Evidence map›Paper›PMID 40736692›Full record

ArticleAge and ageing2025

Nut consumption, gut microbiota, and cognitive function: findings from a prospective study in older adults at risk of cognitive decline.

Jiaqi Ni, Stephanie K Nishi, Nancy Babio, Clara Belzer, Prokopis Konstati, Jesús Vioque, Dolores Corella, Olga Castañer, Josep Vidal, Isabel Moreno-Indias and 7 more

Abstract read
In one paragraph

Article in Age and ageing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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.

Jiaqi NiUniversitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Tarragona, Spain.ORCID 0000-0001-5625-0373
Stephanie K NishiUniversitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Tarragona, Spain.
Nancy BabioUniversitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Tarragona, Spain.ORCID 0000-0003-3527-5277
Clara BelzerLaboratory of Microbiology, Wageningen University & Research, Wageningen, Gelderland, the Netherlands.
Prokopis KonstatiLaboratory of Microbiology, Wageningen University & Research, Wageningen, Gelderland, the Netherlands.
Jesús VioqueUniversidad Miguel Hernández, Instituto de Investigación Sanitaria y Biomédica de Alicante, (UMH. ISABIAL), Alicante, Alicante, Spain.
Dolores CorellaCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Madrid, Spain.
Olga CastañerCIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Madrid, Spain.
Josep VidalCIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Madrid, Spain.ORCID 0000-0002-4564-4518
Isabel Moreno-IndiasCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Madrid, Spain.
Laura Torres-ColladoUniversidad Miguel Hernández, Instituto de Investigación Sanitaria y Biomédica de Alicante, (UMH. ISABIAL), Alicante, Alicante, Spain.
Patricia Guillem-SaizCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Madrid, Spain.
Montse FitóCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Madrid, Spain.
Miguel Ruiz-CanelaCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Madrid, Spain.
Adrián Hernández-CachoUniversitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Tarragona, Spain.
Francisco J TinahonesCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Madrid, Spain.
Jordi Salas-SalvadóUniversitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Tarragona, Spain.ORCID 0000-0003-2700-7459

Funding

Lifestyle Interventions, metabolites, microbiome, and diabetes riskR01DK127601 · NIDDK · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI HU, FRANK B, RUIZ-CANELA, MIGUEL · 2021 to 2024
$1.9M
CIHR MFE-171207Consejería de Salud de la Junta de Andalucía PI0137/2018Consejería de Salud de la Junta de Andalucía PI0458/2013Consejería de Salud de la Junta de Andalucía PS0358/2016European Regional Development Fund PI13/00233European Regional Development Fund PI13/00462European Regional Development Fund PI13/00728European Regional Development Fund PI14/00696European Regional Development Fund PI14/01206European Regional Development Fund PI16/00366European Regional Development Fund PI16/00501European Regional Development Fund PI16/00533European Regional Development Fund PI17/00855European Regional Development Fund PI17/01441European Regional Development Fund PI19/00017European Regional Development Fund PI19/00576European Regional Development Fund PI19/00781European Regional Development Fund PI20/00557European Regional Development Fund PI21/0046'Miguel Servet Type II' program CPII21/00013Ministerio de Ciencia, Innovación y Universidades FPU 20/00385NextGenerationEU, Servicio Público de Empleo Estatal and Universitat Rovira i Virgili 2022PMF-INV-01NIH HHS R01DK127601Prevention and Remediation of Insulin Multimorbidity in Europe 847879Recercaixa 2013ACUP00194
6 · The paper itself

Abstract

backgroundThe diet-microbiota-gut-brain axis emerges as a promising target for preventing neurodegenerative disorders. Nuts are nutrient-dense foods with potential neuroprotective and prebiotic properties, yet their relationship with longitudinal cognitive changes and gut microbiota remains unclear.

objectiveTo assess the association of baseline nut consumption with 6-year changes in cognitive function and baseline gut microbiota composition in older adults.

methodsThis prospective study included 747 participants (mean age 65 ± 5 years, 48% women) with overweight/obesity and metabolic syndrome. Baseline nut consumption, assessed via a validated food frequency questionnaire, was categorised as ≤1, 1-3, 3-7, and > 7 servings/week. Cognitive function was evaluated at baseline and at 2, 4, and 6 years, using a comprehensive battery of neuropsychological tests. Gut microbiota composition was profiled through 16S rRNA amplicon sequencing. Multivariable linear mixed-effects and linear regression models were utilized.

resultsParticipants consuming 3-7 servings of nuts/week showed significantly slower declines in global cognitive function over the follow-up period compared to those consuming ≤1 serving/week (4-year: β[95%CI] = 0.170[0.022,0.319], P = .024; 6-year: 0.176[0.020,0.331], P = .027). This nut consumption category was also associated with higher gut microbial diversity (Shannon index: β[95%CI] = 0.211[0.008,0.414], P = .042). Thirteen taxa were associated with nut consumption, 10 positively, including Lachnospiraceae UCG-004, which was further associated with positive changes in global cognitive function (2-year: β[95%CI] = 0.020[0.004,0.036], q = 0.050) and slower decline in attention (6-year: 0.042[0.020,0.064], q = 0.001).

conclusionsModerate nut consumption (3-7 servings/week), was interconnectedly associated with cognitive preservation and favourable gut microbiota composition, underscoring the potential of dietary modulation of the gut-brain axis for healthy ageing.

Indexed as

CognitionCognitive AgingCognitive DysfunctionDietGastrointestinal MicrobiomeNutsAgedFemaleHumansMaleMiddle AgedNeuropsychological TestsProspective StudiesRisk Factorscognitive declinecognitive functiongut microbiotahealthy ageingmicrobiota-gut-brain axisnutsolder people

Identifiers

PMID40736692
PMCPMC12309241

What Socratic holds

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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 Socratic graph.