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Im YR, Hunter H, de Gracia Hahn D, Duret A, Cheah Q, Dong J, Fairey M, Hjalmarsson C, Li A, Lim HK, McKeown L, Mitrofan CG, Rao R, Utukuri M, Rowe IA, Mann JP. A Systematic Review of Animal Models of NAFLD Finds High-Fat, High-Fructose Diets Most Closely Resemble Human NAFLD. Hepatology 2021; 74:1884-1901. [PMID: 33973269 DOI: 10.1002/hep.31897] [Citation(s) in RCA: 62] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 04/29/2021] [Accepted: 05/04/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND AND AIMS Animal models of human disease are a key component of translational hepatology research, yet there is no consensus on which model is optimal for NAFLD. APPROACH AND RESULTS We generated a database of 3,920 rodent models of NAFLD. Study designs were highly heterogeneous, and therefore, few models had been cited more than once. Analysis of genetic models supported the current evidence for the role of adipose dysfunction and suggested a role for innate immunity in the progression of NAFLD. We identified that high-fat, high-fructose diets most closely recapitulate the human phenotype of NAFLD. There was substantial variability in the nomenclature of animal models: a consensus on terminology of specialist diets is needed. More broadly, this analysis demonstrates the variability in preclinical study design, which has wider implications for the reproducibility of in vivo experiments both in the field of hepatology and beyond. CONCLUSIONS This systematic analysis provides a framework for phenotypic assessment of NAFLD models and highlights the need for increased standardization and replication.
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Affiliation(s)
- Yu Ri Im
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Harriet Hunter
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Dana de Gracia Hahn
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Amedine Duret
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Qinrong Cheah
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Jiawen Dong
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Madison Fairey
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | | | - Alice Li
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Hong Kai Lim
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Lorcán McKeown
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | | | - Raunak Rao
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Mrudula Utukuri
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Ian A Rowe
- Leeds Institute for Medical Research and Leeds Institute for Data Analytics, University of Leeds, Leeds, United Kingdom
| | - Jake P Mann
- Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
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3
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Teo K, Abeysekera KWM, Adams L, Aigner E, Anstee QM, Banales JM, Banerjee R, Basu P, Berg T, Bhatnagar P, Buch S, Canbay A, Caprio S, Chatterjee A, Ida Chen YD, Chowdhury A, Daly AK, Datz C, de Gracia Hahn D, DiStefano JK, Dong J, Duret A, Emdin C, Fairey M, Gerhard GS, Guo X, Hampe J, Hickman M, Heintz L, Hudert C, Hunter H, Kelly M, Kozlitina J, Krawczyk M, Lammert F, Langenberg C, Lavine J, Li L, Lim HK, Loomba R, Luukkonen PK, Melton PE, Mori TA, Palmer ND, Parisinos CA, Pillai SG, Qayyum F, Reichert MC, Romeo S, Rotter JI, Im YR, Santoro N, Schafmayer C, Speliotes EK, Stender S, Stickel F, Still CD, Strnad P, Taylor KD, Tybjærg-Hansen A, Umano GR, Utukuri M, Valenti L, Wagenknecht LE, Wareham NJ, Watanabe RM, Wattacheril J, Yaghootkar H, Yki-Järvinen H, Young KA, Mann JP. rs641738C>T near MBOAT7 is associated with liver fat, ALT and fibrosis in NAFLD: A meta-analysis. J Hepatol 2021; 74:20-30. [PMID: 32882372 PMCID: PMC7755037 DOI: 10.1016/j.jhep.2020.08.027] [Citation(s) in RCA: 71] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 07/29/2020] [Accepted: 08/20/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND & AIMS A common genetic variant near MBOAT7 (rs641738C>T) has been previously associated with hepatic fat and advanced histology in NAFLD; however, these findings have not been consistently replicated in the literature. We aimed to establish whether rs641738C>T is a risk factor across the spectrum of NAFLD and to characterise its role in the regulation of related metabolic phenotypes through a meta-analysis. METHODS We performed a meta-analysis of studies with data on the association between rs641738C>T genotype and liver fat, NAFLD histology, and serum alanine aminotransferase (ALT), lipids or insulin. These included directly genotyped studies and population-level data from genome-wide association studies (GWAS). We performed a random effects meta-analysis using recessive, additive and dominant genetic models. RESULTS Data from 1,066,175 participants (9,688 with liver biopsies) across 42 studies were included in the meta-analysis. rs641738C>T was associated with higher liver fat on CT/MRI (+0.03 standard deviations [95% CI 0.02-0.05], pz = 4.8×10-5) and diagnosis of NAFLD (odds ratio [OR] 1.17 [95% CI 1.05-1.3], pz = 0.003) in Caucasian adults. The variant was also positively associated with presence of advanced fibrosis (OR 1.22 [95% CI 1.03-1.45], pz = 0.021) in Caucasian adults using a recessive model of inheritance (CC + CT vs. TT). Meta-analysis of data from previous GWAS found the variant to be associated with higher ALT (pz = 0.002) and lower serum triglycerides (pz = 1.5×10-4). rs641738C>T was not associated with fasting insulin and no effect was observed in children with NAFLD. CONCLUSIONS Our study validates rs641738C>T near MBOAT7 as a risk factor for the presence and severity of NAFLD in individuals of European descent. LAY SUMMARY Fatty liver disease is a common condition where fat builds up in the liver, which can cause liver inflammation and scarring (including 'cirrhosis'). It is closely linked to obesity and diabetes, but some genes are also thought to be important. We did this study to see whether one specific change ('variant') in one gene ('MBOAT7') was linked to fatty liver disease. We took data from over 40 published studies and found that this variant near MBOAT7 is linked to more severe fatty liver disease. This means that drugs designed to work on MBOAT7 could be useful for treating fatty liver disease.
