ArticleFrontiers in cellular and infection microbiology2023
Discovering common pathogenetic processes between COVID-19 and tuberculosis by bioinformatics and system biology approach.
Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Viperin: A Multifunctional Protein in Antiviral Immunity and Disease Pathogenesis.Pathogens (Basel, Switzerland) · 2025Review
- Prediction of tuberculosis treatment outcomes using biochemical makers with machine learning.BMC infectious diseases · 2025Article
- Discovering common pathogenetic processes between periodontitis and Alzheimer's disease by bioinformatics and system biology approach.BMC oral health · 2024Article
- Quantitative Proteomic Analysis of Macrophages Infected withInternational journal of molecular sciences · 2024Article
- Exploration of the link between COVID-19 and gastric cancer from the perspective of bioinformatics and systems biology.Frontiers in medicine · 2024Article
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Authors and funding
11 authors.
Funding
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Abstract
Introduction: 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 Methods: 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. Results: 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. Conclusion: This research provides novel strategies and valuable references for the treatment of tuberculosis and COVID-19.
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Registered trials
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