To investigate the association of specific bacterial genomic structural variations (SVs) with autism spectrum disorder (ASD) and their potential as diagnostic indicators.
Approach:
Key Findings:
Identified 100 bacterial SVs significantly associated with ASD (p<0.05), suggesting their potential role in diagnosis.
Distinct bacterial SV signatures linked to metabolic dysregulation and gut dysbiosis in ASD, highlighting their diagnostic implications.
Critical SVs in Bacteroides uniformis regulate neurodevelopment-related thiamine and iron metabolism, correlating with ASD-related behaviours.
SVs related to the toxin-antitoxin system in Ruminococcus torques implicated in its overgrowth in ASD, suggesting a pathogenic role.
A diagnostic panel combining nine SVs and three bacterial species achieved an AUC of 81.1%, outperforming species-only panels, indicating a promising diagnostic tool.
Interpretation:
Gut bacterial genomic SVs are linked to metabolic dysregulation and dysbiosis in children with ASD, suggesting their potential as biomarkers for diagnosis.
Limitations:
Study limited to specific cohorts; broader validation needed to generalize findings.
Potential confounding factors, such as diet and environment, were not fully controlled, which may affect results.
Conclusion:
This study highlights the potential of microbial genomic SV-based biomarkers for diagnosing childhood ASD, emphasizing the role of gut microbiome in ASD pathogenesis and its implications for future research.
