Evidence map›Paper›PMID 41615149›Full record

ArticlemSystems2026

Gut microbiome signatures associated with depression and obesity.

Carlos Mora-Martínez, Gara Molina-Mendoza, María Carmen Cenit, Eva M Medina-Rodríguez, Ana Larroya-García, Yolanda Sanchez-Carro, Leticia Gonzalez-Blanco, Julio Bobes, Pilar Lopez-Garcia, Mercedes Zandio-Zorrilla and 6 more

Abstract read
In one paragraph

Article in mSystems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Carlos Mora-Martínez *Microbiome Innovation in Nutrition and Health Unit, Institute of Agrochemistry and Food Technology, National Research Council (IATA-CSIC), Valencia, Spain.ORCID 0000-0002-0542-2654
Gara Molina-Mendoza *Microbiome Innovation in Nutrition and Health Unit, Institute of Agrochemistry and Food Technology, National Research Council (IATA-CSIC), Valencia, Spain.
María Carmen CenitMicrobiome Innovation in Nutrition and Health Unit, Institute of Agrochemistry and Food Technology, National Research Council (IATA-CSIC), Valencia, Spain.
Eva M Medina-RodríguezMicrobiome Innovation in Nutrition and Health Unit, Institute of Agrochemistry and Food Technology, National Research Council (IATA-CSIC), Valencia, Spain.ORCID 0000-0002-4893-1547
Ana Larroya-GarcíaMicrobiome Innovation in Nutrition and Health Unit, Institute of Agrochemistry and Food Technology, National Research Council (IATA-CSIC), Valencia, Spain.
Yolanda Sanchez-CarroDepartment of Psychology, Universidad Europea de Canarias, Canarias, Spain.
Leticia Gonzalez-BlancoDepartment of Psychiatry, University of Oviedo, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Oviedo, Spain.
Julio BobesDepartment of Psychiatry, University of Oviedo, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Oviedo, Spain.
Pilar Lopez-GarciaCenter for Biomedical Research in Mental Health (CIBERSAM), Carlos III Health Institute, Madrid, Spain.
Mercedes Zandio-ZorrillaNavarra Institute for Health Research (IdiSNA), Pamplona, Spain.
Francisca Lahortiga-RamosNavarra Institute for Health Research (IdiSNA), Pamplona, Spain.
Margalida GiliHealth Research Institute of the Balearic Islands (IdISBa), Palma, Spain.
Mauro Garcia-ToroHealth Research Institute of the Balearic Islands (IdISBa), Palma, Spain.
Bernardino BarceloHealth Research Institute of the Balearic Islands (IdISBa), Palma, Spain.
Olga IbarraHealth Research Institute of the Balearic Islands (IdISBa), Palma, Spain.
Yolanda SanzMicrobiome Innovation in Nutrition and Health Unit, Institute of Agrochemistry and Food Technology, National Research Council (IATA-CSIC), Valencia, Spain.ORCID 0000-0002-1615-1976

Funding

Horizon 2020 Framework Programme EarlyCause 848158Instituto de Salud Carlos III Miguel Servet CP22/00031Ministerio de Ciencia e Innovación Centro de Excelencia Severo Ochoa CEX2021-001189-S/MCIN/AEI/10.13039/501100011033Ministerio de Ciencia e Innovación FPI PRE2018-083895
6 · The paper itself

Abstract

Depression and obesity are highly comorbid and likely involve common risk factors and pathophysiological mechanisms, which could crosslink to gut microbiome dysfunction. Here, we performed a case-control study with a total of 105 subjects, 43 with major depressive disorder (MDD) and 62 non-depressed controls free from psychiatric comorbidities, to identify gut microbiome signatures associated with MDD and dissect its relation to body mass index (BMI) and lifestyle (diet and exercise). We performed shotgun metagenomics, followed by taxonomic and functional annotations. Using different machine learning methods, we were able to classify subjects into depressed and non-depressed controls with a balanced accuracy of 0.90 and into depressed or non-depressed and normal weight or overweight with a balanced accuracy of 0.78 based solely on taxonomic profiles. We identify novel bacterial taxa associated with depression, including reductions in IMPORTANCE: This study identifies gut microbiome signatures that are predictive of major depressive disorder (MDD) and explores their links to body mass index (BMI). We uncover bacterial species and metabolic pathways that are associated with MDD, some of them related to neurotransmitter metabolism and inflammation. Among the differences identified, depletion of

Indexed as

Gastrointestinal MicrobiomeMajor Depressive DisorderObesityAdultBacteriaBody Mass IndexCase-Control StudiesFemaleHumansMaleMetagenomeMetagenomicsMiddle Agedbody mass indexdepressionFaecalibacterium prausnitziimachine learningmajor depressive disordermetagenomicsoverweight

Identifiers

PMID41615149
PMCPMC13011431

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.