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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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Faccioli LA, Sun Y, Animasahun O, Motomura T, Liu Z, Kurihara T, Hu Z, Yang B, Cetin Z, Baratta AM, Shankaran A, Nenwani M, Altay LN, Huang L, Meurs N, Franks J, Stolz D, Gavlock DC, Miedel MT, Ostrowska A, Florentino RM, Fox IJ, Nagrath D, Soto-Gutierrez A. Human induced pluripotent stem cell based hepatic-modeling of lipid metabolism associated TM6SF2 E167K variant. Hepatology 2024:01515467-990000000-01008. [PMID: 39190693 DOI: 10.1097/hep.0000000000001065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 07/26/2024] [Indexed: 08/29/2024]
Abstract
BACKGROUND AND AIMS TM6SF2 rs58542926 (E167K) is related to increased prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD). Conflicting mouse study results highlight the need for a human model to understand this mutation's impact. This study aims to create and characterize a reliable human in vitro model to mimic the effects of the TM6SF2-E167K mutation for future studies. APPROACH AND RESULTS We used gene editing on human human-induced pluripotent stem cells (iPSC) from a healthy individual to create cells with the TM6SF2-E167K mutation. After hepatocyte directed differentiation, we observed decreased TM6SF2 protein expression, increased intracellular lipid droplets and total cholesterol in addition to reduced VLDL secretion. Transcriptomics revealed upregulation of genes involved in lipid, fatty acid, and cholesterol transport, flux, and oxidation. Global lipidomics showed increased lipid classes associated with ER stress, mitochondrial dysfunction, apoptosis, and lipid metabolism. Additionally, the TM6SF2-E167K mutation conferred a pro-inflammatory phenotype with signs of mitochondria and ER stress. Importantly, by facilitating protein folding within the ER of hepatocytes carrying TM6SF2-E167K mutation, VLDL secretion and ER stress markers improved. CONCLUSIONS Our findings indicate that induced hepatocytes generated from iPSCs carrying the TM6SF2-E167K recapitulate the effects observed in human hepatocytes from individuals with the TM6SF2 mutation. This study characterizes an in vitro model that can be used as a platform to identify potential clinical targets and highlights the therapeutic potential of targeting protein misfolding to alleviate ER stress and mitigate the detrimental effects of the TM6SF2-E167K mutation on hepatic lipid metabolism.
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Affiliation(s)
- Lanuza Ap Faccioli
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Transcriptional Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Yiyue Sun
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Transcriptional Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- School of Medicine, Tsinghua University, Beijing, PRC
| | - Olamide Animasahun
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA
- Laboratory for Systems Biology of Human Diseases, University of Michigan, Ann Arbor, MI
| | - Takashi Motomura
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Zhenghao Liu
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Transcriptional Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Takeshi Kurihara
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Transcriptional Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Zhiping Hu
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Transcriptional Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Bo Yang
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Transcriptional Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Zeliha Cetin
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Transcriptional Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Annalisa M Baratta
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Transcriptional Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ajay Shankaran
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA
- Laboratory for Systems Biology of Human Diseases, University of Michigan, Ann Arbor, MI
| | - Minal Nenwani
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA
- Laboratory for Systems Biology of Human Diseases, University of Michigan, Ann Arbor, MI
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Leyla Nurcihan Altay
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA
- Laboratory for Systems Biology of Human Diseases, University of Michigan, Ann Arbor, MI
| | - Linqi Huang
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA
- Laboratory for Systems Biology of Human Diseases, University of Michigan, Ann Arbor, MI
| | - Noah Meurs
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA
- Laboratory for Systems Biology of Human Diseases, University of Michigan, Ann Arbor, MI
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Jonathan Franks
- Center for Biologic Imaging, University of Pittsburgh, Pittsburgh, PA, USA
| | - Donna Stolz
- Center for Biologic Imaging, University of Pittsburgh, Pittsburgh, PA, USA
| | - Dillon C Gavlock
