差异表达基因研究显示卡介苗刺激可降低COVID-19的严重程度。

IF 2.6 Q3 IMMUNOLOGY
International Journal of Inflammation Pub Date : 2022-09-10 eCollection Date: 2022-01-01 DOI:10.1155/2022/1490408
Irandi Putra Pratomo, Aryo Tedjo, Dimas R Noor, Wisnu Ananta Kusuma
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引用次数: 0

摘要

众所周知,在结核病流行国家,COVID-19感染和死亡的发生率低于非结核病流行国家。结核病流行国家通常接种卡介苗,此前有报道称,卡介苗对包括COVID-19在内的几种感染具有非特异性保护作用。在本研究中,我们采用差异表达基因(DEG)方法分析卡介苗接种和COVID-19感染调节的基因。利用基因表达Omnibus (GEO)数据库选择包含GSE164805、GSE14408和GSE58636的COVID-19基因表达数据集,使用GEO2R在线工具对每个数据集中的DEG进行鉴定,并采用调整后的p值(padj) 0.05标准进行选择。利用STRING version 11构建具有相同表达趋势(上调或下调)的deg蛋白-蛋白相互作用(PPI)网络。PPI网络采用最高置信度(0.9)。收集具有高信任网络的deg,并使用enrichment数据库对基因本体(GO)的生物过程进行功能聚类分析,对Human KEGG通路进行途径分析,并对covid -19相关基因进行分析。我们发现卡介苗或结核菌素增加了与高炎症相关的几个基因的表达,如CCL3、CCL4、CSF2、IL1B和LTA。在严重的COVID-19中,这些基因被下调。这导致了一种假设,即重新接种疫苗可能通过减少高炎症状态对COVID-19的严重程度具有保护作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Differentially Expressed Genes Study Shown Potential for BCG Stimulation in Reducing the Severity of COVID-19.

Differentially Expressed Genes Study Shown Potential for BCG Stimulation in Reducing the Severity of COVID-19.

Differentially Expressed Genes Study Shown Potential for BCG Stimulation in Reducing the Severity of COVID-19.

Differentially Expressed Genes Study Shown Potential for BCG Stimulation in Reducing the Severity of COVID-19.

The incidence of COVID-19 infection and death is known to be lower in tuberculosis (TB) endemic countries than in nonendemic countries. The Bacillus Calmette-Guerin (BCG) vaccination, which is commonly administered in TB endemic countries, was previously reported to have a nonspecific protective effect against several infections, including COVID-19. In this study, we used a differentially expressed genes (DEG) approach to analyze the genes modulated by BCG vaccination and COVID-19 infection. The Gene Expression Omnibus (GEO) database was used to select a COVID-19 gene expression data set with GSE164805, GSE14408, and GSE58636, and DEG in each data set were identified using the GEO2R online tools and selected using the adjusted p value (padj) 0.05 criteria. The protein-protein interaction (PPI) network was constructed from DEGs with the same trend of expression (upregulation or downregulation) using STRING version 11. The PPI network was performed by using the highest confidence number (0.9). DEGs that have a high-trust network were collected and functional cluster analysis of biological processes from Gene Ontology (GO), pathway analysis from the Human KEGG pathway, and COVID-19-related gene analysis was carried out using the Enrichr database. We found that either BCG or tuberculin increased the expression of several genes related to hyperinflammation, such as CCL3, CCL4, CSF2, IL1B, and LTA. In severe COVID-19, these genes were downregulated. This leads to the hypothesis that revaccination may have a protective effect against the severity of COVID-19 by reducing the hyperinflammatory status.

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来源期刊
CiteScore
3.80
自引率
0.00%
发文量
16
审稿时长
16 weeks
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