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Screening the hub genes and analyzing the mechanisms in discharged COVID-19 patients retesting positive through bioinformatics analysis.
Fang, Ke-Ying; Liang, Gui-Ning; Zhuang, Zhuo-Qing; Fang, Yong-Xin; Dong, Yu-Qian; Liang, Chuang-Jia; Chen, Xin-Yan; Guo, Xu-Guang.
  • Fang KY; Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Hospital of Guangzhou Medical University, Guangzhou, China.
  • Liang GN; Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China.
  • Zhuang ZQ; Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Hospital of Guangzhou Medical University, Guangzhou, China.
  • Fang YX; Department of Clinical Medicine, Nan Shan School of Guangzhou Medical University, Guangzhou, China.
  • Dong YQ; Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Hospital of Guangzhou Medical University, Guangzhou, China.
  • Liang CJ; Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China.
  • Chen XY; Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Hospital of Guangzhou Medical University, Guangzhou, China.
  • Guo XG; Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China.
J Clin Lab Anal ; 36(7): e24495, 2022 Jul.
Article in English | MEDLINE | ID: covidwho-1877609
ABSTRACT

BACKGROUND:

After encountering COVID-19 patients who test positive again after discharge, our study analyzed the pathogenesis to further assess the risk and possibility of virus reactivation.

METHODS:

A separate microarray was acquired from the Gene Expression Omnibus (GEO), and its samples were divided into two groups a "convalescent-RTP" group consisting of convalescent and "retesting positive" (RTP) patients (group CR) and a "healthy-RTP" group consisting of healthy control and RTP patients (group HR). The enrichment analysis was performed with R software, obtaining the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Subsequently, the protein-protein interaction (PPI) networks of each group were established, and the hub genes were discovered using the cytoHubba plugin.

RESULTS:

In this study, 6622 differentially expressed genes were identified in the group CR, among which RAB11B-AS1, DISP1, MICAL3, PSMG1, and DOCK4 were up-regulated genes, and ANAPC1, IGLV1-40, SORT1, PLPPR2, and ATP1A1-AS1 were down-regulated. 7335 genes were screened in the group HR, including the top 5 up-regulated genes ALKBH6, AMBRA1, MIR1249, TRAV18, and LRRC69, and the top 5 down-regulated genes FAM241B, AC018529.3, AL031963.3, AC006946.1, and FAM149B1. The GO and KEGG analysis of the two groups revealed a significant enrichment in immune response and apoptosis. In the PPI network constructed, group CR and group HR identified 10 genes, respectively, and TP53BP1, SNRPD1, and SNRPD2 were selected as hub genes.

CONCLUSIONS:

Using the messenger ribonucleic acid (mRNA) expression data from GSE166253, we found TP53BP1, SNRPD1, and SNRPD2 as hub genes in RTP patients, which is vital to the management and prognostic prediction of RTP patients.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Computational Biology / COVID-19 Type of study: Diagnostic study / Experimental Studies / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: J Clin Lab Anal Journal subject: Laboratory Techniques and procedures Year: 2022 Document Type: Article Affiliation country: Jcla.24495

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Computational Biology / COVID-19 Type of study: Diagnostic study / Experimental Studies / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: J Clin Lab Anal Journal subject: Laboratory Techniques and procedures Year: 2022 Document Type: Article Affiliation country: Jcla.24495