Cargando…

Metabolome-wide association study on physical activity

The underlying mechanisms linking physical activity to better health are not fully understood. Here we examined the associations between physical activity and small circulatory molecules, the metabolome, to highlight relevant biological pathways. We examined plasma metabolites associated with self-r...

Descripción completa

Detalles Bibliográficos
Autores principales: Kojouri, Maedeh, Pinto, Rui, Mustafa, Rima, Huang, Jian, Gao, He, Elliott, Paul, Tzoulaki, Ioanna, Dehghan, Abbas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911764/
https://www.ncbi.nlm.nih.gov/pubmed/36759570
http://dx.doi.org/10.1038/s41598-022-26377-7
_version_ 1784885060677140480
author Kojouri, Maedeh
Pinto, Rui
Mustafa, Rima
Huang, Jian
Gao, He
Elliott, Paul
Tzoulaki, Ioanna
Dehghan, Abbas
author_facet Kojouri, Maedeh
Pinto, Rui
Mustafa, Rima
Huang, Jian
Gao, He
Elliott, Paul
Tzoulaki, Ioanna
Dehghan, Abbas
author_sort Kojouri, Maedeh
collection PubMed
description The underlying mechanisms linking physical activity to better health are not fully understood. Here we examined the associations between physical activity and small circulatory molecules, the metabolome, to highlight relevant biological pathways. We examined plasma metabolites associated with self-reported physical activity among 2217 participants from the Airwave Health Monitoring Study. Metabolic profiling was conducted using the mass spectrometry-based Metabolon platform (LC/GC–MS), measuring 828 known metabolites. We replicated our findings in an independent subset of the study (n = 2971) using untargeted LC–MS. Mendelian randomisation was carried out to investigate potential causal associations between physical activity, body mass index, and metabolites. Higher vigorous physical activity was associated (P < 0.05/828 = 6.03 × 10(–5)) with circulatory levels of 28 metabolites adjusted for age, sex and body mass index. The association was inverse for glutamate and diacylglycerol lipids, and direct for 3–4-hydroxyphenyllactate, phenyl lactate (PLA), alpha-hydroxy isovalerate, tiglylcarnitine, alpha-hydroxyisocaproate, 2-hydroxy-3-methylvalerate, isobutyrylcarnitine, imidazole lactate, methionine sulfone, indole lactate, plasmalogen lipids, pristanate and fumarate. In the replication panel, we found 23 untargeted LC–MS features annotated to the identified metabolites, for which we found nominal associations with the same direction of effect for three features annotated to 1-(1-enyl-palmitoyl)-2-oleoyl-GPC (P-16:0/18:1), 1-(1-enyl-palmitoyl)-2-linoleoyl-GPC (P-16:0/18:2), 1-stearoyl-2-dihomo-linolenoyl-GPC (18:0/20:3n3 or 6). Using Mendelian randomisation, we showed a potential causal relationship between body mass index and three identified metabolites. Circulatory metabolites are associated with physical activity and may play a role in mediating its health effects.
format Online
Article
Text
id pubmed-9911764
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-99117642023-02-11 Metabolome-wide association study on physical activity Kojouri, Maedeh Pinto, Rui Mustafa, Rima Huang, Jian Gao, He Elliott, Paul Tzoulaki, Ioanna Dehghan, Abbas Sci Rep Article The underlying mechanisms linking physical activity to better health are not fully understood. Here we examined the associations between physical activity and small circulatory molecules, the metabolome, to highlight relevant biological pathways. We examined plasma metabolites associated with self-reported physical activity among 2217 participants from the Airwave Health Monitoring Study. Metabolic profiling was conducted using the mass spectrometry-based Metabolon platform (LC/GC–MS), measuring 828 known metabolites. We replicated our findings in an independent subset of the study (n = 2971) using untargeted LC–MS. Mendelian randomisation was carried out to investigate potential causal associations between physical activity, body mass index, and metabolites. Higher vigorous physical activity was associated (P < 0.05/828 = 6.03 × 10(–5)) with circulatory levels of 28 metabolites adjusted for age, sex and body mass index. The association was inverse for glutamate and diacylglycerol lipids, and direct for 3–4-hydroxyphenyllactate, phenyl lactate (PLA), alpha-hydroxy isovalerate, tiglylcarnitine, alpha-hydroxyisocaproate, 2-hydroxy-3-methylvalerate, isobutyrylcarnitine, imidazole lactate, methionine sulfone, indole lactate, plasmalogen lipids, pristanate and fumarate. In the replication panel, we found 23 untargeted LC–MS features annotated to the identified metabolites, for which we found nominal associations with the same direction of effect for three features annotated to 1-(1-enyl-palmitoyl)-2-oleoyl-GPC (P-16:0/18:1), 1-(1-enyl-palmitoyl)-2-linoleoyl-GPC (P-16:0/18:2), 1-stearoyl-2-dihomo-linolenoyl-GPC (18:0/20:3n3 or 6). Using Mendelian randomisation, we showed a potential causal relationship between body mass index and three identified metabolites. Circulatory metabolites are associated with physical activity and may play a role in mediating its health effects. Nature Publishing Group UK 2023-02-09 /pmc/articles/PMC9911764/ /pubmed/36759570 http://dx.doi.org/10.1038/s41598-022-26377-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) .
spellingShingle Article
Kojouri, Maedeh
Pinto, Rui
Mustafa, Rima
Huang, Jian
Gao, He
Elliott, Paul
Tzoulaki, Ioanna
Dehghan, Abbas
Metabolome-wide association study on physical activity
title Metabolome-wide association study on physical activity
title_full Metabolome-wide association study on physical activity
title_fullStr Metabolome-wide association study on physical activity
title_full_unstemmed Metabolome-wide association study on physical activity
title_short Metabolome-wide association study on physical activity
title_sort metabolome-wide association study on physical activity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911764/
https://www.ncbi.nlm.nih.gov/pubmed/36759570
http://dx.doi.org/10.1038/s41598-022-26377-7
work_keys_str_mv AT kojourimaedeh metabolomewideassociationstudyonphysicalactivity
AT pintorui metabolomewideassociationstudyonphysicalactivity
AT mustafarima metabolomewideassociationstudyonphysicalactivity
AT huangjian metabolomewideassociationstudyonphysicalactivity
AT gaohe metabolomewideassociationstudyonphysicalactivity
AT elliottpaul metabolomewideassociationstudyonphysicalactivity
AT tzoulakiioanna metabolomewideassociationstudyonphysicalactivity
AT dehghanabbas metabolomewideassociationstudyonphysicalactivity