Bioinformatics analysis based on microarray data reveals molecular crosstalk and immune relationship between...

Area of Science:

• Genomics
• Bioinformatics
• Molecular Biology

Background:

• Sarcopenia and atherosclerosis share potential common pathogenesis and molecular mechanisms.
• The relationship between these conditions remains largely elusive.
• Bioinformatic analysis is crucial for uncovering these links.

Purpose of the Study:

• Identify shared biomarkers for sarcopenia and atherosclerosis.
• Discover potential therapeutic targets for both conditions.
• Provide a theoretical foundation for future research.

Main Methods:

• Screened Gene Expression Omnibus microarray data.
• Identified shared differentially expressed genes (DEGs) using bioinformatics tools.
• Performed functional enrichment, PPI, TF-gene, and TF-miRNA network analyses.
• Predicted drug compounds and analyzed immune infiltration.

Main Results:

• Identified 11 upregulated and 17 downregulated DEGs.
• Enrichment in microglial cell activation and related pathways.
• Discovered 6 hub genes including ADA, AIM2, CSF1R, C1QA, NCF1, and ITGAM.
• Isotretinoin HL60 UP identified as a potential therapeutic agent.

Conclusions:

• Bioinformatic analysis successfully identified potential biomarkers for sarcopenia and atherosclerosis.
• Key therapeutic targets and a promising drug candidate were discovered.
• This study provides a theoretical basis for further investigation into sarcopenia and atherosclerosis.