeutic options. To narrow the translational gap in the development of pharmacological MASH treatments, a 3D liver model from primary human hepatocytes and non-parenchymal cells derived from patients with histologically confirmed MASH was established. The model closely mirrors disease-relevant endpoints, such as steatosis, inflammation and fibrosis, and multi-omics analyses show excellent alignment with biopsy data from 306 MASH patients and 77 controls. By combining high-content imaging with scalable biochemical assays and chemogenomic screening, multiple novel targets with anti-steatotic, anti-inflammatory, and anti-fibrotic effects are identified. Among these, activation of the muscarinic M1 receptor (CHRM1) and inhibition of the TRPM8 cation channel result in strong anti-fibrotic effects, which are confirmed using orthogonal genetic assays. Strikingly, using biosensors based on bioluminescence resonance energy transfer, a functional interaction along a novel MASH signaling axis in which CHRM1 inhibits TRPM8 via Gq/11 and phospholipase C-mediated depletion of phosphatidylinositol 4,5-bisphosphate can be demonstrated. Combined, this study presents the first patient-derived 3D MASH model, identifies a novel signaling module with anti-fibrotic effects, and highlights the potential of organotypic culture systems for phenotype-based chemogenomic drug target identification at scale.
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Velliou RI, Giannousi E, Ralliou C, Kassi E, Chatzigeorgiou A. Ex Vivo Tools and Models in MASLD Research. Cells 2024; 13:1827. [PMID: 39594577 PMCID: PMC11592755 DOI: 10.3390/cells13221827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2024] [Revised: 11/01/2024] [Accepted: 11/02/2024] [Indexed: 11/28/2024] Open
Abstract
Metabolic dysfunction-associated fatty liver disease (MASLD) presents a growing global health challenge with limited therapeutic choices. This review delves into the array of ex vivo tools and models utilized in MASLD research, encompassing liver-on-a-chip (LoC) systems, organoid-derived tissue-like structures, and human precision-cut liver slice (PCLS) systems. Given the urgent need to comprehend MASLD pathophysiology and identify novel therapeutic targets, this paper aims to shed light on the pivotal role of advanced ex vivo models in enhancing disease understanding and facilitating the development of potential therapies. Despite challenges posed by the elusive disease mechanism, these innovative methodologies offer promise in reducing the utilization of in vivo models for MASLD research while accelerating drug discovery and biomarker identification, thereby addressing critical unmet clinical needs.
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Affiliation(s)
- Rallia-Iliana Velliou
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, 75 Mikras Asias Str., 11527 Athens, Greece; (R.-I.V.); (E.G.); (C.R.)
| | - Eirini Giannousi
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, 75 Mikras Asias Str., 11527 Athens, Greece; (R.-I.V.); (E.G.); (C.R.)
| | - Christiana Ralliou
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, 75 Mikras Asias Str., 11527 Athens, Greece; (R.-I.V.); (E.G.); (C.R.)
| | - Eva Kassi
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 75 Mikras Asias Str., 11527 Athens, Greece;
| | - Antonios Chatzigeorgiou
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, 75 Mikras Asias Str., 11527 Athens, Greece; (R.-I.V.); (E.G.); (C.R.)
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6
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Majer J, Alex A, Shi J, Chaney EJ, Mukherjee P, Spillman DR, Marjanovic M, Newman CF, Groseclose RM, Watson PD, Boppart SA, Hood SR. Multimodal imaging of a liver-on-a-chip model using labelled and label-free optical microscopy techniques. LAB ON A CHIP 2024; 24:4594-4608. [PMID: 39258913 PMCID: PMC12013482 DOI: 10.1039/d4lc00504j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2024]
Abstract
A liver-on-a-chip model is an advanced complex in vitro model (CIVM) that incorporates different cell types and extracellular matrix to mimic the microenvironment of the human liver in a laboratory setting. Given the heterogenous and complex nature of liver-on-a-chip models, brightfield and fluorescence-based imaging techniques are widely utilized for assessing the changes occurring in these models with different treatment and environmental conditions. However, the utilization of optical microscopy techniques for structural and functional evaluation of the liver CIVMs have been limited by the reduced light penetration depth and lack of 3D information obtained using these imaging techniques. In this study, the potential of both labelled as well as label-free multimodal optical imaging techniques for visualization and characterization of the cellular and sub-cellular features of a liver-on-a-chip model was investigated. (1) Cellular uptake and distribution of Alexa 488 (A488)-labelled non-targeted and targeted antisense oligonucleotides (ASO and ASO-GalNAc) in the liver-on-a-chip model was determined using multiphoton microscopy. (2) Hyperspectral stimulated Raman scattering (SRS) microscopy of the C-H region was used to determine the heterogeneity of chemical composition of circular and cuboidal hepatocytes in the liver-on-a-chip model in a label-free manner. Additionally, the spatial overlap between the intracellular localization of ASO and lipid droplets was explored using simultaneous hyperspectral SRS and fluorescence microscopy. (3) The capability of light sheet fluorescence microscopy (LSFM) for full-depth 3D visualization of sub-cellular distribution of A488-ASO and cellular phenotypes in the liver-on-a-chip model was demonstrated. In summary, multimodal optical microscopy is a promising platform that can be utilized for visualization and quantification of 3D cellular organization, drug distribution and functional changes occurring in liver-on-a-chip models, and can provide valuable insights into liver biology and drug uptake mechanisms by enabling better characterization of these liver models.
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Affiliation(s)
- Jan Majer
- Pre-Clinical Sciences, Research Technologies, GSK, Stevenage, UK.
- School of Biosciences, Cardiff University, Cardiff, UK.
| | - Aneesh Alex
- Pre-Clinical Sciences, Research Technologies, GSK, Collegeville, PA, USA
- GSK Center for Optical Molecular Imaging, University of Illinois Urbana-Champaign, Urbana, IL, USA.
| | - Jindou Shi
- GSK Center for Optical Molecular Imaging, University of Illinois Urbana-Champaign, Urbana, IL, USA.
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Eric J Chaney
- GSK Center for Optical Molecular Imaging, University of Illinois Urbana-Champaign, Urbana, IL, USA.
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Prabuddha Mukherjee
- GSK Center for Optical Molecular Imaging, University of Illinois Urbana-Champaign, Urbana, IL, USA.
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Darold R Spillman
- GSK Center for Optical Molecular Imaging, University of Illinois Urbana-Champaign, Urbana, IL, USA.
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA
- NIH/NIBIB P41 Center for Label-Free Imaging and Multiscale Biophotonics (CLIMB), University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Marina Marjanovic
- GSK Center for Optical Molecular Imaging, University of Illinois Urbana-Champaign, Urbana, IL, USA.
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA
- NIH/NIBIB P41 Center for Label-Free Imaging and Multiscale Biophotonics (CLIMB), University of Illinois Urbana-Champaign, Urbana, IL, USA
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Carla F Newman
- Pre-Clinical Sciences, Research Technologies, GSK, Stevenage, UK.
| | - Reid M Groseclose
- Pre-Clinical Sciences, Research Technologies, GSK, Collegeville, PA, USA
| | | | - Stephen A Boppart
- GSK Center for Optical Molecular Imaging, University of Illinois Urbana-Champaign, Urbana, IL, USA.
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
- NIH/NIBIB P41 Center for Label-Free Imaging and Multiscale Biophotonics (CLIMB), University of Illinois Urbana-Champaign, Urbana, IL, USA
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
- Interdisciplinary Health Sciences Institute, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Steve R Hood
- Pre-Clinical Sciences, Research Technologies, GSK, Stevenage, UK.
- GSK Center for Optical Molecular Imaging, University of Illinois Urbana-Champaign, Urbana, IL, USA.
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Yang X, Bhowmick K, Rao S, Xiang X, Ohshiro K, Amdur RL, Hassan MI, Mohammad T, Crandall K, Cifani P, Shetty K, Lyons SK, Merrill JR, Vegesna AK, John S, Latham PS, Crawford JM, Mishra B, Dasarathy S, Wang XW, Yu H, Wang Z, Huang H, Krainer AR, Mishra L. Aldehydes alter TGF-β signaling and induce obesity and cancer. Cell Rep 2024; 43:114676. [PMID: 39217614 PMCID: PMC11560041 DOI: 10.1016/j.celrep.2024.114676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 06/24/2024] [Accepted: 08/08/2024] [Indexed: 09/04/2024] Open
Abstract
Obesity and fatty liver diseases-metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH)-affect over one-third of the global population and are exacerbated in individuals with reduced functional aldehyde dehydrogenase 2 (ALDH2), observed in approximately 560 million people. Current treatment to prevent disease progression to cancer remains inadequate, requiring innovative approaches. We observe that Aldh2-/- and Aldh2-/-Sptbn1+/- mice develop phenotypes of human metabolic syndrome (MetS) and MASH with accumulation of endogenous aldehydes such as 4-hydroxynonenal (4-HNE). Mechanistic studies demonstrate aberrant transforming growth factor β (TGF-β) signaling through 4-HNE modification of the SMAD3 adaptor SPTBN1 (β2-spectrin) to pro-fibrotic and pro-oncogenic phenotypes, which is restored to normal SMAD3 signaling by targeting SPTBN1 with small interfering RNA (siRNA). Significantly, therapeutic inhibition of SPTBN1 blocks MASH and fibrosis in a human model and, additionally, improves glucose handling in Aldh2-/- and Aldh2-/-Sptbn1+/- mice. This study identifies SPTBN1 as a critical regulator of the functional phenotype of toxic aldehyde-induced MASH and a potential therapeutic target.
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Affiliation(s)
- Xiaochun Yang
- Institute for Bioelectronic Medicine, Divisions of Gastroenterology and Hepatology, Department of Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Krishanu Bhowmick
- Institute for Bioelectronic Medicine, Divisions of Gastroenterology and Hepatology, Department of Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Shuyun Rao
- Department of Surgery, George Washington University, Washington, DC 20037, USA
| | - Xiyan Xiang
- Institute for Bioelectronic Medicine, Divisions of Gastroenterology and Hepatology, Department of Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Kazufumi Ohshiro
- Institute for Bioelectronic Medicine, Divisions of Gastroenterology and Hepatology, Department of Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA
| | - Richard L Amdur
- Quantitative Intelligence Unit, The Institutes for Health Systems Science & Bioelectronic Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA
| | - Md Imtaiyaz Hassan
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India
| | - Taj Mohammad
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India
| | - Keith Crandall
- Computational Biology Institute, Department of Biostatistics and Bioinformatics, George Washington University, Washington, DC 20037, USA
| | - Paolo Cifani
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Kirti Shetty
- Department of Gastroenterology and Hepatology, the University of Maryland, School of Medicine, Baltimore, MD 21201, USA
| | - Scott K Lyons
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Joseph R Merrill
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Anil K Vegesna
- Institute for Bioelectronic Medicine, Divisions of Gastroenterology and Hepatology, Department of Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Sahara John
- Institute for Bioelectronic Medicine, Divisions of Gastroenterology and Hepatology, Department of Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Patricia S Latham
- Department of Pathology, George Washington University, Washington, DC 20037, USA
| | - James M Crawford
- Department of Pathology and Laboratory Medicine, Donald and Barbara Zucker School of Medicine at Hofstra, Northwell Health, Manhasset, NY 11030, USA
| | - Bibhuti Mishra
- Institute for Bioelectronic Medicine, Divisions of Gastroenterology and Hepatology, Department of Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; Department of Neurology, Northwell Health, Manhasset, NY 11030, USA
| | - Srinivasan Dasarathy
- Division of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, OH 44106, USA
| | - Xin Wei Wang
- Laboratory of Human Carcinogenesis, Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Herbert Yu
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Zhanwei Wang
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Hai Huang
- Center for Immunology and Inflammation, Feinstein Institutes for Medical Research, Donald and Barbara Zucker School of Medicine at Hofstra, Northwell Health, Manhasset, NY 11030, USA
| | - Adrian R Krainer
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Lopa Mishra
- Institute for Bioelectronic Medicine, Divisions of Gastroenterology and Hepatology, Department of Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA; Department of Surgery, George Washington University, Washington, DC 20037, USA.
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8
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Xia M, Varmazyad M, Pla-Palacín I, Gavlock DC, DeBiasio R, LaRocca G, Reese C, Florentino RM, Faccioli LAP, Brown JA, Vernetti LA, Schurdak M, Stern AM, Gough A, Behari J, Soto-Gutierrez A, Taylor DL, Miedel MT. Comparison of wild-type and high-risk PNPLA3 variants in a human biomimetic liver microphysiology system for metabolic dysfunction-associated steatotic liver disease precision therapy. Front Cell Dev Biol 2024; 12:1423936. [PMID: 39324073 PMCID: PMC11422722 DOI: 10.3389/fcell.2024.1423936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Accepted: 08/16/2024] [Indexed: 09/27/2024] Open
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a worldwide health epidemic with a global occurrence of approximately 30%. The pathogenesis of MASLD is a complex, multisystem disorder driven by multiple factors, including genetics, lifestyle, and the environment. Patient heterogeneity presents challenges in developing MASLD therapeutics, creating patient cohorts for clinical trials, and optimizing therapeutic strategies for specific patient cohorts. Implementing pre-clinical experimental models for drug development creates a significant challenge as simple in vitro systems and animal models do not fully recapitulate critical steps in the pathogenesis and the complexity of MASLD progression. To address this, we implemented a precision medicine strategy that couples the use of our liver acinus microphysiology system (LAMPS) constructed with patient-derived primary cells. We investigated the MASLD-associated genetic variant patatin-like phospholipase domain-containing protein 3 (PNPLA3) rs738409 (I148M variant) in primary hepatocytes as it is associated with MASLD progression. We constructed the LAMPS with genotyped wild-type and variant PNPLA3 hepatocytes, together with key non-parenchymal cells, and quantified the reproducibility of the model. We altered media components to mimic blood chemistries, including insulin, glucose, free fatty acids, and immune-activating molecules to reflect normal fasting (NF), early metabolic syndrome (EMS), and late metabolic syndrome (LMS) conditions. Finally, we investigated the response to treatment with resmetirom, an approved drug for metabolic syndrome-associated steatohepatitis (MASH), the progressive form of MASLD. This study, using primary cells, serves as a benchmark for studies using "patient biomimetic twins" constructed with patient induced pluripotent stem cell (iPSC)-derived liver cells using a panel of reproducible metrics. We observed increased steatosis, immune activation, stellate cell activation, and secretion of pro-fibrotic markers in the PNPLA3 GG variant compared to the wild-type CC LAMPS, consistent with the clinical characterization of this variant. We also observed greater resmetirom efficacy in the PNPLA3 wild-type CC LAMPS compared to the GG variant in multiple MASLD metrics, including steatosis, stellate cell activation, and the secretion of pro-fibrotic markers. In conclusion, our study demonstrates the capability of the LAMPS platform for the development of MASLD precision therapeutics, enrichment of patient cohorts for clinical trials, and optimization of therapeutic strategies for patient subgroups with different clinical traits and disease stages.
