Evidence map›Paper›PMID 42015773›Full record

ArticleJournal of traditional Chinese medicine = Chung i tsa chih ying wen pan2026

Identification and verification of key genes related to oxidative stress in type 2 diabetes and screening of candidate drugs from Traditional Chinese Medicine.

H U Jingnan, Liao Man, X I Zhongwen, Song Jing, Wang Yining, H E Tao

Abstract read
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Article in Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan, 2026. 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

H U JingnanDepartment of Analysis and Testing Center,Hebei Industrial Technology Institute for Traditional Chinese Medicine Preparation,Shijiazhuang 050011,China.
Liao ManDepartment of Analysis and Testing Center,Hebei Industrial Technology Institute for Traditional Chinese Medicine Preparation,Shijiazhuang 050011,China.
X I ZhongwenDepartment of Analysis and Testing Center,Hebei Industrial Technology Institute for Traditional Chinese Medicine Preparation,Shijiazhuang 050011,China.
Song JingDepartment of Analysis and Testing Center,Hebei Industrial Technology Institute for Traditional Chinese Medicine Preparation,Shijiazhuang 050011,China.
Wang YiningDepartment of Analysis and Testing Center,Hebei Industrial Technology Institute for Traditional Chinese Medicine Preparation,Shijiazhuang 050011,China.
H E TaoDepartment of Anesthesiology,Hebei Provincial Hospital of Chinese Medicine,Shijiazhuang 050011,China.

Funding

Scientific Research Project of Hebei Administration of Traditional Chinese Medicine: Study on the Pharmacodynamic Material Basis and Mechanism of Cyanotis arachnoidea in the Treatment of Type 2 Diabetes Mellitus 2024009
6 · The paper itself

Abstract

objectiveTo identify oxidative stress (OS)-related genes involved in type 2 diabetes mellitus (T2DM) and screen potential Traditional Chinese Medicine (TCM) candidates for therapeutic use.

methodsGene expression data from the GSE23343 dataset were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between healthy and T2DM patients were identified. Weighted gene co-expression network analysis (WGCNA) was performed to select modules highly correlated with clinical traits, and core genes within these modules were identified. OS-related genes were retrieved from the GeneCards database, and the overlapping DEGs, WGCNA genes, and OS-related genes were considered as hub genes in OS-related T2DM. These hub genes were validated in GSE15653 dataset. Potential TCMs were identified by mapping the hub genes to the Coremine Medical database.

resultsA total of 394 DEGs (136 up-regulated and 258 down-regulated DEGs.) were identified in the GSE23343 cohort. WGCNA results showed that the turquoise module (cor = -0.56,

conclusionThese findings highlight the critical roles of IL33, S100A8, GOLM1, SNRNP70, HGFAC, and OSGIN1 as biomarkers in OS-related T2DM and suggest that Wedelolactone may be a promising TCM-based therapeutic candidate for T2DM.

Indexed as

Diabetes Mellitus, Type 2Drugs, Chinese HerbalOxidative StressAnimalsHumansMaleMedicine, Chinese TraditionalRatsDrugs, Chinese Herbalcomputational biologydiabetes mellitus, type 2gene expression profilingmedicine, Chinese traditionaloxidative stressWedelolactone

Identifiers

PMID42015773
PMCPMC13077102

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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.