Adrián Hernández-Cacho, Jesús F García-Gavilán, Alessandro Atzeni, Prokopis Konstanti, Clara Belzer, Jesús Vioque, Dolores Corella, Montserrat Fitó, Josep Vidal, Virginia Mela, Liming Liang, Laura Torres-Collado, Oscar Coltell, Nancy Babio, Clary Clish, Javier Hernando-Redondo, Miguel Á Martínez-González, Fenglei Wang, Isabel Moreno-Indias, Jiaqi Ni, Courtney Dennis, Miguel Ruiz-Canela, Francisco J Tinahones, Frank B Hu, Jordi Salas-Salvadó
{"title":"多组学方法确定与抑郁症相关的肠道微生物群变异。","authors":"Adrián Hernández-Cacho, Jesús F García-Gavilán, Alessandro Atzeni, Prokopis Konstanti, Clara Belzer, Jesús Vioque, Dolores Corella, Montserrat Fitó, Josep Vidal, Virginia Mela, Liming Liang, Laura Torres-Collado, Oscar Coltell, Nancy Babio, Clary Clish, Javier Hernando-Redondo, Miguel Á Martínez-González, Fenglei Wang, Isabel Moreno-Indias, Jiaqi Ni, Courtney Dennis, Miguel Ruiz-Canela, Francisco J Tinahones, Frank B Hu, Jordi Salas-Salvadó","doi":"10.1038/s41522-025-00707-9","DOIUrl":null,"url":null,"abstract":"<p><p>The 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.</p>","PeriodicalId":19370,"journal":{"name":"npj Biofilms and Microbiomes","volume":"11 1","pages":"68"},"PeriodicalIF":7.8000,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12038053/pdf/","citationCount":"0","resultStr":"{\"title\":\"Multi-omics approach identifies gut microbiota variations associated with depression.\",\"authors\":\"Adrián Hernández-Cacho, Jesús F García-Gavilán, Alessandro Atzeni, Prokopis Konstanti, Clara Belzer, Jesús Vioque, Dolores Corella, Montserrat Fitó, Josep Vidal, Virginia Mela, Liming Liang, Laura Torres-Collado, Oscar Coltell, Nancy Babio, Clary Clish, Javier Hernando-Redondo, Miguel Á Martínez-González, Fenglei Wang, Isabel Moreno-Indias, Jiaqi Ni, Courtney Dennis, Miguel Ruiz-Canela, Francisco J Tinahones, Frank B Hu, Jordi Salas-Salvadó\",\"doi\":\"10.1038/s41522-025-00707-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The 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.</p>\",\"PeriodicalId\":19370,\"journal\":{\"name\":\"npj Biofilms and Microbiomes\",\"volume\":\"11 1\",\"pages\":\"68\"},\"PeriodicalIF\":7.8000,\"publicationDate\":\"2025-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12038053/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"npj Biofilms and Microbiomes\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1038/s41522-025-00707-9\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"npj Biofilms and Microbiomes","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1038/s41522-025-00707-9","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
Multi-omics approach identifies gut microbiota variations associated with depression.
The 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.
期刊介绍:
npj Biofilms and Microbiomes is a comprehensive platform that promotes research on biofilms and microbiomes across various scientific disciplines. The journal facilitates cross-disciplinary discussions to enhance our understanding of the biology, ecology, and communal functions of biofilms, populations, and communities. It also focuses on applications in the medical, environmental, and engineering domains. The scope of the journal encompasses all aspects of the field, ranging from cell-cell communication and single cell interactions to the microbiomes of humans, animals, plants, and natural and built environments. The journal also welcomes research on the virome, phageome, mycome, and fungome. It publishes both applied science and theoretical work. As an open access and interdisciplinary journal, its primary goal is to publish significant scientific advancements in microbial biofilms and microbiomes. The journal enables discussions that span multiple disciplines and contributes to our understanding of the social behavior of microbial biofilm populations and communities, and their impact on life, human health, and the environment.