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Affiliation(s)
- Mengying Xia
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, United States
| | - Mahboubeh Varmazyad
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, United States
| | - Iris Pla-Palacín
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, United States
| | - Dillon C. Gavlock
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, United States
| | - Richard DeBiasio
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, United States
| | - Gregory LaRocca
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, United States
| | - Celeste Reese
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, United States
| | - Rodrigo M. Florentino
- Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
- Center for Transcriptional Medicine, University of Pittsburgh, Pittsburgh, PA, United States
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA, United States
| | - Lanuza A. P. Faccioli
- Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
- Center for Transcriptional Medicine, University of Pittsburgh, Pittsburgh, PA, United States
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA, United States
| | - Jacquelyn A. Brown
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, United States
- Department of Computational and System Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Lawrence A. Vernetti
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, United States
- Department of Computational and System Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Mark Schurdak
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, United States
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA, United States
- Department of Computational and System Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Andrew M. Stern
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, United States
- Department of Computational and System Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Albert Gough
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, United States
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA, United States
| | - Jaideep Behari
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA, United States
- Division of Gastroenterology, Hepatology and Nutrition, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Alejandro Soto-Gutierrez
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, United States
- Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
- Center for Transcriptional Medicine, University of Pittsburgh, Pittsburgh, PA, United States
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA, United States
| | - D. Lansing Taylor
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, United States
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA, United States
- Department of Computational and System Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Mark T. Miedel
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, United States
- Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA, United States
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9
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Rupar MJ, Hanson H, Rogers S, Botlick B, Trimmer S, Hickman JJ. Modelling the innate immune system in microphysiological systems. LAB ON A CHIP 2024; 24:3604-3625. [PMID: 38957150 PMCID: PMC11264333 DOI: 10.1039/d3lc00812f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 05/09/2024] [Indexed: 07/04/2024]
Abstract
This critical review aims to highlight how modeling of the immune response has adapted over time to utilize microphysiological systems. Topics covered here will discuss the integral components of the immune system in various human body systems, and how these interactions are modeled using these systems. Through the use of microphysiological systems, we have not only expanded on foundations of basic immune cell information, but have also gleaned insight on how immune cells work both independently and collaboratively within an entire human body system.
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Affiliation(s)
- Michael J Rupar
- Hesperos, Inc., 12501 Research Parkway, Suite 100, Orlando, FL 32826, USA.
| | - Hannah Hanson
- Hesperos, Inc., 12501 Research Parkway, Suite 100, Orlando, FL 32826, USA.
| | - Stephanie Rogers
- Hesperos, Inc., 12501 Research Parkway, Suite 100, Orlando, FL 32826, USA.
| | - Brianna Botlick
- Hesperos, Inc., 12501 Research Parkway, Suite 100, Orlando, FL 32826, USA.
| | - Steven Trimmer
- Hesperos, Inc., 12501 Research Parkway, Suite 100, Orlando, FL 32826, USA.
| | - James J Hickman
- Hesperos, Inc., 12501 Research Parkway, Suite 100, Orlando, FL 32826, USA.
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10
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Caon E, Martins M, Hodgetts H, Blanken L, Vilia MG, Levi A, Thanapirom K, Al-Akkad W, Abu-Hanna J, Baselli G, Hall AR, Luong TV, Taanman JW, Vacca M, Valenti L, Romeo S, Mazza G, Pinzani M, Rombouts K. Exploring the impact of the PNPLA3 I148M variant on primary human hepatic stellate cells using 3D extracellular matrix models. J Hepatol 2024; 80:941-956. [PMID: 38365182 DOI: 10.1016/j.jhep.2024.01.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 01/24/2024] [Accepted: 01/27/2024] [Indexed: 02/18/2024]
Abstract
BACKGROUND & AIMS The PNPLA3 rs738409 C>G (encoding for I148M) variant is a risk locus for the fibrogenic progression of chronic liver diseases, a process driven by hepatic stellate cells (HSCs). We investigated how the PNPLA3 I148M variant affects HSC biology using transcriptomic data and validated findings in 3D-culture models. METHODS RNA sequencing was performed on 2D-cultured primary human HSCs and liver biopsies of individuals with obesity, genotyped for the PNPLA3 I148M variant. Data were validated in wild-type (WT) or PNPLA3 I148M variant-carrying HSCs cultured on 3D extracellular matrix (ECM) scaffolds from human healthy and cirrhotic livers, with/without TGFB1 or cytosporone B (Csn-B) treatment. RESULTS Transcriptomic analyses of liver biopsies and HSCs highlighted shared PNPLA3 I148M-driven dysregulated pathways related to mitochondrial function, antioxidant response, ECM remodelling and TGFB1 signalling. Analogous pathways were dysregulated in WT/PNPLA3-I148M HSCs cultured in 3D liver scaffolds. Mitochondrial dysfunction in PNPLA3-I148M cells was linked to respiratory chain complex IV insufficiency. Antioxidant capacity was lower in PNPLA3-I148M HSCs, while reactive oxygen species secretion was increased in PNPLA3-I148M HSCs and higher in bioengineered cirrhotic vs. healthy scaffolds. TGFB1 signalling followed the same trend. In PNPLA3-I148M cells, expression and activation of the endogenous TGFB1 inhibitor NR4A1 were decreased: treatment with the Csn-B agonist increased total NR4A1 in HSCs cultured in healthy but not in cirrhotic 3D scaffolds. NR4A1 regulation by TGFB1/Csn-B was linked to Akt signalling in PNPLA3-WT HSCs and to Erk signalling in PNPLA3-I148M HSCs. CONCLUSION HSCs carrying the PNPLA3 I148M variant have impaired mitochondrial function, antioxidant responses, and increased TGFB1 signalling, which dampens antifibrotic NR4A1 activity. These features are exacerbated by cirrhotic ECM, highlighting the dual impact of the PNPLA3 I148M variant and the fibrotic microenvironment in progressive chronic liver diseases. IMPACT AND IMPLICATIONS Hepatic stellate cells (HSCs) play a key role in the fibrogenic process associated with chronic liver disease. The PNPLA3 genetic mutation has been linked with increased risk of fibrogenesis, but its role in HSCs requires further investigation. Here, by using comparative transcriptomics and a novel 3D in vitro model, we demonstrate the impact of the PNPLA3 genetic mutation on primary human HSCs' behaviour, and we show that it affects the cell's mitochondrial function and antioxidant response, as well as the antifibrotic gene NR4A1. Our publicly available transcriptomic data, 3D platform and our findings on NR4A1 could facilitate the discovery of targets to develop more effective treatments for chronic liver diseases.
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Affiliation(s)
- Elisabetta Caon
- Regenerative Medicine and Fibrosis Group, Institute for Liver and Digestive Health, University College London, Royal Free Campus, London, UK
| | - Maria Martins
- Regenerative Medicine and Fibrosis Group, Institute for Liver and Digestive Health, University College London, Royal Free Campus, London, UK
| | - Harry Hodgetts
- Regenerative Medicine and Fibrosis Group, Institute for Liver and Digestive Health, University College London, Royal Free Campus, London, UK
| | - Lieke Blanken
- Regenerative Medicine and Fibrosis Group, Institute for Liver and Digestive Health, University College London, Royal Free Campus, London, UK
| | - Maria Giovanna Vilia
- Regenerative Medicine and Fibrosis Group, Institute for Liver and Digestive Health, University College London, Royal Free Campus, London, UK
| | - Ana Levi
- Regenerative Medicine and Fibrosis Group, Institute for Liver and Digestive Health, University College London, Royal Free Campus, London, UK
| | - Kessarin Thanapirom
- Regenerative Medicine and Fibrosis Group, Institute for Liver and Digestive Health, University College London, Royal Free Campus, London, UK
| | - Walid Al-Akkad
- Regenerative Medicine and Fibrosis Group, Institute for Liver and Digestive Health, University College London, Royal Free Campus, London, UK
| | - Jeries Abu-Hanna
- Research Department of Surgical Biotechnology, Division of Surgery and Interventional Science, University College London, London, UK
| | - Guido Baselli
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
| | - Andrew R Hall
- Sheila Sherlock Liver Centre, Royal Free London NHS Foundation Trust, London, UK; Department of Cellular Pathology, Royal Free London NHS Foundation Trust, London, UK
| | - Tu Vinh Luong
- Sheila Sherlock Liver Centre, Royal Free London NHS Foundation Trust, London, UK; Department of Cellular Pathology, Royal Free London NHS Foundation Trust, London, UK
| | - Jan-Willem Taanman
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London UK
| | - Michele Vacca
- Laboratory of Hepatic Metabolism and NAFLD, Roger Williams Institute of Hepatology, London, UK; Clinica Medica "Frugoni", Interdisciplinary Department of Medicine, University of Bari "Aldo Moro", Bari, Italy
| | - Luca Valenti
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy; Precision Medicine, Biological Resource Center, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Stefano Romeo
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, Wallenberg Laboratory, University of Gothenburg, Gothenburg, Sweden
| | - Giuseppe Mazza
- Regenerative Medicine and Fibrosis Group, Institute for Liver and Digestive Health, University College London, Royal Free Campus, London, UK
| | - Massimo Pinzani
- Regenerative Medicine and Fibrosis Group, Institute for Liver and Digestive Health, University College London, Royal Free Campus, London, UK
| | - Krista Rombouts
- Regenerative Medicine and Fibrosis Group, Institute for Liver and Digestive Health, University College London, Royal Free Campus, London, UK.
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11
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Xia M, Varmazyad M, Palacin IP, Gavlock DC, Debiasio R, LaRocca G, Reese C, Florentino R, Faccioli LAP, Brown JA, Vernetti LA, Schurdak ME, Stern AM, Gough A, Behari J, Soto-Gutierrez A, Taylor DL, Miedel M. Comparison of Wild-Type and High-risk PNPLA3 variants in a Human Biomimetic Liver Microphysiology System for Metabolic Dysfunction-associated Steatotic Liver Disease Precision Therapy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.22.590608. [PMID: 38712213 PMCID: PMC11071381 DOI: 10.1101/2024.04.22.590608] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a worldwide health epidemic with a global occurrence of approximately 30%. The pathogenesis of MASLD is a complex, multisystem disorder driven by multiple factors including genetics, lifestyle, and the environment. Patient heterogeneity presents challenges for developing MASLD therapeutics, creation of patient cohorts for clinical trials and optimization of therapeutic strategies for specific patient cohorts. Implementing pre-clinical experimental models for drug development creates a significant challenge as simple in vitro systems and animal models do not fully recapitulate critical steps in the pathogenesis and the complexity of MASLD progression. To address this, we implemented a precision medicine strategy that couples the use of our liver acinus microphysiology system (LAMPS) constructed with patient-derived primary cells. We investigated the MASLD-associated genetic variant PNPLA3 rs738409 (I148M variant) in primary hepatocytes, as it is associated with MASLD progression. We constructed LAMPS with genotyped wild type and variant PNPLA3 hepatocytes together with key non-parenchymal cells and quantified the reproducibility of the model. We altered media components to mimic blood chemistries, including insulin, glucose, free fatty acids, and immune activating molecules to reflect normal fasting (NF), early metabolic syndrome (EMS) and late metabolic syndrome (LMS) conditions. Finally, we investigated the response to treatment with resmetirom, an approved drug for metabolic syndrome-associated steatohepatitis (MASH), the progressive form of MASLD. This study using primary cells serves as a benchmark for studies using patient biomimetic twins constructed with patient iPSC-derived liver cells using a panel of reproducible metrics. We observed increased steatosis, immune activation, stellate cell activation and secretion of pro-fibrotic markers in the PNPLA3 GG variant compared to wild type CC LAMPS, consistent with the clinical characterization of this variant. We also observed greater resmetirom efficacy in PNPLA3 wild type CC LAMPS compared to the GG variant in multiple MASLD metrics including steatosis, stellate cell activation and the secretion of pro-fibrotic markers. In conclusion, our study demonstrates the capability of the LAMPS platform for the development of MASLD precision therapeutics, enrichment of patient cohorts for clinical trials, and optimization of therapeutic strategies for patient subgroups with different clinical traits and disease stages.
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12
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Shukla M, Malik S, Pandya A. Lab on chip for testing of repurposed drugs. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2024; 205:71-90. [PMID: 38789187 DOI: 10.1016/bs.pmbts.2024.03.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2024]
Abstract
The lab-on-chip technique broadly comprises of microfluidics and aims to progress multidimensionally by changing the outlook of medicine and pharmaceuticals as it finds it roots in miniaturization. Moreover, microfluidics facilitates precise physiological simulation and possesses biological system-mimicking capabilities for drug development and repurposing. Thus, organs on chip could pave a revolutionary pathway in the field of drug development and repurposing by reducing animal testing and improving drug repurposing.
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Affiliation(s)
- Malvika Shukla
- Department of Biotechnology and Bioengineering, Institute of Advanced Research, Gandhinagar, Gujarat, India
| | - Saloni Malik
- Department of Biotechnology and Bioengineering, Institute of Advanced Research, Gandhinagar, Gujarat, India
| | - Alok Pandya
- Department of Biotechnology and Bioengineering, Institute of Advanced Research, Gandhinagar, Gujarat, India; Department of Nanoengineering, University of California San Diego, La Jolla, CA, United States.
