To investigate the association between gut dysbiosis and late-onset meningitis (LOM) in preterm infants, highlighting its potential clinical significance.
Key Findings:
Increased relative abundance of Pseudomonadota and decreased abundance of Bacillota and Bacteroidota in LOM cases, suggesting a shift in gut microbiota associated with infection risk.
Random Forest classification model based on fecal microbiota showed AUC of 0.88 for distinguishing cases from controls, indicating strong predictive capability.
Fecal volatile profiles changed significantly prior to LOM diagnosis, with AUCs of 0.74 and 0.82 for GC-IMS and GC-TOF-MS respectively, suggesting potential for non-invasive diagnostics.
Interpretation:
The findings suggest that dysbiosis precedes LOM, indicating potential for early identification and intervention in at-risk infants, which could improve clinical outcomes.
Limitations:
Study focused on a specific cohort of preterm infants, limiting generalizability to other populations.
Need for larger, longitudinal multi-omics studies to validate findings and explore underlying mechanisms.
Conclusion:
The study supports the potential for microbiota-directed therapeutics to prevent serious bacterial infections in neonates, highlighting the critical role of gut microbiome in neonatal health and disease prevention.
