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Body mass index, genetic susceptibility, and Alzheimer's disease: a longitudinal study based on 475,813 participants from the UK Biobank
BACKGROUND: The association between body mass index (BMI) and Alzheimer's disease (AD) remains controversial. Genetic and environmental factors are now considered contributors to AD risk. However, little is known about the potential interaction between genetic risk and BMI on AD risk. OBJECTIVE...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463868/ https://www.ncbi.nlm.nih.gov/pubmed/36085169 http://dx.doi.org/10.1186/s12967-022-03621-2 |
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author | Yuan, Shiqi Wu, Wentao Ma, Wen Huang, Xiaxuan Huang, Tao Peng, MIn Xu, Anding Lyu, Jun |
author_facet | Yuan, Shiqi Wu, Wentao Ma, Wen Huang, Xiaxuan Huang, Tao Peng, MIn Xu, Anding Lyu, Jun |
author_sort | Yuan, Shiqi |
collection | PubMed |
description | BACKGROUND: The association between body mass index (BMI) and Alzheimer's disease (AD) remains controversial. Genetic and environmental factors are now considered contributors to AD risk. However, little is known about the potential interaction between genetic risk and BMI on AD risk. OBJECTIVE: To study the causal relationship between BMI and AD, and the potential interaction between AD genetic risk and BMI on AD risk. METHODS AND RESULTS: Using the UK Biobank database, 475,813 participants were selected for an average follow-up time of more than 10 years. Main findings: 1) there was a nonlinear relationship between BMI and AD risk in participants aged 60 years or older (p for non-linear < 0.001), but not in participants aged 37–59 years (p for non-linear = 0.717) using restricted cubic splines; 2) for participants aged 60 years and older, compared with the BMI (23–30 kg/m(2)) group, the BMI (< 23 kg/m(2)) group was associated with a higher AD risk (HR = 1.585; 95% CI 1.304–1.928, p < 0.001) and the BMI (> 30 kg/m(2)) group was associated with a lower AD risk (HR = 0.741; 95% CI 0.618–0.888, p < 0.01) analyzed using the Cox proportional risk model; 3) participants with a combination of high AD genetic risk score (AD-GRS) and BMI (< 23 kg/m(2)) were associated with the highest AD risk (HR = 3.034; 95% CI 2.057–4.477, p < 0.001). In addition, compared with the BMI (< 23 kg/m(2)), the higher BMI was associated with a lower risk of AD in participants with the same intermediate or high AD-GRS; 4) there was a reverse causality between BMI and AD when analyzed using bidirectional Mendelian randomization (MR). CONCLUSION: There was a reverse causality between BMI and AD analyzed using MR. For participants aged 60 years and older, the higher BMI was associated with a lower risk of AD in participants with the same intermediate or high AD genetic risk. BMI (23–30 kg/m(2)) may be a potential intervention for AD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03621-2. |
format | Online Article Text |
id | pubmed-9463868 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94638682022-09-11 Body mass index, genetic susceptibility, and Alzheimer's disease: a longitudinal study based on 475,813 participants from the UK Biobank Yuan, Shiqi Wu, Wentao Ma, Wen Huang, Xiaxuan Huang, Tao Peng, MIn Xu, Anding Lyu, Jun J Transl Med Research BACKGROUND: The association between body mass index (BMI) and Alzheimer's disease (AD) remains controversial. Genetic and environmental factors are now considered contributors to AD risk. However, little is known about the potential interaction between genetic risk and BMI on AD risk. OBJECTIVE: To study the causal relationship between BMI and AD, and the potential interaction between AD genetic risk and BMI on AD risk. METHODS AND RESULTS: Using the UK Biobank database, 475,813 participants were selected for an average follow-up time of more than 10 years. Main findings: 1) there was a nonlinear relationship between BMI and AD risk in participants aged 60 years or older (p for non-linear < 0.001), but not in participants aged 37–59 years (p for non-linear = 0.717) using restricted cubic splines; 2) for participants aged 60 years and older, compared with the BMI (23–30 kg/m(2)) group, the BMI (< 23 kg/m(2)) group was associated with a higher AD risk (HR = 1.585; 95% CI 1.304–1.928, p < 0.001) and the BMI (> 30 kg/m(2)) group was associated with a lower AD risk (HR = 0.741; 95% CI 0.618–0.888, p < 0.01) analyzed using the Cox proportional risk model; 3) participants with a combination of high AD genetic risk score (AD-GRS) and BMI (< 23 kg/m(2)) were associated with the highest AD risk (HR = 3.034; 95% CI 2.057–4.477, p < 0.001). In addition, compared with the BMI (< 23 kg/m(2)), the higher BMI was associated with a lower risk of AD in participants with the same intermediate or high AD-GRS; 4) there was a reverse causality between BMI and AD when analyzed using bidirectional Mendelian randomization (MR). CONCLUSION: There was a reverse causality between BMI and AD analyzed using MR. For participants aged 60 years and older, the higher BMI was associated with a lower risk of AD in participants with the same intermediate or high AD genetic risk. BMI (23–30 kg/m(2)) may be a potential intervention for AD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03621-2. BioMed Central 2022-09-09 /pmc/articles/PMC9463868/ /pubmed/36085169 http://dx.doi.org/10.1186/s12967-022-03621-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Yuan, Shiqi Wu, Wentao Ma, Wen Huang, Xiaxuan Huang, Tao Peng, MIn Xu, Anding Lyu, Jun Body mass index, genetic susceptibility, and Alzheimer's disease: a longitudinal study based on 475,813 participants from the UK Biobank |
title | Body mass index, genetic susceptibility, and Alzheimer's disease: a longitudinal study based on 475,813 participants from the UK Biobank |
title_full | Body mass index, genetic susceptibility, and Alzheimer's disease: a longitudinal study based on 475,813 participants from the UK Biobank |
title_fullStr | Body mass index, genetic susceptibility, and Alzheimer's disease: a longitudinal study based on 475,813 participants from the UK Biobank |
title_full_unstemmed | Body mass index, genetic susceptibility, and Alzheimer's disease: a longitudinal study based on 475,813 participants from the UK Biobank |
title_short | Body mass index, genetic susceptibility, and Alzheimer's disease: a longitudinal study based on 475,813 participants from the UK Biobank |
title_sort | body mass index, genetic susceptibility, and alzheimer's disease: a longitudinal study based on 475,813 participants from the uk biobank |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463868/ https://www.ncbi.nlm.nih.gov/pubmed/36085169 http://dx.doi.org/10.1186/s12967-022-03621-2 |
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