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13
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Kirchmeyer M, Gaigneaux A, Servais FA, Arslanow A, Casper M, Krawczyk M, Lammert F, Behrmann I. Altered profiles of circulating cytokines in chronic liver diseases (NAFLD/HCC): Impact of the PNPLA3I148M risk allele. Hepatol Commun 2023; 7:e0306. [PMID: 38015590 PMCID: PMC10667005 DOI: 10.1097/hc9.0000000000000306] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 09/02/2023] [Indexed: 11/29/2023] Open
Abstract
BACKGROUND Individuals carrying the risk variant p.I148M of patatin-like phospholipase domain-containing protein 3 (PNPLA3) have a higher susceptibility to fatty liver diseases and associated complications, including HCC, a cancer closely linked to chronic inflammation. Here, we assessed circulating cytokine profiles for patients with chronic liver diseases genotyped for PNPLA3. METHODS Serum concentrations of 22 cytokines were measured by multiplex sandwich-ELISA. The cohort comprised 123 individuals: 67 patients with NAFLD without cirrhosis (57 steatosis, 10 NASH), 24 patients with NAFLD with cirrhosis, 21 patients with HCC (15 cirrhosis), and 11 healthy controls. Receiver operator characteristic analyses were performed to assess the suitability of the cytokine profiles for the prediction of steatosis, cirrhosis, and HCC. RESULTS HGF, IL-6, and IL-8 levels were increased in patients, with ∼2-fold higher levels in patients with cirrhosis versus healthy, while platelet derived growth factor-BB (PDGF-BB) and regulated on activation, normal T cell expressed and secreted (RANTES) showed lower concentrations compared to controls. Migration inhibitory factor and monocyte chemoattractant protein-1 (MCP-1) were found at higher levels in NAFLD samples (maximum: NAFLD-cirrhosis) versus healthy controls and HCC samples. In receiver operator characteristic analyses, migration inhibitory factor, IL-8, IL-6, and monocyte chemoattractant protein-1 yielded high sensitivity scores for predicting noncirrhotic NAFLD (vs. healthy). The top combination to predict cirrhosis was HGF plus PDGF-BB. Migration inhibitory factor performed best to discriminate HCC from NAFLD; the addition of monokine induced gamma (MIG), RANTES, IL-4, macrophage colony-stimulating factor (M-CSF), or IL-17A as second parameters further increased the AUC values (> 0.9). No significant impact of the PNPLA3I148M allele on cytokine levels was observed in this cohort. CONCLUSIONS Cytokines have biomarker potential in patients with fatty liver, possibly suited for early HCC detection in patients with fatty liver. Patients carrying the PNPLA3 risk allele did not present significantly different levels of circulating cytokines.
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Affiliation(s)
- Mélanie Kirchmeyer
- Department of Life Sciences and Medicine, University of Luxembourg, Luxembourg
| | - Anthoula Gaigneaux
- Department of Life Sciences and Medicine, University of Luxembourg, Luxembourg
| | - Florence A. Servais
- Department of Life Sciences and Medicine, University of Luxembourg, Luxembourg
| | - Anita Arslanow
- Department of Medicine II, Saarland University Medical Center, Homburg, Germany
- Fundació de Recerca Clínic Barcelona-Institut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Markus Casper
- Department of Medicine II, Saarland University Medical Center, Homburg, Germany
| | - Marcin Krawczyk
- Department of Medicine II, Saarland University Medical Center, Homburg, Germany
| | - Frank Lammert
- Department of Medicine II, Saarland University Medical Center, Homburg, Germany
- Health Sciences, Hannover Medical School MHH, Hannover, Germany
| | - Iris Behrmann
- Department of Life Sciences and Medicine, University of Luxembourg, Luxembourg
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14
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Negi V, Gavlock D, Miedel MT, Lee JK, Shun T, Gough A, Vernetti L, Stern AM, Taylor DL, Yechoor VK. Modeling mechanisms underlying differential inflammatory responses to COVID-19 in type 2 diabetes using a patient-derived microphysiological organ-on-a-chip system. LAB ON A CHIP 2023; 23:4514-4527. [PMID: 37766577 DOI: 10.1039/d3lc00285c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/29/2023]
Abstract
Background: COVID-19 pandemic has caused more than 6 million deaths worldwide. Co-morbid conditions such as Type 2 Diabetes (T2D) have increased mortality in COVID-19. With limited translatability of in vitro and small animal models to human disease, human organ-on-a-chip models are an attractive platform to model in vivo disease conditions and test potential therapeutics. Methods: T2D or non-diabetic patient-derived macrophages and human liver sinusoidal endothelial cells were seeded, along with normal hepatocytes and stellate cells in the liver-on-a-chip (LAMPS - liver acinus micro physiological system), perfused with media mimicking non-diabetic fasting or T2D (high levels of glucose, fatty acids, insulin, glucagon) states. The macrophages and endothelial cells were transduced to overexpress the SARS-CoV2-S (spike) protein with appropriate controls before their incorporation into LAMPS. Cytokine concentrations in the efflux served as a read-out of the effects of S-protein expression in the different experimental conditions (non-diabetic-LAMPS, T2D-LAMPS), including incubation with tocilizumab, an FDA-approved drug for severe COVID-19. Findings: S-protein expression in the non-diabetic LAMPS led to increased cytokines, but in the T2D-LAMPS, this was significantly amplified both in the number and magnitude of key pro-inflammatory cytokines (IL6, CCL3, IL1β, IL2, TNFα, etc.) involved in cytokine storm syndrome (CSS), mimicking severe COVID-19 infection in T2D patients. Compared to vehicle control, tocilizumab (IL6-receptor antagonist) decreased the pro-inflammatory cytokine secretion in T2D-COVID-19-LAMPS but not in non-diabetic-COVID-19-LAMPS. Interpretation: macrophages and endothelial cells play a synergistic role in the pathophysiology of the hyper-inflammatory response seen with COVID-19 and T2D. The effect of Tocilizumab was consistent with large clinical trials that demonstrated Tocilizumab's efficacy only in critically ill patients with severe disease, providing confirmatory evidence that the T2D-COVID-19-LAMPS is a robust platform to model human in vivo pathophysiology of COVID-19 in T2D and for screening potential therapeutics.
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Affiliation(s)
- Vinny Negi
- Diabetes and Beta Cell Biology Center, Division of Endocrinology and Metabolism, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Dillon Gavlock
- Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mark T Miedel
- Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jeong Kyung Lee
- Diabetes and Beta Cell Biology Center, Division of Endocrinology and Metabolism, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Tongying Shun
- Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Albert Gough
- Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lawrence Vernetti
- Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Andrew M Stern
- Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - D Lansing Taylor
- Drug Discovery Institute and Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Vijay K Yechoor
- Diabetes and Beta Cell Biology Center, Division of Endocrinology and Metabolism, University of Pittsburgh, Pittsburgh, PA, USA.
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15
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Wang S, Friedman SL. Found in translation-Fibrosis in metabolic dysfunction-associated steatohepatitis (MASH). Sci Transl Med 2023; 15:eadi0759. [PMID: 37792957 PMCID: PMC10671253 DOI: 10.1126/scitranslmed.adi0759] [Citation(s) in RCA: 50] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Accepted: 09/15/2023] [Indexed: 10/06/2023]
Abstract
Metabolic dysfunction-associated steatohepatitis (MASH) is a severe form of liver disease that poses a global health threat because of its potential to progress to advanced fibrosis, leading to cirrhosis and liver cancer. Recent advances in single-cell methodologies, refined disease models, and genetic and epigenetic insights have provided a nuanced understanding of MASH fibrogenesis, with substantial cellular heterogeneity in MASH livers providing potentially targetable cell-cell interactions and behavior. Unlike fibrogenesis, mechanisms underlying fibrosis regression in MASH are still inadequately understood, although antifibrotic targets have been recently identified. A refined antifibrotic treatment framework could lead to noninvasive assessment and targeted therapies that preserve hepatocellular function and restore the liver's architectural integrity.
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Affiliation(s)
- Shuang Wang
- Division of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Scott L. Friedman
- Division of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY 10029
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16
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Cottier KE, Bhalerao D, Lewis C, Gaffney J, Heyward SA. Micropatterned primary hepatocyte co-culture (HEPATOPAC) for fatty liver disease modeling and drug screening. Sci Rep 2023; 13:15837. [PMID: 37739978 PMCID: PMC10517001 DOI: 10.1038/s41598-023-42785-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 09/14/2023] [Indexed: 09/24/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a highly prevalent, progressive disorder and growing public health concern. To address this issue considerable research has been undertaken in pursuit of new NAFLD therapeutics. Development of effective, high-throughput in vitro models is an important aspect of drug discovery. Here, a micropatterned hepatocyte co-culture (MPCC) was used to model liver steatosis. The MPCC model (HEPATOPACTM) is comprised of hepatocytes and 3T3-J2 mouse stromal cells plated onto a patterned standard 96-well or 24-well plate, allowing the cultures to be handled and imaged in a standardized multi-well format. These studies employed high content imaging (HCI) analysis to assess lipid content in cultures. HCI analysis of lipid accumulation allows large numbers of samples to be imaged and analyzed in a relatively short period of time compared to manual acquisition and analysis methods. Treatment of MPCC with free fatty acids (FFA), high glucose and fructose (HGF), or a combination of both induces hepatic steatosis. MPCC treatment with ACC1/ACC2 inhibitors, as either a preventative or reversal agent, showed efficacy against FFA induced hepatic steatosis. Drug induced steatosis was also evaluated. Treatment with valproic acid showed steatosis induction in a lean background, which was significantly potentiated in a fatty liver background. Additionally, these media treatments changed expression of fatty liver related genes. Treatment of MPCC with FFA, HGF, or a combination reversibly altered expression of genes involved in fatty acid metabolism, insulin signaling, and lipid transport. Together, these data demonstrate that MPCC is an easy to use, long-term functional in vitro model of NAFLD having utility for compound screening, drug toxicity evaluation, and assessment of gene regulation.
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17
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Fang J, Celton-Morizur S, Desdouets C. NAFLD-Related HCC: Focus on the Latest Relevant Preclinical Models. Cancers (Basel) 2023; 15:3723. [PMID: 37509384 PMCID: PMC10377912 DOI: 10.3390/cancers15143723] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 07/17/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer and one of the deadliest cancers worldwide. Despite extensive research, the biological mechanisms underlying HCC's development and progression remain only partially understood. Chronic overeating and/or sedentary-lifestyle-associated obesity, which promote Non-Alcoholic Fatty Liver Disease (NAFLD), have recently emerged as worrying risk factors for HCC. NAFLD is characterized by excessive hepatocellular lipid accumulation (steatosis) and affects one quarter of the world's population. Steatosis progresses in the more severe inflammatory form, Non-Alcoholic Steatohepatitis (NASH), potentially leading to HCC. The incidence of NASH is expected to increase by up to 56% over the next 10 years. Better diagnoses and the establishment of effective treatments for NAFLD and HCC will require improvements in our understanding of the fundamental mechanisms of the disease's development. This review describes the pathogenesis of NAFLD and the mechanisms underlying the transition from NAFL/NASH to HCC. We also discuss a selection of appropriate preclinical models of NAFLD for research, from cellular models such as liver-on-a-chip models to in vivo models, focusing particularly on mouse models of dietary NAFLD-HCC.
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Affiliation(s)
- Jing Fang
- Centre de Recherche des Cordeliers, INSERM, Sorbonne Université, Université de Paris, 75006 Paris, France
- Genomic Instability, Metabolism, Immunity and Liver Tumorigenesis Laboratory, Equipe Labellisée Ligue Contre le Cancer, 75005 Paris, France
| | - Séverine Celton-Morizur
- Centre de Recherche des Cordeliers, INSERM, Sorbonne Université, Université de Paris, 75006 Paris, France
- Genomic Instability, Metabolism, Immunity and Liver Tumorigenesis Laboratory, Equipe Labellisée Ligue Contre le Cancer, 75005 Paris, France
| | - Chantal Desdouets
- Centre de Recherche des Cordeliers, INSERM, Sorbonne Université, Université de Paris, 75006 Paris, France
- Genomic Instability, Metabolism, Immunity and Liver Tumorigenesis Laboratory, Equipe Labellisée Ligue Contre le Cancer, 75005 Paris, France
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18
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Rezvani M, Vallier L, Guillot A. Modeling Nonalcoholic Fatty Liver Disease in the Dish Using Human-Specific Platforms: Strategies and Limitations. Cell Mol Gastroenterol Hepatol 2023; 15:1135-1145. [PMID: 36740045 PMCID: PMC10031472 DOI: 10.1016/j.jcmgh.2023.01.014] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 01/27/2023] [Accepted: 01/30/2023] [Indexed: 02/07/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is a chronic liver disease affecting multiple cell types of the human liver. The high prevalence of NAFLD and the lack of approved therapies increase the demand for reliable models for the preclinical discovery of drug targets. In the last decade, multiple proof-of-principle studies have demonstrated human-specific NAFLD modeling in the dish. These systems have included technologies based on human induced pluripotent stem cell derivatives, liver tissue section cultures, intrahepatic cholangiocyte organoids, and liver-on-a-chip. These platforms differ in functional maturity, multicellularity, scalability, and spatial organization. Identifying an appropriate model for a specific NAFLD-related research question is challenging. Therefore, we review different platforms for their strengths and limitations in modeling NAFLD. To define the fidelity of the current human in vitro NAFLD models in depth, we define disease hallmarks within the NAFLD spectrum that range from steatosis to severe fibroinflammatory tissue injury. We discuss how the most common methods are efficacious in modeling genetic contributions and aspects of the early NAFLD-related tissue response. We also highlight the shortcoming of current models to recapitulate the complexity of inter-organ crosstalk and the chronic process of liver fibrosis-to-cirrhosis that usually takes decades in patients. Importantly, we provide methodological overviews and discuss implementation hurdles (eg, reproducibility or costs) to help choose the most appropriate NAFLD model for the individual research focus: hepatocyte injury, ductular reaction, cellular crosstalk, or other applications. In sum, we highlight current strategies and deficiencies to model NAFLD in the dish and propose a framework for the next generation of human-specific investigations.
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Affiliation(s)
- Milad Rezvani
- Charité Universitätsmedizin Berlin, Department of Pediatric Gastroenterology, Nephrology and Metabolic Medicine, Berlin, Germany; Division of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Berlin Institute of Health, Center for Regenerative Therapies (BCRT), Berlin, Germany; Berlin Institute of Health, Clinician-Scientist Program, Berlin, Germany
| | - Ludovic Vallier
- Berlin Institute of Health, Center for Regenerative Therapies (BCRT), Berlin, Germany; Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Adrien Guillot
- Charité Universitätsmedizin Berlin, Campus Virchow-Klinikum and Campus Charité Mitte, Department of Hepatology & Gastroenterology, Berlin, Germany.
