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少肌症的分子见解:铁死亡相关基因作为诊断和治疗靶点

Molecular insights into sarcopenia: ferroptosis-related genes as diagnostic and therapeutic targets.

作者信息

Chen Yanzhong, Zhang Yaonan, Zhang Sihan, Ren Hong

机构信息

School of Sport Science, Beijing Sport University, Beijing, China.

Key Laboratory of Physical Fitness and Exercise, Ministry of Education, Beijing Sport University, Beijing, China.

出版信息

J Biomol Struct Dyn. 2024 Jan 16:1-19. doi: 10.1080/07391102.2023.2298390.

Abstract

Ferroptosis, characterized by iron accumulation and lipid peroxidation, leads to cell death. Growing evidence suggests the involvement of ferroptosis in sarcopenia. However, the fundamental ferroptosis-related genes (FRGs) for sarcopenia diagnosis, prognosis, and therapy remain elusive. This study aimed to identify molecular biomarkers of ferroptosis in sarcopenia patients. Gene expression profiles were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between normal and sarcopenia samples were identified using the 'limma' package in R software. FRGs were extracted from GeneCards and FerrDB databases. Functional enrichment analysis determined the roles of DEGs using the 'clusterProfiler' package. A protein-protein network was constructed using Cytoscape software. Immune infiltration analysis and receiver operating characteristic (ROC) analysis were performed. mRNA-miRNA, mRNA-TF, and mRNA-drug interactions were predicted using ENCORI, hTFtarget, and CHIPBase databases. The network was visualized using Cytoscape. We identified 46 FRGs in sarcopenia. Functional enrichment analysis revealed their involvement in critical biological processes, including responses to steroid hormones and glucocorticoids. KEGG enrichment analysis implicated pathways such as carbon metabolism, ferroptosis, and glyoxylate in sarcopenia. Totally, 11 hub genes were identified, and ROC analysis demonstrated their potential as sensitive and specific markers for sarcopenia in both datasets. Additionally, differences in immune cell infiltration were observed between normal and sarcopenia samples. The hub genes identified in this study are closely associated with ferroptosis in sarcopenia and can effectively differentiate sarcopenia from controls. CDKN1A, CS, DLD, FOXO1, HSPB1, LDHA, MDH2, and YWHAZ show high sensitivity and specificity for sarcopenia diagnosis.

摘要

铁死亡以铁蓄积和脂质过氧化为特征,可导致细胞死亡。越来越多的证据表明铁死亡与肌肉减少症有关。然而,用于肌肉减少症诊断、预后和治疗的与铁死亡相关的基本基因(FRGs)仍不明确。本研究旨在识别肌肉减少症患者中铁死亡的分子生物标志物。从基因表达综合数据库(GEO)获取基因表达谱。使用R软件中的“limma”包识别正常样本和肌肉减少症样本之间的差异表达基因(DEGs)。从基因卡片数据库和铁死亡相关基因数据库(FerrDB)中提取FRGs。使用“clusterProfiler”包进行功能富集分析以确定DEGs的作用。使用Cytoscape软件构建蛋白质-蛋白质网络。进行免疫浸润分析和受试者工作特征(ROC)分析。使用ENCORI、hTFtarget和CHIPBase数据库预测mRNA- miRNA、mRNA- TF和mRNA-药物相互作用。使用Cytoscape对网络进行可视化。我们在肌肉减少症中识别出46个FRGs。功能富集分析表明它们参与关键的生物学过程,包括对类固醇激素和糖皮质激素的反应。KEGG富集分析表明碳代谢、铁死亡和乙醛酸循环等通路与肌肉减少症有关。总共识别出11个枢纽基因,ROC分析表明它们在两个数据集中均有潜力作为肌肉减少症敏感且特异的标志物。此外,观察到正常样本和肌肉减少症样本之间免疫细胞浸润存在差异。本研究中识别出的枢纽基因与肌肉减少症中的铁死亡密切相关,能够有效区分肌肉减少症患者和对照组。细胞周期蛋白依赖性激酶抑制因子1A(CDKN1A)、胱硫醚-γ-合酶(CS)、二氢硫辛酸脱氢酶(DLD)、叉头框蛋白O1(FOXO1)、热休克蛋白B1(HSPB1)、乳酸脱氢酶A(LDHA)、苹果酸脱氢酶2(MDH2)和14- 3- 3ζ蛋白(YWHAZ)对肌肉减少症诊断具有高敏感性和特异性。

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