Identification of shared diagnostic genes between osteoporosis and Crohn’s disease through integrated transcriptomic analysis and machine learning

Guirong Yi¹Peng Zhou²Qinxu Yang²Maosheng Zhao²Qiaoqiao Yang²Shensong Li^2*Chenpo Dang^2*

• ¹Lanzhou University Second Hospital, Lanzhou, Gansu Province, China
• ²People's Liberation Army Joint Logistics Support Force 940th Hospital, Lanzhou, Gansu Province, China

Crohn’s disease (CD) is a chronic inflammatory bowel disease. CD-related inflammation can lead to enhanced bone resorption and destruction, thereby increasing the risk of osteoporosis (OP). This study aimed to screen the hub co-diagnostic gene of CD and OP. The gene expression profiles of CD and OP were obtained from the GEO database to select differentially expressed genes (DEGs). The result showed that a total of 8 DEGs and 15 key module genes were found to be related to both CD and OP, from which machine learning screened out 5 potential shared genes. Subsequently, ABO was identified as the hub co-diagnostic gene with good diagnostic value. Gene set enrichment analysis (GSEA) results showed that ABO was involved in the mitochondrial matrix, chromosomal region, and ribosome in both CD and OP. Immune infiltration analysis found that activated CD8 T cell, effector memory CD4 T cell, and immature B cell were all significantly negatively correlated with ABO in both diseases. In vitro experiments confirmed the downregulation of ABO in CD and OP cell models. Overall, ABO was identified as a hub co-diagnostic gene for CD and OP, providing new insights into their co-management.