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Cited by 1,070

The DOI matches its Crossref record; 295 of the 295 references it cites were found in a registry or an index.

High-fat diet-induced obesity in animal models

Open access
Hariri, Niloofar, Thibault, Louise·2010·Nutrition Research Reviews

Abstract

Epidemiological studies have shown a positive relationship between dietary fat intake and obesity. Since rats and mice show a similar relationship, they are considered an appropriate model for studying dietary obesity. The present paper describes the history of using high-fat diets to induce obesity in animals, aims to clarify the consequences of changing the amount and type of dietary fats on weight gain, body composition and adipose tissue cellularity, and explores the contribution of genetics and sex, as well as the biochemical basis and the roles of hormones such as leptin, insulin and ghrelin in animal models of dietary obesity. The major factors that contribute to dietary obesity – hyperphagia, energy density and post-ingestive effects of the dietary fat – are discussed. Other factors that affect dietary obesity including feeding rhythmicity, social factors and stress are highlighted. Finally, we comment on the reversibility of high-fat diet-induced obesity.

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Crossref · 10.1017/s0954422410000168

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Metadata

Authors
Hariri, N., & Thibault, L.
Venue
Nutrition Research Reviews
Published
2010-10-27
Volume
23
Issue
2
Pages
270-299
ISSN
  • 0954-4224 (ISSN-L)
  • 1475-2700
OpenAlex
W2039663505
Cited by
1,070
References
295
FWCI
9.35
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: High-fat diet-induced obesity in animal models. https://app.cochat.ai/papers/10.1017/s0954422410000168
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Hariri, N., & Thibault, L. (2010). High-fat diet-induced obesity in animal models. Nutrition Research Reviews. https://doi.org/10.1017/s0954422410000168

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.