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Cited by 594

The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.

Dietary polyphenols as potential nutraceuticals in management of diabetes: a review

Open access
Bahadoran, Zahra, Mirmiran, Parvin, Azizi, Fereidoun·2013·Journal of Diabetes & Metabolic Disorders

Abstract

In recent years, there is growing evidence that plant-foods polyphenols, due to their biological properties, may be unique nutraceuticals and supplementary treatments for various aspects of type 2 diabetes mellitus. In this article we have reviewed the potential efficacies of polyphenols, including phenolic acids, flavonoids, stilbenes, lignans and polymeric lignans, on metabolic disorders and complications induced by diabetes. Based on several in vitro, animal models and some human studies, dietary plant polyphenols and polyphenol-rich products modulate carbohydrate and lipid metabolism, attenuate hyperglycemia, dyslipidemia and insulin resistance, improve adipose tissue metabolism, and alleviate oxidative stress and stress-sensitive signaling pathways and inflammatory processes. Polyphenolic compounds can also prevent the development of long-term diabetes complications including cardiovascular disease, neuropathy, nephropathy and retinopathy. Further investigations as human clinical studies are needed to obtain the optimum dose and duration of supplementation with polyphenolic compounds in diabetic patients.

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Metadata

Authors
Bahadoran, Z., Mirmiran, P., & Azizi, F.
Venue
Journal of Diabetes & Metabolic Disorders
Published
2013-08-13
Volume
12
Issue
1
Pages
43-43
ISSN
2251-6581 (ISSN-L)
OpenAlex
W2164612869
Cited by
594
References
89
FWCI
25.24
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Dietary polyphenols as potential nutraceuticals in management of diabetes: a review. https://app.cochat.ai/papers/10.1186/2251-6581-12-43
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Bahadoran, Z., Mirmiran, P., & Azizi, F. (2013). Dietary polyphenols as potential nutraceuticals in management of diabetes: a review. Journal of Diabetes & Metabolic Disorders. https://doi.org/10.1186/2251-6581-12-43

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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.