Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 623

The DOI matches its Crossref record; 233 of the 233 references it cites were found in a registry or an index.

Insulin signaling, resistance, and metabolic syndrome: insights from mouse models into disease mechanisms

Open access
Guo, Shaodong·2014·Journal of Endocrinology

Abstract

Insulin resistance is a major underlying mechanism responsible for the ‘metabolic syndrome’, which is also known as insulin resistance syndrome. The incidence of metabolic syndrome is increasing at an alarming rate, becoming a major public and clinical problem worldwide. Metabolic syndrome is represented by a group of interrelated disorders, including obesity, hyperglycemia, hyperlipidemia, and hypertension. It is also a significant risk factor for cardiovascular disease and increased morbidity and mortality. Animal studies have demonstrated that insulin and its signaling cascade normally control cell growth, metabolism, and survival through the activation of MAPKs and activation of phosphatidylinositide-3-kinase (PI3K), in which the activation of PI3K associated with insulin receptor substrate 1 (IRS1) and IRS2 and subsequent Akt→Foxo1 phosphorylation cascade has a central role in the control of nutrient homeostasis and organ survival. The inactivation of Akt and activation of Foxo1, through the suppression IRS1 and IRS2 in different organs following hyperinsulinemia, metabolic inflammation, and overnutrition, may act as the underlying mechanisms for metabolic syndrome in humans. Targeting the IRS→Akt→Foxo1 signaling cascade will probably provide a strategy for therapeutic intervention in the treatment of type 2 diabetes and its complications. This review discusses the basis of insulin signaling, insulin resistance in different mouse models, and how a deficiency of insulin signaling components in different organs contributes to the features of metabolic syndrome. Emphasis is placed on the role of IRS1, IRS2, and associated signaling pathways that are coupled to Akt and the forkhead/winged helix transcription factor Foxo1.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1530/joe-13-0327

Cites

233 of 233 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

2 retracted

Show all 233 references

Research works printed but not linked: 9

  1. 2013, Diabetes, 62, A37
  2. 2008, American Journal of Physiology - Endocrinology And Metabolism, 294, E183, 10.1152/ajpendo.00571.2007 · doi:10.1152/ajpendo.00571.2007
  3. 2013, Journal of Biological Chemistry, 287, 20132
  4. 2010, Journal of Biological Chemistry, 285, 2686, 10.1074/jbc.M109.062349 · doi:10.1074/jbc.m109.062349
  5. Kikani, 2005, Journal of cellular biochemistry, 96, 1157, 10.1002/jcb.20651 · doi:10.1002/jcb.20651
  6. Lin, 2004, Journal of Clinical Investigation, 114, 908, 10.1172/JCI200422217 · doi:10.1172/jci200422217 · Paper page
  7. Michael, 2000, Molecular cell, 6, 87, 10.1016/S1097-2765(00)00010-1 · DOI · Paper page
  8. Obici, 2002, Nature medicine, 8, 1376, 10.1038/nm798 · DOI
  9. 2011, NATURE REVIEWS ENDOCRINOLOGY, 7, 314

Cited by

See all 623

Metadata

Authors
Guo, S.
Venue
Journal of Endocrinology
Published
2013-11-26
Volume
220
Issue
2
Pages
T1-T23
ISSN
  • 0022-0795 (ISSN-L)
  • 1479-6805
OpenAlex
W2094166298
Cited by
623
References
233
FWCI
20.44
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Insulin signaling, resistance, and metabolic syndrome: insights from mouse models into disease mechanisms. https://app.cochat.ai/papers/10.1530/joe-13-0327
The paper
Guo, S. (2014). Insulin signaling, resistance, and metabolic syndrome: insights from mouse models into disease mechanisms. Journal of Endocrinology. https://doi.org/10.1530/joe-13-0327

Data sources

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.