Integrating bioinformatics and machine learning to unravel shared mechanisms and biomarkers in chronic obstructive pulmonary disease and type 2 diabetes

Our study sheds light on the common pathogenesis and biomarkers of both diseases, and these findings have potential implications for the development of new diagnostic and treatment strategies for COPD and T2DM. Key message What is already known on this topic? Chronic obstructive pulmonary disease (COPD) and type 2 diabetes mellitus (T2DM) often coexist as comorbidities. However, the exact mechanistic link between the two diseases remains complex, multifactorial, and not fully understood. What this study adds? Three biomarkers, including matrix metalloproteinase, laminin α4, and differentially expressed in normal cells and neoplasia domain containing 4 C, were identified as key co-expression hub genes in COPD and T2DM. How this study might affect research, practice or policy? Future studies may benefit from incorporating a larger sample set to further explore and validate the diagnostic and therapeutic effects of these core genes.