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McDuffie D, Barr D, Helm M, Baumert T, Agarwal A, Thomas E. Physiomimetic In Vitro Human Models for Viral Infection in the Liver. Semin Liver Dis 2023; 43:31-49. [PMID: 36402129 PMCID: PMC10005888 DOI: 10.1055/a-1981-5944] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Viral hepatitis is a leading cause of liver morbidity and mortality globally. The mechanisms underlying acute infection and clearance, versus the development of chronic infection, are poorly understood. In vitro models of viral hepatitis circumvent the high costs and ethical considerations of animal models, which also translate poorly to studying the human-specific hepatitis viruses. However, significant challenges are associated with modeling long-term infection in vitro. Differentiated hepatocytes are best able to sustain chronic viral hepatitis infection, but standard two-dimensional models are limited because they fail to mimic the architecture and cellular microenvironment of the liver, and cannot maintain a differentiated hepatocyte phenotype over extended periods. Alternatively, physiomimetic models facilitate important interactions between hepatocytes and their microenvironment by incorporating liver-specific environmental factors such as three-dimensional ECM interactions and co-culture with non-parenchymal cells. These physiologically relevant interactions help maintain a functional hepatocyte phenotype that is critical for sustaining viral hepatitis infection. In this review, we provide an overview of distinct, novel, and innovative in vitro liver models and discuss their functionality and relevance in modeling viral hepatitis. These platforms may provide novel insight into mechanisms that regulate viral clearance versus progression to chronic infections that can drive subsequent liver disease.
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Affiliation(s)
- Dennis McDuffie
- Department of Biomedical Engineering, University of Miami, Coral Gables, Florida
| | - David Barr
- Department of Pathology and Laboratory Medicine, University of Miami Miller School of Medicine, Miami, Florida
| | - Madeline Helm
- Department of Biomedical Engineering, University of Miami, Coral Gables, Florida
| | - Thomas Baumert
- Inserm Research Institute for Viral and Liver Diseases, University of Strasbourg, Strasbourg, France
| | - Ashutosh Agarwal
- Department of Biomedical Engineering, University of Miami, Coral Gables, Florida
- Desai Sethi Urology Institute, Miller School of Medicine, University of Miami, Miami, Florida
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida
| | - Emmanuel Thomas
- Department of Biomedical Engineering, University of Miami, Coral Gables, Florida
- Department of Pathology and Laboratory Medicine, University of Miami Miller School of Medicine, Miami, Florida
- Schiff Center for Liver Diseases, University of Miami Miller School of Medicine, Miami, Florida
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida
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Current Advances in 3D Dynamic Cell Culture Systems. Gels 2022; 8:gels8120829. [PMID: 36547353 PMCID: PMC9778081 DOI: 10.3390/gels8120829] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 12/10/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022] Open
Abstract
The traditional two-dimensional (2D) cell culture methods have a long history of mimicking in vivo cell growth. However, these methods cannot fully represent physiological conditions, which lack two major indexes of the in vivo environment; one is a three-dimensional 3D cell environment, and the other is mechanical stimulation; therefore, they are incapable of replicating the essential cellular communications between cell to cell, cell to the extracellular matrix, and cellular responses to dynamic mechanical stimulation in a physiological condition of body movement and blood flow. To solve these problems and challenges, 3D cell carriers have been gradually developed to provide a 3D matrix-like structure for cell attachment, proliferation, differentiation, and communication in static and dynamic culture conditions. 3D cell carriers in dynamic culture systems could primarily provide different mechanical stimulations which further mimic the real in vivo microenvironment. In this review, the current advances in 3D dynamic cell culture approaches have been introduced, with their advantages and disadvantages being discussed in comparison to traditional 2D cell culture in static conditions.
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21
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Deguchi S, Takayama K. State-of-the-art liver disease research using liver-on-a-chip. Inflamm Regen 2022; 42:62. [PMID: 36494740 PMCID: PMC9733013 DOI: 10.1186/s41232-022-00248-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 11/30/2022] [Indexed: 12/13/2022] Open
Abstract
To understand disease pathophysiologies, models that recapitulate human functions are necessary. In vitro models that consist of human cells are preferred to ones using animal cells, because organ functions can vary from species to species. However, conventional in vitro models do not recapitulate human organ functions well. Organ-on-a-chip technology provides a reliable in vitro model of the functional units of human organs. Organ-on-a-chip technology uses microfluidic devices and their accessories to impart organ functions to human cells. Using microfluidic devices, we can co-culture multiple cell types that compose human organs. Moreover, we can culture human cells under physiologically relevant stresses, such as mechanical and shear stresses. Current organ-on-a-chip technology can reproduce the functions of several organs including the liver. Because it is difficult to maintain the function of human hepatocytes, which are the gold standard of in vitro liver models, under conventional culture conditions, the application of liver-on-a-chips to liver disease research is expected. This review introduces the current status and future prospects of liver-on-a-chips in liver disease research.
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Affiliation(s)
- Sayaka Deguchi
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, 606-8507 Japan
- Department of Medical Science, Graduate School of Medicine, Kyoto University, Kyoto, 606-8507 Japan
| | - Kazuo Takayama
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, 606-8507 Japan
- AMED-CREST, Japan Agency for Medical Research and Development (AMED), Tokyo, 100-0004 Japan
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22
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Shedding light on non-alcoholic fatty liver disease: Pathogenesis, molecular mechanisms, models, and emerging therapeutics. Life Sci 2022; 312:121185. [PMID: 36375569 DOI: 10.1016/j.lfs.2022.121185] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 11/07/2022] [Accepted: 11/08/2022] [Indexed: 11/13/2022]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disorder globally impacting an estimated 25% of the population associated with severe consequences such as cirrhosis, hepatocellular carcinoma (HCC), and overall mortality. Fatty liver disease is triggered through multiple pathways, but the most prominent cause is either diabetes or obesity, or a combination of both. Therefore, hepatic glucose, insulin and fatty acid signaling becomes a dire need to understand which is well elaborated in this review. This review summarizes the popular two-hit pathogenesis of NAFLD, the molecular mechanisms underlying hepatic insulin resistance. As fatty liver disease gets advanced, it requires in-vitro as well as in-vivo models closer to disease progression in humans for better understanding the pathological state and identifying a novel therapeutic target. This review summarizes in-vitro (2D cell-culture/co-culture, 3D spheroid/organoid/liver-on-a-chip) models as well as in-vivo (genetically/dietary/chemically induced fatty liver disease) research models. Fatty liver disease research has gathered lots of attention recently since there is no FDA approved therapy available so far. However, there have been numerous promising targets to treat fatty liver disease including potential therapeutic targets under clinical trials are listed in this review.
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23
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Subramanian R, Tang R, Zhang Z, Joshi V, Miner JN, Lo YH. Multimodal NASH prognosis using 3D imaging flow cytometry and artificial intelligence to characterize liver cells. Sci Rep 2022; 12:11180. [PMID: 35778474 PMCID: PMC9249889 DOI: 10.1038/s41598-022-15364-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 06/17/2022] [Indexed: 11/17/2022] Open
Abstract
To improve the understanding of the complex biological process underlying the development of non-alcoholic steatohepatitis (NASH), 3D imaging flow cytometry (3D-IFC) with transmission and side-scattered images were used to characterize hepatic stellate cell (HSC) and liver endothelial cell (LEC) morphology at single-cell resolution. In this study, HSC and LEC were obtained from biopsy-proven NASH subjects with early-stage NASH (F2-F3) and healthy controls. Here, we applied single-cell imaging and 3D digital reconstructions of healthy and diseased cells to analyze a spatially resolved set of morphometric cellular and texture parameters that showed regression with disease progression. By developing a customized autoencoder convolutional neural network (CNN) based on label-free cell transmission and side scattering images obtained from a 3D imaging flow cytometer, we demonstrated key regulated cell types involved in the development of NASH and cell classification performance superior to conventional machine learning methods.
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Affiliation(s)
- Ramkumar Subramanian
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, 92093, USA
| | - Rui Tang
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, 92093, USA
| | - Zunming Zhang
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, 92093, USA
| | | | | | - Yu-Hwa Lo
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, 92093, USA.
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24
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Lefever DE, Miedel MT, Pei F, DiStefano JK, Debiasio R, Shun TY, Saydmohammed M, Chikina M, Vernetti LA, Soto-Gutierrez A, Monga SP, Bataller R, Behari J, Yechoor VK, Bahar I, Gough A, Stern AM, Taylor DL. A Quantitative Systems Pharmacology Platform Reveals NAFLD Pathophysiological States and Targeting Strategies. Metabolites 2022; 12:528. [PMID: 35736460 PMCID: PMC9227696 DOI: 10.3390/metabo12060528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 05/28/2022] [Accepted: 06/03/2022] [Indexed: 11/17/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) has a high global prevalence with a heterogeneous and complex pathophysiology that presents barriers to traditional targeted therapeutic approaches. We describe an integrated quantitative systems pharmacology (QSP) platform that comprehensively and unbiasedly defines disease states, in contrast to just individual genes or pathways, that promote NAFLD progression. The QSP platform can be used to predict drugs that normalize these disease states and experimentally test predictions in a human liver acinus microphysiology system (LAMPS) that recapitulates key aspects of NAFLD. Analysis of a 182 patient-derived hepatic RNA-sequencing dataset generated 12 gene signatures mirroring these states. Screening against the LINCS L1000 database led to the identification of drugs predicted to revert these signatures and corresponding disease states. A proof-of-concept study in LAMPS demonstrated mitigation of steatosis, inflammation, and fibrosis, especially with drug combinations. Mechanistically, several structurally diverse drugs were predicted to interact with a subnetwork of nuclear receptors, including pregnane X receptor (PXR; NR1I2), that has evolved to respond to both xenobiotic and endogenous ligands and is intrinsic to NAFLD-associated transcription dysregulation. In conjunction with iPSC-derived cells, this platform has the potential for developing personalized NAFLD therapeutic strategies, informing disease mechanisms, and defining optimal cohorts of patients for clinical trials.
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Affiliation(s)
- Daniel E. Lefever
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
| | - Mark T. Miedel
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
| | - Fen Pei
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
| | - Johanna K. DiStefano
- Diabetes and Fibrotic Disease Unit, Translational Genomics Research Institute TGen, Phoenix, AZ 85004, USA;
| | - Richard Debiasio
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
| | - Tong Ying Shun
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
| | - Manush Saydmohammed
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
| | - Maria Chikina
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Lawrence A. Vernetti
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
| | - Alejandro Soto-Gutierrez
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA
- McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA 15203, USA
| | - Satdarshan P. Monga
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Ramon Bataller
- Division of Gastroenterology Hepatology and Nutrition, Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA; (R.B.); (J.B.)
| | - Jaideep Behari
- Division of Gastroenterology Hepatology and Nutrition, Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA; (R.B.); (J.B.)
- UPMC Liver Clinic, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA
| | - Vijay K. Yechoor
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Division of Endocrinology and Metabolism, Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15203, USA
| | - Ivet Bahar
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
| | - Albert Gough
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
| | - Andrew M. Stern
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
| | - D. Lansing Taylor
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA
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25
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Phenotypic drug discovery: recent successes, lessons learned and new directions. Nat Rev Drug Discov 2022; 21:899-914. [DOI: 10.1038/s41573-022-00472-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/14/2022] [Indexed: 12/29/2022]
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26
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Akter S. Non-alcoholic Fatty Liver Disease and Steatohepatitis: Risk Factors and Pathophysiology. Middle East J Dig Dis 2022; 14:167-181. [PMID: 36619154 PMCID: PMC9489315 DOI: 10.34172/mejdd.2022.270] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 01/20/2022] [Indexed: 01/11/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) and its progressive subtype non-alcoholic steatohepatitis (NASH) are the most prevalent liver diseases, often leading to hepatocellular carcinoma (HCC). This review aims to describe the present knowledge of the risk factors responsible for the development of NAFLD and NASH. I performed a literature review identifying studies focusing on the complex pathogenic pathway and risk factors of NAFLD and steatohepatitis. The relationship between NAFLD and metabolic syndrome is well established and widely recognized. Obesity, dyslipidemia, type 2 diabetes, hypertension, and insulin resistance are the most common risk factors associated with NAFLD. Among the components of metabolic syndrome, current evidence strongly suggests obesity and type 2 diabetes as risk factors of NASH and HCC. However, other elements, namely gender divergences, ethnicity, genetic factors, participation of innate immune system, oxidative stress, apoptotic pathways, and adipocytokines, take a leading role in the onset and promotion of NAFLD. Pathophysiological mechanisms that are responsible for NAFLD development and subsequent progression to NASH are insulin resistance and hyperinsulinemia, oxidative stress, hepatic stellate cell (HSC) activation, cytokine/adipokine signaling pathways, and genetic and environmental factors. Major pathophysiological findings of NAFLD are dysfunction of adipose tissue through the enhanced flow of free fatty acids (FFAs) and release of adipokines, and altered gut microbiome that generate proinflammatory signals and cause NASH progression. Understanding the pathophysiology and risk factors of NAFLD and NASH; this review could provide insight into the development of therapeutic strategies and useful diagnostic tools.
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Affiliation(s)
- Sharmin Akter
- Department of Physiology, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh,Corresponding Author: Sharmin Akter, PhD Department of Physiology, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh Tel: +0088-091-67401-6 (ext. 6320) Fax: + 880 91 61510
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Ishida S. Research and Development of Microphysiological Systems in Japan Supported by the AMED-MPS Project. FRONTIERS IN TOXICOLOGY 2022; 3:657765. [PMID: 35295097 PMCID: PMC8915811 DOI: 10.3389/ftox.2021.657765] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Accepted: 03/22/2021] [Indexed: 12/31/2022] Open
Abstract
Microphysiological systems (MPS) have been actively developed as a new technology for in vitro toxicity testing platforms in recent years. MPS are culture techniques for the reconstruction of the specific functions of human organs or tissues in a limited space to create miniaturized human test systems. MPS have great promise as next-generation in vitro toxicity assessment systems. Here, I will review the current status of MPS and discuss the requirements that must be met in order for MPS to be implemented in the field of drug discovery, presenting the example of an in vitro cell assay system for drug-induced liver injury, which is the research subject in our laboratory. Projects aimed at the development of MPS were implemented early in Europe and the United States, and the AMED-MPS project was launched in Japan in 2017. The AMED-MPS project involves industry, government, and academia. Researchers in the field of drug discovery in the pharmaceutical industry also participate in the project. Based on the discussions made in the project, I will introduce the requirements that need to be met by liver-MPS as in vitro toxicity test platforms.
