[Expression Levels and Regulation of Selenoprotein Genes in Patients With Coronavirus Disease 2019].

Jing Li, Rong-Qiang Zhang, Ling-Zhi Zhang, Yan Qi, Jie Hao, Ao-Yue He, Xu Zhao, Xiu-Qin Li
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Abstract

Objective To investigate the expression levels of selenoprotein genes in the patients with coronavirus disease 2019 (COVID-19) and the possible regulatory mechanisms.Methods The dataset GSE177477 was obtained from the Gene Expression Omnibus,consisting of a symptomatic group (n=11),an asymptomatic group (n=18),and a healthy control group (n=18).The dataset was preprocessed to screen the differentially expressed genes (DEG) related to COVID-19,and gene ontology functional annotation and Kyoto encyclopedia of genes and genomes enrichment analysis were performed for the DEGs.The protein-protein interaction network of DEGs was established,and multivariate Logistic regression was employed to analyze the effects of selenoprotein genes on the presence/absence of symptoms in the patients with COVID-19.Results Compared with the healthy control,the symptomatic COVID-19 patients presented up-regulated expression of GPX1,GPX4,GPX6,DIO2,TXNRD1,SELENOF,SELENOK,SELENOS,SELENOT,and SELENOW and down-regulated expression of TXNRD2 and SELENON (all P<0.05).The asymptomatic patients showcased up-regulated expression of GPX2,SELENOI,SELENOO,SELENOS,SELENOT,and SELENOW and down-regulated expression of SELP (all P<0.05).The results of multivariate Logistic regression analysis showed that the abnormally high expression of GPX1 (OR=0.067,95%CI=0.005-0.904,P=0.042) and SELENON (OR=56.663,95%CI=3.114-856.999,P=0.006) was the risk factor for symptomatic COVID-19,and the abnormally high expression of SELP was a risk factor for asymptomatic COVID-19 (OR=15.000,95%CI=2.537-88.701,P=0.003).Conclusions Selenoprotein genes with differential expression are involved in the regulation of COVID-19 development.The findings provide a new reference for the prevention and treatment of COVID-19.

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[2019年冠状病毒疾病患者硒蛋白基因的表达水平和调控]。
方法 从基因表达总库(Gene Expression Omnibus)中获得数据集 GSE177477,包括无症状组(n=11)、无症状组(n=18)和健康对照组(n=18)。对数据集进行预处理,筛选出与COVID-19相关的差异表达基因(DEG),并对DEG进行基因本体功能注释和京都基因和基因组百科全书富集分析,建立DEG的蛋白-蛋白相互作用网络,并采用多元Logistic回归分析硒蛋白基因对COVID-19患者症状有无的影响。结果 与健康对照组相比,有症状的 COVID-19 患者的 GPX1、GPX4、GPX6、DIO2、TXNRD1、SELENOF、SELENOK、SELENOS、SELENOT 和 SELENOW 表达上调,TXNRD2 和 SELENON 表达下调(所有 PPOR=0.067,95%CI=0.005-0.904,P=0.042)和SELENON(OR=56.663,95%CI=3.114-856.999,P=0.结论 具有差异表达的硒蛋白基因参与了COVID-19发病的调控,该研究结果为COVID-19的防治提供了新的参考。
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来源期刊
中国医学科学院学报
中国医学科学院学报 Medicine-Medicine (all)
CiteScore
0.60
自引率
0.00%
发文量
6813
期刊介绍: Acta Academiae Medicinae Sinicae was founded in February 1979. It is a comprehensive medical academic journal published in China and abroad, supervised by the Ministry of Health of the People's Republic of China and sponsored by the Chinese Academy of Medical Sciences and Peking Union Medical College. The journal mainly reports the latest research results, work progress and dynamics in the fields of basic medicine, clinical medicine, pharmacy, preventive medicine, biomedicine, medical teaching and research, aiming to promote the exchange of medical information and improve the academic level of medicine. At present, the journal has been included in 10 famous foreign retrieval systems and their databases [Medline (PubMed online version), Elsevier, EMBASE, CA, WPRIM, ExtraMED, IC, JST, UPD and EBSCO-ASP]; and has been included in important domestic retrieval systems and databases [China Science Citation Database (Documentation and Information Center of the Chinese Academy of Sciences), China Core Journals Overview (Peking University Library), China Science and Technology Paper Statistical Source Database (China Science and Technology Core Journals) (China Institute of Scientific and Technological Information), China Science and Technology Journal Paper and Citation Database (China Institute of Scientific and Technological Information)].
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