AUTHOR=Huang Tengda , He Jinyi , Zhou Xinyi , Pan Hongyuan , He Fang , Du Ao , Yu Bingxuan , Jiang Nan , Li Xiaoquan , Yuan Kefei , Wang Zhen 

TITLE=Discovering common pathogenetic processes between COVID-19 and tuberculosis by bioinformatics and system biology approach

JOURNAL=Frontiers in Cellular and Infection Microbiology

VOLUME=13

YEAR=2023

URL=https://www.frontiersin.org/journals/cellular-and-infection-microbiology/articles/10.3389/fcimb.2023.1280223

DOI=10.3389/fcimb.2023.1280223

ISSN=2235-2988

ABSTRACT=<sec><title>Introduction</title><p>The coronavirus disease 2019 (COVID-19) pandemic, stemming from the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has persistently threatened the global health system. Meanwhile, tuberculosis (TB) caused by <italic>Mycobacterium tuberculosis</italic> (<italic>M. tuberculosis</italic>) still continues to be endemic in various regions of the world. There is a certain degree of similarity between the clinical features of COVID-19 and TB, but the underlying common pathogenetic processes between COVID-19 and TB are not well understood.</p></sec><sec><title>Methods</title><p>To elucidate the common pathogenetic processes between COVID-19 and TB, we implemented bioinformatics and systematic research to obtain shared pathways and molecular biomarkers. Here, the RNA-seq datasets (GSE196822 and GSE126614) are used to extract shared differentially expressed genes (DEGs) of COVID-19 and TB. The common DEGs were used to identify common pathways, hub genes, transcriptional regulatory networks, and potential drugs.</p></sec><sec><title>Results</title><p>A total of 96 common DEGs were selected for subsequent analyses. Functional enrichment analyses showed that viral genome replication and immune-related pathways collectively contributed to the development and progression of TB and COVID-19. Based on the protein-protein interaction (PPI) network analysis, we identified 10 hub genes, including IFI44L, ISG15, MX1, IFI44, OASL, RSAD2, GBP1, OAS1, IFI6, and HERC5. Subsequently, the transcription factor (TF)–gene interaction and microRNA (miRNA)–gene coregulatory network identified 61 TFs and 29 miRNAs. Notably, we identified 10 potential drugs to treat TB and COVID-19, namely suloctidil, prenylamine, acetohexamide, terfenadine, prochlorperazine, 3′-azido-3′-deoxythymidine, chlorophyllin, etoposide, clioquinol, and propofol.</p></sec><sec><title>Conclusion</title><p>This research provides novel strategies and valuable references for the treatment of tuberculosis and COVID-19.</p></sec>