Multi-omics approach identifies gut microbiota variations associated with depression DOI Creative Commons
Adrián Hernández-Cacho, Jesús García‐Gavilán, Alessandro Atzeni

et al.

npj Biofilms and Microbiomes, Journal Year: 2025, Volume and Issue: 11(1)

Published: April 28, 2025

The gut microbiota plays a potential role in the pathophysiology of depression through gut-brain axis. This cross-sectional study 400 participants from PREDIMED-Plus investigates interplay between and using multi-omics approach. Depression was defined as antidepressant use or high Beck Inventory-II scores. Gut characterized by 16S rRNA sequencing, faecal metabolites were analysed via liquid chromatography-tandem mass spectrometry. Participants with exhibited significant differences microbial composition metabolic profiles. Differentially abundant taxa included Acidaminococcus, Christensenellaceae R-7 group, Megasphaera, among others. Metabolomic analysis revealed 15 significantly altered metabolites, primarily lipids, organic acids, benzenoids, some which correlated features. highlights depression, paving way for future research to determine whether influences reflects changes associated depression.

Language: Английский

Multi-omics approach identifies gut microbiota variations associated with depression DOI Creative Commons
Adrián Hernández-Cacho, Jesús García‐Gavilán, Alessandro Atzeni

et al.

npj Biofilms and Microbiomes, Journal Year: 2025, Volume and Issue: 11(1)

Published: April 28, 2025

The gut microbiota plays a potential role in the pathophysiology of depression through gut-brain axis. This cross-sectional study 400 participants from PREDIMED-Plus investigates interplay between and using multi-omics approach. Depression was defined as antidepressant use or high Beck Inventory-II scores. Gut characterized by 16S rRNA sequencing, faecal metabolites were analysed via liquid chromatography-tandem mass spectrometry. Participants with exhibited significant differences microbial composition metabolic profiles. Differentially abundant taxa included Acidaminococcus, Christensenellaceae R-7 group, Megasphaera, among others. Metabolomic analysis revealed 15 significantly altered metabolites, primarily lipids, organic acids, benzenoids, some which correlated features. highlights depression, paving way for future research to determine whether influences reflects changes associated depression.

Language: Английский

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