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Cited by 685

The DOI matches its Crossref record; 142 of the 142 references it cites were found in a registry or an index.

Molecular Mechanisms Linking Oxidative Stress and Diabetes Mellitus

Open access
Yaribeygi, Habib, Sathyapalan, Thozhukat, Atkin, Stephen L., Sahebkar, Amirhossein·2020·Oxidative Medicine and Cellular Longevity

Abstract

Type 2 diabetes mellitus (T2DM) is the most prevalent metabolic disorder characterized by chronic hyperglycemia and an inadequate response to circulatory insulin by peripheral tissues resulting in insulin resistance. Insulin resistance has a complex pathophysiology, and it is contributed to by multiple factors including oxidative stress. Oxidative stress refers to an imbalance between free radical production and the antioxidant system leading to a reduction of peripheral insulin sensitivity and contributing to the development of T2DM via several molecular mechanisms. In this review, we present the molecular mechanisms by which the oxidative milieu contributes to the pathophysiology of insulin resistance and diabetes mellitus.

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Crossref · 10.1155/2020/8609213

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Metadata

Authors
Yaribeygi, H., Sathyapalan, T., Atkin, S. L., & Sahebkar, A.
Venue
Oxidative Medicine and Cellular Longevity
Publisher
Wiley
Published
2020-03-09
Volume
2020
Pages
1-13
ISSN
  • 1942-0994 (ISSN-L)
  • 1942-0900
OpenAlex
W3009739189
Cited by
685
References
142
FWCI
36.76
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Molecular Mechanisms Linking Oxidative Stress and Diabetes Mellitus. https://app.cochat.ai/papers/10.1155/2020/8609213
The paper
Yaribeygi, H., Sathyapalan, T., Atkin, S. L., & Sahebkar, A. (2020). Molecular Mechanisms Linking Oxidative Stress and Diabetes Mellitus. Oxidative Medicine and Cellular Longevity. https://doi.org/10.1155/2020/8609213

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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.