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Affiliation(s)
- Kevin Teo
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | | | - Leon Adams
- Medical School, Faculty of Health and Medical Sciences, University of Western Australia, Perth, WA, Australia; Department of Hepatology, Sir Charles Gairdner Hospital, Perth, WA, Australia
| | - Elmar Aigner
- First Department of Medicine, Paracelsus Medical University Salzburg, Austria
| | - 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
| | - Jesus M Banales
- Department on Liver and Gastrointestinal Diseases, Biodonostia Health Research Institute, Donostia University Hospital, University of the Basque Country (UPV/EHU), CIBERehd, Ikerbasque, San Sebastian, Spain
| | | | | | - Thomas Berg
- Division of Hepatology, Department of Medicine II, Leipzig University Medical Center, Leipzig, Germany
| | | | - Stephan Buch
- Medical Department 1, University Hospital Dresden, Technische Universität Dresden (TU Dresden), Dresden, Germany
| | - Ali Canbay
- Gastroenterology, Hepatology and Infectiology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Sonia Caprio
- Yale University, Department of Pediatrics, New Haven, CT, USA
| | | | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Abhijit Chowdhury
- Institute of Post Graduate Medical Education and Research, Kolkata, India
| | - Ann K Daly
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Christian Datz
- Department of Internal Medicine, General Hospital Oberndorf, Teaching Hospital of the Paracelsus Medical University Salzburg, Oberndorf, Austria
| | | | - Johanna K DiStefano
- Diabetes and Fibrotic Disease Unit Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
| | - Jiawen Dong
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Amedine Duret
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Connor Emdin
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Boston, MA, USA
| | - Madison Fairey
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Glenn S Gerhard
- Department of Medical Genetics and Molecular Biochemistry, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Jochen Hampe
- Medical Department 1, University Hospital Dresden, Technische Universität Dresden (TU Dresden), Dresden, Germany
| | - Matthew Hickman
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
| | - Lena Heintz
- Department of Medicine II, Saarland University Medical Center, Saarland University, Homburg, Germany
| | - Christian Hudert
- Department of Pediatric Gastroenterology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Harriet Hunter
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | | | - Julia Kozlitina
- Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Marcin Krawczyk
- Department of Medicine II, Saarland University Medical Center, Saarland University, Homburg, Germany; Laboratory of Metabolic Liver Diseases, Department of General, Transplant and Liver Surgery, Centre for Preclinical Research, Medical University of Warsaw, Warsaw, Poland
| | - Frank Lammert
- Department of Medicine II, Saarland University Medical Center, Saarland University, Homburg, Germany
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Joel Lavine
- Department of Pediatrics, Columbia University, New York, NY, USA
| | - Lin Li
- BioStat Solutions LLC, Frederick, MD, USA
| | - Hong Kai Lim
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Rohit Loomba
- NAFLD Research Center, Division of Gastroenterology and Epidemiology, University of California at San Diego, La Jolla, CA, USA
| | - Panu K Luukkonen
- Minerva Foundation Institute for Medical Research, Helsinki, Finland; Department of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Yale University School of Medicine, New Haven, CT, USA
| | - Phillip E Melton
- School of Global Population Health, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, WA, Australia; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin University, Perth, WA, Australia; Menzies Institute for Medical Research, College of Health and Medicine, University of Tasmania, Hobart, Australia
| | - Trevor A Mori
- Medical School, Faculty of Health and Medical Sciences, University of Western Australia, Perth, WA, Australia
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Constantinos A Parisinos
- Institute of Health Informatics, Faculty of Population Health Sciences, University College London, London, UK
| | | | - Faiza Qayyum
- Department of Clinical Biochemistry, Rigshospitalet Copenhagen University Hospital, Copenhagen, Denmark
| | - Matthias C Reichert
- Department of Medicine II, Saarland University Medical Center, Saarland University, Homburg, Germany
| | - Stefano Romeo
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden; Cardiology Department, Sahlgrenska University Hospital, Gothenburg, Sweden; Clinical Nutrition Unit, Department of Medical and Surgical Sciences, University Magna Graecia, Catanzaro, Italy
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Yu Ri Im
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Nicola Santoro
