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Cognitive Decline Related to Diet Pattern and Nutritional Adequacy in Alzheimer’s Disease Using Surface-Based Morphometry

Dietary pattern (DP) results in nutrition adequacy and may influence cognitive decline and cortical atrophy in Alzheimer’s disease (AD). The study explored DP in 248 patients with AD. Two neurobehavioral assessments (intervals 13.4 months) and two cortical thickness measurements derived from magneti...

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Autores principales: Hsiao, Hua-Tsen, Ma, Mi-Chia, Chang, Hsin-I, Lin, Ching-Heng, Hsu, Shih-Wei, Huang, Shu-Hua, Lee, Chen-Chang, Huang, Chi-Wei, Chang, Chiung-Chih
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9784891/
https://www.ncbi.nlm.nih.gov/pubmed/36558459
http://dx.doi.org/10.3390/nu14245300
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author Hsiao, Hua-Tsen
Ma, Mi-Chia
Chang, Hsin-I
Lin, Ching-Heng
Hsu, Shih-Wei
Huang, Shu-Hua
Lee, Chen-Chang
Huang, Chi-Wei
Chang, Chiung-Chih
author_facet Hsiao, Hua-Tsen
Ma, Mi-Chia
Chang, Hsin-I
Lin, Ching-Heng
Hsu, Shih-Wei
Huang, Shu-Hua
Lee, Chen-Chang
Huang, Chi-Wei
Chang, Chiung-Chih
author_sort Hsiao, Hua-Tsen
collection PubMed
description Dietary pattern (DP) results in nutrition adequacy and may influence cognitive decline and cortical atrophy in Alzheimer’s disease (AD). The study explored DP in 248 patients with AD. Two neurobehavioral assessments (intervals 13.4 months) and two cortical thickness measurements derived from magnetic resonance images (intervals 26.5 months) were collected as outcome measures. Reduced rank regression was used to assess the groups of DPs and a linear mixed-effect model to explore the cortical neurodegenerative patterns. At screening, underweight body mass index (BMI) was related to significant higher lipid profile, impaired cognitive function, smaller cortical thickness, lower protein DP factor loading scores and the non-spouse caregiver status. Higher mini-mental state examination (MMSE) scores were related to the DP of coffee/tea, compared to the lipid/sugar or protein DP group. The underweighted-BMI group had faster cortical thickness atrophy in the pregenual and lateral temporal cortex, while the correlations between cortical thickness degeneration and high HbA1C or low B12 and folate levels were localized in the medial and lateral prefrontal cortex. The predictive model suggested that factors related to MMSE score were related to the caregiver status. In conclusion, normal or overweight BMI, coffee/tea DP group and living with a spouse were considered as protective factors for better cognitive outcomes in patients with AD. The influence of glucose, B12 and folate on the cortical degeneration was spatially distinct from the pattern of AD degeneration.
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spelling pubmed-97848912022-12-24 Cognitive Decline Related to Diet Pattern and Nutritional Adequacy in Alzheimer’s Disease Using Surface-Based Morphometry Hsiao, Hua-Tsen Ma, Mi-Chia Chang, Hsin-I Lin, Ching-Heng Hsu, Shih-Wei Huang, Shu-Hua Lee, Chen-Chang Huang, Chi-Wei Chang, Chiung-Chih Nutrients Article Dietary pattern (DP) results in nutrition adequacy and may influence cognitive decline and cortical atrophy in Alzheimer’s disease (AD). The study explored DP in 248 patients with AD. Two neurobehavioral assessments (intervals 13.4 months) and two cortical thickness measurements derived from magnetic resonance images (intervals 26.5 months) were collected as outcome measures. Reduced rank regression was used to assess the groups of DPs and a linear mixed-effect model to explore the cortical neurodegenerative patterns. At screening, underweight body mass index (BMI) was related to significant higher lipid profile, impaired cognitive function, smaller cortical thickness, lower protein DP factor loading scores and the non-spouse caregiver status. Higher mini-mental state examination (MMSE) scores were related to the DP of coffee/tea, compared to the lipid/sugar or protein DP group. The underweighted-BMI group had faster cortical thickness atrophy in the pregenual and lateral temporal cortex, while the correlations between cortical thickness degeneration and high HbA1C or low B12 and folate levels were localized in the medial and lateral prefrontal cortex. The predictive model suggested that factors related to MMSE score were related to the caregiver status. In conclusion, normal or overweight BMI, coffee/tea DP group and living with a spouse were considered as protective factors for better cognitive outcomes in patients with AD. The influence of glucose, B12 and folate on the cortical degeneration was spatially distinct from the pattern of AD degeneration. MDPI 2022-12-13 /pmc/articles/PMC9784891/ /pubmed/36558459 http://dx.doi.org/10.3390/nu14245300 Text en © 2022 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
Hsiao, Hua-Tsen
Ma, Mi-Chia
Chang, Hsin-I
Lin, Ching-Heng
Hsu, Shih-Wei
Huang, Shu-Hua
Lee, Chen-Chang
Huang, Chi-Wei
Chang, Chiung-Chih
Cognitive Decline Related to Diet Pattern and Nutritional Adequacy in Alzheimer’s Disease Using Surface-Based Morphometry
title Cognitive Decline Related to Diet Pattern and Nutritional Adequacy in Alzheimer’s Disease Using Surface-Based Morphometry
title_full Cognitive Decline Related to Diet Pattern and Nutritional Adequacy in Alzheimer’s Disease Using Surface-Based Morphometry
title_fullStr Cognitive Decline Related to Diet Pattern and Nutritional Adequacy in Alzheimer’s Disease Using Surface-Based Morphometry
title_full_unstemmed Cognitive Decline Related to Diet Pattern and Nutritional Adequacy in Alzheimer’s Disease Using Surface-Based Morphometry
title_short Cognitive Decline Related to Diet Pattern and Nutritional Adequacy in Alzheimer’s Disease Using Surface-Based Morphometry
title_sort cognitive decline related to diet pattern and nutritional adequacy in alzheimer’s disease using surface-based morphometry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9784891/
https://www.ncbi.nlm.nih.gov/pubmed/36558459
http://dx.doi.org/10.3390/nu14245300
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