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Record W4412785752 · doi:10.1093/ageing/afaf208

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

2025· article· en· W4412785752 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAge and Ageing · 2025
Typearticle
Languageen
FieldNursing
TopicNuts composition and effects
Canadian institutionsToronto Metropolitan UniversityUniversity of TorontoSt. Michael's Hospital
FundersWageningen University and ResearchNational Institutes of HealthEuropean Regional Development FundCentro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y NutriciónInstituto de Salud Carlos IIICanadian Institutes of Health ResearchCentro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas AsociadasMinisterio de Ciencia, Innovación y UniversidadesAlmond Board of California
KeywordsLachnospiraceaeMedicineGut floraCognitive declineCognitionProspective cohort studyOverweightFood groupConfoundingObesityInternal medicineGerontologyEnvironmental healthDementiaDiseaseBiologyImmunologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: The 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. OBJECTIVE: To assess the association of baseline nut consumption with 6-year changes in cognitive function and baseline gut microbiota composition in older adults. METHODS: This 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. RESULTS: Participants 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). CONCLUSIONS: Moderate 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.606

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.256
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it