Community Modeling Reveals Disrupted Gut Microbial Secretion in Autism Associated With Redox and Neurometabolic Alterations

Emerging evidence suggests that disruptions in the gut microbiome may influence autism spectrum disorder (ASD) through altered microbial metabolism and gut-brain communication. However, the specific metabolic impacts of these microbial changes remain unclear. Community-scale metabolic modeling was applied to shotgun metagenomics data from children with ASD and neurotypical controls to predict secretion of host-impacting metabolites. Modeled ASD-associated communities exhibited altered predicted secretion of metabolites related to redox balance and neurotransmission, including increased 2-ketobutyrate and GABA and reduced riboflavin and inositol, with microbiota transfer therapy (MTT) shifting these profiles toward NT. Empirical fecal metabolomics data showed generally consistent directional trends with model predictions. Reductions in autism severity scores following MTT were associated with increased predicted secretion potentials for inositol and arginine. Taxonomic analysis revealed a depletion of beneficial and an enrichment of pro-inflammatory species, such as Escherichia and Flavonifractor, in ASD. Associations between microbial taxa (e.g., Bacteroides, Bifidobacterium) and neuroactive metabolites highlight microbial modulation as a promising therapeutic strategy in ASD. These results emphasize microbial metabolism as a contributor to ASD traits and a target for therapeutic intervention.

Authors

Institutions

Publication Details

Journal
Biotechnology Journal
Published
2025-12-01
DOI
https://doi.org/10.1002/biot.70164
Citations
1
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
0.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Community Modeling Reveals Disrupted Gut Microbial Secretion in Autism Associated With Redox and Neurometabolic Alterations

Kutlu Ö. Ülgen, Elif Esvap
1 citations
Biotechnology Journal
Gut microbiota and health
0.81
article

Community Modeling Reveals Disrupted Gut Microbial Secretion in Autism Associated With Redox and Neurometabolic Alterations

Kutlu Ö. Ülgen, Elif Esvap
article en
1 citations

Abstract

Emerging evidence suggests that disruptions in the gut microbiome may influence autism spectrum disorder (ASD) through altered microbial metabolism and gut-brain communication. However, the specific metabolic impacts of these microbial changes remain unclear. Community-scale metabolic modeling was applied to shotgun metagenomics data from children with ASD and neurotypical controls to predict secretion of host-impacting metabolites. Modeled ASD-associated communities exhibited altered predicted secretion of metabolites related to redox balance and neurotransmission, including increased 2-ketobutyrate and GABA and reduced riboflavin and inositol, with microbiota transfer therapy (MTT) shifting these profiles toward NT. Empirical fecal metabolomics data showed generally consistent directional trends with model predictions. Reductions in autism severity scores following MTT were associated with increased predicted secretion potentials for inositol and arginine. Taxonomic analysis revealed a depletion of beneficial and an enrichment of pro-inflammatory species, such as Escherichia and Flavonifractor, in ASD. Associations between microbial taxa (e.g., Bacteroides, Bifidobacterium) and neuroactive metabolites highlight microbial modulation as a promising therapeutic strategy in ASD. These results emphasize microbial metabolism as a contributor to ASD traits and a target for therapeutic intervention.

Biotechnology JournalVol. 20(12)
Boğaziçi University (TR)
Openalex Percentile: Top 21%
Gut microbiota and health
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.