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Updated: Jun 30, 2025

Intracerebroventricular Delivery of Gut-Derived Microbial Metabolites in Freely Moving Mice
Published on: June 2, 2022
Cluster-specific associations between the gut microbiota and behavioral outcomes in preschool-aged children
Marcel van de Wouw1, Yanan Wang1,2, Matthew L Workentine3
1Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada.
Insights
Childhood gut bacteria clusters are linked to specific behaviors and metabolites. Identifying these gut microbiome patterns may help personalize interventions for better behavioral outcomes in children.
Area of Science:
- Microbiome research
- Metabolomics
- Developmental psychology
Background:
- The gut microbiota significantly influences brain development and behavior in children, but individual variations complicate research.
- This study aimed to identify specific gut microbiome clusters and their associated metabolic pathways linked to child behavior.
Discussion:
- Four distinct gut microbiota clusters were identified in 248 children aged 3-5 years.
- The cluster enriched in Bacteroides and Bifidobacterium (Ba2) exhibited a unique metabolomic profile.
- Specific microbial clusters correlated with adaptive skills, social skills, and daily living abilities.
Key Insights:
- The Ba2 cluster showed lower histidine to urocanate turnover, associated with reduced social skills.
- Increased galactose metabolism compounds (stachyose, raffinose, alpha-D-glucose) were found in cluster Ba2.
- Alpha-D-glucose levels in Ba2 were linked to daily living skills, highlighting a cluster-dependent relationship.
Outlook:
- Findings suggest that stratifying children by gut microbiota composition can reveal novel associations with behavior.
- Cluster-based approaches may pave the way for personalized interventions targeting the gut microbiome to support child development.
- Further research into specific microbial-metabolite-behavior pathways is warranted.
Background:
The gut microbiota is recognized as a regulator of brain development and behavioral outcomes during childhood. Nonetheless, associations between the gut microbiota and behavior are often inconsistent among studies in humans, perhaps because many host-microbe relationships vary widely between individuals. This study aims to stratify children based on their gut microbiota composition (i.e., clusters) and to identify novel gut microbiome cluster-specific associations between the stool metabolomic pathways and child behavioral outcomes.
Methods:
Stool samples were collected from a community sample of 248 typically developing children (3-5 years). The gut microbiota was analyzed using 16S sequencing while LC-MS/MS was used for untargeted metabolomics. Parent-reported behavioral outcomes (i.e., Adaptive Skills, Internalizing, Externalizing, Behavioral Symptoms, Developmental Social Disorders) were assessed using the Behavior Assessment System for Children (BASC-2). Children were grouped based on their gut microbiota composition using the Dirichlet multinomial method, after which differences in the metabolome and behavioral outcomes were investigated.
Results:
Four different gut microbiota clusters were identified, where the cluster enriched in both Bacteroides and Bifidobacterium (Ba2) had the most distinct stool metabolome. The cluster characterized by high Bifidobacterium abundance (Bif), as well as cluster Ba2, were associated with lower Adaptive Skill scores and its subcomponent Social Skills. Cluster Ba2 also had significantly lower stool histidine to urocanate turnover, which in turn was associated with lower Social Skill scores in a cluster-dependent manner. Finally, cluster Ba2 had increased levels of compounds involved in Galactose metabolism (i.e., stachyose, raffinose, alpha-D-glucose), where alpha-D-glucose was associated with the Adaptive Skill subcomponent Daily Living scores (i.e., ability to perform basic everyday tasks) in a cluster-dependent manner.
Conclusions:
These data show novel associations between the gut microbiota, its metabolites, and behavioral outcomes in typically developing preschool-aged children. Our results support the concept that cluster-based groupings could be used to develop more personalized interventions to support child behavioral outcomes. Video Abstract.
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