Long-term Leisure-time Physical Activity and Serum Metabolome

Author:

Kujala Urho M.1,Mäkinen Ville-Petteri1,Heinonen Ilkka1,Soininen Pasi1,Kangas Antti J.1,Leskinen Tuija H.1,Rahkila Paavo1,Würtz Peter1,Kovanen Vuokko1,Cheng Sulin1,Sipilä Sarianna1,Hirvensalo Mirja1,Telama Risto1,Tammelin Tuija1,Savolainen Markku J.1,Pouta Anneli1,O’Reilly Paul F.1,Mäntyselkä Pekka1,Viikari Jorma1,Kähönen Mika1,Lehtimäki Terho1,Elliott Paul1,Vanhala Mauno J.1,Raitakari Olli T.1,Järvelin Marjo-Riitta1,Kaprio Jaakko1,Kainulainen Heikki1,Ala-Korpela Mika1

Affiliation:

1. From the Department of Health Sciences (U.M.K., T.H.L., P.R., V.K., S.C., S.S.), Department of Biology of Physical Activity (P.R., H.K.), and Department of Sport Sciences (M.H., R.T.), University of Jyväskylä, Jyväskylä, Finland; Computational Medicine (V.-P.M., P.S., A.J.K., P.W., M.J.S., M.A.-K.), Biocenter Oulu (V.-P.M., M.J.S., M.-R.J.), Department of Internal Medicine, Clinical Research Center (M.J.S.), Department of Obstetrics and Gynecology (A.P.), and Institute of Health Sciences (M.-R.J.),...

Abstract

Background— Long-term physical inactivity seems to cause many health problems. We studied whether persistent physical activity compared with inactivity has a global effect on serum metabolome toward reduced cardiometabolic disease risk. Methods and Results— Sixteen same-sex twin pairs (mean age, 60 years) were selected from a cohort of twin pairs on the basis of their >30-year discordance for physical activity. Persistently (≥5 years) active and inactive groups in 3 population-based cohorts (mean ages, 31–52 years) were also studied (1037 age- and sex-matched pairs). Serum metabolome was quantified by nuclear magnetic resonance spectroscopy. We used permutation analysis to estimate the significance of the multivariate effect combined across all metabolic measures; univariate effects were estimated by paired testing in twins and in matched pairs in the cohorts, and by meta-analysis over all substudies. Persistent physical activity was associated with the multivariate metabolic profile in the twins ( P =0.003), and a similar pattern was observed in all 3 population cohorts with differing mean ages. Isoleucine, α1-acid glycoprotein, and glucose were lower in the physically active than in the inactive individuals ( P <0.001 in meta-analysis); serum fatty acid composition was shifted toward a less saturated profile; and lipoprotein subclasses were shifted toward lower very-low-density lipoprotein ( P <0.001) and higher large and very large high-density lipoprotein ( P <0.001) particle concentrations. The findings persisted after adjustment for body mass index. Conclusions— The numerous differences found between persistently physically active and inactive individuals in the circulating metabolome together indicate better metabolic health in the physically active than in inactive individuals.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

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