Metabolome-Wide Association Study of the Relationship Between Habitual Physical Activity and Plasma Metabolite Levels

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Metabolome-Wide Association Study of the Relationship Between Habitual Physical Activity and Plasma Metabolite Levels. / Ding, Ming; Zeleznik, Oana A; Guasch-Ferre, Marta; Hu, Jie; Lasky-Su, Jessica; Lee, I-Min; Jackson, Rebecca D.; Shadyab, Aladdin H; LaMonte, Michael J; Clish, Clary; Eliassen, A Heather; Sacks, Frank; Willett, Walter C; Hu, Frank B; Rexrode, Kathryn M; Kraft, Peter.

In: American Journal of Epidemiology, Vol. 188, No. 11, 2019, p. 1932-1943.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Ding, M, Zeleznik, OA, Guasch-Ferre, M, Hu, J, Lasky-Su, J, Lee, I-M, Jackson, RD, Shadyab, AH, LaMonte, MJ, Clish, C, Eliassen, AH, Sacks, F, Willett, WC, Hu, FB, Rexrode, KM & Kraft, P 2019, 'Metabolome-Wide Association Study of the Relationship Between Habitual Physical Activity and Plasma Metabolite Levels', American Journal of Epidemiology, vol. 188, no. 11, pp. 1932-1943. https://doi.org/10.1093/aje/kwz171

APA

Ding, M., Zeleznik, O. A., Guasch-Ferre, M., Hu, J., Lasky-Su, J., Lee, I-M., Jackson, R. D., Shadyab, A. H., LaMonte, M. J., Clish, C., Eliassen, A. H., Sacks, F., Willett, W. C., Hu, F. B., Rexrode, K. M., & Kraft, P. (2019). Metabolome-Wide Association Study of the Relationship Between Habitual Physical Activity and Plasma Metabolite Levels. American Journal of Epidemiology, 188(11), 1932-1943. https://doi.org/10.1093/aje/kwz171

Vancouver

Ding M, Zeleznik OA, Guasch-Ferre M, Hu J, Lasky-Su J, Lee I-M et al. Metabolome-Wide Association Study of the Relationship Between Habitual Physical Activity and Plasma Metabolite Levels. American Journal of Epidemiology. 2019;188(11):1932-1943. https://doi.org/10.1093/aje/kwz171

Author

Ding, Ming ; Zeleznik, Oana A ; Guasch-Ferre, Marta ; Hu, Jie ; Lasky-Su, Jessica ; Lee, I-Min ; Jackson, Rebecca D. ; Shadyab, Aladdin H ; LaMonte, Michael J ; Clish, Clary ; Eliassen, A Heather ; Sacks, Frank ; Willett, Walter C ; Hu, Frank B ; Rexrode, Kathryn M ; Kraft, Peter. / Metabolome-Wide Association Study of the Relationship Between Habitual Physical Activity and Plasma Metabolite Levels. In: American Journal of Epidemiology. 2019 ; Vol. 188, No. 11. pp. 1932-1943.

Bibtex

@article{6db82704b90344c7a6e876772960776a,
title = "Metabolome-Wide Association Study of the Relationship Between Habitual Physical Activity and Plasma Metabolite Levels",
abstract = "We identified plasma metabolites associated with habitual physical activity among 5,197 US participants from the Nurses' Health Study (NHS), Nurses' Health Study II (NHS II), and the Health Professionals Follow-up Study (HPFS). Physical activity was assessed every 2-4 years via self-report questionnaires. Blood was collected in the NHS in 1989-1990, in NHS II during 1996-1999, and in the HPFS during 1993-1995. Metabolic profiling was conducted by liquid chromatography-mass spectrometry. Our study included 337 known metabolites, with 256 of them classified as lipids. We corrected for multiple testing by controlling the tail probability of the proportion of false positives (TPPFP) and accounted for correlated tests using bootstrapping. Physical activity was significantly associated with 20 metabolites after correction for multiple testing (TPPFP < 0.05), and positive associations were found for most of the metabolites, including 2 amino acids (citrulline and glycine), 4 cholesteryl esters (C18:2, C18:1, C16:0, C18:3), 8 phosphocholines (PCs) (C36:4 PC-A, C34:3 PC plasmalogen, C36:3 PC plasmalogen, C34:2 PC plasmalogen, C36:2 PC) and lysophosphatidylcholines (C18:2, C20:5, C18:1), and 3 phosphatidylethanolamines (PEs) (C38:3 PE plasmalogen) and lysophosphatidylethanolamines (C18:2, C18:1). We independently replicated the 20 metabolites among 2,305 women in the Women's Health Initiative using 1993 data, and half of the metabolites were replicated. Our study may help identify biomarkers of physical activity and provide insight into biological mechanisms underlying the beneficial effect of being physically active on cardiometabolic health.",
keywords = "Adult, Case-Control Studies, Exercise/physiology, Female, Humans, Lipid Metabolism, Metabolome, Middle Aged, Molecular Epidemiology",
author = "Ming Ding and Zeleznik, {Oana A} and Marta Guasch-Ferre and Jie Hu and Jessica Lasky-Su and I-Min Lee and Jackson, {Rebecca D.} and Shadyab, {Aladdin H} and LaMonte, {Michael J} and Clary Clish and Eliassen, {A Heather} and Frank Sacks and Willett, {Walter C} and Hu, {Frank B} and Rexrode, {Kathryn M} and Peter Kraft",
note = "{\textcopyright} The Author(s) 2019. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.",
year = "2019",
doi = "10.1093/aje/kwz171",
language = "English",
volume = "188",
pages = "1932--1943",
journal = "American Journal of Epidemiology",
issn = "0002-9262",
publisher = "Oxford University Press",
number = "11",

