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SARS病毒感染相关免疫损伤分子机制和干预药物的生物信息学预测及其对COVID-19的意义 被引量:5

Bioinformatics prediction of molecular mechanism and intervention drugs of SARS-related immune injury and their significance for COVID-19 treatment
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摘要 目的:通过对SARS病毒转录组数据进行临床生物信息学分析,探讨免疫损伤组学机制,预测针对性治疗药物,并为COVID-19的临床治疗提供参考。方法:收集公共基因表达数据库(Gene Expression Omnibus,GEO)中的SARS病毒转录组数据并筛选差异基因,应用富集分析、蛋白质相互作用分析探讨SARS病毒感染相关免疫损伤机制,并应用表观精准治疗平台预测潜在治疗药物。结果:SARS病毒感染相关免疫损伤机制复杂,包括通过Toll样受体等信号通路影响免疫细胞的功能、通过Th17信号通路诱导血浆细胞因子水平升高,以及通过IL-6、NF-κB、TNF等分子生成自身抗体介导自身免疫应答等。川穹、益赛普等药物可能对SARS病毒感染相关免疫损伤具有治疗作用。结论:SARS病毒能够引起大量免疫相关分子及信号通路的异常,川穹、益赛普等药物可能对SARS病毒感染相关免疫损伤具有治疗作用。本研究可为COVID-19的临床治疗提供参考。 Objective To investigate the omics mechanism of SARS-related immune injury and predict targeted therapeutic drugs through clinical bioinformatics analysis of the transcriptome data of SARS virus in order to provide reference for clinical treatment of COVID-19.Methods The transcriptome data of SARA virus were collected from the Gene Expression Oibus(GEO)and used to screen differential genes.Enrichment analysis and protein interaction analysis were performed to investigate the mechanism of immune damage associated with SARS.A platform of epigenetics in precision medicine(EpiMed)was established to predict potential therapeutic drugs.Results The mechanism of SARS-related immune injury was complex,involving affecting the function of immune cells through signaling pathways such as Toll-like receptors,increasing cytokines in plasma through Th17 signaling pathway and inducing autoimmune responses after autoantibodies were generated by molecules such as IL-6,NF-κB,and TNF.Drugs such as Chuanqiong and Etanercept might have therapeutic effects on SARS-related immune damage.Conclusions SARS virus could cause abnormal expression of many immune-related molecules and signaling pathways.Drugs such as Chuanqiong and Etanercept might have therapeutic effects on SARS-related immune damage.This study might provide reference for clinical treatment of COVID-19.
作者 张皓旻 陈浩然 杨亚坤 陈熙勐 张钧栋 郭斌 智鹏 李卓阳 刘格良 杨波 迟小华 王毅兴 卢学春 Zhang Haomin;Chen Haoran;Yang Yakun;Chen Ximeng;Zhang Jundong;Guo Bin;Zhi Peng;Li Zhuoyang;Liu Geliang;Yang Bo;Chi Xiaohua;Wang Yixing;Lu Xuechun(Department of Hematology,the Second Medical Center of the China PLA General Hospital,National Center for Clinical Medicine of Geriatric Diseases,Beijing 100853,China;Management School,Shanxi Medical University,Taiyuan 030002,China;Department of Hematology,China PLA Special Medical Center,Beijing 100088,China;Department of Personnel,Cardiovascular Disease Hospital of Shanxi Province,Taiyuan 030024,China;Department of Pharmacy,China PLA Special Medical Center,Beijing 100088,China;Department of Internal Medicine of Traditional Chinese Medicine,Shanghai East Hospital,Tongji University School of Medicine,Shanghai 200120,China)
出处 《中华微生物学和免疫学杂志》 CAS CSCD 北大核心 2020年第3期165-173,共9页 Chinese Journal of Microbiology and Immunology
基金 浦东新区卫健委学科带头人计划(PWRd2019-04) 浦东新区中医治未病高峰学科(PDZY-2018-0603)。
关键词 SARS病毒 COVID-19 免疫损伤 临床生物信息学 药物预测 SARS virus COVID-19 Immune injury Clinical bioinformatics Drug prediction
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