Age-specific alterations in gut microbiota-plasma metabolome networks in first-episode, drug-naïve major depressive disorder: adolescent versus adult patients

Background Major depressive disorder (MDD) exhibits pronounced age-related pathophysiological heterogeneity, yet the distinct signatures of the microbiota-gut-brain (MGB) axis between adolescent and adult patients remain inadequately characterized. This study aimed to elucidate age-specific MGB axis dysregulation by integrating gut microbiota profiling, plasma metabolomics, and their interactive networks in first-episode, drug-naïve MDD patients across these two developmental stages. Methods We enrolled 62 first-episode, drug-naïve MDD patients (28 adolescents, 34 adults) alongside 43 age- and sex-matched healthy controls (22 adolescents, 21 adults). Fecal samples underwent 16S rRNA gene sequencing, while plasma was analyzed via untargeted metabolomics. Comprehensive bioinformatics and network analyses were applied to map microbial compositional shifts, metabolic perturbations, and microbe-metabolite crosstalks. Results Integrated multi-omics analysis revealed distinct age-specific gut microbiota and plasma metabolome signatures in TMDD and AMDD compared with their age-matched controls. ① Microbiota: Beyond shared depletion of Firmicutes and butyrate-producing genera (Anaerobutyricum, Blautia), TMDD exhibited more extensive remodeling. Characterized by increased (Chao1 index, p   Conclusion Our findings suggest that first-episode, drug-naïve MDD patients display distinct age-specific dysregulation of the microbiota-gut-plasma metabolome axis. The non-overlapping pathological signatures, a “development-nutrition-metabolic” disturbance pattern in adolescents versus an “energy metabolism-oxidative stress” pattern in adults, underscore the pronounced pathophysiological heterogeneity of MDD across the lifespan. These preliminary observations indicate that future diagnostic biomarkers and therapeutic interventions, particularly microbiota-targeted strategies, should be precisely tailored to the biological profiles of different age groups. However, given the exploratory nature of this subtyping, larger independent cohort studies are warranted to validate these findings before clinical translation.