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Affiliation(s)
- Seiichi Ishida
- Division of Applied Life Science, Graduate School of Engineering, Sojo University, Kumamoto, Japan.,Biological Safety Research Center, National Institute of Health Sciences, Kawasaki, Japan
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28
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Shroff T, Aina K, Maass C, Cipriano M, Lambrecht J, Tacke F, Mosig A, Loskill P. Studying metabolism with multi-organ chips: new tools for disease modelling, pharmacokinetics and pharmacodynamics. Open Biol 2022; 12:210333. [PMID: 35232251 PMCID: PMC8889168 DOI: 10.1098/rsob.210333] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Non-clinical models to study metabolism including animal models and cell assays are often limited in terms of species translatability and predictability of human biology. This field urgently requires a push towards more physiologically accurate recapitulations of drug interactions and disease progression in the body. Organ-on-chip systems, specifically multi-organ chips (MOCs), are an emerging technology that is well suited to providing a species-specific platform to study the various types of metabolism (glucose, lipid, protein and drug) by recreating organ-level function. This review provides a resource for scientists aiming to study human metabolism by providing an overview of MOCs recapitulating aspects of metabolism, by addressing the technical aspects of MOC development and by providing guidelines for correlation with in silico models. The current state and challenges are presented for two application areas: (i) disease modelling and (ii) pharmacokinetics/pharmacodynamics. Additionally, the guidelines to integrate the MOC data into in silico models could strengthen the predictive power of the technology. Finally, the translational aspects of metabolizing MOCs are addressed, including adoption for personalized medicine and prospects for the clinic. Predictive MOCs could enable a significantly reduced dependence on animal models and open doors towards economical non-clinical testing and understanding of disease mechanisms.
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Affiliation(s)
- Tanvi Shroff
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany,Department for Microphysiological Systems, Institute for Biomedical Engineering, Faculty of Medicine, Eberhard Karls University Tübingen, Österbergstraße 3, 72074 Tübingen, Germany
| | - Kehinde Aina
- Institute of Biochemistry II, Center for Sepsis Control and Care, Jena University Hospital, Jena, Germany
| | | | - Madalena Cipriano
- Department for Microphysiological Systems, Institute for Biomedical Engineering, Faculty of Medicine, Eberhard Karls University Tübingen, Österbergstraße 3, 72074 Tübingen, Germany
| | - Joeri Lambrecht
- Department of Hepatology and Gastroenterology, Charité University Medicine Berlin, Campus Virchow Klinikum and Campus Charité Mitte, Berlin, Germany
| | - Frank Tacke
- Department of Hepatology and Gastroenterology, Charité University Medicine Berlin, Campus Virchow Klinikum and Campus Charité Mitte, Berlin, Germany
| | - Alexander Mosig
- Institute of Biochemistry II, Center for Sepsis Control and Care, Jena University Hospital, Jena, Germany
| | - Peter Loskill
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany,Department for Microphysiological Systems, Institute for Biomedical Engineering, Faculty of Medicine, Eberhard Karls University Tübingen, Österbergstraße 3, 72074 Tübingen, Germany,3R-Center for In vitro Models and Alternatives to Animal Testing, Eberhard Karls University Tübingen, Tübingen, Germany
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Nitsche KS, Müller I, Malcomber S, Carmichael PL, Bouwmeester H. Implementing organ-on-chip in a next-generation risk assessment of chemicals: a review. Arch Toxicol 2022; 96:711-741. [PMID: 35103818 PMCID: PMC8850248 DOI: 10.1007/s00204-022-03234-0] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 01/20/2022] [Indexed: 12/17/2022]
Abstract
Organ-on-chip (OoC) technology is full of engineering and biological challenges, but it has the potential to revolutionize the Next-Generation Risk Assessment of novel ingredients for consumer products and chemicals. A successful incorporation of OoC technology into the Next-Generation Risk Assessment toolbox depends on the robustness of the microfluidic devices and the organ tissue models used. Recent advances in standardized device manufacturing, organ tissue cultivation and growth protocols offer the ability to bridge the gaps towards the implementation of organ-on-chip technology. Next-Generation Risk Assessment is an exposure-led and hypothesis-driven tiered approach to risk assessment using detailed human exposure information and the application of appropriate new (non-animal) toxicological testing approaches. Organ-on-chip presents a promising in vitro approach by combining human cell culturing with dynamic microfluidics to improve physiological emulation. Here, we critically review commercial organ-on-chip devices, as well as recent tissue culture model studies of the skin, intestinal barrier and liver as the main metabolic organ to be used on-chip for Next-Generation Risk Assessment. Finally, microfluidically linked tissue combinations such as skin-liver and intestine-liver in organ-on-chip devices are reviewed as they form a relevant aspect for advancing toxicokinetic and toxicodynamic studies. We point to recent achievements and challenges to overcome, to advance non-animal, human-relevant safety studies.
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Affiliation(s)
- Katharina S Nitsche
- Division of Toxicology, Wageningen University, P.O. Box 8000, 6700 EA, Wageningen, The Netherlands.
| | - Iris Müller
- Unilever Safety and Environmental Assurance Centre, Colworth Science Park, Sharnbrook, Bedfordshire, MK44 1LQ, UK
| | - Sophie Malcomber
- Unilever Safety and Environmental Assurance Centre, Colworth Science Park, Sharnbrook, Bedfordshire, MK44 1LQ, UK
| | - Paul L Carmichael
- Division of Toxicology, Wageningen University, P.O. Box 8000, 6700 EA, Wageningen, The Netherlands
- Unilever Safety and Environmental Assurance Centre, Colworth Science Park, Sharnbrook, Bedfordshire, MK44 1LQ, UK
| | - Hans Bouwmeester
- Division of Toxicology, Wageningen University, P.O. Box 8000, 6700 EA, Wageningen, The Netherlands
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30
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Ramos MJ, Bandiera L, Menolascina F, Fallowfield JA. In vitro models for non-alcoholic fatty liver disease: Emerging platforms and their applications. iScience 2022; 25:103549. [PMID: 34977507 PMCID: PMC8689151 DOI: 10.1016/j.isci.2021.103549] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) represents a global healthcare challenge, affecting 1 in 4 adults, and death rates are predicted to rise inexorably. The progressive form of NAFLD, non-alcoholic steatohepatitis (NASH), can lead to fibrosis, cirrhosis, and hepatocellular carcinoma. However, no medical treatments are licensed for NAFLD-NASH. Identifying efficacious therapies has been hindered by the complexity of disease pathogenesis, a paucity of predictive preclinical models and inadequate validation of pharmacological targets in humans. The development of clinically relevant in vitro models of the disease will pave the way to overcome these challenges. Currently, the combined application of emerging technologies (e.g., organ-on-a-chip/microphysiological systems) and control engineering approaches promises to unravel NAFLD biology and deliver tractable treatment candidates. In this review, we will describe advances in preclinical models for NAFLD-NASH, the recent introduction of novel technologies in this space, and their importance for drug discovery endeavors in the future.
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Affiliation(s)
- Maria Jimenez Ramos
- Centre for Inflammation Research, The University of Edinburgh, The Queen's Medical Research Institute, Edinburgh EH16 4TJ, UK
| | - Lucia Bandiera
- Institute for Bioengineering, The University of Edinburgh, Edinburgh EH9 3BF, UK.,Synthsys - Centre for Synthetic and Systems Biology, The University of Edinburgh, Edinburgh EH9 3BF, UK
| | - Filippo Menolascina
- Institute for Bioengineering, The University of Edinburgh, Edinburgh EH9 3BF, UK.,Synthsys - Centre for Synthetic and Systems Biology, The University of Edinburgh, Edinburgh EH9 3BF, UK
| | - Jonathan Andrew Fallowfield
- Centre for Inflammation Research, The University of Edinburgh, The Queen's Medical Research Institute, Edinburgh EH16 4TJ, UK
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31
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Ramos MJ, Bandiera L, Menolascina F, Fallowfield JA. In vitro models for non-alcoholic fatty liver disease: Emerging platforms and their applications. iScience 2022; 25:103549. [PMID: 34977507 DOI: 10.1016/j.isci] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/23/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) represents a global healthcare challenge, affecting 1 in 4 adults, and death rates are predicted to rise inexorably. The progressive form of NAFLD, non-alcoholic steatohepatitis (NASH), can lead to fibrosis, cirrhosis, and hepatocellular carcinoma. However, no medical treatments are licensed for NAFLD-NASH. Identifying efficacious therapies has been hindered by the complexity of disease pathogenesis, a paucity of predictive preclinical models and inadequate validation of pharmacological targets in humans. The development of clinically relevant in vitro models of the disease will pave the way to overcome these challenges. Currently, the combined application of emerging technologies (e.g., organ-on-a-chip/microphysiological systems) and control engineering approaches promises to unravel NAFLD biology and deliver tractable treatment candidates. In this review, we will describe advances in preclinical models for NAFLD-NASH, the recent introduction of novel technologies in this space, and their importance for drug discovery endeavors in the future.
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Affiliation(s)
- Maria Jimenez Ramos
- Centre for Inflammation Research, The University of Edinburgh, The Queen's Medical Research Institute, Edinburgh EH16 4TJ, UK
| | - Lucia Bandiera
- Institute for Bioengineering, The University of Edinburgh, Edinburgh EH9 3BF, UK
- Synthsys - Centre for Synthetic and Systems Biology, The University of Edinburgh, Edinburgh EH9 3BF, UK
| | - Filippo Menolascina
- Institute for Bioengineering, The University of Edinburgh, Edinburgh EH9 3BF, UK
- Synthsys - Centre for Synthetic and Systems Biology, The University of Edinburgh, Edinburgh EH9 3BF, UK
| | - Jonathan Andrew Fallowfield
- Centre for Inflammation Research, The University of Edinburgh, The Queen's Medical Research Institute, Edinburgh EH16 4TJ, UK
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32
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Youhanna S, Kemas AM, Preiss L, Zhou Y, Shen JX, Cakal SD, Paqualini FS, Goparaju SK, Shafagh RZ, Lind JU, Sellgren CM, Lauschke VM. Organotypic and Microphysiological Human Tissue Models for Drug Discovery and Development-Current State-of-the-Art and Future Perspectives. Pharmacol Rev 2022; 74:141-206. [PMID: 35017176 DOI: 10.1124/pharmrev.120.000238] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 10/12/2021] [Indexed: 12/11/2022] Open
Abstract
The number of successful drug development projects has been stagnant for decades despite major breakthroughs in chemistry, molecular biology, and genetics. Unreliable target identification and poor translatability of preclinical models have been identified as major causes of failure. To improve predictions of clinical efficacy and safety, interest has shifted to three-dimensional culture methods in which human cells can retain many physiologically and functionally relevant phenotypes for extended periods of time. Here, we review the state of the art of available organotypic culture techniques and critically review emerging models of human tissues with key importance for pharmacokinetics, pharmacodynamics, and toxicity. In addition, developments in bioprinting and microfluidic multiorgan cultures to emulate systemic drug disposition are summarized. We close by highlighting important trends regarding the fabrication of organotypic culture platforms and the choice of platform material to limit drug absorption and polymer leaching while supporting the phenotypic maintenance of cultured cells and allowing for scalable device fabrication. We conclude that organotypic and microphysiological human tissue models constitute promising systems to promote drug discovery and development by facilitating drug target identification and improving the preclinical evaluation of drug toxicity and pharmacokinetics. There is, however, a critical need for further validation, benchmarking, and consolidation efforts ideally conducted in intersectoral multicenter settings to accelerate acceptance of these novel models as reliable tools for translational pharmacology and toxicology. SIGNIFICANCE STATEMENT: Organotypic and microphysiological culture of human cells has emerged as a promising tool for preclinical drug discovery and development that might be able to narrow the translation gap. This review discusses recent technological and methodological advancements and the use of these systems for hit discovery and the evaluation of toxicity, clearance, and absorption of lead compounds.
