Zhu Wenhui, Chen Yao, Xiao Jing, Cheng Chuchu, Ma Guijie, Wang Yang, Zhang Yonggang, Chen Ming
Department of Renal Division Heilongjiang Academy of Chinese Medicine Sciences, Harbin, China.
College of Traditional Chinese Medicine Changchun University of Chinese Medicine, Changchun, China.
Int J Genomics. 2024 Aug 14;2024:8851124. doi: 10.1155/2024/8851124. eCollection 2024.
Exploring key genes and potential molecular pathways of ferroptosis in immunoglobulin A nephropathy (IgAN). The IgAN datasets and ferroptosis-related genes (FRGs) were obtained in the Gene Expression Omnibus (GEO) and FerrDb database. Differentially expressed genes (DEGs) were identified using R software and intersected with FRGs to obtain differentially expressed FRGs (DE-FRGs). After that, the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis (PEA) and Gene Ontology (GO) functional annotation were performed on DE-FRGs. In the Search Tool for the Retrieval of Interacting Genes (STRING) website, we construct a protein-protein interaction (PPI) network. The PPI network was further investigated with screening hub genes with Cytoscape software. The core genes were then subjected to gene set enrichment analysis (GSEA). Finally, the samples were analyzed for immune infiltration in R, and the correlation between hub genes and immune cells was analyzed. A total of 347 DEGs were identified. CD44, CDO1, CYBB, IL1B, RRM2, AKR1C1, activated transcription factor-3 (ATF3), CDKN1A, GDF15, JUN, MGST1, MIOX, MT1G, NR4A1, PDK4, TNFAIP3, and ZFP36 were determined as DE-FRGs. JUN, IL1B, and ATF3 were then screened as hub genes. GSEA and immune infiltration analysis revealed that the hub genes were closely associated with immune inflammatory responses such as NOD-like receptor signaling, IL-17 signaling, and TNF signaling. Our results show that JUN and ATF3 are possibly critical genes in the process of IgAN ferroptosis and may be related with immune cell infiltration.
探索免疫球蛋白A肾病(IgAN)中 ferroptosis 的关键基因和潜在分子途径。在基因表达综合数据库(GEO)和 FerrDb 数据库中获取 IgAN 数据集和 ferroptosis 相关基因(FRGs)。使用 R 软件鉴定差异表达基因(DEGs),并与 FRGs 进行交集分析以获得差异表达的 FRGs(DE-FRGs)。之后,对 DE-FRGs 进行京都基因与基因组百科全书(KEGG)通路富集分析(PEA)和基因本体论(GO)功能注释。在搜索相互作用基因的工具(STRING)网站上,构建蛋白质-蛋白质相互作用(PPI)网络。使用 Cytoscape 软件进一步筛选枢纽基因来研究 PPI 网络。然后对核心基因进行基因集富集分析(GSEA)。最后,在 R 中分析样本的免疫浸润情况,并分析枢纽基因与免疫细胞之间的相关性。共鉴定出 347 个 DEGs。确定 CD44、CDO1、CYBB、IL1B、RRM2、AKR1C1、活化转录因子-3(ATF3)、CDKN1A、GDF15、JUN、MGST1、MIOX、MT1G、NR4A1、PDK4、TNFAIP3 和 ZFP36 为 DE-FRGs。然后筛选出 JUN、IL1B 和 ATF3 作为枢纽基因。GSEA 和免疫浸润分析表明,枢纽基因与 NOD 样受体信号传导、IL-17 信号传导和 TNF 信号传导等免疫炎症反应密切相关。我们的结果表明,JUN 和 ATF3 可能是 IgAN ferroptosis 过程中的关键基因,并且可能与免疫细胞浸润有关。