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Causal relationship among obesity and body fat distribution and epilepsy subtypes
OBJECTIVE: The observational studies indicate an association between obesity and epilepsy, but it is unclear whether such an association responds to causality. The objective of this study was to determine the causal relationship between obesity and fat distribution and epilepsy subtypes based on wai...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9644162/ https://www.ncbi.nlm.nih.gov/pubmed/36388204 http://dx.doi.org/10.3389/fneur.2022.984824 |
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author | Zhou, Kaiping Yang, Huan Chen, Ruomeng Wang, Weiping Qu, Zhenzhen |
author_facet | Zhou, Kaiping Yang, Huan Chen, Ruomeng Wang, Weiping Qu, Zhenzhen |
author_sort | Zhou, Kaiping |
collection | PubMed |
description | OBJECTIVE: The observational studies indicate an association between obesity and epilepsy, but it is unclear whether such an association responds to causality. The objective of this study was to determine the causal relationship between obesity and fat distribution and epilepsy subtypes based on waist circumference, hip circumference (HP), waist-hip ratio (WHR), and body mass index (BMI). METHODS: A two-sample Mendelian randomization study was conducted separately for the four indicators of obesity and epilepsy and its seven subtypes, with reverse Mendelian randomization and multivariate Mendelian randomization for significant outcomes. RESULTS: A two-sample Mendelian randomized analysis informed us that waist circumference was a risk factor for juvenile myoclonic epilepsy (beta = 0.0299, P = 4.60 × 10(−3)). The increase in hip circumference increased the risk of juvenile myoclonic epilepsy and epilepsy, with effect values of 0.0283 (P = 2.01 × 10(−3)) and 0.0928 (P = 1.40 × 10(−2)), respectively. Furthermore, children with a higher BMI exhibit a higher risk of epilepsy (beta = 0.0148 P = 1.05 × 10(−3)). The reverse Mendelian randomization study revealed that childhood absence epilepsy increased its BMI (beta = 0.8980, P = 7.52 × 10(−7)), and juvenile myoclonic epilepsy increased its waist circumference (beta = 0.7322, P = 3.26 × 10(−2)). Multivariate Mendelian randomization revealed that an increase in hip circumference and waist-hip ratio increased the risk of juvenile myoclonic epilepsy, with an effect value of 0.1051 (P = 9.75 × 10(−4)) and 0.1430 (P = 3.99 × 10(−3)), respectively, while an increase in BMI and waist circumference instead decreased their risk, with effect values of −0.0951 (P = 3.14 × 10(−2)) and−0.0541 (P = 1.71 × 10(−2)). In contrast, multivariate Mendelian randomization for childhood absence epilepsy and epilepsy did not identify any independent risk factors. SIGNIFICANCE: Our findings provide novel evidence in favor of obesity as a risk factor for epilepsy and waist circumference as a risk factor for juvenile myoclonic epilepsy. Increased hip circumference confers an elevated risk of juvenile myoclonic epilepsy and epilepsy (all documented cases), and a high BMI increases the risk of childhood absence epilepsy. With this, new insights are provided into the energy metabolism of epilepsy, which supports further nutritional interventions and the search for new therapeutic targets. |
format | Online Article Text |
id | pubmed-9644162 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96441622022-11-15 Causal relationship among obesity and body fat distribution and epilepsy subtypes Zhou, Kaiping Yang, Huan Chen, Ruomeng Wang, Weiping Qu, Zhenzhen Front Neurol Neurology OBJECTIVE: The observational studies indicate an association between obesity and epilepsy, but it is unclear whether such an association responds to causality. The objective of this study was to determine the causal relationship between obesity and fat distribution and epilepsy subtypes based on waist circumference, hip circumference (HP), waist-hip ratio (WHR), and body mass index (BMI). METHODS: A two-sample Mendelian randomization study was conducted separately for the four indicators of obesity and epilepsy and its seven subtypes, with reverse Mendelian randomization and multivariate Mendelian randomization for significant outcomes. RESULTS: A two-sample Mendelian randomized analysis informed us that waist circumference was a risk factor for juvenile myoclonic epilepsy (beta = 0.0299, P = 4.60 × 10(−3)). The increase in hip circumference increased the risk of juvenile myoclonic epilepsy and epilepsy, with effect values of 0.0283 (P = 2.01 × 10(−3)) and 0.0928 (P = 1.40 × 10(−2)), respectively. Furthermore, children with a higher BMI exhibit a higher risk of epilepsy (beta = 0.0148 P = 1.05 × 10(−3)). The reverse Mendelian randomization study revealed that childhood absence epilepsy increased its BMI (beta = 0.8980, P = 7.52 × 10(−7)), and juvenile myoclonic epilepsy increased its waist circumference (beta = 0.7322, P = 3.26 × 10(−2)). Multivariate Mendelian randomization revealed that an increase in hip circumference and waist-hip ratio increased the risk of juvenile myoclonic epilepsy, with an effect value of 0.1051 (P = 9.75 × 10(−4)) and 0.1430 (P = 3.99 × 10(−3)), respectively, while an increase in BMI and waist circumference instead decreased their risk, with effect values of −0.0951 (P = 3.14 × 10(−2)) and−0.0541 (P = 1.71 × 10(−2)). In contrast, multivariate Mendelian randomization for childhood absence epilepsy and epilepsy did not identify any independent risk factors. SIGNIFICANCE: Our findings provide novel evidence in favor of obesity as a risk factor for epilepsy and waist circumference as a risk factor for juvenile myoclonic epilepsy. Increased hip circumference confers an elevated risk of juvenile myoclonic epilepsy and epilepsy (all documented cases), and a high BMI increases the risk of childhood absence epilepsy. With this, new insights are provided into the energy metabolism of epilepsy, which supports further nutritional interventions and the search for new therapeutic targets. Frontiers Media S.A. 2022-10-26 /pmc/articles/PMC9644162/ /pubmed/36388204 http://dx.doi.org/10.3389/fneur.2022.984824 Text en Copyright © 2022 Zhou, Yang, Chen, Wang and Qu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Zhou, Kaiping Yang, Huan Chen, Ruomeng Wang, Weiping Qu, Zhenzhen Causal relationship among obesity and body fat distribution and epilepsy subtypes |
title | Causal relationship among obesity and body fat distribution and epilepsy subtypes |
title_full | Causal relationship among obesity and body fat distribution and epilepsy subtypes |
title_fullStr | Causal relationship among obesity and body fat distribution and epilepsy subtypes |
title_full_unstemmed | Causal relationship among obesity and body fat distribution and epilepsy subtypes |
title_short | Causal relationship among obesity and body fat distribution and epilepsy subtypes |
title_sort | causal relationship among obesity and body fat distribution and epilepsy subtypes |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9644162/ https://www.ncbi.nlm.nih.gov/pubmed/36388204 http://dx.doi.org/10.3389/fneur.2022.984824 |
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