文章摘要
西多福韦治疗新型冠状病毒肺炎的组学预测分析
Omics prediction analysis of COVID-19 treatment with cidofovir
  
DOI:10.3969/j.issn.1007-8134.2021.02.007
中文关键词: 西多福韦  新型冠状病毒肺炎  生物信息学  基因表达谱  表观精准治疗预测平台
英文关键词: cidofovir  COVID-19  bioinformatics  gene expression profile  EpiMed
基金项目:2017 年度国家老年疾病临床医学研究中心招标课题(NCRCG-PLAGH-2017011);中国人民解放军总医院转化医学项目(2017TM-020);中国人民解放军总医院2019年度保健专项科研课题(19BJZ28);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)
作者单位
智 鹏 山西医科大学管理学院 
张皓旻 中国人民解放军总医院第二医学中心血液科 
王毅兴 同济大学附属东方医院中医科 
迟小华 火箭军特色医学中心药剂科 
陈浩然 山西医科大学管理学院 
陈熙勐 中国人民解放军总医院第二医学中心血液科 
张钧栋 中国人民解放军总医院第二医学中心血液科 
李卓阳 山西医科大学管理学院 
刘格良 山西医科大学管理学院 
杨 波 中国人民解放军总医院第二医学中心血液科 
叶 芳 北京市垂杨柳医院血液科 
卢学春 山西医科大学管理学院 
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中文摘要:
      目的 探讨西多福韦治疗新型冠状病毒肺炎的组学机制。方法 应用R语言对基因表达数据库(gene expression omnibus, GEO)中西多福韦相关的全基因组表达谱开展差异分析、富集分析、蛋白互作网络分析,应用自主研发的表观精准治疗预测平台(epigenomic precision medicine prediction platform, EpiMed)筛选与西多福韦关联的疾病和药物。结果 检索GEO并筛选得到GSE39293数据集,差异表达分析共筛选出585个差异表达基因,其中上调差异表达基因494个,下调差异表达基因91个。基因本体论富集条目共53条,主要与干扰病毒复制、I型干扰素作用、免疫调节等有关。京都基因与基因组百科全书富集条目共244条,主要与抗病毒、抗凋亡、免疫调节、凝血系统相关信号通路等有关。蛋白互作网络分析筛选出CDK1、CCNA2、CDC6、KIF11、MAD2L1、NDC80、RRM2、ASPM、NCAPG、CENPU为排名前10位的核心基因。EpiMed预测西多福韦调控的基因组表达谱与肺炎、严重急性呼吸综合征等疾病呈负相关,与利巴韦林、α-干扰素等药物呈正相关,与衣霉素、诺氟沙星等抗生素呈负相关。结论 西多福韦能够对机体全基因组产生影响,可能通过诱导感染细胞凋亡降低体内严重急性呼吸综合征冠状病毒-2数量,通过免疫调节、凝血系统相关信号通路等对机体免疫失调及重型患者出现的凝血功能异常进行调节,达到治疗新型冠状病毒肺炎的作用。
英文摘要:
      Objective To?explore?the?omics?mechanism?of?cidofovir?in?the?treatment?of?COVID-19. Methods The R language was used to analyze the difference, enrichment and protein interaction of cidofovir related genome-wide expression profiles in the gene expression omnibus (GEO) database, and the self-developed epigenomic precision medicine (EpiMed) prediction platform was used to filter the diseases and drugs associated with cidofovir. Results GSE39293?data sets?were?retrieved?and?filtered?in?GEO?database.?Total?of?585?differentially?expressed?genes?were?screened?by?differential?expression analysis,?among?which?494?genes?were?up-regulated?and?91?genes?were?down-regulated. There?were?53?gene ontology enrichment?items,?which?were?mainly?related?to?interfering with virus replication, type I interferon action and immune regulation. There?were?244?kyoto encyclopedia of genes and genomes?enrichment?items,?which?were?mainly?related?to?antivirus,?anti-apoptosis,?immune?regulation?and coagulation?system related signal pathways. CDK1, CCNA2, CDC6, KIF11, MAD2L1, NDC80, RRM2, ASPM, NCAPG?and?CENPU?were?screened?as?the?top?10?core?genes?by?protein?interaction?network?analysis. EpiMed predicted?that?the?genome?expression?profile?regulated?by?cidofovir?was?negatively?correlated?with?diseases?such?as?pneumonia?and severe?acute?respiratory syndrome. It?was?positively?correlated?with?ribavirin and?alpha-interferon. It?was?negatively correlated?with?antibiotics?such?as?chlamycin and?norfloxacin. Conclusions Cidofovir can affect the whole genome of the organism and may reduce the number of SARS-COV-2 in vivo by inducing apoptosis of infected cells. Through immunoregulation and coagulation system related signaling pathways, the body’s immune disorders and coagulation dysfunction in severe patients can be regulated to achieve the effect of treating COVID-19.
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