Evidence map›Paper›PMID 41578342›Full record

ArticleMicrobiome2026

Total and different types of olive oil consumption, gut microbiota, and cognitive function changes in older adults.

Jiaqi Ni, Stephanie K Nishi, Nancy Babio, Clara Belzer, Jesús Vioque, Dolores Corella, Javier Hernando-Redondo, Josep Vidal, Isabel Moreno-Indias, Laura Compañ-Gabucio and 6 more

Abstract read
In one paragraph

Article in Microbiome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

16 authors.

Jiaqi NiUniversitat Rovira I Virgili, Departament de Bioquímica I Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain.
Stephanie K NishiUniversitat Rovira I Virgili, Departament de Bioquímica I Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain.
Nancy BabioUniversitat Rovira I Virgili, Departament de Bioquímica I Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain.
Clara BelzerLaboratory of Microbiology, Wageningen University & Research, Wageningen, the Netherlands.
Jesús VioqueCIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
Dolores CorellaCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Javier Hernando-RedondoCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Josep VidalCIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Isabel Moreno-IndiasCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Laura Compañ-GabucioCIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
Oscar ColtellCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Montse FitóCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Estefanía ToledoCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Dong D WangChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Francisco J TinahonesCentro de Investigación Biomédica en Red Fisiopatología de La Obesidad y La Nutrición (CIBEROBN), 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. jordi.salas@urv.cat.

Funding

Towards Precision Nutrition for Alzheimer's Dementia Prevention: A Prospective Study of Dietary Patterns, the Gut Microbiome and Cognitive FunctionR01AG077489 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI Dong Wang · 2022 to 2026
$4.4M
The Gut Microbiome and Personalized Mediterranean Diet Interventions for Cardiometabolic Disease PreventionR01NR019992 · NINR · BRIGHAM AND WOMEN'S HOSPITAL · PI WANG, DONG · 2021 to 2025
$3.8M
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
Mediterranean Diet, Polyphenol-Rich Foods, Gut Microbiota and Type 2 DiabetesR00DK119412 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI WANG, DONG · 2020 to 2022
$747k
Mediterranean Diet, Polyphenol-Rich Foods, Gut Microbiota and Type 2 DiabetesK99DK119412 · NIDDK · HARVARD SCHOOL OF PUBLIC HEALTH · PI WANG, DONG · 2018 to 2019
$181k
CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN) and Instituto de Salud Carlos III (ISCIII) PI13/00233, PI13/00728, PI13/00462, PI14/01206, PI14/ 00696, PI16/00533, PI16/00366, PI16/00501, PI17/01441, PI17/00855, PI19/00017, PI19/00781, PI19/00576, PI20/ 00557, PI21/0046CIHR CIHR, MFE-171207Eat2beNICE and EU- H2020 European grant Eat2beNICE/H2020-SFS-2016-2 EU- H2020 European grantMinisterio de Ciencia, Innovación y Universidades FPU 20/00385NIA NIH HHS R01 AG077489NIDDK NIH HHS K99 DK119412NIDDK NIH HHS R00 DK119412NIH HHS R01DK127601NINR NIH HHS R01 NR019992PRIME study (Prevention and Remediation of Insulin Multimorbidity in Europe #847879the Consejería de Salud de la Junta de Andalucía PI0458/2013, PS0358/2016, PI0137/2018the Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital from the Generalitat Valenciana PROMETEO/ 2017/017 and PROMETEO/2021/21 grantsthe Recercaixa 2013ACUP00194
6 · The paper itself

Abstract

backgroundOver the past decade, emerging evidence has shed light on the role of the gut microbiota in the interface between diet and brain health. Olive oil, particularly virgin olive oil, a key component and major fat source in the Mediterranean diet, has exhibited widespread healthful benefits, including improvements in gut microbiota and cognitive health. Despite insights from preclinical studies into the relationship between virgin olive oil consumption, gut microbiota, and cognitive function, human research in this area remains limited. Therefore, our study aims to investigate the interplay between total olive oil consumption and its subtypes, gut microbiota, and changes in cognitive function in older adults who were cognitively healthy at baseline but at high risk of cognitive decline.

methodsIn this prospective cohort study, we assessed a total of 656 participants aged 55 to 75y (mean age 65.0 ± 4.9y, 47.9% women) with overweight/obesity and metabolic syndrome who provided stool samples and completed a validated semi-quantitative food frequency questionnaire at baseline and a comprehensive battery of neuropsychological tests at baseline and at a 2-y follow-up.

resultsResults from the multivariable linear regression models showed that higher consumption of virgin olive oil was associated with improved cognitive function over a 2-y follow-up, and a more diverse gut microbiota overall structure at baseline. Conversely, increased consumption of common olive oil is linked to lower alpha diversity of the microbial communities, and accelerated cognitive decline. Mediation analysis suggests that gut microbiota and particularly the Adlercreutzia, may serve as a mediator taxon in the association between virgin olive oil consumption and positive changes in general cognitive function.

conclusionsHigher consumption of virgin olive oil was associated with cognitive preservation, possibly mediated by favorable alterations in gut microbiota composition. Our study provides novel insights into the complex interplay between different types of olive oil consumption, gut microbiota, and changes in cognitive function. These findings underscore the potential of microbiota-targeted dietary strategies to promote cognitive health in aging populations, though further high-quality and clinical cohort studies are required. Video Abstract.

Indexed as

CognitionGastrointestinal MicrobiomeOlive OilAgedDiet, MediterraneanFecesFemaleHumansMaleMetabolic SyndromeMiddle AgedObesityProspective StudiesOlive OilCognitive functionCommon olive oilGut-brain axisGut microbiotaMediationVirgin olive oil

Identifiers

PMID41578342
PMCPMC12910899

What Socratic holds

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LicenceCC BY-NC-ND
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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.