Genetic and Diet-Induced Animal Models for Non-Alcoholic Fatty Liver Disease (NAFLD) Research


A rapidly increasing incidence of non-alcoholic fatty liver disease (NAFLD) is noted worldwide due to the adoption of western-type lifestyles and eating habits. This makes the understanding of the molecular mechanisms that drive the pathogenesis of this chronic disease and the development of newly approved treatments of utmost necessity. Animal models are indispensable tools for achieving these ends. Although the ideal mouse model for human NAFLD does not exist yet, several models have arisen with the combination of dietary interventions, genetic manipulations and/or administration of chemical substances. Herein, we present the most common mouse models used in the research of NAFLD, either for the whole disease spectrum or for a particular disease stage (e.g., non-alcoholic steatohepatitis). We also discuss the advantages and disadvantages of each model, along with the challenges facing the researchers who aim to develop and use animal models for translational research in NAFLD. Based on these characteristics and the specific study aims/needs, researchers should select the most appropriate model with caution when translating results from animal to human.

Publication DOI:
Divisions: College of Health & Life Sciences > Aston Medical School
Additional Information: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
Uncontrolled Keywords: Review,non-alcoholic fatty liver disease,NAFLD,non-alcoholic steatohepatitis,NASH,animal models,mouse,cirrhosis
Publication ISSN: 1422-0067
Last Modified: 20 Jun 2024 07:20
Date Deposited: 10 Jan 2023 10:22
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Related URLs: https://www.mdp ... 067/23/24/15791 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Review article
Published Date: 2022-12
Published Online Date: 2022-12-13
Accepted Date: 2022-12-10
Submitted Date: 2022-11-02
Authors: Flessa, Christina-Maria
Nasiri-Ansari, Narjes
Kyrou, Ioannis (ORCID Profile 0000-0002-6997-3439)
Leca, Bianca M.
Lianou, Maria
Chatzigeorgiou, Antonios
Kaltsas, Gregory
Kassi, Eva
Randeva, Harpal S.



Version: Published Version

License: Creative Commons Attribution

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