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Correction: A multi-stakeholder fuzzy best–worst method analysis of key factors in remanufacturing production processes
Scalable Carbon Dioxide Capture Using Clay-Derived Zeolites via Atomic Rearrangement
A data-driven framework for measuring multimodal transport success in smart cities: the case of Dubai
First bot, singular
Oxides and Carbonates Accelerate Copper Instability in CO <sub>2</sub> Electroreduction
Deciphering novel genotypic biomarkers and functional alterations in double strand break repair pathways for Parkinson’s disease
Mechanistic Insights into Photoredox/Nickel Dual-Catalyzed Difunctionalization of Alkynes: Revealing Roles of Noninnocent P-Ligand and Origins of Selectivities
Spatial, temporal, and spatiotemporal variations of chronic respiratory disease in charcoal-producing areas, northwest Ethiopia
Robust Homochiral Hydrogen-Bonded Biohybrid Nanochannel Membranes for High-Efficiency Enantioseparation of Amino Acids
Optimization of an additively manufactured self-supporting lattice-filled clevis component under combined loading
A Spatially Cued, Sequentially Activated DNA Nanodevice for Atherosclerosis Theranostics via Precise Targeting of Lesional Macrophages
Rethinking therapsid phylogeny through Bayesian and cladistic approaches
Redox-Controlled Chalcogen Bonding as a Modulator of ZnCl <sub>2</sub> Chelation and Transport
The 2024 Mpox surveillance in Senegal uncovers a large circulation of Chickenpox
This supernova is too bright – now astronomers might know why
Safe and Highly Efficient Lipid-Pro-Dexamethasone Nanoparticles for mRNA Delivery and Base Editing
Dietary patterns influence the in silico GABA production capacity of Bifidobacterium adolescentis HD17T2H and other human gut bacteria
Abstract Gamma-aminobutyric acid (GABA) is a neurotransmitter that inhibits neuronal excitability and also affects mucosal function and gut motility. Importantly, while the gut microbiome is a known source of GABA, little is known about the production capacities of its specific members. In our study, we investigated in silico how 11 predefined diets influence GABA production by Bifidobacterium adolescentis HD17T2H, an important GABA producer among bifidobacteria within the human gut microbiota. We show that the GABA production potential of B. adolescentis strain HD17T2H varies considerably across diets, with the vegetarian diet showing the highest potential and the ketogenic diet the lowest. Further, we analysed which specific compounds raised GABA production. Our in silico predictions revealed that carbohydrates and nitrogen-rich compounds, such as amino acids, strongly increase GABA production. We also analysed personalised nutritional data from a human cohort (Kiel cohort), in an in silico approach. In doing so, we found 87 potent GABA-producing strains across 47 bacterial genera, including Burkholderia , Pseudomonas , and Delftia , suggesting that not only commensals but also bacterial pathogens contribute to GABA production. Thus, our modelling approach highlights that nutrient availability is a central determinant of bacterial GABA production.