Causal genetic link between gut microbiome, metabolites, and autism spectrum disorder in a European cohort.
Chen Chuxiao, Yang Zongwei, Guo Jun, Liu Yinzhi, Yang Xiaoting, Deng Weiping, Yu Hanyang, Yang Shumei
What this study means for families
This study used genetic analysis to explore whether gut bacteria might cause autism. Researchers found that certain types of gut bacteria may increase autism risk, while others might be protective. When they looked at brain chemicals and nutrients produced by gut bacteria, most connections became weaker, but two bacteria families still showed strong links to higher autism risk. The study suggests gut bacteria changes might contribute to autism development, not the other way around.
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Research summary
This Mendelian randomization study investigated causal relationships between gut microbiota, metabolites, and autism spectrum disorder (ASD) using genetic data from 18,340 individuals for microbiota exposure and 14,759 ASD cases with 155,327 controls. The analysis identified nine bacterial taxa as potential risk factors for ASD, including Methanobacteria, Prevotellaceae, and Lachnospiraceae families, while two taxa (Eisenbergiella and Ruminococcaceae) showed protective effects. When adjusting for neurotransmitter and amino acid metabolites, most associations diminished except for Prevotellaceae and Lachnospiraceae, which remained significant risk factors. Reverse analysis found no evidence that ASD causes gut microbiota changes, suggesting the relationship is unidirectional from microbiota to ASD risk.
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Key findings
- 1
Nine bacterial taxa identified as potential ASD risk factors with odds ratios ranging from 1.16 to 1.63
Confidence: moderateRelevance: Identifies specific microbiota targets for potential therapeutic intervention - 2
Two bacterial genera (Eisenbergiella and Ruminococcaceae) showed protective effects against ASD
Confidence: moderateRelevance: Suggests potential probiotic targets for ASD prevention or management - 3
Prevotellaceae and Lachnospiraceae remained significantly associated with ASD risk after metabolite adjustment
Confidence: moderateRelevance: Indicates robust association independent of known metabolic pathways - 4
No evidence of reverse causality from ASD to gut microbiota composition
Confidence: moderateRelevance: Supports microbiota as potential causal factor rather than consequence of ASD
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Clinical implications
Findings suggest specific gut bacteria may causally influence ASD risk through metabolic pathways. This supports development of targeted microbiome interventions and highlights the importance of gut health in autism. However, clinical translation requires validation in diverse populations and functional studies to understand mechanisms.
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Limitations
Study limited to European cohort, restricting generalizability to other populations. Mendelian randomization relies on genetic instruments which may not capture all microbiota variation. Metabolite adjustments were limited to neurotransmitter and amino acid pathways, potentially missing other relevant metabolic mechanisms.
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Original abstract
Recent studies have illuminated a significant relationship between the gut microbiota and the development and progression of autism spectrum disorder (ASD), mediated through the complex gut-brain axis, where metabolic pathways are crucial. Nevertheless, the exact causal link remains to be elucidated. This study aims to assess the potential causal relationship between the gut microbiota, metabolites, and ASD, utilizing Mendelian randomization methodology. The exposure variable of gut microbiota was ascertained using instrumental variables derived from a genome-wide association study that included a cohort of 18,340 individuals.
The outcome variable comprised genome-wide association study data from 14,759 individuals diagnosed with ASD and 1,55,327 controls. The primary method of analysis was the inverse-variance weighted method. Multivariable multiple regression analysis was conducted to examine the impact of gut microbial metabolites on the established correlations. Inverse-variance weighted analyses revealed that Methanobacteria[c] (odds ratio [OR] = 1.17 [1.03-1.33]), Methanobacteriaceae[f] (OR = 1.17 [1.03-1.33]), Prevotellaceae[f] (OR = 1.29 [1.04-1.60]), Holdemania[g] (OR = 1.23 [1.03-1.45]), Lachnospiraceae[g] (OR = 1.29 [1.06-1.57]), Ruminiclostridium[g] (OR = 1.63 [1.27-2.10]), Terrisporobacter[g] (OR = 1.28 [1.00-1.63]), Methanobacteriales[o] (OR = 1.17 [1.03-1.33]), and Euryarchaeota[p] (OR = 1.16 [1.02-1.32]) serve as risk factors for ASD, while Eisenbergiella[g] (OR = 0.80 [0.68-0.94]) and Ruminococcaceae[g] (OR = 0.79 [0.63-1.00]) exhibit protective roles against ASD.
Adjustments for neurotransmitter and amino acid metabolites effects diminished these associations. However, Prevotellaceae and Lachnospiraceae remained significantly associated with increased ASD risk. Reverse Mendelian randomization analyses did not establish a causal relationship between ASD and gut microbiota composition. Sensitivity tests showed no evidence of heterogeneity or pleiotropy.
Alterations in metabolites induced by the gut microbiota may contribute to ASD susceptibility. Prevotellaceae and Lachnospiraceae are implicated as potential risk factors. Investigating these associations further could unveil novel therapeutic targets and provide deeper insights into ASD's etiological mechanisms.
Evidence Grade
moderate
Grade assigned by AutismInsights based on study type and published abstract.
Study Details
- Journal
- Medicine
- Year
- 2025
- PMID
- 41465974
- DOI
- 10.1097/MD.0000000000046526
MeSH Terms