Potential Genes Associated with COVID-19 and Comorbidity

Area of Science:

• Genetics and Immunology
• Infectious Diseases
• Cardiovascular Medicine

Background:

• Hypertension, diabetes mellitus, and coronary artery disease are significant risk factors for severe COVID-19.
• Genetic variations in comorbidities may influence COVID-19 susceptibility and severity.
• Understanding these genetic links is crucial for predicting disease outcomes.

Purpose of the Study:

• To identify candidate genes associated with both COVID-19 and major comorbidities.
• To explore the functional roles and interactions of these shared genes.
• To provide a genetic basis for personalized COVID-19 treatment strategies.

Main Methods:

• Searched databases (OMIM, NCBI) for relevant genes.
• Constructed protein-protein interaction (PPI) networks.
• Performed Gene Ontology (GO) and KEGG pathway enrichment analyses.

Main Results:

• Identified 11 overlapping genes: TLR4, NLRP3, MBL2, IL6, IL1RN, IL1B, CX3CR1, CCR5, AGT, ACE, and F2.
• GO and KEGG analyses revealed enrichment in COVID-19 and cytokine-cytokine receptor interaction pathways.
• IL6 and AGT emerged as central nodes in the PPI network.

Conclusions:

• The identified genes, particularly IL6 and AGT, play critical roles in immune response and viral infection.
• Targeting these genes and pathways could offer novel therapeutic strategies for COVID-19.
• This research supports the development of personalized treatments for COVID-19 patients with comorbidities.