» Articles » PMID: 39129336

The MIND Diet, Brain Transcriptomic Alterations, and Dementia

Abstract

Introduction: Dietary patterns are associated with dementia risk, but the underlying molecular mechanisms are largely unknown.

Methods: We used RNA sequencing data from post mortem prefrontal cortex tissue and annual cognitive evaluations from 1204 participants in the Religious Orders Study and Memory and Aging Project. We identified a transcriptomic profile correlated with the MIND diet (Mediterranean-Dietary Approaches to Stop Hypertension Intervention for Neurodegenerative Delay) among 482 individuals who completed ante mortem food frequency questionnaires; and examined its associations with cognitive health in the remaining 722 participants.

Results: We identified a transcriptomic profile, consisting of 50 genes, correlated with the MIND diet score (p = 0.001). Each standard deviation increase in the transcriptomic profile score was associated with a slower annual rate of decline in global cognition (β = 0.011, p = 0.003) and lower odds of dementia (odds ratio = 0.76, p = 0.0002). Expressions of several genes (including TCIM and IGSF5) appeared to mediate the association between MIND diet and dementia.

Discussion: A brain transcriptomic profile for healthy diets revealed novel genes potentially associated with cognitive health.

Highlights: Why healthy dietary patterns are associated with lower dementia risk are unknown. We integrated dietary, brain transcriptomic, and cognitive data in older adults. Mediterranean-Dietary Approaches to Stop Hypertension Intervention for Neurodegenerative Delay (MIND) diet intake is correlated with a specific brain transcriptomic profile. This brain transcriptomic profile score is associated with better cognitive health. More data are needed to elucidate the causality and functionality of identified genes.

Citing Articles

Association of late-life variability in hemoglobin A1C with postmortem neuropathologies.

Biswas R, Capuano A, Mehta R, Bennett D, Arvanitakis Z Alzheimers Dement. 2025; 21(2):e14471.

PMID: 39968681 PMC: 11863718. DOI: 10.1002/alz.14471.


The ROSMAP project: aging and neurodegenerative diseases through omic sciences.

Perez-Gonzalez A, Garcia-Kroepfly A, Perez-Fuentes K, Garcia-Reyes R, Solis-Roldan F, Alba-Gonzalez J Front Neuroinform. 2024; 18:1443865.

PMID: 39351424 PMC: 11439699. DOI: 10.3389/fninf.2024.1443865.


The MIND diet, brain transcriptomic alterations, and dementia.

Li J, Capuano A, Agarwal P, Arvanitakis Z, Wang Y, De Jager P Alzheimers Dement. 2024; 20(9):5996-6007.

PMID: 39129336 PMC: 11497672. DOI: 10.1002/alz.14062.

References
1.
Burgess S, Butterworth A, Thompson S . Mendelian randomization analysis with multiple genetic variants using summarized data. Genet Epidemiol. 2013; 37(7):658-65. PMC: 4377079. DOI: 10.1002/gepi.21758. View

2.
Gaujoux R, Seoighe C . CellMix: a comprehensive toolbox for gene expression deconvolution. Bioinformatics. 2013; 29(17):2211-2. DOI: 10.1093/bioinformatics/btt351. View

3.
Johnson E, Carter E, Dammer E, Duong D, Gerasimov E, Liu Y . Large-scale deep multi-layer analysis of Alzheimer's disease brain reveals strong proteomic disease-related changes not observed at the RNA level. Nat Neurosci. 2022; 25(2):213-225. PMC: 8825285. DOI: 10.1038/s41593-021-00999-y. View

4.
Patrick E, Taga M, Ergun A, Ng B, Casazza W, Cimpean M . Deconvolving the contributions of cell-type heterogeneity on cortical gene expression. PLoS Comput Biol. 2020; 16(8):e1008120. PMC: 7451979. DOI: 10.1371/journal.pcbi.1008120. View

5.
Schneider J, Arvanitakis Z, Bang W, Bennett D . Mixed brain pathologies account for most dementia cases in community-dwelling older persons. Neurology. 2007; 69(24):2197-204. DOI: 10.1212/01.wnl.0000271090.28148.24. View