| Literature DB >> 35508109 |
Jordi Mayneris-Perxachs1, Anna Castells-Nobau2, María Arnoriaga-Rodríguez3, Miquel Martin4, Lisset de la Vega-Correa2, Cristina Zapata2, Aurelijus Burokas5, Gerard Blasco6, Clàudia Coll7, Anira Escrichs8, Carles Biarnés9, José María Moreno-Navarrete3, Josep Puig10, Josep Garre-Olmo11, Rafel Ramos12, Salvador Pedraza13, Ramón Brugada14, Joan Carles Vilanova15, Joaquín Serena16, Jordi Gich17, Lluís Ramió-Torrentà18, Vicente Pérez-Brocal19, Andrés Moya20, Reinald Pamplona21, Joaquim Sol22, Mariona Jové21, Wifredo Ricart3, Manuel Portero-Otin21, Gustavo Deco23, Rafael Maldonado24, José Manuel Fernández-Real25.
Abstract
The microbiota-gut-brain axis has emerged as a novel target in depression, a disorder with low treatment efficacy. However, the field is dominated by underpowered studies focusing on major depression not addressing microbiome functionality, compositional nature, or confounding factors. We applied a multi-omics approach combining pre-clinical models with three human cohorts including patients with mild depression. Microbial functions and metabolites converging onto glutamate/GABA metabolism, particularly proline, were linked to depression. High proline consumption was the dietary factor with the strongest impact on depression. Whole-brain dynamics revealed rich club network disruptions associated with depression and circulating proline. Proline supplementation in mice exacerbated depression along with microbial translocation. Human microbiota transplantation induced an emotionally impaired phenotype in mice and alterations in GABA-, proline-, and extracellular matrix-related prefrontal cortex genes. RNAi-mediated knockdown of proline and GABA transporters in Drosophila and mono-association with L. plantarum, a high GABA producer, conferred protection against depression-like states. Targeting the microbiome and dietary proline may open new windows for efficient depression treatment.Entities:
Keywords: amino acids; brain; cognition; depression; diet; gut microbiota; proline
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Year: 2022 PMID: 35508109 DOI: 10.1016/j.cmet.2022.04.001
Source DB: PubMed Journal: Cell Metab ISSN: 1550-4131 Impact factor: 31.373