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This bioinformatic study investigated the molecular mechanisms linking inflammatory bowel disease (IBD) and osteoporosis (OP) by analyzing gene expression data from the GEO database. Through differential expression analysis, weighted gene co-expression network analysis, and machine learning approaches, researchers identified two apoptosis-related genes, WNT1 and S100A8, that are dysregulated in both conditions. WNT1 appears to function primarily through cell cycle and signaling pathways, while S100A8 is involved in immune response mechanisms.
Why it matters
The identification of WNT1 and S100A8 as shared molecular bridges between IBD and osteoporosis could explain why these conditions frequently co-occur and may provide new targets for therapeutic interventions that address both diseases simultaneously. These findings offer a theoretical foundation for developing diagnostic biomarkers and treatment strategies for patients suffering from both conditions.
Understand the Science
by Yue Su, Xiaohui Luo, Haitao Xu
Background
Inflammatory bowel disease (IBD) and osteoporosis (OP) often co-occur, with IBD accelerating OP onset, though the underlying mechanisms remain unclear.
Methods
Based on gene expression data from the GEO database, differential expression analysis was performed using the limma package to identify genes dysregulated in both IBD and OP. Weighted Gene Co-expression Network Analysis (WGCNA) was employed to explore the associations between genes and phenotypes. Candidate genes were obtained by intersecting differentially expressed genes with key WGCNA modules, followed by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses. To further focus on apoptosis-related mechanisms, the candidate genes were intersected with an apoptosis-related gene set and refined using lasso regression. Core genes were identified through differential expression validation and receiver operating characteristic curve analysis. Subsequently, their potential functions and regulatory networks were explored via multidimensional analysis, gene set enrichment analysis, and Pearson correlation analysis.
Results
WNT1 and S100A8 are closely associated with the progression of both inflammatory bowel disease and osteoporosis. Gene Set Enrichment Analysis revealed that WNT1 is primarily enriched in cell cycle checkpoint signaling, chromosome organization, neuroactive ligand signaling, and neuroactive ligand–receptor interaction. In contrast, S100A8 is mainly enriched in adaptive immune response, adaptive immune response based on somatic recombination of immune receptors built from immunoglobulin superfamily, inflammatory bowel disease, and leishmaniasis. Pearson correlation analysis showed that WNT1 is correlated with TSPAN32, POU3F3, NXPH3, EGFL7, LHX3, TNNI2, HMX1, FAM3A, IBTK, and ZNF747, while S100A8 is correlated with MMP3, SLC6A14, MMP10, S100A9, AQP9, S100A12, CXCL6, CXCR1, SLC38A4, and NCF2.
Conclusions
WNT1 and S100A8, which are associated with apoptosis, play critical roles in both inflammatory bowel disease and osteoporosis, providing new potential therapeutic targets and a theoretical basis for clinical diagnosis and treatment.
Source: Apoptosis-related genes bridge inflammatory bowel disease and osteoporosis: A bioinformatic analysis