Evidence map›Paper›PMID 41574026›Full record

ArticleMedComm2026

The Gut Microbiota as a Mediator in the Relationship Between Dietary Patterns and Depression.

Adrián Hernández-Cacho, Jiaqi Ni, Jesús F García-Gavilán, Prokopis Konstanti, Clara Belzer, Jesús Vioque, Dolores Corella, Montserrat Fitó, Josep Vidal, Laura Torres-Collado and 7 more

Abstract read
In one paragraph

Article in MedComm, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
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

17 authors.

Adrián Hernández-CachoUniversitat Rovira i Virgili Departament De Bioquímica i Biotecnologia Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM Reus Spain.ORCID https://orcid.org/0000-0002-5250-1048
Jiaqi NiUniversitat Rovira i Virgili Departament De Bioquímica i Biotecnologia Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM Reus Spain.
Jesús F García-GavilánUniversitat Rovira i Virgili Departament De Bioquímica i Biotecnologia Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM Reus Spain.
Prokopis KonstantiLaboratory of Microbiology Wageningen University Wageningen the Netherlands.
Clara BelzerLaboratory of Microbiology Wageningen University Wageningen the Netherlands.
Jesús VioqueCIBER De Epidemiología y Salud Pública (CIBERESP) Instituto De Salud Carlos III Madrid Spain.
Dolores CorellaCIBER de Fisiopatología de la Obesidad y Nutrición Instituto de Salud Carlos III Madrid Spain.
Montserrat FitóCIBER de Fisiopatología de la Obesidad y Nutrición Instituto de Salud Carlos III Madrid Spain.
Josep VidalCIBER Diabetes y Enfermedades Metabólicas (CIBERDEM) Instituto De Salud Carlos III (ISCIII) Madrid Spain.
Laura Torres-ColladoCIBER De Epidemiología y Salud Pública (CIBERESP) Instituto De Salud Carlos III Madrid Spain.
Oscar ColtellCIBER de Fisiopatología de la Obesidad y Nutrición Instituto de Salud Carlos III Madrid Spain.
Nancy BabioUniversitat Rovira i Virgili Departament De Bioquímica i Biotecnologia Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM Reus Spain.
Javier Hernando-RedondoCIBER de Fisiopatología de la Obesidad y Nutrición Instituto de Salud Carlos III Madrid Spain.
Isabel Moreno-IndiasCIBER de Fisiopatología de la Obesidad y Nutrición Instituto de Salud Carlos III Madrid Spain.
Miguel Ruiz-CanelaCIBER de Fisiopatología de la Obesidad y Nutrición Instituto de Salud Carlos III Madrid Spain.
Francisco J TinahonesCIBER de Fisiopatología de la Obesidad y Nutrición Instituto de Salud Carlos III Madrid Spain.
Jordi Salas-SalvadóUniversitat Rovira i Virgili Departament De Bioquímica i Biotecnologia Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM Reus Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interplay between diet, gut microbiota, and depressive symptoms is increasingly recognized, but underlying mechanisms remain unclear. We investigated whether adherence to several dietary patterns relates to gut microbial signatures and whether these profiles are associated with depressive symptoms in an elderly Mediterranean cohort. In 644 participants, 16S ribosomal RNA gene sequencing and dietary intake from a food-frequency questionnaire were obtained at baseline and 1-year follow-up. Adherence scores were computed for the Mediterranean diet adherence score (MEDAS), energy-reduced MEDAS (erMEDAS), Dietary Approaches to Stop Hypertension (DASH), Healthy Plant-Based Diet Index (HPDI), Unhealthy Plant-Based Diet Index (UPDI), and Western Diet Score (WESTDIET). Healthy patterns (erMEDAS, MEDAS, DASH, HPDI) were associated with 22, 28, 24, and 16 genera, of which 82%, 75%, 79%, and 88% showed a protective profile (more abundant with lower, or less abundant with higher, depressive symptoms). UPDI and WESTDIET were associated with 20 and 27 genera, but only 25% and 26% were protective. Mediation analyses indicated that gut microbiota mediated the associations of MEDAS (ACME = -0.066,

Indexed as

16S rRNA sequencingdepressiondietary patternsgut–brain axisgut microbiotaMediterranean dietmental healthmicrobiome mediation

Identifiers

PMID41574026
PMCPMC12820420

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Registered trials

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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.