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Cited by 30

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

In-Vitro Analysis of Glucose and Quercetin Effects on m-TOR and Nrf-2 Expression in HepG2 Cell Line (Diabetes and Cancer Connection)

Yarahmadi, Amir, Khademi, Fatemeh, Mostafavi-Pour, Zohreh, Zal, Fatemeh·2018·Nutrition and Cancer
DOI 10.1080/01635581.2018.1470654
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Abstract

Some types of cancers show a strong relationship with diabetes and play a central role in mortality in the patient population suffering from diabetes mellitus. In this study, HepG2 cells have been used to investigate the toxic effects of hyperglycemia and/or quercetin (Q) on mammalian target of rapamycin (m-TOR) and nuclear factor erythroid 2-related factor 2 (Nrf-2) expression as central molecules involved in cancer. HepG2 cells were cultured with different concentrations of glucose (5.5, 30, and 50 mM) and/or Q (25 µM) for 48 and 72 h. Effects of glucose and/or Q on m-TOR and Nrf-2 expression were assayed by quantitative real-time PCR (qRT-PCR). qRT-PCR results revealed that 30 and 50 mM of glucose increased m-TOR expression at 48 h, although after 72 h, only 30 mM had an increasing effect. At 50 mM, glucose-induced Nrf-2 gene expression after both 48 and 72 h. The results also showed that 25 µM of Q reduced m-TOR and Nrf-2 expression at both 30 and 50 mM after 48 and 72 h incubation. Q has potential effects on reducing oxidative stress caused by hyperglycemia and during diabetes may be able to modulate some carcinogenic signaling pathways.

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Citations

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Research works printed but not linked: 40

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Metadata

Authors
Yarahmadi, A., Khademi, F., Mostafavi-Pour, Z., & Zal, F.
Venue
Nutrition and Cancer
Publisher
Informa UK Limited
Published
2018-05-21
Volume
70
Issue
5
Pages
770-775
ISSN
  • 0163-5581
  • 1532-7914
DOI
10.1080/01635581.2018.1470654
Cited by
30
References
3
Language
en
Funders
Vice-chancellor for Research Affairs of Shiraz University of Medical Sciences (95-11774)

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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.