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基于生物信息学数据筛选脓毒症生物标志物

Screening of Sepsis Biomarkers Based on Bioinformatics Data
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摘要 目的:通过生物信息学分析方法筛选脓毒症的差异表达基因、寻找Hub基因,为脓毒症的诊断和治疗提供新的基因生物标志物。方法:使用基因表达综合数据库(GEO)检索脓毒症基因表达数据集并筛选差异表达基因(DEGs)。通过蛋白质-蛋白质相互作用网络分析和基因本体功能(GO)分析、京都基因与基因组百科全书(KEGG)通路富集分析来阐明DEGs的分子机制并筛选Hub基因。结果:共鉴定出361个DEGs,其中上调基因163个、下调基因198个。富集结果显示,这些DEGs的功能主要涉及抗原加工和呈递、T细胞生物学、细胞粘附分子和T细胞受体信号通路等。最终分析并确定了CD4、TP53、PTPRC、LCK、ITGAM、ZAP70、CD247、CD2、CD3E和HSP90AB1作为脓毒症的最佳诊断生物标志物。结论:本研究阐明了10个Hub基因(CD4、TP53、PTPRC、LCK、ITGAM、ZAP70、CD247、CD2、CD3E和HSP90AB1)可作为脓毒症诊疗的生物标志物。然而,由于这些Hub基因在脓毒症患者中的普遍性尚未得到验证,今后仍需进一步实验验证。 Objective:To provide novel genetic biomarkers for the diagnosis and treatment of sepsis,bioinformatics analysis was used to screen differentially expressed genes and identify Hub genes in sepsis.Methods:Gene Expression Omnibus(GEO)database was used to retrieve gene expression datasets of sepsis and screen for differentially expressed genes(DEGs).Protein-protein interaction(PPI)network analysis,Gene Ontology(GO)analysis,and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis were used to clarify the molecular mechanism of DEGs,and Hub genes were screened.Results:A total of 361 DEGs were identified,including 163 up-regulated genes and 198 down-regulated genes.Enrichment analysis revealed that these DEGs were primarily involved in antigen processing and presentation,T cell biology,cell adhesion molecules,and T cell receptor signaling pathways.CD4,TP53,PTPRC,LCK,ITGAM,ZAP70,CD247,CD2,CD3E,and HSP90AB1 were determined as optimal diagnostic biomarkers for sepsis.Conclusions:This study elucidated 10 Hub genes(CD4,TP53,PTPRC,LCK,ITGAM,ZAP70,CD247,CD2,CD3E,and HSP90AB1)as potential biomarkers for the diagnosis and treatment of sepsis.However,since the the generalizability of these Hub genes in patients with sepsis remains unvalidated,further experimental verification is still needed in the future.
作者 杨梦霞 刘峻豪 陈腾飞 徐霄龙 刘清泉 YANG Meng-xia;LIU Jun-hao;CHEN Teng-fei;XU Xiao-long;LIU Qing-quan(Beijing Hospital of Traditional Chinese Medicine of Capital Medical University,Beijing,100010,China;Beijing Institute of traditional Chinese Medicine,Beijing,100010,China;Graduate School of Beijing University of Chinese Medicine,Beijing,100029,China;Clinical diagnosis,treatment and research center of sepsis of traditional Chinese medicine,Capital Medical University,Beijing,100010,China)
出处 《现代生物医学进展》 2025年第13期2110-2117,2137,共9页 Progress in Modern Biomedicine
基金 国家中医药管理局高水平中医药重点学科建设项目(zyyzdxk-2023001)。
关键词 脓毒症 差异基因 Hub基因 疾病生物标志物 生物信息学 Sepsis Differentially expressed genes Hub genes Disease biomarkers Bioinformatics
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