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Dietary Responses of Dementia-Related Genes Encoding Metabolic Enzymes

The age-related loss of the cognitive function is a growing concern for global populations. Many factors that determine cognitive resilience or dementia also have metabolic functions. However, this duality is not universally appreciated when the action of that factor occurs in tissues external to th...

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Autores principales: Parnell, Laurence D, Magadmi, Rozana, Zwanger, Sloane, Shukitt-Hale, Barbara, Lai, Chao-Qiang, Ordovás, José M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921944/
https://www.ncbi.nlm.nih.gov/pubmed/36771351
http://dx.doi.org/10.3390/nu15030644
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author Parnell, Laurence D
Magadmi, Rozana
Zwanger, Sloane
Shukitt-Hale, Barbara
Lai, Chao-Qiang
Ordovás, José M
author_facet Parnell, Laurence D
Magadmi, Rozana
Zwanger, Sloane
Shukitt-Hale, Barbara
Lai, Chao-Qiang
Ordovás, José M
author_sort Parnell, Laurence D
collection PubMed
description The age-related loss of the cognitive function is a growing concern for global populations. Many factors that determine cognitive resilience or dementia also have metabolic functions. However, this duality is not universally appreciated when the action of that factor occurs in tissues external to the brain. Thus, we examined a set of genes involved in dementia, i.e., those related to vascular dementia, Alzheimer’s disease, Parkinson’s disease, and the human metabolism for activity in 12 metabolically active tissues. Mining the Genotype-Tissue Expression (GTEx) data showed that most of these metabolism–dementia (MD) genes (62 of 93, 67%) exhibit a higher median expression in any of the metabolically active tissues than in the brain. After identifying that several MD genes served as blood-based biomarkers of longevity in other studies, we examined the impact of the intake of food, nutrients, and other dietary factors on the expression of MD genes in whole blood in the Framingham Offspring Study (n = 2134). We observed positive correlations between flavonoids and HMOX1, taurine and UQCRC1, broccoli and SLC10A2, and myricetin and SLC9A8 (p < 2.09 × 10(−4)). In contrast, dairy protein, palmitic acid, and pie were negatively correlated, respectively, with the expression of IGF1R, CSF1R, and SLC9A8, among others (p < 2.92 × 10(−4)). The results of this investigation underscore the potential contributions of metabolic enzyme activity in non-brain tissues to the risk of dementia. Specific epidemiological or intervention studies could be designed using specific foods and nutrients or even dietary patterns focused on these foods and nutrients that influence the expression of some MD genes to verify the findings presented here.
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spelling pubmed-99219442023-02-12 Dietary Responses of Dementia-Related Genes Encoding Metabolic Enzymes Parnell, Laurence D Magadmi, Rozana Zwanger, Sloane Shukitt-Hale, Barbara Lai, Chao-Qiang Ordovás, José M Nutrients Article The age-related loss of the cognitive function is a growing concern for global populations. Many factors that determine cognitive resilience or dementia also have metabolic functions. However, this duality is not universally appreciated when the action of that factor occurs in tissues external to the brain. Thus, we examined a set of genes involved in dementia, i.e., those related to vascular dementia, Alzheimer’s disease, Parkinson’s disease, and the human metabolism for activity in 12 metabolically active tissues. Mining the Genotype-Tissue Expression (GTEx) data showed that most of these metabolism–dementia (MD) genes (62 of 93, 67%) exhibit a higher median expression in any of the metabolically active tissues than in the brain. After identifying that several MD genes served as blood-based biomarkers of longevity in other studies, we examined the impact of the intake of food, nutrients, and other dietary factors on the expression of MD genes in whole blood in the Framingham Offspring Study (n = 2134). We observed positive correlations between flavonoids and HMOX1, taurine and UQCRC1, broccoli and SLC10A2, and myricetin and SLC9A8 (p < 2.09 × 10(−4)). In contrast, dairy protein, palmitic acid, and pie were negatively correlated, respectively, with the expression of IGF1R, CSF1R, and SLC9A8, among others (p < 2.92 × 10(−4)). The results of this investigation underscore the potential contributions of metabolic enzyme activity in non-brain tissues to the risk of dementia. Specific epidemiological or intervention studies could be designed using specific foods and nutrients or even dietary patterns focused on these foods and nutrients that influence the expression of some MD genes to verify the findings presented here. MDPI 2023-01-27 /pmc/articles/PMC9921944/ /pubmed/36771351 http://dx.doi.org/10.3390/nu15030644 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Parnell, Laurence D
Magadmi, Rozana
Zwanger, Sloane
Shukitt-Hale, Barbara
Lai, Chao-Qiang
Ordovás, José M
Dietary Responses of Dementia-Related Genes Encoding Metabolic Enzymes
title Dietary Responses of Dementia-Related Genes Encoding Metabolic Enzymes
title_full Dietary Responses of Dementia-Related Genes Encoding Metabolic Enzymes
title_fullStr Dietary Responses of Dementia-Related Genes Encoding Metabolic Enzymes
title_full_unstemmed Dietary Responses of Dementia-Related Genes Encoding Metabolic Enzymes
title_short Dietary Responses of Dementia-Related Genes Encoding Metabolic Enzymes
title_sort dietary responses of dementia-related genes encoding metabolic enzymes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921944/
https://www.ncbi.nlm.nih.gov/pubmed/36771351
http://dx.doi.org/10.3390/nu15030644
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