Meta-Analysis Reveals Compositional and Functional Microbial Changes Associated with Osteoporosis.

Area of Science:

• Microbiome Research
• Bone Metabolism
• Disease Pathophysiology

Background:

• The gut microbiota's role in disease is increasingly recognized, with links to osteoporosis (OP) pathophysiology.
• Existing studies show discrepancies, lacking a consensus on microbial signatures associated with OP.
• Osteoporosis is a common age-related metabolic bone disease with significant public health implications.

Approach:

• Conducted a comprehensive meta-analysis of five publicly available 16S rRNA sequencing datasets.
• Applied rigorous statistical methods, including batch effect adjustment, to identify consistent microbial associations.
• Utilized machine learning (random forest) to confirm microbial differences between osteoporosis and healthy control groups.

Key Points:

• Observed significant gut microbiota compositional shifts in osteoporosis patients.
• Identified increased opportunistic pathogens (e.g., Clostridium sensu stricto, Bacteroides) and lactic acid bacteria (Limosilactobacillus).
• Found depletion of beneficial short-chain fatty acid (SCFA) producers (e.g., Collinsella, Megasphaera) and key metabolic pathways in OP.

Conclusions:

• This meta-analysis provides robust evidence of OP-associated gut microbial dysbiosis.
• Uncovered specific compositional and functional alterations in the gut microbiome relevant to OP pathogenesis.
• Findings offer insights for potential microbiome-targeted therapeutic interventions for osteoporosis management.