- Yale University, Department of Pediatrics, New Haven, CT, USA; Department of Medicine and Health Sciences 'V. Tiberio' University of Molise, Campobasso, Italy
| | - Clemens Schafmayer
- Department of Visceral and Thoracic Surgery, Kiel University, Kiel, Germany
| | - Elizabeth K Speliotes
- Division of Gastroenterology and Hepatology, Department of Medicine, University of Michigan Health System, Ann Arbor, MI, USA; Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Stefan Stender
- Department of Clinical Biochemistry, Rigshospitalet Copenhagen University Hospital, Copenhagen, Denmark
| | - Felix Stickel
- Department of Gastroenterology and Hepatology, University Hospital of Zurich, Zurich, Switzerland
| | | | - Pavel Strnad
- Medical Clinic III, University Hospital RWTH Aachen, Aachen, Germany
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Anne Tybjærg-Hansen
- Department of Clinical Biochemistry, Rigshospitalet Copenhagen University Hospital, Copenhagen, Denmark
| | - Giuseppina Rosaria Umano
- Yale University, Department of Pediatrics, New Haven, CT, USA; Department of the Woman, the Child, of General and Specialized Surgery, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Mrudula Utukuri
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Luca Valenti
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy; Translational Medicine, Department of Transfusion Medicine and Hematology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milano, Milan, Italy
| | - Lynne E Wagenknecht
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Richard M Watanabe
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Julia Wattacheril
- Department of Medicine, Center for Liver Disease and Transplantation, Columbia University College of Physicians and Surgeons, New York Presbyterian Hospital, New York, NY, USA
| | - Hanieh Yaghootkar
- Genetics of Complex Traits, College of Medicine and Health, University of Exeter, Exeter, UK
| | - Hannele Yki-Järvinen
- Minerva Foundation Institute for Medical Research, Helsinki, Finland; Department of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Kendra A Young
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, CO, USA
| | - Jake P Mann
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
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4
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Hunter H, de Gracia Hahn D, Duret A, Im YR, Cheah Q, Dong J, Fairey M, Hjalmarsson C, Li A, Lim HK, McKeown L, Mitrofan CG, Rao R, Utukuri M, Rowe IA, Mann JP. Weight loss, insulin resistance, and study design confound results in a meta-analysis of animal models of fatty liver. eLife 2020; 9:56573. [PMID: 33063664 PMCID: PMC7647398 DOI: 10.7554/elife.56573] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 10/15/2020] [Indexed: 12/30/2022] Open
Abstract
The classical drug development pipeline necessitates studies using animal models of human disease to gauge future efficacy in humans, however there is a low conversion rate from success in animals to humans. Non-alcoholic fatty liver disease (NAFLD) is a complex chronic disease without any established therapies and a major field of animal research. We performed a meta-analysis with meta-regression of 603 interventional rodent studies (10,364 animals) in NAFLD to assess which variables influenced treatment response. Weight loss and alleviation of insulin resistance were consistently associated with improvement in NAFLD. Multiple drug classes that do not affect weight in humans caused weight loss in animals. Other study design variables, such as age of animals and dietary composition, influenced the magnitude of treatment effect. Publication bias may have increased effect estimates by 37-79%. These findings help to explain the challenge of reproducibility and translation within the field of metabolism.
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Affiliation(s)
- Harriet Hunter
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Dana de Gracia Hahn
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Amedine Duret
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Yu Ri Im
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Qinrong Cheah
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Jiawen Dong
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Madison Fairey
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | | | - Alice Li
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Hong Kai Lim
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Lorcan McKeown
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | | | - Raunak Rao
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Mrudula Utukuri
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Ian A Rowe
- Leeds Institute for Medical Research & Leeds Institute for Data Analytics, University of Leeds, Leeds, United Kingdom
| | - Jake P Mann
- Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
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