ORIGINAL RESEARCH article
Front. Endocrinol.
Sec. Renal Endocrinology
Volume 16 - 2025 | doi: 10.3389/fendo.2025.1610882
This article is part of the Research TopicPathophysiology of Diabetic Kidney DiseaseView all 11 articles
Bioinformatics-based analysis and experimental validation of PANoptosis-related biomarkers and immune infiltration in diabetic nephropathy
Provisionally accepted
- 1The Second Clinical College of Fujian Medical University, Quanzhou, Fujian Province, China
- 2Department of Rheumatology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian 362000, P.R. China, Quanzhou, Fujian, China
- 3Department of Nephrology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
- 4Department of Gastroenterology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian 362000, P.R. China, Quanzhou, Fujian, China
- 5Department of General practice, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian 362000, P.R. China, Quanzhou, Fujian, China
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Background: Diabetic nephropathy (DN) is a frequent and serious microvascular complication of diabetes. PANoptosis is a novel mode of cell death that encompasses apoptosis, necrosis and pyroptosis. However, effective PANoptosis-related biomarkers for DN are currently lacking. Therefore, this study aimed to elucidate the role of PANoptosis-related genes (PRGs) in the development of DN and their potential as diagnostic markers of DN, as well as their association with immune cell infiltration.We retrieved the DN-related dataset GSE30122 from the GEO database. Then differentially expressed genes (DEGs) were identified and DEGs were analyzed for functional enrichment. In addition, we obtained key gene modules by WGCNA. Subsequently, we gained the intersecting genes of DEGs, key gene modules and PRGs. Four algorithms were further used to screen the key DE-PRGs in DN (DNDE-PRGs). We also investigated the biological functions of the key DNDE-PRGs by GSEA software. Furthermore, we analyzed the immune infiltration of DN tissues.The correlation of key genes with glomerular filtration rate (GFR) and blood urea nitrogen (BUN) was also examined. Finally, key genes were validated using clinical samples and db/db mice.We identified two key DNDE-PRGs (AKT3 and FYN). They showed good diagnostic value in the DN. And they were associated with immune cell infiltration. In addition, they have a correlation with GFR and BUN. Finally, they were validated in clinical samples and animal experiments.AKT3 and FYN may be good PANoptosis-related biomarkers in DN. This provides new insights into the pathogenesis of DN.
Keywords: diabetic nephropathy, PANoptosis, Immune infiltration, biomarker, Bioinformatics analysis
Received: 13 Apr 2025; Accepted: 15 Aug 2025.
Copyright: © 2025 Zhang, Zhang, Hu, Huang, Zhang and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Xiaoqing Chen, Department of Rheumatology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian 362000, P.R. China, Quanzhou, Fujian, China
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