Evidence map›Paper›PMID 39028495›Full record

ArticleInternational urology and nephrology2025

Identification of hub genes associated with pyroptosis in diabetic nephropathy patients using integrated bioinformatic analysis.

Qiuli Wang, Yan Zhou, Nan Zheng, Feng Jiang, Chenxia Juan

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Article in International urology and nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 citing papers in PubMed.

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5 · Who and what money

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5 authors.

Qiuli Wang *Department of Nephrology, Lianyungang Hospital of Traditional Chinese Medicine, Lianyungang Affiliated Hospital of Nanjing University of Chinese Medicine, Lianyungang, China.
Yan Zhou *Department of Nephrology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Nan Zheng *Department of Nephrology, Heilongjiang Academy of Traditional Chinese Medicine, Harbin, China.
Feng JiangDepartment of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China. dxyjiang@163.com.
Chenxia JuanDepartment of Nephrology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China. juancx@njucm.edu.cn.

Funding

National Natural Science Foundation of China 82100753
6 · The paper itself

Abstract

objectivesTo investigate the role of pyroptosis in diabetic nephropathy (DN) and identify potential biomarkers for diagnosis.

methodsWe analyzed the GEO dataset GSE96804 to identify differentially expressed genes (DEGs) related to pyroptosis in DN. The CIBERSORT method was used to assess M1 macrophage infiltration in the samples. Using weighted gene co-expression network analysis (WGCNA), we identified gene modules associated with M1 macrophages. The least absolute shrinkage and selection operator (LASSO) method was then applied to screen for key genes. The intersection of key genes identified by LASSO and the gene modules obtained from WGCNA resulted in the identification of ten hub genes as potential biomarkers for DN.

resultsA total of 366 DEGs were identified, with 310 genes associated with pyroptosis. Increased M1 macrophage infiltration was observed in DN patients. Ten hub genes were identified as potential DN biomarkers: ECM1, LRP2BP, ALKBH7, CDH10, DUSP1, HSPA1A, LPL, NFIL3, PDK4, and TMEM150C.

conclusionsThis study highlights the importance of pyroptosis in DN pathophysiology and identifies 10 hub genes as potential biomarkers. These findings may contribute to improved diagnosis and treatment of DN.

Indexed as

Computational BiologyDiabetic NephropathiesPyroptosisBiomarkersGene Expression ProfilingHumansBiomarkersDiabetesDiabetic nephropathyLASSOPyroptosisWGCNA

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