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Affiliation(s)
- Sonia Youhanna
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (S.Y., A.M.K., L.P., Y.Z., J.X.S., S.K.G., R.Z.S., C.M.S., V.M.L.); Department of Drug Metabolism and Pharmacokinetics (DMPK), Merck KGaA, Darmstadt, Germany (L.P.); Department of Health Technology, Technical University of Denmark, Lyngby, Denmark (S.D.C., J.U.L.); Synthetic Physiology Laboratory, Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy (F.S.P.); Division of Micro- and Nanosystems, KTH Royal Institute of Technology, Stockholm, Sweden (Z.S.); and Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany (V.M.L.)
| | - Aurino M Kemas
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (S.Y., A.M.K., L.P., Y.Z., J.X.S., S.K.G., R.Z.S., C.M.S., V.M.L.); Department of Drug Metabolism and Pharmacokinetics (DMPK), Merck KGaA, Darmstadt, Germany (L.P.); Department of Health Technology, Technical University of Denmark, Lyngby, Denmark (S.D.C., J.U.L.); Synthetic Physiology Laboratory, Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy (F.S.P.); Division of Micro- and Nanosystems, KTH Royal Institute of Technology, Stockholm, Sweden (Z.S.); and Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany (V.M.L.)
| | - Lena Preiss
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (S.Y., A.M.K., L.P., Y.Z., J.X.S., S.K.G., R.Z.S., C.M.S., V.M.L.); Department of Drug Metabolism and Pharmacokinetics (DMPK), Merck KGaA, Darmstadt, Germany (L.P.); Department of Health Technology, Technical University of Denmark, Lyngby, Denmark (S.D.C., J.U.L.); Synthetic Physiology Laboratory, Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy (F.S.P.); Division of Micro- and Nanosystems, KTH Royal Institute of Technology, Stockholm, Sweden (Z.S.); and Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany (V.M.L.)
| | - Yitian Zhou
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (S.Y., A.M.K., L.P., Y.Z., J.X.S., S.K.G., R.Z.S., C.M.S., V.M.L.); Department of Drug Metabolism and Pharmacokinetics (DMPK), Merck KGaA, Darmstadt, Germany (L.P.); Department of Health Technology, Technical University of Denmark, Lyngby, Denmark (S.D.C., J.U.L.); Synthetic Physiology Laboratory, Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy (F.S.P.); Division of Micro- and Nanosystems, KTH Royal Institute of Technology, Stockholm, Sweden (Z.S.); and Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany (V.M.L.)
| | - Joanne X Shen
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (S.Y., A.M.K., L.P., Y.Z., J.X.S., S.K.G., R.Z.S., C.M.S., V.M.L.); Department of Drug Metabolism and Pharmacokinetics (DMPK), Merck KGaA, Darmstadt, Germany (L.P.); Department of Health Technology, Technical University of Denmark, Lyngby, Denmark (S.D.C., J.U.L.); Synthetic Physiology Laboratory, Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy (F.S.P.); Division of Micro- and Nanosystems, KTH Royal Institute of Technology, Stockholm, Sweden (Z.S.); and Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany (V.M.L.)
| | - Selgin D Cakal
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (S.Y., A.M.K., L.P., Y.Z., J.X.S., S.K.G., R.Z.S., C.M.S., V.M.L.); Department of Drug Metabolism and Pharmacokinetics (DMPK), Merck KGaA, Darmstadt, Germany (L.P.); Department of Health Technology, Technical University of Denmark, Lyngby, Denmark (S.D.C., J.U.L.); Synthetic Physiology Laboratory, Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy (F.S.P.); Division of Micro- and Nanosystems, KTH Royal Institute of Technology, Stockholm, Sweden (Z.S.); and Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany (V.M.L.)
| | - Francesco S Paqualini
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (S.Y., A.M.K., L.P., Y.Z., J.X.S., S.K.G., R.Z.S., C.M.S., V.M.L.); Department of Drug Metabolism and Pharmacokinetics (DMPK), Merck KGaA, Darmstadt, Germany (L.P.); Department of Health Technology, Technical University of Denmark, Lyngby, Denmark (S.D.C., J.U.L.); Synthetic Physiology Laboratory, Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy (F.S.P.); Division of Micro- and Nanosystems, KTH Royal Institute of Technology, Stockholm, Sweden (Z.S.); and Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany (V.M.L.)
| | - Sravan K Goparaju
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (S.Y., A.M.K., L.P., Y.Z., J.X.S., S.K.G., R.Z.S., C.M.S., V.M.L.); Department of Drug Metabolism and Pharmacokinetics (DMPK), Merck KGaA, Darmstadt, Germany (L.P.); Department of Health Technology, Technical University of Denmark, Lyngby, Denmark (S.D.C., J.U.L.); Synthetic Physiology Laboratory, Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy (F.S.P.); Division of Micro- and Nanosystems, KTH Royal Institute of Technology, Stockholm, Sweden (Z.S.); and Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany (V.M.L.)
| | - Reza Zandi Shafagh
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (S.Y., A.M.K., L.P., Y.Z., J.X.S., S.K.G., R.Z.S., C.M.S., V.M.L.); Department of Drug Metabolism and Pharmacokinetics (DMPK), Merck KGaA, Darmstadt, Germany (L.P.); Department of Health Technology, Technical University of Denmark, Lyngby, Denmark (S.D.C., J.U.L.); Synthetic Physiology Laboratory, Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy (F.S.P.); Division of Micro- and Nanosystems, KTH Royal Institute of Technology, Stockholm, Sweden (Z.S.); and Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany (V.M.L.)
| | - Johan Ulrik Lind
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (S.Y., A.M.K., L.P., Y.Z., J.X.S., S.K.G., R.Z.S., C.M.S., V.M.L.); Department of Drug Metabolism and Pharmacokinetics (DMPK), Merck KGaA, Darmstadt, Germany (L.P.); Department of Health Technology, Technical University of Denmark, Lyngby, Denmark (S.D.C., J.U.L.); Synthetic Physiology Laboratory, Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy (F.S.P.); Division of Micro- and Nanosystems, KTH Royal Institute of Technology, Stockholm, Sweden (Z.S.); and Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany (V.M.L.)
| | - Carl M Sellgren
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (S.Y., A.M.K., L.P., Y.Z., J.X.S., S.K.G., R.Z.S., C.M.S., V.M.L.); Department of Drug Metabolism and Pharmacokinetics (DMPK), Merck KGaA, Darmstadt, Germany (L.P.); Department of Health Technology, Technical University of Denmark, Lyngby, Denmark (S.D.C., J.U.L.); Synthetic Physiology Laboratory, Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy (F.S.P.); Division of Micro- and Nanosystems, KTH Royal Institute of Technology, Stockholm, Sweden (Z.S.); and Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany (V.M.L.)
| | - Volker M Lauschke
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (S.Y., A.M.K., L.P., Y.Z., J.X.S., S.K.G., R.Z.S., C.M.S., V.M.L.); Department of Drug Metabolism and Pharmacokinetics (DMPK), Merck KGaA, Darmstadt, Germany (L.P.); Department of Health Technology, Technical University of Denmark, Lyngby, Denmark (S.D.C., J.U.L.); Synthetic Physiology Laboratory, Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy (F.S.P.); Division of Micro- and Nanosystems, KTH Royal Institute of Technology, Stockholm, Sweden (Z.S.); and Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany (V.M.L.)
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33
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Rao S, Yang X, Ohshiro K, Zaidi S, Wang Z, Shetty K, Xiang X, Hassan I, Mohammad T, Latham PS, Nguyen BN, Wong L, Yu H, Al-Abed Y, Mishra B, Vacca M, Guenigault G, Allison MED, Vidal-Puig A, Benhammou JN, Alvarez M, Pajukanta P, Pisegna JR, Mishra L. β2-spectrin (SPTBN1) as a therapeutic target for diet-induced liver disease and preventing cancer development. Sci Transl Med 2021; 13:eabk2267. [PMID: 34910547 PMCID: PMC8941321 DOI: 10.1126/scitranslmed.abk2267] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The prevalence of nonalcoholic steatohepatitis (NASH) and liver cancer is increasing. De novo lipogenesis and fibrosis contribute to disease progression and cancerous transformation. Here, we found that β2-spectrin (SPTBN1) promotes sterol regulatory element (SRE)–binding protein (SREBP)–stimulated lipogenesis and development of liver cancer in mice fed a high-fat diet (HFD) or a western diet (WD). Either hepatocyte-specific knockout of SPTBN1 or siRNA-mediated therapy protected mice from HFD/WD-induced obesity and fibrosis, lipid accumulation, and tissue damage in the liver. Biochemical analysis suggested that HFD/WD induces SPTBN1 and SREBP1 cleavage by CASPASE-3 and that the cleaved products interact to promote expression of genes with sterol response elements. Analysis of human NASH tissue revealed increased SPTBN1 and CASPASE-3 expression. Thus, our data indicate that SPTBN1 represents a potential target for therapeutic intervention in NASH and liver cancer.
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Affiliation(s)
- Shuyun Rao
- The Institute for Bioelectronic Medicine, Feinstein Institutes for Medical Research, & Cold Spring Harbor Laboratory, Department of Medicine, Divisions of Gastroenterology and Hepatology, Northwell Health, Manhasset, NY, 11030, USA
- Center for Translational Medicine, Department of Surgery, The George Washington University, DC, 20037, USA
| | - Xiaochun Yang
- The Institute for Bioelectronic Medicine, Feinstein Institutes for Medical Research, & Cold Spring Harbor Laboratory, Department of Medicine, Divisions of Gastroenterology and Hepatology, Northwell Health, Manhasset, NY, 11030, USA
| | - Kazufumi Ohshiro
- The Institute for Bioelectronic Medicine, Feinstein Institutes for Medical Research, & Cold Spring Harbor Laboratory, Department of Medicine, Divisions of Gastroenterology and Hepatology, Northwell Health, Manhasset, NY, 11030, USA
| | - Sobia Zaidi
- The Institute for Bioelectronic Medicine, Feinstein Institutes for Medical Research, & Cold Spring Harbor Laboratory, Department of Medicine, Divisions of Gastroenterology and Hepatology, Northwell Health, Manhasset, NY, 11030, USA
| | - Zhanhuai Wang
- Center for Translational Medicine, Department of Surgery, The George Washington University, DC, 20037, USA
- Department of Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Kirti Shetty
- Division of Gastroenterology & Hepatology, University of Maryland School of Medicine, 21201, USA
| | - Xiyan Xiang
- The Institute for Bioelectronic Medicine, Feinstein Institutes for Medical Research, & Cold Spring Harbor Laboratory, Department of Medicine, Divisions of Gastroenterology and Hepatology, Northwell Health, Manhasset, NY, 11030, USA
| | - Imtaiyaz Hassan
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi, 110025, India
| | - Taj Mohammad
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi, 110025, India
| | - Patricia S. Latham
- Center for Translational Medicine, Department of Surgery, The George Washington University, DC, 20037, USA
- Department of Pathology, The George Washington University, DC, 20037, USA
| | - Bao-Ngoc Nguyen
- Center for Translational Medicine, Department of Surgery, The George Washington University, DC, 20037, USA
| | - Linda Wong
- Cancer Biology department, University of Hawaii Cancer Center, HI, 96813, USA
- Dept of Surgery, University of Hawaii John A. Burns School of Medicine, HI, 96813, USA
| | - Herbert Yu
- Epidemiology Program, University of Hawaii Cancer Center, HI, 96813, USA
| | - Yousef Al-Abed
- The Institute for Bioelectronic Medicine, Feinstein Institutes for Medical Research, & Cold Spring Harbor Laboratory, Department of Medicine, Divisions of Gastroenterology and Hepatology, Northwell Health, Manhasset, NY, 11030, USA
| | - Bibhuti Mishra
- The Institute for Bioelectronic Medicine, Feinstein Institutes for Medical Research, & Cold Spring Harbor Laboratory, Department of Medicine, Divisions of Gastroenterology and Hepatology, Northwell Health, Manhasset, NY, 11030, USA
- Department of Neurology, Northwell Health, Manhasset, NY, 11030, USA
| | - Michele Vacca
- TVP Lab, Metabolic Research Laboratories, WT/MRC Institute of Metabolic Science Addenbrooke's Hospital, Cambridge, CB2 0QQ, United Kingdom
| | | | - Michael ED Allison
- Liver Unit, Cambridge Biomedical Research Centre, Cambridge University Hospitals, CB2 0QQ, United Kingdom
| | - Antonio Vidal-Puig
- TVP Lab, Metabolic Research Laboratories, WT/MRC Institute of Metabolic Science Addenbrooke's Hospital, Cambridge, CB2 0QQ, United Kingdom
- Welcome Trust Sanger Institute, Hinxton, CB10 1SA, United Kingdom
- Cambridge University Nanjing Centre of Technology and Innovation, Jiangbei Area, Nanjing, 210000, China
| | - Jihane N Benhammou
- Vatche and Tamar Manoukian Division of Digestive Diseases and Gastroenterology, Hepatology and Parenteral Nutrition, David Geffen School of Medicine at UCLA and VA Greater Los Angeles HCS, Los Angeles, CA, 90095, USA
| | - Marcus Alvarez
- Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA
| | - Päivi Pajukanta
- Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA
- Institute for Precision Health, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA
| | - Joseph R. Pisegna
- Department of Medicine and Human Genetics, Division of Gastroenterology, Hepatology and Parenteral Nutrition, David Geffen School of Medicine at UCLA and VA Greater Los Angeles HCS, Los Angeles, CA, 90095, USA
| | - Lopa Mishra
- The Institute for Bioelectronic Medicine, Feinstein Institutes for Medical Research, & Cold Spring Harbor Laboratory, Department of Medicine, Divisions of Gastroenterology and Hepatology, Northwell Health, Manhasset, NY, 11030, USA
- Center for Translational Medicine, Department of Surgery, The George Washington University, DC, 20037, USA
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Ströbel S, Kostadinova R, Fiaschetti-Egli K, Rupp J, Bieri M, Pawlowska A, Busler D, Hofstetter T, Sanchez K, Grepper S, Thoma E. A 3D primary human cell-based in vitro model of non-alcoholic steatohepatitis for efficacy testing of clinical drug candidates. Sci Rep 2021; 11:22765. [PMID: 34815444 PMCID: PMC8611054 DOI: 10.1038/s41598-021-01951-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 11/03/2021] [Indexed: 02/06/2023] Open
Abstract
Non-alcoholic steatohepatitis (NASH) is a progressive and severe liver disease, characterized by lipid accumulation, inflammation, and downstream fibrosis. Despite its increasing prevalence, there is no approved treatment yet available for patients. This has been at least partially due to the lack of predictive preclinical models for studying this complex disease. Here, we present a 3D in vitro microtissue model that uses spheroidal, scaffold free co-culture of primary human hepatocytes, Kupffer cells, liver endothelial cells and hepatic stellate cells. Upon exposure to defined and clinically relevant lipotoxic and inflammatory stimuli, these microtissues develop key pathophysiological features of NASH within 10 days, including an increase of intracellular triglyceride content and lipids, and release of pro-inflammatory cytokines. Furthermore, fibrosis was evident through release of procollagen type I, and increased deposition of extracellular collagen fibers. Whole transcriptome analysis revealed changes in the regulation of pathways associated with NASH, such as lipid metabolism, inflammation and collagen processing. Importantly, treatment with anti-NASH drug candidates (Selonsertib and Firsocostat) decreased the measured specific disease parameter, in accordance with clinical observations. These drug treatments also significantly changed the gene expression patterns of the microtissues, thus providing mechanisms of action and revealing therapeutic potential. In summary, this human NASH model represents a promising drug discovery tool for understanding the underlying complex mechanisms in NASH, evaluating efficacy of anti-NASH drug candidates and identifying new approaches for therapeutic interventions.
