Evidence map›Paper›PMID 40785752›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2025

A Network Pharmacology-Based Investigation into the Mechanism of Quercetin Combined with Rosuvastatin in Delaying Diabetic Nephropathy via Inhibiting NRK-52E Cell Ferroptosis.

Meishe Gan, Zhiyuan Lin, Junxue Ma, Ning Li, Biaoliang Wu

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Meishe Gan *Department of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.
Zhiyuan Lin *Department of Endocrinology, The People's Hospital of Baise, Baise, Guangxi, People's Republic of China.
Junxue MaDepartment of Nephrology, The People's Hospital of Baise, Baise, Guangxi, People's Republic of China.
Ning LiDepartment of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.
Biaoliang WuDepartment of Endocrinology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, People's Republic of China.ORCID 0009-0004-7852-3546

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Diabetic nephropathy (DN) is a leading cause of end-stage renal disease, and current therapeutic options are limited in effectively managing DN progression. Renal tubular epithelial cell (RTEC) ferroptosis has emerged as a critical mechanism contributing to DN pathogenesis. This study aimed to investigate the potential synergistic effects of quercetin (QCT) and rosuvastatin (RSV) on inhibiting RTEC ferroptosis and ameliorating DN progression, providing a novel combinatorial therapeutic strategy. Methods: Public database data were analyzed using network pharmacology to identify QCT-DN-related and RSV-DN-related targets, followed by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses. NRK-52E cells were cultured in vitro under high glucose conditions (30 mM glucose) to induce damage, then incubated with QCT and/or RSV. Enzyme-linked immunosorbent assay measured inflammatory cytokines (IL-6, TGF-β, TNF-α), flow cytometry detected reactive oxygen species (ROS), and colorimetric assays quantified superoxide dismutase (SOD), malondialdehyde (MDA), and iron ions. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) evaluated ferroptosis-related genes (GPX4, SLC7A11). Results: Network pharmacology analysis revealed primary enrichment of both QCT-DN-related and RSV-DN-related targets in ferroptosis-related pathways. In vitro cell experiments showed that both QCT and RSV, when used individually, significantly inhibited the expression of inflammatory cytokines (IL-6, TGF-β, and TNF-α), ROS generation, SOD levels, MDA levels, iron ion levels, and the expression of ferroptosis-related genes (GPX4 and SLC7A11) in NRK-52E cells under high-glucose conditions. Furthermore, compared to the individual use of QCT or RSV, the combined use of QCT and RSV demonstrated a more significant inhibitory effect on the inflammatory phenotype and ferroptosis levels in NRK-52E cells. Conclusion: This study highlights the potential of combining QCT and RSV for DN management. Network pharmacology confirmed associations between QCT/RSV targets and NRK-52E cell ferroptosis. In vitro experiments validated superior protective effects of co-treatment over individual treatments, warranting further in vivo investigation.

Indexed as

diabetic nephropathyferroptosisnetwork pharmacologyquercetinrosuvastatin

Identifiers

PMID40785752
PMCPMC12335270

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.