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Background: IgA nephropathy (IgAN) is the most common primary glomerulonephritis worldwide. Aging is a major risk factor for progression of IgAN to end-stage renal disease. The purpose of this study was to identify and verify aging-related genes associated with IgAN through bioinformatics analysis.
Methods: Microarray datasets of GSE93798 and GSE37460 were downloaded from the Gene Expression Omnibus (GEO) database. The aging-related DEGs (AR-DEGs) associated with IgAN were analyzed using R programming software, and then Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were performed. The PPI network of AR-DEGs was then constructed, and hub genes were ranked using five methods of the cytoHubba plugin in Cytoscape software. CIBERSORT algorithm was used to evaluate immune infiltration and its relationship with hub genes. Next, Nephroseq V5 online platform was used to verify and analyze the mRNA expression patterns of hub genes in IgAN patients and normal controls.
Results: A total of 372 differentially expressed genes (DEGs) were identified, of which 158 were upregulated and 214 were downregulated. GO and KEGG enrichment analyses mainly focused on regulation of macrophage-derived foam cell differentiation and PI3K-Akt signaling pathway. Based on the results of PPI network analysis, eight hub genes were identified, including AGT, ALB, CD36, EGF, KDR, LPL, MYC, and PPARGC1A. Immune infiltration analysis indicated that CD36 was closely related to immune cell infiltration. Furthermore, the expression levels of these hub genes were validated using the Nephroseq V5 online platform. Further clinical samples confirmed that CD36 was highly expressed in renal tissues of IgAN patients.
Conclusion: These findings provide new insights into potential aging-related genes associated with IgAN, which may contribute to better understanding the pathogenesis of IgAN. CD36 may have diagnostic value for aging-related IgAN.
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http://dx.doi.org/10.2147/IJGM.S530953 | DOI Listing |
Phytother Res
September 2025
Department of Pharmacy, Shanghai General Hospital Jiuquan Hospital (The People's Hospital of Jiuquan), Jiuquan, China.
To evaluate the efficacy and explore the potential mechanism of curcumin for the treatment and prevention of NSCLC. We searched six databases thoroughly for articles published before December 2024. Stata 15.
View Article and Find Full Text PDFAm J Hum Genet
September 2025
Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK; The Royal Marsden NHS Foundation Trust, Fulham Road, London, UK. Electronic address:
Multiplex assays of variant effect (MAVEs) provide promising new sources of functional evidence, potentially empowering improved classification of germline genomic variants, particularly rare missense variants, which are commonly assigned as variants of uncertain significance (VUSs). However, paradoxically, quantification of clinically applicable evidence strengths for MAVEs requires construction of "truthsets" comprising missense variants already robustly classified as pathogenic and benign. In this study, we demonstrate how benign truthset size is the primary driver of applicable functional evidence toward pathogenicity (PS3).
View Article and Find Full Text PDFInt Immunopharmacol
September 2025
The Second Department of Gastroenterology, Shengjing Hospital of China Medical University, No. 36, Sanhao Road, Heping District, Shenyang 110000, Liaoning, China. Electronic address:
Purpose: This study aimed to elaborate the mechanism of cuproptosis induced by HO in ulcerative colitis (UC).
Methods: Bioinformatics based on GSE107499, GSE87466, and GSE92415 datasets was performed to screen hub genes related to cuproptosis. In vitro, cell counting kit 8 (CCK8), flow cytometry were applied for detecting cell proliferation and apoptosis.
Comput Biol Chem
September 2025
Department of Bioengineering and Biotechnology, Birla Institute of Technology, Mesra, Ranchi, India. Electronic address:
Women are susceptible to hormonal imbalances and endocrine-related disorders such as Polycystic Ovary Syndrome (PCOS), Ovarian Cancer (OC), and Major Depressive Disorder (MDD). This study aims to identify gene-level interconnections among these conditions using omics-based bioinformatic approaches. Publicly available GEO datasets, viz.
View Article and Find Full Text PDFAm J Reprod Immunol
September 2025
Department of Laboratory Animal Science, Kunming Medical University, Kunming, China.
Objective: To explore B cell infiltration-related genes in endometriosis (EM) and investigate their potential as diagnostic biomarkers.
Methods: Gene expression data from the GSE51981 dataset, containing 77 endometriosis and 34 control samples, were analyzed to detect differentially expressed genes (DEGs). The xCell algorithm was applied to estimate the infiltration levels of 64 immune and stromal cell types, focusing on B cells and naive B cells.