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Physical Activity, Sedentary Leisure Time, Circulating Metabolic Markers, and Risk of Major Vascular Diseases

Physical inactivity and sedentary behavior are associated with higher risk of cardiovascular disease (CVD). Little is known about the relevance of circulating metabolites for these associations. METHODS: A nested case-control study within the prospective China Kadoorie Biobank included 3195 incident...

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Autores principales: Pang, Yuanjie, Kartsonaki, Christiana, Du, Huaidong, Millwood, Iona Y., Guo, Yu, Chen, Yiping, Bian, Zheng, Yang, Ling, Walters, Robin, Bragg, Fiona, Lv, Jun, Yu, Canqing, Chen, Junshi, Peto, Richard, Clarke, Robert, Collins, Rory, Bennett, Derrick A., Li, Liming, Holmes, Michael V., Chen, Zhengming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6752700/
https://www.ncbi.nlm.nih.gov/pubmed/31461308
http://dx.doi.org/10.1161/CIRCGEN.118.002527
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author Pang, Yuanjie
Kartsonaki, Christiana
Du, Huaidong
Millwood, Iona Y.
Guo, Yu
Chen, Yiping
Bian, Zheng
Yang, Ling
Walters, Robin
Bragg, Fiona
Lv, Jun
Yu, Canqing
Chen, Junshi
Peto, Richard
Clarke, Robert
Collins, Rory
Bennett, Derrick A.
Li, Liming
Holmes, Michael V.
Chen, Zhengming
author_facet Pang, Yuanjie
Kartsonaki, Christiana
Du, Huaidong
Millwood, Iona Y.
Guo, Yu
Chen, Yiping
Bian, Zheng
Yang, Ling
Walters, Robin
Bragg, Fiona
Lv, Jun
Yu, Canqing
Chen, Junshi
Peto, Richard
Clarke, Robert
Collins, Rory
Bennett, Derrick A.
Li, Liming
Holmes, Michael V.
Chen, Zhengming
author_sort Pang, Yuanjie
collection PubMed
description Physical inactivity and sedentary behavior are associated with higher risk of cardiovascular disease (CVD). Little is known about the relevance of circulating metabolites for these associations. METHODS: A nested case-control study within the prospective China Kadoorie Biobank included 3195 incident CVD cases (2057 occlusive CVD and 1138 intracerebral hemorrhage) and 1465 controls aged 30 to 79 years without prior CVD or statin use at baseline. Nuclear magnetic resonance spectroscopy was used to measure 225 metabolic markers and derived traits in baseline plasma samples. Linear regression was used to relate self-reported physical activity and sedentary leisure time to biomarkers, adjusting for potential confounders. These were contrasted with associations of biomarkers with occlusive CVD risk. RESULTS: Physical activity and sedentary leisure time were associated with >100 metabolic markers, with patterns of associations generally mirroring each other. Physical activity was inversely associated with very low and low-density and positively with large and very large HDL (high-density lipoprotein) particle concentrations. Physical activity was also inversely associated with alanine, glucose, lactate, acetoacetate, and the inflammatory marker glycoprotein acetyls. In general, associations of physical activity and sedentary leisure time with specific metabolic markers were directionally consistent with the associations of these metabolic markers with occlusive CVD risk. Overall, metabolic markers potentially explained ≈70% of the protective associations of physical activity and ≈50% of the positive associations of sedentary leisure time with occlusive CVD. CONCLUSIONS: Among Chinese adults, physical activity and sedentary behavior have opposing associations with a diverse range of circulating metabolites, which may partially explain their associations with CVD risk.
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spelling pubmed-67527002019-10-07 Physical Activity, Sedentary Leisure Time, Circulating Metabolic Markers, and Risk of Major Vascular Diseases Pang, Yuanjie Kartsonaki, Christiana Du, Huaidong Millwood, Iona Y. Guo, Yu Chen, Yiping Bian, Zheng Yang, Ling Walters, Robin Bragg, Fiona Lv, Jun Yu, Canqing Chen, Junshi Peto, Richard Clarke, Robert Collins, Rory Bennett, Derrick A. Li, Liming Holmes, Michael V. Chen, Zhengming Circ Genom Precis Med Original Articles Physical inactivity and sedentary behavior are associated with higher risk of cardiovascular disease (CVD). Little is known about the relevance of circulating metabolites for these associations. METHODS: A nested case-control study within the prospective China Kadoorie Biobank included 3195 incident CVD cases (2057 occlusive CVD and 1138 intracerebral hemorrhage) and 1465 controls aged 30 to 79 years without prior CVD or statin use at baseline. Nuclear magnetic resonance spectroscopy was used to measure 225 metabolic markers and derived traits in baseline plasma samples. Linear regression was used to relate self-reported physical activity and sedentary leisure time to biomarkers, adjusting for potential confounders. These were contrasted with associations of biomarkers with occlusive CVD risk. RESULTS: Physical activity and sedentary leisure time were associated with >100 metabolic markers, with patterns of associations generally mirroring each other. Physical activity was inversely associated with very low and low-density and positively with large and very large HDL (high-density lipoprotein) particle concentrations. Physical activity was also inversely associated with alanine, glucose, lactate, acetoacetate, and the inflammatory marker glycoprotein acetyls. In general, associations of physical activity and sedentary leisure time with specific metabolic markers were directionally consistent with the associations of these metabolic markers with occlusive CVD risk. Overall, metabolic markers potentially explained ≈70% of the protective associations of physical activity and ≈50% of the positive associations of sedentary leisure time with occlusive CVD. CONCLUSIONS: Among Chinese adults, physical activity and sedentary behavior have opposing associations with a diverse range of circulating metabolites, which may partially explain their associations with CVD risk. Lippincott Williams & Wilkins 2019-09-17 /pmc/articles/PMC6752700/ /pubmed/31461308 http://dx.doi.org/10.1161/CIRCGEN.118.002527 Text en © 2019 The Authors. Circulation: Genomic and Precision Medicine is published on behalf of the American Heart Association, Inc., by Wolters Kluwer Health, Inc. This is an open access article under the terms of the Creative Commons Attribution (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited.
spellingShingle Original Articles
Pang, Yuanjie
Kartsonaki, Christiana
Du, Huaidong
Millwood, Iona Y.
Guo, Yu
Chen, Yiping
Bian, Zheng
Yang, Ling
Walters, Robin
Bragg, Fiona
Lv, Jun
Yu, Canqing
Chen, Junshi
Peto, Richard
Clarke, Robert
Collins, Rory
Bennett, Derrick A.
Li, Liming
Holmes, Michael V.
Chen, Zhengming
Physical Activity, Sedentary Leisure Time, Circulating Metabolic Markers, and Risk of Major Vascular Diseases
title Physical Activity, Sedentary Leisure Time, Circulating Metabolic Markers, and Risk of Major Vascular Diseases
title_full Physical Activity, Sedentary Leisure Time, Circulating Metabolic Markers, and Risk of Major Vascular Diseases
title_fullStr Physical Activity, Sedentary Leisure Time, Circulating Metabolic Markers, and Risk of Major Vascular Diseases
title_full_unstemmed Physical Activity, Sedentary Leisure Time, Circulating Metabolic Markers, and Risk of Major Vascular Diseases
title_short Physical Activity, Sedentary Leisure Time, Circulating Metabolic Markers, and Risk of Major Vascular Diseases
title_sort physical activity, sedentary leisure time, circulating metabolic markers, and risk of major vascular diseases
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6752700/
https://www.ncbi.nlm.nih.gov/pubmed/31461308
http://dx.doi.org/10.1161/CIRCGEN.118.002527
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