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Cited by 386

The DOI matches its Crossref record; 113 of the 113 references it cites were found in a registry or an index.

Quercetin and metabolic syndrome: A review

Hosseini, Azar, Razavi, Bibi Marjan, Banach, Maciej, Hosseinzadeh, Hossein·2021·Phytotherapy Research
DOI 10.1002/ptr.7144
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Abstract

Metabolic syndrome (MetS) is a complex of diseases that lead to mortality due to the development of cardiovascular problems. Quercetin, as an important flavonoid, has various properties such as decreasing blood pressure, anti‐hyperlipidemia, anti‐hyperglycemia, anti‐oxidant, antiviral, anticancer, anti‐inflammatory, anti‐microbial, neuroprotective, and cardio‐protective effects. In this review article, we collected original articles from different sources such as Google Scholar, Medline, Scopus, and Pubmed, which is related to the effect of quercetin on the improvement of the signs of MetS, including elevated glucose level, hyperlipidemia, obesity, and blood pressure. According to these data, quercetin may also have a role in the management of metabolic disorders via different mechanisms such as increasing adiponectin, decreasing leptin, anti‐oxidant activity, reduction of insulin resistance, the elevation of insulin level, and blocking of calcium channel. We have attempted to make some recommendations on the quercetin application in patients. However, it needs to do further clinical trials and more investigations to show the real clinical value of quercetin on metabolic syndrome.

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Crossref · 10.1002/ptr.7144

Cites

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Citations

Cites

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Cited by

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Metadata

Authors
Hosseini, A., Razavi, B. M., Banach, M., & Hosseinzadeh, H.
Venue
Phytotherapy Research
Publisher
Wiley
Published
2021-06-08
Volume
35
Issue
10
Pages
5352-5364
ISSN
  • 0951-418X (ISSN-L)
  • 1099-1573
DOI
10.1002/ptr.7144
OpenAlex
W3171144340
Cited by
386
References
113
FWCI
35.36
Type
journal article
Language
en
Open access
closed

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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.