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Affiliation(s)
- Simon Ströbel
- InSphero AG, Wagistrasse 27A, 8952 Schlieren, CH, Switzerland.
| | | | | | - Jana Rupp
- InSphero AG, Wagistrasse 27A, 8952 Schlieren, CH Switzerland
| | - Manuela Bieri
- InSphero AG, Wagistrasse 27A, 8952 Schlieren, CH Switzerland
| | | | - Donna Busler
- InSphero AG, Wagistrasse 27A, 8952 Schlieren, CH Switzerland
| | | | | | - Sue Grepper
- InSphero AG, Wagistrasse 27A, 8952 Schlieren, CH Switzerland
| | - Eva Thoma
- InSphero AG, Wagistrasse 27A, 8952 Schlieren, CH Switzerland
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35
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Saydmohammed M, Jha A, Mahajan V, Gavlock D, Shun TY, DeBiasio R, Lefever D, Li X, Reese C, Kershaw EE, Yechoor V, Behari J, Soto-Gutierrez A, Vernetti L, Stern A, Gough A, Miedel MT, Lansing Taylor D. Quantifying the progression of non-alcoholic fatty liver disease in human biomimetic liver microphysiology systems with fluorescent protein biosensors. Exp Biol Med (Maywood) 2021; 246:2420-2441. [PMID: 33957803 PMCID: PMC8606957 DOI: 10.1177/15353702211009228] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Accepted: 03/23/2021] [Indexed: 12/12/2022] Open
Abstract
Metabolic syndrome is a complex disease that involves multiple organ systems including a critical role for the liver. Non-alcoholic fatty liver disease (NAFLD) is a key component of the metabolic syndrome and fatty liver is linked to a range of metabolic dysfunctions that occur in approximately 25% of the population. A panel of experts recently agreed that the acronym, NAFLD, did not properly characterize this heterogeneous disease given the associated metabolic abnormalities such as type 2 diabetes mellitus (T2D), obesity, and hypertension. Therefore, metabolic dysfunction-associated fatty liver disease (MAFLD) has been proposed as the new term to cover the heterogeneity identified in the NAFLD patient population. Although many rodent models of NAFLD/NASH have been developed, they do not recapitulate the full disease spectrum in patients. Therefore, a platform has evolved initially focused on human biomimetic liver microphysiology systems that integrates fluorescent protein biosensors along with other key metrics, the microphysiology systems database, and quantitative systems pharmacology. Quantitative systems pharmacology is being applied to investigate the mechanisms of NAFLD/MAFLD progression to select molecular targets for fluorescent protein biosensors, to integrate computational and experimental methods to predict drugs for repurposing, and to facilitate novel drug development. Fluorescent protein biosensors are critical components of the platform since they enable monitoring of the pathophysiology of disease progression by defining and quantifying the temporal and spatial dynamics of protein functions in the biosensor cells, and serve as minimally invasive biomarkers of the physiological state of the microphysiology system experimental disease models. Here, we summarize the progress in developing human microphysiology system disease models of NAFLD/MAFLD from several laboratories, developing fluorescent protein biosensors to monitor and to measure NAFLD/MAFLD disease progression and implementation of quantitative systems pharmacology with the goal of repurposing drugs and guiding the creation of novel therapeutics.
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Affiliation(s)
- Manush Saydmohammed
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Anupma Jha
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Vineet Mahajan
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Dillon Gavlock
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Tong Ying Shun
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Richard DeBiasio
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Daniel Lefever
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Xiang Li
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Celeste Reese
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Erin E Kershaw
- Department of Medicine, Division of Endocrinology and Metabolism, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Vijay Yechoor
- Department of Medicine, Division of Endocrinology and Metabolism, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Jaideep Behari
- Department of Medicine, Division of Gastroenterology, Hepatology and Nutrition, Pittsburgh, PA 15261, USA
- UPMC Liver Clinic, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Alejandro Soto-Gutierrez
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Larry Vernetti
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Andrew Stern
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Albert Gough
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Mark T Miedel
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - D Lansing Taylor
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15261, USA
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Modelling human liver fibrosis in the context of non-alcoholic steatohepatitis using a microphysiological system. Commun Biol 2021; 4:1080. [PMID: 34526653 PMCID: PMC8443589 DOI: 10.1038/s42003-021-02616-x] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 08/27/2021] [Indexed: 02/08/2023] Open
Abstract
Non-alcoholic steatohepatitis (NASH) is a common form of chronic liver disease characterised by lipid accumulation, infiltration of immune cells, hepatocellular ballooning, collagen deposition and liver fibrosis. There is a high unmet need to develop treatments for NASH. We have investigated how liver fibrosis and features of advanced clinical disease can be modelled using an in vitro microphysiological system (MPS). The NASH MPS model comprises a co-culture of primary human liver cells, which were cultured in a variety of conditions including+/- excess sugar, fat, exogenous TGFβ or LPS. The transcriptomic, inflammatory and fibrotic phenotype of the model was characterised and compared using a system biology approach to identify conditions that mimic more advanced clinical disease. The transcriptomic profile of the model was shown to closely correlate with the profile of patient samples and the model displayed a quantifiable fibrotic phenotype. The effects of Obeticholic acid and Elafibranor, were evaluated in the model, as wells as the effects of dietary intervention, with all able to significantly reduce inflammatory and fibrosis markers. Overall, we demonstrate how the MPS NASH model can be used to model different aspects of clinical NASH but importantly demonstrate its ability to model advanced disease with a quantifiable fibrosis phenotype.
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37
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Vunjak-Novakovic G, Ronaldson-Bouchard K, Radisic M. Organs-on-a-chip models for biological research. Cell 2021; 184:4597-4611. [PMID: 34478657 PMCID: PMC8417425 DOI: 10.1016/j.cell.2021.08.005] [Citation(s) in RCA: 125] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 08/02/2021] [Accepted: 08/04/2021] [Indexed: 12/12/2022]
Abstract
We explore the utility of bioengineered human tissues-individually or connected into physiological units-for biological research. While much smaller and simpler than their native counterparts, these tissues are complex enough to approximate distinct tissue phenotypes: molecular, structural, and functional. Unlike organoids, which form spontaneously and recapitulate development, "organs-on-a-chip" are engineered to display some specific functions of whole organs. Looking back, we discuss the key developments of this emerging technology. Thinking forward, we focus on the challenges faced to fully establish, validate, and utilize the fidelity of these models for biological research.
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38
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Organ-on-chip applications in drug discovery: an end user perspective. Biochem Soc Trans 2021; 49:1881-1890. [PMID: 34397080 PMCID: PMC8421049 DOI: 10.1042/bst20210840] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 07/20/2021] [Accepted: 07/26/2021] [Indexed: 12/17/2022]
Abstract
Organ-on-chip (OoC) systems are in vitro microfluidic models that mimic the microstructures, functions and physiochemical environments of whole living organs more accurately than two-dimensional models. While still in their infancy, OoCs are expected to bring ground-breaking benefits to a myriad of applications, enabling more human-relevant candidate drug efficacy and toxicity studies, and providing greater insights into mechanisms of human disease. Here, we explore a selection of applications of OoC systems. The future directions and scope of implementing OoCs across the drug discovery process are also discussed.
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39
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Kukla DA, Khetani SR. Bioengineered Liver Models for Investigating Disease Pathogenesis and Regenerative Medicine. Semin Liver Dis 2021; 41:368-392. [PMID: 34139785 DOI: 10.1055/s-0041-1731016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Owing to species-specific differences in liver pathways, in vitro human liver models are utilized for elucidating mechanisms underlying disease pathogenesis, drug development, and regenerative medicine. To mitigate limitations with de-differentiated cultures, bioengineers have developed advanced techniques/platforms, including micropatterned cocultures, spheroids/organoids, bioprinting, and microfluidic devices, for perfusing cell cultures and liver slices. Such techniques improve mature functions and culture lifetime of primary and stem-cell human liver cells. Furthermore, bioengineered liver models display several features of liver diseases including infections with pathogens (e.g., malaria, hepatitis C/B viruses, Zika, dengue, yellow fever), alcoholic/nonalcoholic fatty liver disease, and cancer. Here, we discuss features of bioengineered human liver models, their uses for modeling aforementioned diseases, and how such models are being augmented/adapted for fabricating implantable human liver tissues for clinical therapy. Ultimately, continued advances in bioengineered human liver models have the potential to aid the development of novel, safe, and efficacious therapies for liver disease.
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Affiliation(s)
- David A Kukla
- Deparment of Bioengineering, University of Illinois at Chicago, Chicago, Illinois
| | - Salman R Khetani
- Deparment of Bioengineering, University of Illinois at Chicago, Chicago, Illinois
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40
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Deguchi S, Tsuda M, Kosugi K, Sakamoto A, Mimura N, Negoro R, Sano E, Nobe T, Maeda K, Kusuhara H, Mizuguchi H, Yamashita F, Torisawa YS, Takayama K. Usability of Polydimethylsiloxane-Based Microfluidic Devices in Pharmaceutical Research Using Human Hepatocytes. ACS Biomater Sci Eng 2021; 7:3648-3657. [PMID: 34283567 DOI: 10.1021/acsbiomaterials.1c00642] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
A liver-on-a-chip (liver-chip) is a microfluidic device carrying liver cells such as human hepatocytes. It is used to reproduce a part of liver function. Many microfluidic devices are composed of polydimethylsiloxane (PDMS), which is a type of silicone elastomer. PDMS is easy to process and suitable for cell observation, but its high hydrophobicity carries the risk of drug absorption. In this study, we evaluated drug absorption to the PDMS device and investigated the drug responsiveness of human hepatocytes cultured in the PDMS device (hepatocyte-chips). First, the absorption rates of 12 compounds to the PDMS device were measured. The absorption rates of midazolam, bufuralol, cyclosporine A, and verapamil were 92.9, 71.7, 71.4, and 99.6%, respectively, but the other compounds were poorly absorbed. Importantly, the absorption rate of the compounds was correlated with their octanol/water distribution coefficient (log D) values (R2 = 0.76). Next, hepatocyte-chips were used to examine the response to drugs, which are typically used to evaluate hepatic functions. Using the hepatocyte-chips, we could confirm the responsiveness of drugs including cytochrome P450 (CYP) inducers and farnesoid X receptor (FXR) ligands. We believe that our findings will contribute to drug discovery research using PDMS-based liver-chips.
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Affiliation(s)
- Sayaka Deguchi
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto 606-8507, Japan.,Laboratory of Biochemistry and Molecular Biology, Graduate School of Pharmaceutical Sciences, Osaka University, Osaka 565-0871, Japan
| | - Masahiro Tsuda
- Department of Applied Pharmaceutics and Pharmacokinetics, Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan
| | - Kaori Kosugi
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto 606-8507, Japan.,Department of Micro Engineering, Kyoto University, Kyoto 615-8540, Japan
| | - Ayaka Sakamoto
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto 606-8507, Japan
| | - Natsumi Mimura
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto 606-8507, Japan
| | - Ryosuke Negoro
- Laboratory of Molecular Pharmacokinetics, College of Pharmaceutical Sciences, Ritsumeikan University, Noji-Higashi, Kusatsu 525-8577, Japan
| | - Emi Sano
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto 606-8507, Japan
| | - Takuro Nobe
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto 606-8507, Japan.,Department of Micro Engineering, Kyoto University, Kyoto 615-8540, Japan
| | - Kazuya Maeda
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo 113-0033, Japan
| | - Hiroyuki Kusuhara
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo 113-0033, Japan
| | - Hiroyuki Mizuguchi
- Laboratory of Biochemistry and Molecular Biology, Graduate School of Pharmaceutical Sciences, Osaka University, Osaka 565-0871, Japan
| | - Fumiyoshi Yamashita
- Department of Applied Pharmaceutics and Pharmacokinetics, Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan.,Department of Drug Delivery Research, Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan
| | - Yu-Suke Torisawa
- Department of Micro Engineering, Kyoto University, Kyoto 615-8540, Japan
| | - Kazuo Takayama
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto 606-8507, Japan
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41
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Singh B, Abdelgawad ME, Ali Z, Bailey J, Budyn E, Civita P, Clift MJD, Connelly JT, Constant S, Hittinger M, Kandarova H, Kearns VR, Kiuru T, Kostrzewski T, Kress S, Durban VM, Lehr CM, McMillan H, Metz JK, Monteban V, Movia D, Neto C, Owen C, Paasonen L, Palmer KA, Pilkington GJ, Pilkington K, Prina-Mello A, Roper C, Sheard J, Smith S, Turner JE, Roy I, Tutty MA, Velliou E, Wilkinson JM. Towards More Predictive, Physiological and Animal-free In Vitro Models: Advances in Cell and Tissue Culture 2020 Conference Proceedings. Altern Lab Anim 2021; 49:93-110. [PMID: 34225465 DOI: 10.1177/02611929211025006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Experimental systems that faithfully replicate human physiology at cellular, tissue and organ level are crucial to the development of efficacious and safe therapies with high success rates and low cost. The development of such systems is challenging and requires skills, expertise and inputs from a diverse range of experts, such as biologists, physicists, engineers, clinicians and regulatory bodies. Kirkstall Limited, a biotechnology company based in York, UK, organised the annual conference, Advances in Cell and Tissue Culture (ACTC), which brought together people having a variety of expertise and interests, to present and discuss the latest developments in the field of cell and tissue culture and in vitro modelling. The conference has also been influential in engaging animal welfare organisations in the promotion of research, collaborative projects and funding opportunities. This report describes the proceedings of the latest ACTC conference, which was held virtually on 30th September and 1st October 2020, and included sessions on in vitro models in the following areas: advanced skin and respiratory models, neurological disease, cancer research, advanced models including 3-D, fluid flow and co-cultures, diabetes and other age-related disorders, and animal-free research. The roundtable session on the second day was very interactive and drew huge interest, with intriguing discussion taking place among all participants on the theme of replacement of animal models of disease.
