Evidence map›Paper›PMID 41195365›Full record

ArticleInternational journal of general medicine2025

Exploring Ferroptosis-Related Genes in Depression: Insights Into Molecular Mechanisms and Potential Therapies.

Pengpeng Li, Yangyang Gao, Miaobo Li, Shiqing Du, Xudong Zhao, Yiting Zhou

Abstract read
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Article in International journal of general medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Pengpeng LiDepartment of Neurosugery, Xi'an Aerospace Hospital of Northwest University, Xi'an, Shaanxi, 710000, People's Republic of China.ORCID 0009-0008-4744-625X
Yangyang GaoDepartment of Critical Care Medicine, Ningxia Medical University, Yinchuan, Ningxia, 750004, People's Republic of China.
Miaobo LiDepartment of Critical Care Medicine, the Second Hospital of Lanzhou University, Lanzhou, Gansu, 730030, People's Republic of China.
Shiqing DuDepartment of Interventional Radiology, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, 214125, People's Republic of China.
Xudong ZhaoDepartment of Interventional Radiology, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, 214125, People's Republic of China.
Yiting ZhouDepartment of Interventional Radiology, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, 214125, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to investigate the role of ferroptosis-related genes in depression pathogenesis and identify potential therapeutic strategies through integrated bioinformatics and traditional Chinese medicine (TCM) approaches. Methods: We analyzed the GSE38206 dataset comprising peripheral blood mononuclear cell samples from 9 MDD patients and 9 healthy controls. Bioinformatics analyses including differential expression screening, functional enrichment, and protein-protein interaction network construction were performed to identify ferroptosis-associated hub genes. Potential therapeutic agents were screened through connectivity mapping and TCM network pharmacology analysis. Results: Our analysis identified 60 ferroptosis-related differentially expressed genes and revealed 17 core genes that form a central regulatory network in depression. These genes are primarily involved in inflammatory response, iron metabolism, and oxidative stress pathways. We identified five potential small-molecule compounds (VX-702, gossypol, atomoxetine, TWS-119, and ibudilast) that may target these ferroptosis-related pathways. Additionally, network pharmacology analysis revealed several TCM compounds (including ginseng, saffron, and Salvia miltiorrhiza) that demonstrate multi-target regulatory capabilities consistent with TCM treatment principles. Conclusion: This study provides evidence supporting the involvement of ferroptosis-related mechanisms in depression and proposes a integrative treatment strategy combining targeted molecular interventions with TCM approaches. The findings offer new perspectives for developing therapeutic interventions, particularly for treatment-resistant depression.

Indexed as

bioinformaticsdepressionferroptosisoxidative stresstraditional chinese medicine

Identifiers

PMID41195365
PMCPMC12584815

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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.