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Carbohydrate Metabolism Differs in Infants by Asthma-risk Status and is Associated with the Functional Potential of
Holly M Steininger1, Carlos E Iglesias-Aguirre2, Ariane R Panzer1
1Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA 94143, USA.
Insights
Infant gut microbiome differences at 6 months, specifically the abundance of Bacteroides cellulosilyticus and Hungatella effluvii, are linked to asthma risk. These bacteria may influence metabolic changes associated with childhood atopic disease.
Area of Science:
- Microbiome research
- Pediatric health
- Metabolomics
Background:
- Childhood atopic diseases, like asthma, are associated with delayed gut microbiome development and metabolic dysfunction.
- The specific microbial drivers contributing to asthma risk remain largely unclear.
- Understanding early-life microbial and metabolic profiles is crucial for identifying asthma risk factors.
Purpose of the Study:
- To investigate the microbial and metabolic correlates of asthma risk in 6-month-old infants.
- To identify specific bacterial species and metabolic pathways associated with high asthma risk (HR) versus healthy controls (HC).
Main Methods:
- Genome-resolved metagenomics was used to analyze stool samples from HR (n=7) and HC (n=12) infants.
- Untargeted metabolomics was performed on stool samples from HR (n=11) and HC (n=15) infants.
- Machine learning identified bacterial species linked to asthma risk, and integrative genome-metabolic modeling was employed.
Main Results:
- No significant differences in global taxonomic composition were observed between HR and HC infants.
- Machine learning identified Bacteroides cellulosilyticus, Hungatella effluvii, and Enterocloster aldenensis as more abundant in HC infants.
- Metabolomic analysis revealed distinct profiles: HR infants had more simple sugars, while HC infants had more nitrogenous compounds. B. cellulosilyticus genomes were enriched in carbohydrate metabolism genes.
Conclusions:
- Microbial and metabolic differences in the infant gut at 6 months are associated with asthma risk.
- Bacteroides cellulosilyticus and Hungatella effluvii are identified as candidate bacteria potentially influencing metabolic remodeling related to asthma risk.
- These findings highlight the role of specific gut microbes in early-life metabolic programming and asthma development.
Abstract:
Childhood atopic disease is linked to delayed gut microbiome development and metabolic dysfunction, however microbial drivers remain unclear. To explore microbial correlates of asthma risk during a time of active gut microbiome development, we analyzed stool from 6-month-old infants at high asthma risk (HR) or healthy controls (HC), using Genome-resolved metagenomics (HR=7; HC=12) and untargeted metabolomics (HR=11; HC=15). We recovered 82 bacterial species-level metagenomic-assembled genomes (MAGs). Global Taxonomic composition did not differ by asthma risk. Anticipating that key differences might associate with specific genomes, a machine-learning approach pinpointed Bacteroides cellulosilyticus, Hungatella effluvii, and Enterocloster aldenensis as linked with asthma risk status. All three species were more abundant in HC infants and the B. cellulosilyticus genome was enriched for carbohydrate metabolism genes relative to other MAGs. Metabolomic profiling revealed variance associated with asthma risk (PERMANOVA, R2=0.069, p=0.016). HR fecal metabolomes were enriched in simple sugars, whereas HC contained more nitrogenous compounds. Integrative genome-metabolic modeling of compounds that significantly differentiate asthma-risk groups revealed risk-dependent interactions with community-encoded metabolic potential (CEP), for arabinose and agmatine, whose fecal concentrations are linked with B. cellulosilyticus and H. effluvii functional traits respectively. These findings suggest that microbial-influenced metabolic differences associate with asthma risk at 6 months, with B. cellulosilyticus and H. effluvii emerging as candidate bacteria influencing this observed metabolic remodeling.
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