}

RIS

TY - JOUR

T1 - Metabolome-Wide Association Study of the Relationship Between Habitual Physical Activity and Plasma Metabolite Levels

AU - Ding, Ming

AU - Zeleznik, Oana A

AU - Guasch-Ferre, Marta

AU - Hu, Jie

AU - Lasky-Su, Jessica

AU - Lee, I-Min

AU - Jackson, Rebecca D.

AU - Shadyab, Aladdin H

AU - LaMonte, Michael J

AU - Clish, Clary

AU - Eliassen, A Heather

AU - Sacks, Frank

AU - Willett, Walter C

AU - Hu, Frank B

AU - Rexrode, Kathryn M

AU - Kraft, Peter

N1 - © The Author(s) 2019. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

PY - 2019

Y1 - 2019

N2 - We identified plasma metabolites associated with habitual physical activity among 5,197 US participants from the Nurses' Health Study (NHS), Nurses' Health Study II (NHS II), and the Health Professionals Follow-up Study (HPFS). Physical activity was assessed every 2-4 years via self-report questionnaires. Blood was collected in the NHS in 1989-1990, in NHS II during 1996-1999, and in the HPFS during 1993-1995. Metabolic profiling was conducted by liquid chromatography-mass spectrometry. Our study included 337 known metabolites, with 256 of them classified as lipids. We corrected for multiple testing by controlling the tail probability of the proportion of false positives (TPPFP) and accounted for correlated tests using bootstrapping. Physical activity was significantly associated with 20 metabolites after correction for multiple testing (TPPFP < 0.05), and positive associations were found for most of the metabolites, including 2 amino acids (citrulline and glycine), 4 cholesteryl esters (C18:2, C18:1, C16:0, C18:3), 8 phosphocholines (PCs) (C36:4 PC-A, C34:3 PC plasmalogen, C36:3 PC plasmalogen, C34:2 PC plasmalogen, C36:2 PC) and lysophosphatidylcholines (C18:2, C20:5, C18:1), and 3 phosphatidylethanolamines (PEs) (C38:3 PE plasmalogen) and lysophosphatidylethanolamines (C18:2, C18:1). We independently replicated the 20 metabolites among 2,305 women in the Women's Health Initiative using 1993 data, and half of the metabolites were replicated. Our study may help identify biomarkers of physical activity and provide insight into biological mechanisms underlying the beneficial effect of being physically active on cardiometabolic health.

AB - We identified plasma metabolites associated with habitual physical activity among 5,197 US participants from the Nurses' Health Study (NHS), Nurses' Health Study II (NHS II), and the Health Professionals Follow-up Study (HPFS). Physical activity was assessed every 2-4 years via self-report questionnaires. Blood was collected in the NHS in 1989-1990, in NHS II during 1996-1999, and in the HPFS during 1993-1995. Metabolic profiling was conducted by liquid chromatography-mass spectrometry. Our study included 337 known metabolites, with 256 of them classified as lipids. We corrected for multiple testing by controlling the tail probability of the proportion of false positives (TPPFP) and accounted for correlated tests using bootstrapping. Physical activity was significantly associated with 20 metabolites after correction for multiple testing (TPPFP < 0.05), and positive associations were found for most of the metabolites, including 2 amino acids (citrulline and glycine), 4 cholesteryl esters (C18:2, C18:1, C16:0, C18:3), 8 phosphocholines (PCs) (C36:4 PC-A, C34:3 PC plasmalogen, C36:3 PC plasmalogen, C34:2 PC plasmalogen, C36:2 PC) and lysophosphatidylcholines (C18:2, C20:5, C18:1), and 3 phosphatidylethanolamines (PEs) (C38:3 PE plasmalogen) and lysophosphatidylethanolamines (C18:2, C18:1). We independently replicated the 20 metabolites among 2,305 women in the Women's Health Initiative using 1993 data, and half of the metabolites were replicated. Our study may help identify biomarkers of physical activity and provide insight into biological mechanisms underlying the beneficial effect of being physically active on cardiometabolic health.

KW - Adult

KW - Case-Control Studies

KW - Exercise/physiology

KW - Female

KW - Humans

KW - Lipid Metabolism

KW - Metabolome

KW - Middle Aged

KW - Molecular Epidemiology

U2 - 10.1093/aje/kwz171

DO - 10.1093/aje/kwz171

M3 - Journal article

C2 - 31364705

VL - 188

SP - 1932

EP - 1943

JO - American Journal of Epidemiology

JF - American Journal of Epidemiology

SN - 0002-9262

IS - 11

ER -

ID: 357991892