0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessThe gut microbiota plays a potential role in the pathophysiology of depression through the gut-brain axis. This cross-sectional study in 400 participants from the PREDIMED-Plus study investigates the interplay between gut microbiota and depression using a multi-omics approach. Depression was defined as antidepressant use or high Beck Depression Inventory-II scores. Gut microbiota was characterized by 16S rRNA sequencing, and faecal metabolites were analysed via liquid chromatography-tandem mass spectrometry. Participants with depression exhibited significant differences in gut microbial composition and metabolic profiles. Differentially abundant taxa included Acidaminococcus, Christensenellaceae R-7 group, and Megasphaera, among others. Metabolomic analysis revealed 15 significantly altered metabolites, primarily lipids, organic acids, and benzenoids, some of which correlated with gut microbial features. This study highlights the interplay between the gut microbiota and depression, paving the way for future research to determine whether gut microbiota influences depression pathophysiology or reflects changes associated with depression.
Adrián Hernández-Cacho, Jesús García‐Gavilán, Alessandro Atzeni, Prokopis Konstanti, Clara Belzer, Jesús Vioqué, Dolores Corella, Montserrat Fitó, Josép Vidal, Virginia Mela, Liming Liang, Laura Torres‐Collado, Òscar Coltell, Nancy Babió, Clary B. Clish, Javier Hernando‐Redondo, Miguel Ángel Martínez‐González, Fenglei Wang, Isabel Moreno‐Indias, Jiaqi Ni, Courtney Dennis, Miguel Ruiz-Canela, Francisco J. Tinahones, Frank B Hu, Jordi Salas-Salvadó (2025). Multi-omics approach identifies gut microbiota variations associated with depression. , 11(1), DOI: https://doi.org/10.1038/s41522-025-00707-9.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2025
Authors
25
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1038/s41522-025-00707-9
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access