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Age-Dependent Gut Microbiome Dysbiosis in Autism Spectrum Disorder and the Role of Key Bacterial Ratios
Tanya Kadiyska1,2, Dimitar Vassilev2,3, Ivan Tourtourikov2,4
1Department of Physiology and Pathophysiology, Medical University, 1431 Sofia, Bulgaria.
Insights
Gut microbiome dysbiosis may serve as a biomarker for autism spectrum disorder (ASD). Children with ASD showed significantly altered bacterial ratios, particularly in younger age groups, suggesting early-life disruptions.
Area of Science:
- Microbiome research
- Neurodevelopmental disorders
- Gut-brain axis
Background:
- Autism spectrum disorder (ASD) significantly impacts quality of life and development.
- Early intervention and support are crucial for individuals with ASD.
- The gut microbiome's role in ASD via the gut-brain axis is under investigation, but specific biomarkers are unclear.
Purpose of the Study:
- To investigate gut microbiota composition differences between ASD patients and neurotypical controls.
- To assess specific microbial ratios (Firmicutes/Bacteroidetes, Actinobacteria/Proteobacteria, Prevotella/Bacteroides) as potential ASD biomarkers.
Main Methods:
- Analysis of gut microbiome samples from 302 Bulgarian children and adolescents with ASD (aged 2-19 years).
- Calculation and comparison of microbial ratios against European neurotypical reference means.
- Statistical analysis using t-tests, Wilcoxon signed-rank tests, and binomial tests; effect sizes quantified by Cohen's d.
Main Results:
- Children with ASD exhibited significantly lower Firmicutes/Bacteroidetes and Actinobacteria/Proteobacteria ratios.
- The youngest cohort (0-4 years) showed the most pronounced differences.
- Prevotella/Bacteroides ratio deviations varied by age, with an elevation in the oldest group (≥10 years).
- Overall, ASD cases displayed microbiota profiles indicative of dysbiosis.
Conclusions:
- Gut microbiome dysbiosis is a potential biomarker for ASD, evidenced by altered bacterial ratios.
- Microbiome shifts in ASD may reflect early-life disruptions impacting neurodevelopment.
- Further longitudinal and mechanistic studies are needed to confirm causality and explore therapeutic modulation.
Abstract:
Background/Objectives: Autism spectrum disorder (ASD) has a wide-ranging impact on individuals' quality of life and development, and there is a critical need for greater awareness, early intervention, and comprehensive support strategies to effectively address the unique needs of those affected by ASD. Recent studies highlight the gut microbiome's potential role in modulating ASD symptoms via the gut-brain axis, but specific microbial biomarkers remain unclear. This study aims to investigate differences in gut microbiota composition between ASD patients and neurotypical controls in a novel approach, specifically assessing ratios of Firmicutes/Bacteroidetes (F/B), Actinobacteria/Proteobacteria (A/P), and Prevotella/Bacteroides (P/B) as potential biomarkers. Methods: We analyzed gut microbiome samples from 302 Bulgarian children and adolescents diagnosed with ASD (aged 2-19 years). Microbial ratios (F/B, A/P, and P/B) were calculated and compared against previously reported reference meta-analytic means from European neurotypical populations. The statistical significance of deviations was assessed using parametric (t-tests), non-parametric (Wilcoxon signed-rank tests), and proportion-based (binomial tests) methods. Effect sizes were quantified using Cohen's d. Significant differences between ASD cases and neurotypical reference values were observed across several age groups. Results: Notably, children with ASD demonstrated significantly lower F/B and A/P ratios, with the youngest cohort (0-4 years) exhibiting the greatest differences. Deviations in the P/B ratio varied across age groups, with a significant elevation in the oldest group (≥10 years). Collectively, ASD cases consistently exhibited microbiota profiles indicative of dysbiosis. Conclusions: Our findings support gut microbiome dysbiosis as a potential biomarker for ASD, highlighting significantly altered bacterial ratios compared to neurotypical controls. These microbiome shifts could reflect early-life disruptions influencing neurodevelopment. Future studies should adopt longitudinal and mechanistic approaches to elucidate causal relationships and evaluate therapeutic microbiome modulation strategies.
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