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铁死亡相关基因:局灶节段性肾小球硬化症的新治疗靶点。

Ferroptosis-related genes, a novel therapeutic target for focal segmental glomerulosclerosis.

机构信息

Department of Nephrology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.

Fujian Medical University, Fuzhou, China.

出版信息

BMC Nephrol. 2024 Feb 17;25(1):58. doi: 10.1186/s12882-024-03490-5.

Abstract

Recent studies have suggested that ferroptosis participates in various renal diseases. However, its effect on focal segmental glomerulosclerosis remains unclear. This study analyzed the GSE125779 and GSE121211 datasets to identify the differentially expressed genes (DEGs) in renal tubular samples with and without FSGS. The Cytoscape was used to construct the protein-protein interaction network. Moreover, the ferroptosis-related genes (FRGs) were obtained from the ferroptosis database, while ferroptosis-related DEGs were obtained by intersection with DEGs. The target genes were analyzed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. The GSE108112 dataset was used to verify the expression of target FRGs. Besides, we built the mRNA-miRNA network regarding FRGs using the NetworkAnalyst database, and circRNAs corresponding to key miRNAs were predicted in the ENCORI database. In this study, 16 ferroptosis-related DEGs were identified between FSGS and healthy subjects, while five co-expressed genes were obtained by three topological algorithms in Cytoscape. These included the most concerned Hub genes JUN, HIF1A, ALB, DUSP1 and ATF3. The KEGG enrichment analysis indicated that FRGs were associated with mitophagy, renal cell carcinoma, and metabolic pathways. Simultaneously, the co-expressed hub genes were analyzed to construct the mRNA-miRNA interaction network and important miRNAs such as hsa-mir-155-5p, hsa-mir-1-3p, and hsa-mir-124-3p were obtained. Finally, 75 drugs targeting 54 important circRNAs and FRGs were predicted. This study identified the Hub FRGs and transcriptomic molecules from FSGS in renal tubules, thus providing novel diagnostic and therapeutic targets for FSGS.

摘要

最近的研究表明,铁死亡参与了各种肾脏疾病。然而,其在局灶节段性肾小球硬化症(FSGS)中的作用尚不清楚。本研究分析了 GSE125779 和 GSE121211 数据集,以鉴定 FSGS 患者和非 FSGS 患者的肾小管样本中的差异表达基因(DEGs)。使用 Cytoscape 构建蛋白-蛋白互作网络。此外,从铁死亡数据库中获取铁死亡相关基因(FRGs),并与 DEGs 取交集得到铁死亡相关 DEGs。通过基因本体论(GO)和京都基因与基因组百科全书(KEGG)分析对靶基因进行分析。使用 GSE108112 数据集验证靶 FRGs 的表达。此外,我们使用 NetworkAnalyst 数据库构建了 FRGs 的 mRNA-miRNA 网络,并在 ENCORI 数据库中预测了关键 miRNA 对应的 circRNAs。在本研究中,我们在 FSGS 患者和健康受试者之间鉴定了 16 个铁死亡相关 DEGs,通过 Cytoscape 中的三种拓扑算法获得了 5 个共表达基因。其中包括最受关注的 Hub 基因 JUN、HIF1A、ALB、DUSP1 和 ATF3。KEGG 富集分析表明,FRGs 与细胞自噬、肾细胞癌和代谢途径有关。同时,分析共表达的 Hub 基因构建 mRNA-miRNA 相互作用网络,得到 hsa-mir-155-5p、hsa-mir-1-3p 和 hsa-mir-124-3p 等重要 miRNAs。最后,预测了针对 54 个重要 circRNAs 和 FRGs 的 75 种药物。本研究鉴定了 FSGS 肾小管中的 Hub FRGs 和转录组分子,为 FSGS 提供了新的诊断和治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d200/10874534/592a9ed10a5b/12882_2024_3490_Fig1_HTML.jpg

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