Exploring the mechanisms of chronic obstructive pulmonary disease and Crohn’s disease: a bioinformatics-based study

Abstract

Abstract This study explored the comorbid mechanisms between Crohn’s disease (CD) and chronic obstructive pulmonary disease (COPD) using bioinformatics analysis. From the Gene Expression Omnibus (GEO) microarray dataset, 349 common differentially expressed genes (coDEGs) were identified, and 8 shared hub genes were found: CCL2, CXCL1, TLR2, ICAM1, PTPRC, ITGAX, PTGS2, and MMP9, which were vital for immune function and regulation of inflammatory responses. In addition, the study also analyzed the association between coDEGs and immune cell infiltration using the single-sample gene set enrichment algorithm (ssGSEA). Potential drugs related to these genes were identified using the connectivity map (CMap). These findings provided new perspectives for understanding the interaction between CD and COPD.

Keywords

• Crohn’s disease
• Chronic obstructive pulmonary disease
• Bioinformatics analysis
• Single-sample gene set enrichment algorithm
• Connectivity map