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Host Factor Interaction Networks Identified by Integrative Bioinformatics Analysis Reveals Therapeutic Implications
Wenjiang Zheng1, Ting Wang1, Peng Wu1
1The First Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou, China.
Insights
This study uncovers shared molecular mechanisms between COVID-19 and chronic obstructive pulmonary disease (COPD) comorbidities. It identifies potential therapeutic targets and drugs, like dexamethasone, to manage these respiratory conditions.
Area of Science:
- Genomics
- Bioinformatics
- Molecular Biology
Background:
- The COVID-19 pandemic exacerbates risks for individuals with comorbidities, particularly chronic obstructive pulmonary disease (COPD).
- Limited understanding exists regarding the molecular mechanisms underlying COVID-19 and COPD comorbidity.
- Accumulating evidence highlights the significant overlap between these two conditions.
Purpose of the Study:
- To elucidate the molecular mechanisms driving the comorbidity of COVID-19 and COPD.
- To identify shared host factors and biological pathways implicated in both diseases.
- To predict potential therapeutic interventions for managing COVID-19 and COPD co-infection.
Main Methods:
- Integrated analysis of gene expression data from COVID-19 and COPD databases.
- Identification of 42 shared host factors through intersection analysis.
- Application of bioinformatics tools for network construction (protein-protein interaction, TF-gene, miRNA-gene) and pathway enrichment analysis.
- Candidate drug prediction based on identified molecular targets.
Main Results:
- Identified key host factor interaction networks and modules associated with COVID-19 and COPD comorbidity.
- Revealed significant biological functions and signaling pathways involved in the co-pathogenesis.
- Dexamethasone, estradiol, progesterone, and nitric oxide were predicted as potential therapeutic interventions.
Conclusions:
- The study elucidates the molecular basis of COVID-19 and COPD comorbidity through host factor interaction networks.
- Identified potential drug candidates offer promising avenues for treating this respiratory comorbidity.
- Findings contribute to enhanced management strategies for patients with co-existing COVID-19 and COPD.
Abstract:
Background: The COVID-19 pandemic poses an imminent threat to humanity, especially for those who have comorbidities. Evidence of COVID-19 and COPD comorbidities is accumulating. However, data revealing the molecular mechanism of COVID-19 and COPD comorbid diseases is limited. Methods: We got COVID-19/COPD -related genes from different databases by restricted screening conditions (top500), respectively, and then supplemented with COVID-19/COPD-associated genes (FDR<0.05, |LogFC|≥1) from clinical sample data sets. By taking the intersection, 42 co-morbid host factors for COVID-19 and COPD were finally obtained. On the basis of shared host factors, we conducted a series of bioinformatics analysis, including protein-protein interaction analysis, gene ontology and pathway enrichment analysis, transcription factor-gene interaction network analysis, gene-microRNA co-regulatory network analysis, tissue-specific enrichment analysis and candidate drug prediction. Results: We revealed the comorbidity mechanism of COVID-19 and COPD from the perspective of host factor interaction, obtained the top ten gene and 3 modules with different biological functions. Furthermore, we have obtained the signaling pathways and concluded that dexamethasone, estradiol, progesterone, and nitric oxide shows effective interventions. Conclusion: This study revealed host factor interaction networks for COVID-19 and COPD, which could confirm the potential drugs for treating the comorbidity, ultimately, enhancing the management of the respiratory disease.
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