{Reference Type}: Journal Article
{Title}: The MIND diet, brain transcriptomic alterations, and dementia.
{Author}: Li J;Capuano AW;Agarwal P;Arvanitakis Z;Wang Y;De Jager PL;Schneider JA;Tasaki S;de Paiva Lopes K;Hu FB;Bennett DA;Liang L;Grodstein F;
{Journal}: Alzheimers Dement
{Volume}: 0
{Issue}: 0
{Year}: 2024 Aug 11
{Factor}: 16.655
{DOI}: 10.1002/alz.14062
{Abstract}: BACKGROUND: 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.
CONCLUSIONS: A brain transcriptomic profile for healthy diets revealed novel genes potentially associated with cognitive health.
CONCLUSIONS: 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.