This observational pilot study investigates whether a broad panel of genetic variants relevant to the serotonin pathway (including serotonergic system, methylation cycle, intestinal barrier integrity, and inflammatory response genes) are associated with distinct gut microbiome compositional and functional signatures in adults aged 18-44 years with self-reported mental health conditions (Major Depressive Disorder, Generalized Anxiety Disorder, PTSD, or Panic Disorder). This is a decentralized, participant-funded (Citizen Science) study. Eligible participants provide at-home saliva (buccal swab) and stool samples. Genomic analysis is performed using the NeuroBiologix GenePro+ SNP Panel (Illumina Infinium Global Screening Array-24, \~654,000 SNPs) via Gene By Gene, a CLIA/CAP-accredited laboratory. Gut microbiome analysis is performed by Tiny Health using deep whole-genome shotgun metagenomics (≥20 million reads) on a NextGen Illumina Platform. The study is non-interventional and hypothesis-generating, aiming to identify potential genotype-microbiome associations and estimate effect sizes to inform a future interventional trial. N=30 participants. Study Start: July 2026.
Background: The gut-brain-microbiota axis (GBA) represents a complex, bidirectional communication system. Microbial tryptophan metabolism is a key mechanism within this axis - approximately 95% of the body's serotonin is synthesized peripherally in the gut. Host genetic variants can influence both serotonin biology and gut microbiome composition. Objective: To explore correlations between multi-system genetic variants (TPH2, SLC6A4, MTHFR, FUT2, MUC1, IL-6, and others) and gut microbiome compositional and functional profiles (particularly tryptophan metabolism pathways) in adults with self-reported mental health conditions. Design: Decentralized observational pilot study. Participants complete digital questionnaires and provide at-home biospecimen collections (saliva and stool) using prepaid medical-grade kits. Genomic Methodology: Saliva samples undergo DNA extraction and array-based genotyping (Illumina GSA-24 v3.0) at Gene By Gene (CLIA No. 45D1102202, CAP-accredited). Data processed via OmicsEdge bioinformatics platform. Metagenomic Methodology: Stool samples analyzed by Tiny Health using whole-genome shotgun metagenomics. Human reads are depleted against GRCh38. Taxonomic profiling via GTDB/GenBank database (111,000+ genomes). Functional annotation via KEGG Orthology and CAZy. Statistical Analysis: Descriptive statistics; alpha diversity (Shannon index); beta diversity (Bray-Curtis dissimilarity); PERMANOVA; exploratory non-parametric comparisons between genotype-defined groups. Effect sizes calculated for future study design. IRB: Approved by Sterling Institutional Review Board (Atlanta, GA), IRB ID 16153.
Study Type
OBSERVATIONAL
Enrollment
30
Genomic analysis using NeuroBiologix GenePro+ SNP Panel: Illumina Infinium Global Screening Array-24 v3.0 (\~654,000 SNPs), genotyped at Gene By Gene (CLIA No. 45D1102202, CAP-accredited). Data processed via OmicsEdge bioinformatics platform analyzing serotonergic, methylation, intestinal barrier, and inflammatory pathway variants. Gut microbiome analysis using Tiny Health deep whole-genome shotgun metagenomics (NextGen Illumina Platform, ≥20 million reads), with taxonomic profiling (GTDB/GenBank) and functional annotation (KEGG Orthology, CAZy).
Gut Microbiome Compositional and Functional Profile
Shotgun metagenomic sequencing of stool samples to assess gut microbial taxonomic composition (alpha and beta diversity) and functional potential, specifically tryptophan metabolism pathways (KEGG Orthology), and their association with host genetic variants in the serotonin pathway.
Time frame: At study completion (approximately 8-12 weeks after enrollment)
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