The American lifestyle-induced obesity syndrome diet in male and female rodents recapitulates the clinical and transcriptomic features of nonalcoholic fatty liver disease and nonalcoholic steatohepatitis.


Journal

American journal of physiology. Gastrointestinal and liver physiology
ISSN: 1522-1547
Titre abrégé: Am J Physiol Gastrointest Liver Physiol
Pays: United States
ID NLM: 100901227

Informations de publication

Date de publication:
01 09 2020
Historique:
pubmed: 7 8 2020
medline: 15 12 2020
entrez: 7 8 2020
Statut: ppublish

Résumé

The pathogenesis of nonalcoholic fatty liver disease (NAFLD) and the progression to nonalcoholic steatohepatitis (NASH) and increased risk of hepatocellular carcinoma remain poorly understood. Additionally, there is increasing recognition of the extrahepatic manifestations associated with NAFLD and NASH. We demonstrate that intervention with the American lifestyle-induced obesity syndrome (ALIOS) diet in male and female mice recapitulates many of the clinical and transcriptomic features of human NAFLD and NASH. Male and female C57BL/6N mice were fed either normal chow (NC) or ALIOS from 11 to 52 wk and underwent comprehensive metabolic analysis throughout the duration of the study. From 26 wk, ALIOS-fed mice developed features of hepatic steatosis, inflammation, and fibrosis. ALIOS-fed mice also had an increased incidence of hepatic tumors at 52 wk compared with those fed NC. Hepatic transcriptomic analysis revealed alterations in multiple genes associated with inflammation and tissue repair in ALIOS-fed mice. Ingenuity Pathway Analysis confirmed dysregulation of metabolic pathways as well as those associated with liver disease and cancer. In parallel the development of a robust hepatic phenotype, ALIOS-fed mice displayed many of the extrahepatic manifestations of NAFLD, including hyperlipidemia, increased fat mass, sarcopenia, and insulin resistance. The ALIOS diet in mice recapitulates many of the clinical features of NAFLD and, therefore, represents a robust and reproducible model for investigating the pathogenesis of NAFLD and its progression.

Identifiants

pubmed: 32755310
doi: 10.1152/ajpgi.00055.2020
pmc: PMC7509261
doi:

Substances chimiques

Lipids 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

G345-G360

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_U142661184
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/P011462/1
Pays : United Kingdom
Organisme : Medical Research Council (MRC)
ID : MR/P011462/1
Pays : International

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Auteurs

Shelley E Harris (SE)

Oxford Centre for Diabetes, Endocrinology and Metabolism, National Institute for Health Research Oxford Biomedical Research Centre, Churchill Hospital, University of Oxford, Oxford, United Kingdom.

Toryn M Poolman (TM)

Oxford Centre for Diabetes, Endocrinology and Metabolism, National Institute for Health Research Oxford Biomedical Research Centre, Churchill Hospital, University of Oxford, Oxford, United Kingdom.

Anastasia Arvaniti (A)

Oxford Centre for Diabetes, Endocrinology and Metabolism, National Institute for Health Research Oxford Biomedical Research Centre, Churchill Hospital, University of Oxford, Oxford, United Kingdom.
Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, United Kingdom.

Roger D Cox (RD)

Mammalian Genetics Unit, Medical Research Council Harwell Institute, Oxford, United Kingdom.

Laura L Gathercole (LL)

Oxford Centre for Diabetes, Endocrinology and Metabolism, National Institute for Health Research Oxford Biomedical Research Centre, Churchill Hospital, University of Oxford, Oxford, United Kingdom.
Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, United Kingdom.

Jeremy W Tomlinson (JW)

Oxford Centre for Diabetes, Endocrinology and Metabolism, National Institute for Health Research Oxford Biomedical Research Centre, Churchill Hospital, University of Oxford, Oxford, United Kingdom.

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Classifications MeSH