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mark T Miedel
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA, USA
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alina Ostrowska
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Transcriptional Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Rodrigo M Florentino
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Transcriptional Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ira J Fox
- Department of Surgery, Children's Hospital of Pittsburgh of UPMC, University of Pittsburgh, Pittsburgh, PA, USA
| | - Deepak Nagrath
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA
- Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA
- Laboratory for Systems Biology of Human Diseases, University of Michigan, Ann Arbor, MI
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Alejandro Soto-Gutierrez
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Transcriptional Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA, USA
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3
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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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4
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Lucena MI, Villanueva-Paz M, Alvarez-Alvarez I, Aithal GP, Björnsson ES, Cakan-Akdogan G, Cubero FJ, Esteves F, Falcon-Perez JM, Fromenty B, Garcia-Ruiz C, Grove JI, Konu O, Kranendonk M, Kullak-Ublick GA, Miranda JP, Remesal-Doblado A, Sancho-Bru P, Nelson L, Andrade RJ, Daly AK, Fernandez-Checa JC. Roadmap to DILI research in Europe. A proposal from COST action ProEuroDILINet. Pharmacol Res 2024; 200:107046. [PMID: 38159783 DOI: 10.1016/j.phrs.2023.107046] [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: 11/07/2023] [Revised: 12/19/2023] [Accepted: 12/20/2023] [Indexed: 01/03/2024]
Abstract
In the current article the aims for a constructive way forward in Drug-Induced Liver Injury (DILI) are to highlight the most important priorities in research and clinical science, therefore supporting a more informed, focused, and better funded future for European DILI research. This Roadmap aims to identify key challenges, define a shared vision across all stakeholders for the opportunities to overcome these challenges and propose a high-quality research program to achieve progress on the prediction, prevention, diagnosis and management of this condition and impact on healthcare practice in the field of DILI. This will involve 1. Creation of a database encompassing optimised case report form for prospectively identified DILI cases with well-characterised controls with competing diagnoses, biological samples, and imaging data; 2. Establishing of preclinical models to improve the assessment and prediction of hepatotoxicity in humans to guide future drug safety testing; 3. Emphasis on implementation science and 4. Enhanced collaboration between drug-developers, clinicians and regulatory scientists. This proposed operational framework will advance DILI research and may bring together basic, applied, translational and clinical research in DILI.
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Affiliation(s)
- M I Lucena
- Servicios de Aparato Digestivo y Farmacología Clínica, Hospital Universitario Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Universidad de Málaga, Málaga, Spain; Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas (CIBERehd), Madrid, Spain; Plataforma de Investigación Clínica y Ensayos Clínicos UICEC-IBIMA, Plataforma ISCIII de Investigación Clínica, Madrid, Spain.
| | - M Villanueva-Paz
- Servicios de Aparato Digestivo y Farmacología Clínica, Hospital Universitario Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Universidad de Málaga, Málaga, Spain; Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas (CIBERehd), Madrid, Spain
| | - I Alvarez-Alvarez
- Servicios de Aparato Digestivo y Farmacología Clínica, Hospital Universitario Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Universidad de Málaga, Málaga, Spain; Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas (CIBERehd), Madrid, Spain
| | - G P Aithal
- Nottingham Digestive Diseases Centre, Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom; NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, United Kingdom
| | - E S Björnsson
- Faculty of Medicine, University of Iceland, Department of Gastroenterology and Hepatology, Landspitali University Hospital, Reykjavik, Iceland
| | - G Cakan-Akdogan
- Izmir Biomedicine and Genome Center, Izmir, Turkey. Department of Medical Biology, Faculty of Medicine, Dokuz Eylül University, Izmir, Turkey
| | - F J Cubero
- Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas (CIBERehd), Madrid, Spain; Department of Immunology, Ophthalmology and ORL, Complutense University School of Medicine, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
| | - F Esteves
- Center for Toxicogenomics and Human Health (ToxOmics), NMS | FCM, Universidade NOVA de Lisboa, Lisbon, Portugal
| | - J M Falcon-Perez
- Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas (CIBERehd), Madrid, Spain; Exosomes Laboratory, Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Derio, Bizkaia, 48160, Spain. IKERBASQUE, Basque Foundation for Science, Bilbao, Bizkaia 48009, Spain
| | - B Fromenty
- INSERM, Univ Rennes, INRAE, Institut NUMECAN (Nutrition Metabolisms and Cancer) UMR_A 1341, UMR_S 1317, F-35000 Rennes, France
| | - C Garcia-Ruiz
- Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas (CIBERehd), Madrid, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain. University of Barcelona, Barcelona, Spain; Department of Cell Death and Proliferation, Institute of Biomedical Research of Barcelona (IIBB), CSIC, Barcelona, Spain
| | - J I Grove
- Nottingham Digestive Diseases Centre, Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom; NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, United Kingdom
| | - O Konu
- Department of Molecular Biology and Genetics, Faculty of Science, Bilkent University, Ankara, Turkey; Interdisciplinary Neuroscience Program, Bilkent University, Ankara, Turkey; UNAM-Institute of Materials Science and Nanotechnology, Bilkent University, Ankara, Turkey
| | - M Kranendonk
- Center for Toxicogenomics and Human Health (ToxOmics), NMS | FCM, Universidade NOVA de Lisboa, Lisbon, Portugal
| | - G A Kullak-Ublick
- Department of Clinical Pharmacology and Toxicology, University Hospital Zurich, University of Zurich, Zurich, Switzerland; CMO & Patient Safety, Global Drug Development, Novartis Pharma, Basel, Switzerland
| | - J P Miranda
- Research Institute for Medicines (iMed.ULisboa), Faculty of Pharmacy, Universidade de Lisboa, Lisbon, Portugal
| | - A Remesal-Doblado
- Servicios de Aparato Digestivo y Farmacología Clínica, Hospital Universitario Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Universidad de Málaga, Málaga, Spain
| | - P Sancho-Bru
- Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas (CIBERehd), Madrid, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain. University of Barcelona, Barcelona, Spain
| | - L Nelson
- Institute for Bioengineering, School of Engineering, Faraday Building, The University of Edinburgh, Scotland, UK
| | - R J Andrade
- Servicios de Aparato Digestivo y Farmacología Clínica, Hospital Universitario Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Universidad de Málaga, Málaga, Spain; Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas (CIBERehd), Madrid, Spain
| | - A K Daly
- Translational & Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - J C Fernandez-Checa
- Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas (CIBERehd), Madrid, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain. University of Barcelona, Barcelona, Spain; Department of Cell Death and Proliferation, Institute of Biomedical Research of Barcelona (IIBB), CSIC, Barcelona, Spain; Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
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Faccioli LA, Sun Y, Motomura T, Liu Z, Kurihara T, Hu Z, Cetin Z, Franks J, Stolz D, Ostrowska A, Florentino RM, Fox IJ, Soto-Gutierrez A. Human Induced Pluripotent Stem Cell based Hepatic-Modeling of Lipid metabolism associated TM6SF2 E167K variant. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.18.572248. [PMID: 38187603 PMCID: PMC10769275 DOI: 10.1101/2023.12.18.572248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
BACKGROUND AND AIMS TM6SF2 rs58542926 (E167K) is associated with an increase in the prevalence of Metabolic Disfunction-Associated Steatotic Liver Disease (MASLD). Despite all the investigation related to the role of this variant in lipid metabolism, conflicting results in mouse studies underscore the importance of creating a human model for understanding the TM6SF2 mechanism. Therefore, the aim of this study is to generate a reliable human in vitro model that mimic the effects of the TM6SF2 E167K mutation and can be used for future mechanism studies. APPROACH AND RESULTS We performed gene editing on human-induced pluripotent stem cells (iPSC) derived from a healthy individual to obtain the cells carrying the TM6SF2 E167K mutation. After hepatic differentiation, a decrease in TM6SF2 protein expression was observed in the mutated-induced hepatocyte. An increase in intracellular lipid droplets and a decrease in the efflux of cholesterol and ApoB100 were also observed. Transcriptomics analysis showed up-regulation of genes related to the transport, flux, and oxidation of lipids, fatty acids, and cholesterol in TM6SF2 E167K cells. Additionally, signs of cellular stress were observed in the ER and mitochondria. CONCLUSIONS Our findings indicate that induced hepatocytes generated from iPSC carrying the TM6SF2 E167K recapitulate the effects observed in human hepatocytes from individuals with the TM6SF2 mutation. This study characterizes an in vitro model that can be used as a platform to help in the identification of potential clinical targets and therapies and to understand the mechanism by which the TM6SF2 E167K variant leads to vulnerability to MASLD.
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