Cargando…
Physical Activity, Sedentary Behavior, and Type 2 Diabetes: Mendelian Randomization Analysis
CONTEXT: The causality and pathways of the associations between physical activity and inactivity and the risk of type 2 diabetes remain inconclusive. OBJECTIVE: We conducted an updated mendelian randomization (MR) study to explore the associations of moderate-to-vigorous physical activity (MVPA) and...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10321115/ https://www.ncbi.nlm.nih.gov/pubmed/37415875 http://dx.doi.org/10.1210/jendso/bvad090 |
_version_ | 1785068563296419840 |
---|---|
author | Yuan, Shuai Li, Xue Liu, Qianwen Wang, Zhe Jiang, Xia Burgess, Stephen Larsson, Susanna C |
author_facet | Yuan, Shuai Li, Xue Liu, Qianwen Wang, Zhe Jiang, Xia Burgess, Stephen Larsson, Susanna C |
author_sort | Yuan, Shuai |
collection | PubMed |
description | CONTEXT: The causality and pathways of the associations between physical activity and inactivity and the risk of type 2 diabetes remain inconclusive. OBJECTIVE: We conducted an updated mendelian randomization (MR) study to explore the associations of moderate-to-vigorous physical activity (MVPA) and leisure screen time (LST) with type 2 diabetes mellitus (T2DM). METHODS: Genetic variants strongly associated with MVPA or LST with low linkage disequilibrium were selected as instrumental variables from a genome-wide meta-analysis including more than 600 000 individuals. Summary-level data on T2DM were obtained from the DIAbetes Genetics Replication And Meta-analysis consortium including 898 130 individuals. Data on possible intermediates (adiposity indicators, lean mass, glycemic traits, and inflammatory biomarkers) were extracted from large-scale genome-wide association studies (n = 21 758-681 275). Univariable and multivariable MR analyses were performed to estimate the total and direct effects of MVPA and LST on T2DM. Methylation MR analysis was performed for MVPA in relation to diabetes. RESULTS: The odds ratio of T2DM was 0.70 (95% CI, 0.55-0.88; P = .002) per unit increase in the log-odds ratio of having MVPA and 1.45 (95% CI, 1.30-1.62; P = 7.62 × 10(−11)) per SD increase in genetically predicted LST. These associations attenuated in multivariable MR analyses adjusted for genetically predicted waist-to-hip ratio, body mass index, lean mass, and circulating C-reactive protein. The association between genetically predicted MVPA and T2DM attenuated after adjusting for genetically predicted fasting insulin levels. Two physical activity-related methylation biomarkers (cg17332422 in ADAMTS2 and cg09531019) were associated with the risk of T2DM (P < .05). CONCLUSION: The study suggests causal associations of MVPA and LST with T2DM that appear to be mediated by obesity, lean mass, and chronic low-grade inflammation. |
format | Online Article Text |
id | pubmed-10321115 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-103211152023-07-06 Physical Activity, Sedentary Behavior, and Type 2 Diabetes: Mendelian Randomization Analysis Yuan, Shuai Li, Xue Liu, Qianwen Wang, Zhe Jiang, Xia Burgess, Stephen Larsson, Susanna C J Endocr Soc Clinical Research Article CONTEXT: The causality and pathways of the associations between physical activity and inactivity and the risk of type 2 diabetes remain inconclusive. OBJECTIVE: We conducted an updated mendelian randomization (MR) study to explore the associations of moderate-to-vigorous physical activity (MVPA) and leisure screen time (LST) with type 2 diabetes mellitus (T2DM). METHODS: Genetic variants strongly associated with MVPA or LST with low linkage disequilibrium were selected as instrumental variables from a genome-wide meta-analysis including more than 600 000 individuals. Summary-level data on T2DM were obtained from the DIAbetes Genetics Replication And Meta-analysis consortium including 898 130 individuals. Data on possible intermediates (adiposity indicators, lean mass, glycemic traits, and inflammatory biomarkers) were extracted from large-scale genome-wide association studies (n = 21 758-681 275). Univariable and multivariable MR analyses were performed to estimate the total and direct effects of MVPA and LST on T2DM. Methylation MR analysis was performed for MVPA in relation to diabetes. RESULTS: The odds ratio of T2DM was 0.70 (95% CI, 0.55-0.88; P = .002) per unit increase in the log-odds ratio of having MVPA and 1.45 (95% CI, 1.30-1.62; P = 7.62 × 10(−11)) per SD increase in genetically predicted LST. These associations attenuated in multivariable MR analyses adjusted for genetically predicted waist-to-hip ratio, body mass index, lean mass, and circulating C-reactive protein. The association between genetically predicted MVPA and T2DM attenuated after adjusting for genetically predicted fasting insulin levels. Two physical activity-related methylation biomarkers (cg17332422 in ADAMTS2 and cg09531019) were associated with the risk of T2DM (P < .05). CONCLUSION: The study suggests causal associations of MVPA and LST with T2DM that appear to be mediated by obesity, lean mass, and chronic low-grade inflammation. Oxford University Press 2023-06-26 /pmc/articles/PMC10321115/ /pubmed/37415875 http://dx.doi.org/10.1210/jendso/bvad090 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Endocrine Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Clinical Research Article Yuan, Shuai Li, Xue Liu, Qianwen Wang, Zhe Jiang, Xia Burgess, Stephen Larsson, Susanna C Physical Activity, Sedentary Behavior, and Type 2 Diabetes: Mendelian Randomization Analysis |
title | Physical Activity, Sedentary Behavior, and Type 2 Diabetes: Mendelian Randomization Analysis |
title_full | Physical Activity, Sedentary Behavior, and Type 2 Diabetes: Mendelian Randomization Analysis |
title_fullStr | Physical Activity, Sedentary Behavior, and Type 2 Diabetes: Mendelian Randomization Analysis |
title_full_unstemmed | Physical Activity, Sedentary Behavior, and Type 2 Diabetes: Mendelian Randomization Analysis |
title_short | Physical Activity, Sedentary Behavior, and Type 2 Diabetes: Mendelian Randomization Analysis |
title_sort | physical activity, sedentary behavior, and type 2 diabetes: mendelian randomization analysis |
topic | Clinical Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10321115/ https://www.ncbi.nlm.nih.gov/pubmed/37415875 http://dx.doi.org/10.1210/jendso/bvad090 |
work_keys_str_mv | AT yuanshuai physicalactivitysedentarybehaviorandtype2diabetesmendelianrandomizationanalysis AT lixue physicalactivitysedentarybehaviorandtype2diabetesmendelianrandomizationanalysis AT liuqianwen physicalactivitysedentarybehaviorandtype2diabetesmendelianrandomizationanalysis AT wangzhe physicalactivitysedentarybehaviorandtype2diabetesmendelianrandomizationanalysis AT jiangxia physicalactivitysedentarybehaviorandtype2diabetesmendelianrandomizationanalysis AT burgessstephen physicalactivitysedentarybehaviorandtype2diabetesmendelianrandomizationanalysis AT larssonsusannac physicalactivitysedentarybehaviorandtype2diabetesmendelianrandomizationanalysis |