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Kovtun, A.

Publications and source records attributed to Kovtun, A..

2 recordsLinked to original sources

Identification and Characterization of Novel Faecalibacterium prausnitzii Strains with Potential Pharmabiotic Applications

Faecalibacterium prausnitzii is a dominant commensal bacterium in the human gut, widely known for its anti-inflammatory and immunomodulatory properties and currently considered a potential pharmabiotic for the treatment of various human diseases. In this study, ten new strains of F. prausnitzii were isolated from stool samples of Russian children and characterized using hybrid genome sequencing and metabolomic analyses. Comparative genomics revealed an open pangenome structure and significant strain-specific variability, reflecting the high adaptive potential of strains in humans and confirming the heterogeneity of this species previously described in the literature. Several isolates (fp1, fp5, fp7, fp9) showed increased butyrate production, while fp1 showed increased formate synthesis. In silico analysis confirmed the presence of genes associated with anti-inflammatory, antioxidant, and neuromodulatory metabolites, as well as the absence of antibiotic resistance genes. These results expand on previously described findings on the genetic diversity of F. prausnitzii and identify promising, safe strains with high pharmabiotics potential for future human therapy.

microbiology↗

Multi-omic analysis along the gut-brain axis points to a functional architecture of autism

Autism is a highly heritable neurodevelopmental disorder characterized by heterogeneous cognitive, behavioral and communication impairments. Disruption of the gut-brain axis (GBA) has been implicated in autism, with dozens of cross-sectional microbiome and other omic studies revealing autism-specific profiles along the GBA albeit with little agreement in composition or magnitude. To explore the functional architecture of autism, we developed an age and sex-matched Bayesian differential ranking algorithm that identified autism-specific profiles across 10 cross-sectional microbiome datasets and 15 other omic datasets, including dietary patterns, metabolomics, cytokine profiles, and human brain expression profiles. The analysis uncovered a highly significant, functional architecture along the GBA that encapsulated the overall heterogeneity of autism phenotypes. This architecture was determined by autism-specific amino acid, carbohydrate and lipid metabolism profiles predominantly encoded by microbial species in the genera Prevotella, Enterococcus, Bifidobacterium, and Desulfovibrio, and was mirrored in brain-associated gene expression profiles and restrictive dietary patterns in individuals with autism. Pro-inflammatory cytokine profiling and virome association analysis further supported the existence of an autism-specific architecture associated with particular microbial genera. Re-analysis of a longitudinal intervention study in autism recapitulated the cross-sectional profiles, and showed a strong association between temporal changes in microbiome composition and autism symptoms. Further elucidation of the functional architecture of autism, including of the role the microbiome plays in it, will require deep, multi-omic longitudinal intervention studies on well-defined stratified cohorts to support causal and mechanistic inference.

microbiology↗