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Affiliation(s)
| | - Mohamed Essameldin Abdelgawad
- Cellular, Molecular & Industrial Biotechnology and Cellular & Molecular Immunobiology, Faculty of Science, Helwan University, Cairo, Egypt
| | - Zulfiqur Ali
- Healthcare Innovation Centre, School of Health and Life Sciences, Teesside University, Middlesbrough, UK
| | - Jarrod Bailey
- Center for Contemporary Sciences, Gaithersburg, MD, USA
| | - Elisa Budyn
- CNRS Laboratory of Mechanics and Technology, Ecole Normale Superieure Paris-Saclay, University Paris-Saclay, Gif-sur-Yvette, France
| | - Prospero Civita
- Brain Tumour Research Centre, Institute of Biological and Biomedical Sciences (IBBS), School of Pharmacy and Biomedical Sciences, University of Portsmouth, Portsmouth, UK
- School of Pharmacy and Pharmaceutical Sciences, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
| | - Martin J D Clift
- In Vitro Toxicology Group, Institute of Life Sciences, Swansea University Medical School, Swansea, UK
| | - John T Connelly
- Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | | | | | - Helena Kandarova
- Centre of Experimental Medicine, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Victoria Rosalind Kearns
- Department of Eye and Vision Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
| | - Tony Kiuru
- UPM-Kymmene Corporation, Helsinki, Finland
| | | | - Sebastian Kress
- Department of Biotechnology, Institute for Cell and Tissue Culture Technologies, University of Natural Resources and Life Sciences, Vienna, Austria
| | | | - Claus-Michael Lehr
- Helmholtz-Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Center for Infection Research (HZI), and Saarland University, Saarbrücken, Germany
| | - Hayley McMillan
- School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK
| | - Julia Katharina Metz
- Pharmbiotec Research and Development GmbH, Saarbrücken, Germany
- Department of Pharmacy, Saarland University, Saarbrücken, Germany
| | | | - Dania Movia
- Laboratory for Biological Characterisation of Advanced Materials (LBCAM), Department of Clinical Medicine, Trinity Translational Medicine Institute, Trinity College Dublin, Dublin, Ireland
| | - Catia Neto
- School of Pharmacy and Pharmaceutical Sciences, Cardiff University, Cardiff, UK
| | | | | | - Kerri Anne Palmer
- Institute of Medical Sciences, School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, Aberdeen, UK
| | | | - Karen Pilkington
- School of Health and Social Care Professions, Faculty of Health and Science, University of Portsmouth, Portsmouth, UK
| | - Adriele Prina-Mello
- Laboratory for Biological Characterisation of Advanced Materials (LBCAM), Department of Clinical Medicine, Trinity Translational Medicine Institute, Trinity College Dublin, Dublin, Ireland
| | - Clive Roper
- Roper Toxicology Consulting Limited, Edinburgh, UK
| | | | - Sheree Smith
- School of Clinical and Applied Sciences, Leeds Beckett University, Leeds, UK
| | | | - Ipsita Roy
- Department of Materials Science & Engineering, Kroto Research Institute, University of Sheffield, Sheffield, UK
| | - Melissa Anne Tutty
- Trinity Centre for Health Sciences, Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Eirini Velliou
- Centre for 3D Models of Health and Disease, Department of Targeted Intervention, Division of Surgery and Interventional Science-UCL, London, UK
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42
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Gough A, Soto-Gutierrez A, Vernetti L, Ebrahimkhani MR, Stern AM, Taylor DL. Human biomimetic liver microphysiology systems in drug development and precision medicine. Nat Rev Gastroenterol Hepatol 2021; 18:252-268. [PMID: 33335282 PMCID: PMC9106093 DOI: 10.1038/s41575-020-00386-1] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/02/2020] [Indexed: 02/07/2023]
Abstract
Microphysiology systems (MPS), also called organs-on-chips and tissue chips, are miniaturized functional units of organs constructed with multiple cell types under a variety of physical and biochemical environmental cues that complement animal models as part of a new paradigm of drug discovery and development. Biomimetic human liver MPS have evolved from simpler 2D cell models, spheroids and organoids to address the increasing need to understand patient-specific mechanisms of complex and rare diseases, the response to therapeutic treatments, and the absorption, distribution, metabolism, excretion and toxicity of potential therapeutics. The parallel development and application of transdisciplinary technologies, including microfluidic devices, bioprinting, engineered matrix materials, defined physiological and pathophysiological media, patient-derived primary cells, and pluripotent stem cells as well as synthetic biology to engineer cell genes and functions, have created the potential to produce patient-specific, biomimetic MPS for detailed mechanistic studies. It is projected that success in the development and maturation of patient-derived MPS with known genotypes and fully matured adult phenotypes will lead to advanced applications in precision medicine. In this Review, we examine human biomimetic liver MPS that are designed to recapitulate the liver acinus structure and functions to enhance our knowledge of the mechanisms of disease progression and of the absorption, distribution, metabolism, excretion and toxicity of therapeutic candidates and drugs as well as to evaluate their mechanisms of action and their application in precision medicine and preclinical trials.
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Affiliation(s)
- Albert Gough
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alejandro Soto-Gutierrez
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA
- McGowan Institute of Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lawrence Vernetti
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mo R Ebrahimkhani
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA
- McGowan Institute of Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Andrew M Stern
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - D Lansing Taylor
- University of Pittsburgh Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA.
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA.
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA, USA.
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43
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Thompson CL, Fu S, Knight MM, Thorpe SD. Mechanical Stimulation: A Crucial Element of Organ-on-Chip Models. Front Bioeng Biotechnol 2020; 8:602646. [PMID: 33363131 PMCID: PMC7758201 DOI: 10.3389/fbioe.2020.602646] [Citation(s) in RCA: 81] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 11/20/2020] [Indexed: 12/13/2022] Open
Abstract
Organ-on-chip (OOC) systems recapitulate key biological processes and responses in vitro exhibited by cells, tissues, and organs in vivo. Accordingly, these models of both health and disease hold great promise for improving fundamental research, drug development, personalized medicine, and testing of pharmaceuticals, food substances, pollutants etc. Cells within the body are exposed to biomechanical stimuli, the nature of which is tissue specific and may change with disease or injury. These biomechanical stimuli regulate cell behavior and can amplify, annul, or even reverse the response to a given biochemical cue or drug candidate. As such, the application of an appropriate physiological or pathological biomechanical environment is essential for the successful recapitulation of in vivo behavior in OOC models. Here we review the current range of commercially available OOC platforms which incorporate active biomechanical stimulation. We highlight recent findings demonstrating the importance of including mechanical stimuli in models used for drug development and outline emerging factors which regulate the cellular response to the biomechanical environment. We explore the incorporation of mechanical stimuli in different organ models and identify areas where further research and development is required. Challenges associated with the integration of mechanics alongside other OOC requirements including scaling to increase throughput and diagnostic imaging are discussed. In summary, compelling evidence demonstrates that the incorporation of biomechanical stimuli in these OOC or microphysiological systems is key to fully replicating in vivo physiology in health and disease.
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Affiliation(s)
- Clare L Thompson
- Centre for Predictive in vitro Models, School of Engineering and Materials Science, Queen Mary University of London, London, United Kingdom
| | - Su Fu
- Centre for Predictive in vitro Models, School of Engineering and Materials Science, Queen Mary University of London, London, United Kingdom
| | - Martin M Knight
- Centre for Predictive in vitro Models, School of Engineering and Materials Science, Queen Mary University of London, London, United Kingdom
| | - Stephen D Thorpe
- UCD School of Medicine, UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland
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44
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Abstract
There is a great need for innovative new medicines to treat unmet medical needs. The discovery and development of innovative new medicines is extremely difficult, costly, and inefficient. In the last decade, phenotypic drug discovery (PDD) was reintroduced as a strategy to provide first-in-class medicines. PDD uses empirical, target-agnostic lead generation to identify pharmacologically active molecules and novel therapeutics which work through unprecedented drug mechanisms. The economic and scientific value of PDD is exemplified through game-changing medicines for hepatitis C virus, spinal muscular atrophy, and cystic fibrosis. In this short review, recent advances are noted for the implementation and de-risking of PDD (for compound library selection, biomarker development, mechanism identification, and safety studies) and the potential for artificial intelligence. A significant barrier in the decision to implement PDD is balancing the potential impact of a novel mechanism of drug action with an under-defined scientific path forward, with the desire to provide infrastructure and metrics to optimize return on investment, which a known mechanism provides. A means to address this knowledge gap in the future is to empower precompetitive research utilizing the empirical concepts of PDD to identify new mechanisms and pharmacologically active compounds.
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45
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Tang H, Abouleila Y, Si L, Ortega-Prieto AM, Mummery CL, Ingber DE, Mashaghi A. Human Organs-on-Chips for Virology. Trends Microbiol 2020; 28:934-946. [PMID: 32674988 PMCID: PMC7357975 DOI: 10.1016/j.tim.2020.06.005] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 06/03/2020] [Accepted: 06/19/2020] [Indexed: 02/03/2023]
Abstract
While conventional in vitro culture systems and animal models have been used to study the pathogenesis of viral infections and to facilitate development of vaccines and therapeutics for viral diseases, models that can accurately recapitulate human responses to infection are still lacking. Human organ-on-a-chip (Organ Chip) microfluidic culture devices that recapitulate tissue–tissue interfaces, fluid flows, mechanical cues, and organ-level physiology have been developed to narrow the gap between in vitro experimental models and human pathophysiology. Here, we describe how recent developments in Organ Chips have enabled re-creation of complex pathophysiological features of human viral infections in vitro. Microfluidic Organ Chip culture devices are emerging alternatives to conventional in vitro and animal models due to their ability to replicate many structural and functional features of human physiology and disease states. Recent innovations demonstrate that Organ Chip technology is a promising strategy for virology studies where there have been successes in reproducing various viral disease phenotypes. Organ Chips have enabled investigation of many aspects of viral infection, including virus–host interactions, viral therapy-resistance evolution, and development of new antiviral therapeutics, as well as underlying pathogenesis. As Organ Chip-based assays provide accessibility to study virus-induced diseases in real time and at high resolution, they can open new avenues to uncover viral pathogenesis in a human-relevant environment and may eventually enable development of novel therapeutics and vaccines.
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Affiliation(s)
- Huaqi Tang
- Medical Systems Biophysics and Bioengineering, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC, Leiden, The Netherlands
| | - Yasmine Abouleila
- Medical Systems Biophysics and Bioengineering, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC, Leiden, The Netherlands
| | - Longlong Si
- Wyss Institute for Biologically Inspired Engineering at Harvard University, Boston, MA 02115, USA
| | | | - Christine L Mummery
- Department of Anatomy and Embryology, Leiden University Medical Center, Einthovenweg 20, 2333 ZD, Leiden, The Netherlands
| | - Donald E Ingber
- Wyss Institute for Biologically Inspired Engineering at Harvard University, Boston, MA 02115, USA; Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA; Vascular Biology Program and Department of Surgery, Harvard Medical School and Boston Children's Hospital, Boston, MA 02115, USA
| | - Alireza Mashaghi
- Medical Systems Biophysics and Bioengineering, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC, Leiden, The Netherlands.
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46
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Vacca M, Leslie J, Virtue S, Lam BYH, Govaere O, Tiniakos D, Snow S, Davies S, Petkevicius K, Tong Z, Peirce V, Nielsen MJ, Ament Z, Li W, Kostrzewski T, Leeming DJ, Ratziu V, Allison MED, Anstee QM, Griffin JL, Oakley F, Vidal-Puig A. Bone morphogenetic protein 8B promotes the progression of non-alcoholic steatohepatitis. Nat Metab 2020; 2:514-531. [PMID: 32694734 PMCID: PMC7617436 DOI: 10.1038/s42255-020-0214-9] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Accepted: 04/24/2020] [Indexed: 12/15/2022]
Abstract
Non-alcoholic steatohepatitis (NASH) is characterized by lipotoxicity, inflammation and fibrosis, ultimately leading to end-stage liver disease. The molecular mechanisms promoting NASH are poorly understood, and treatment options are limited. Here, we demonstrate that hepatic expression of bone morphogenetic protein 8B (BMP8B), a member of the transforming growth factor beta (TGFβ)-BMP superfamily, increases proportionally to disease stage in people and animal models with NASH. BMP8B signals via both SMAD2/3 and SMAD1/5/9 branches of the TGFβ-BMP pathway in hepatic stellate cells (HSCs), promoting their proinflammatory phenotype. In vivo, the absence of BMP8B prevents HSC activation, reduces inflammation and affects the wound-healing responses, thereby limiting NASH progression. Evidence is featured in primary human 3D microtissues modelling NASH, when challenged with recombinant BMP8. Our data show that BMP8B is a major contributor to NASH progression. Owing to the near absence of BMP8B in healthy livers, inhibition of BMP8B may represent a promising new therapeutic avenue for NASH treatment.
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Affiliation(s)
- Michele Vacca
- TVP Lab, WT/MRC Institute of Metabolic Science, MRC Metabolic Diseases Unit - Metabolic Research Laboratories, University of Cambridge, Cambridge, UK.
- Department of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK.
| | - Jack Leslie
- Newcastle Fibrosis Research Group, Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Samuel Virtue
- TVP Lab, WT/MRC Institute of Metabolic Science, MRC Metabolic Diseases Unit - Metabolic Research Laboratories, University of Cambridge, Cambridge, UK
| | - Brian Y H Lam
- Yeo Group and Genomics and Transcriptomics Core, WT/MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Olivier Govaere
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Dina Tiniakos
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- Department of Pathology, Aretaieion Hospital, Medical School, National & Kapodistrian University of Athens, Athens, Greece
| | | | - Susan Davies
- Liver Unit, Department of Medicine, Cambridge Biomedical Research Centre, Cambridge University Hospitals, Cambridge, UK
| | - Kasparas Petkevicius
- TVP Lab, WT/MRC Institute of Metabolic Science, MRC Metabolic Diseases Unit - Metabolic Research Laboratories, University of Cambridge, Cambridge, UK
| | - Zhen Tong
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Vivian Peirce
- TVP Lab, WT/MRC Institute of Metabolic Science, MRC Metabolic Diseases Unit - Metabolic Research Laboratories, University of Cambridge, Cambridge, UK
| | | | - Zsuzsanna Ament
- Department of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK
| | - Wei Li
- Department of Medicine, University of Cambridge, Cambridge, UK
| | | | | | - Vlad Ratziu
- Sorbonne Université, Institute for Cardiometabolism and Nutrition (ICAN), Hôpital Pitié-Salpêtrière, Paris, France
| | - Michael E D Allison
- Liver Unit, Department of Medicine, Cambridge Biomedical Research Centre, Cambridge University Hospitals, Cambridge, UK
| | - Quentin M Anstee
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- Newcastle NIHR Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Julian L Griffin
- Department of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK
- Biomolecular Medicine, Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Fiona Oakley
- Newcastle Fibrosis Research Group, Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Antonio Vidal-Puig
- TVP Lab, WT/MRC Institute of Metabolic Science, MRC Metabolic Diseases Unit - Metabolic Research Laboratories, University of Cambridge, Cambridge, UK.
- Welcome Trust Sanger Institute, Hinxton, UK.
- Cambridge University Nanjing Centre of Technology and Innovation, Jiangbei Area, Nanjing, P R China.
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