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Cited by 310

The DOI matches its Crossref record; 146 of the 146 references it cites were found in a registry or an index.

Insulin-Like Signaling, Nutrient Homeostasis, and Life Span

Taguchi, Akiko, White, Morris F.·2008·Annual Review of Physiology

Abstract

Insulin-like signaling is critical for nutrient homeostasis, growth and survival. However, work with lower metazoans—Caenorhabditis elegans and Drosophila—shows that reduced insulin-like signaling extends life span. In addition, reduced insulin signaling in higher animals—rodents and humans—causes glucose intolerance and hyperinsulinemia that progresses to diabetes and shortens the life span of affected individuals. Hyperinsulinemia usually develops to maintain glucose homeostasis and prevent the progression toward life-threatening type 2 diabetes; however, increased circulating insulin may have negative effects on the brain that promote age-related disease. We discuss the possibility that the brain is the site where reduced insulin-like signaling can consistently extend mammalian life span—just as reduced insulin-like signaling extends the life span of lower metazoans.

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Crossref · 10.1146/annurev.physiol.70.113006.100533

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Metadata

Authors
Taguchi, A., & White, M. F.
Venue
Annual Review of Physiology
Published
2008-03-01
Volume
70
Issue
1
Pages
191-212
ISSN
  • 0066-4278 (ISSN-L)
  • 1545-1585
OpenAlex
W2099193967
Cited by
310
References
146
FWCI
1.25
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Insulin-Like Signaling, Nutrient Homeostasis, and Life Span. https://app.cochat.ai/papers/10.1146/annurev.physiol.70.113006.100533
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Taguchi, A., & White, M. F. (2008). Insulin-Like Signaling, Nutrient Homeostasis, and Life Span. Annual Review of Physiology. https://doi.org/10.1146/annurev.physiol.70.113006.100533

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.