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Functional Shifts in Gut Microbiota and Associated Metabolites Suggest Gut-Brain Axis Dysregulation in Pediatric
Shabana M Shaik1, Gabriele Schiro1, Daniel Laubitz1
1Department of Pediatrics, Daniel Cracchiolo Institute for Pediatric Autoimmune Disease Research, Steele Children's Research Center, University of Arizona, Tucson, AZ 85721, USA.
Insights
Pediatric Autoimmune Neuropsychiatric Disorders Associated with Streptococcal infections (PANDAS) show altered gut bacteria and metabolites, indicating disrupted gut-brain axis signaling. This research opens doors for new microbiome-based PANDAS treatments.
Area of Science:
- Neuroscience
- Microbiology
- Immunology
Background:
- Pediatric Autoimmune Neuropsychiatric Disorders Associated with Streptococcal infections (PANDAS) involve neuropsychiatric symptoms and immune dysregulation.
- The gut-brain axis and host-microbiome interactions are implicated in neuro-immune functions, but their role in PANDAS is unclear.
Purpose of the Study:
- To investigate the gut microbiome's role in PANDAS pathophysiology.
- To identify potential microbiome-based biomarkers and therapeutic targets for PANDAS.
Main Methods:
- Collected microbiome samples from nasal, throat, and stool sites of PANDAS patients and controls.
- Performed integrated multi-omics analysis (16S rRNA, shotgun metagenomics, UPLC-MS/MS metabolomics) on stool samples.
- Analyzed gut-brain modules (GBMs) and gut metabolic modules (GMMs).
Main Results:
- PANDAS cases showed reduced gut microbial diversity and altered composition.
- Key functional pathways like quorum sensing and GABA biosynthesis were diminished.
- Perturbed GBMs, GMMs, and disrupted microbe-metabolite networks linked to gut-brain signaling were observed.
- Metabolomic profiling revealed distinct metabolic profiles with altered neuroactive compounds.
Conclusions:
- Significant functional shifts in gut microbiota and metabolites suggest gut-brain axis dysregulation in PANDAS.
- Findings support the development of microbiome-based biomarkers and therapies for PANDAS.
Abstract:
Background: Pediatric Autoimmune Neuropsychiatric Disorders Associated with Streptococcal infections (PANDAS) are characterized by neuropsychiatric symptoms linked to immune dysregulation. Emerging evidence highlights the role of host-microbiome interactions in modulating neuro-immune functions via gut-brain axis signaling; however, its contribution to PANDAS pathophysiology remains poorly understood. Methods: We conducted microbiome analysis from samples collected across multiple sites of PANDAS patients including nasal, throat and stool. We performed an integrated multi-omics analysis of stool samples from pediatric PANDAS cases and healthy controls, including discordant twin pairs. Microbial composition and function were assessed using 16S rRNA gene sequencing, shotgun metagenomics, while untargeted metabolomic profiling was performed using ultra-performance liquid chromatography-mass spectrometry (UPLC-MS/MS). Results: PANDAS cases exhibited reduced alpha diversity and significantly altered beta diversity compared to controls, indicating shifts in gut microbial composition. Shotgun metagenomic analysis revealed differential enrichment of functional pathways, including diminished quorum sensing, altered gamma-aminobutyric acid (GABA) biosynthesis, and microbial degradation processes. Multiple gut-brain modules (GBMs) and gut metabolic modules (GMMs) associated with neurotransmission, transport activities and metabolism were significantly perturbed in PANDAS. Metabolomic profiling showed reduced functional diversity and distinct clustering of metabolic profiles, with differential abundance of amino acids, bile acids, and neuroactive compounds. Integrative analysis further identified disrupted microbe-metabolite networks allied to gut-brain signaling. Conclusions: Our findings reveal significant functional shifts in gut microbiota composition, functional capacity and metabolite profile in PANDAS, suggesting dysregulation of the gut-brain axis signaling. This study provides a foundation for development of microbiome-based biomarkers and therapeutic strategies for pediatric neuropsychiatric disorders.
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