Integrative analysis of serum microorganisms and serum metabolomics in osteoporosis patients based on 16S rDNA sequencing and UHPLC/MS-based metabolomics

Introduction Although significant progress has been made in the treatment and research of osteoporosis patients in recent years, the genetic mechanism of osteoporosis has not yet been fully elucidated. Methods We conducted a comprehensive analysis using 16S sequencing and UHPLC–MS/MS metabolomics data to characterize the microbial composition and metabolic composition in the serum of osteoporosis patients. Results At the phylum level, Proteobacteria are mainly present in Osteoporosis; In Normal, it is mainly Bacteroidota . At the genus level, Cupriavidus is the main species in Osteoporosis; In Normal, the main ones are Blautia , Bacteroides , Alcaligenes and Pseudomonas . Serum metabolomics revealed different metabolites (230 significantly differentially expressed metabolites) and lipid metabolism pathways (such as Glycerophospholipid metabolism) among the two groups. The combined serum microbiota and serum metabolomics datasets demonstrate a correlation reflecting the impact of microbiota on metabolic activity ( p 0.05). Discussion Our research findings indicate that microbiota and metabolomics analysis provide important candidate biomarkers. The correlation between these serum microbiota and host metabolism is of great significance for optimizing early diagnosis and developing personalized treatment strategies. This study elucidates the relationship between serum microbiota and metabolites in osteoporosis.