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Body Composition and Metabolomics in the Alberta Physical Activity and Breast Cancer Prevention Trial.

Authors :
McClain KM
Friedenreich CM
Matthews CE
Sampson JN
Check DP
Brenner DR
Courneya KS
Murphy RA
Moore SC
Source :
The Journal of nutrition [J Nutr] 2022 Feb 08; Vol. 152 (2), pp. 419-428.
Publication Year :
2022

Abstract

Background: Obesity is correlated with many biomarkers, but the extent to which these correlate with underlying body composition is poorly understood.<br />Objectives: Our objectives were to 1) describe/compare distinct contributions of fat/lean mass with BMI-metabolite correlations and 2) identify novel metabolite biomarkers of fat/lean mass.<br />Methods: The Alberta Physical Activity and Breast Cancer Prevention Trial was a 2-center randomized trial of healthy, inactive, postmenopausal women (n = 304). BMI (in kg/m2) was calculated using weight and height, whereas DXA estimated fat/lean mass. Ultra-performance liquid chromatography and mass spectrometry measured relative concentrations of serum metabolite concentrations. We estimated partial Pearson correlations between 1052 metabolites and BMI, adjusting for age, smoking, and site. Fat mass index (FMI; kg/m2) and lean mass index (LMI; kg/m2) correlations were estimated similarly, with mutual adjustment to evaluate independent effects.<br />Results: Using a Bonferroni-corrected α level <4.75 × 10-5,  we observed 53 BMI-correlated metabolites (|r| = 0.24-0.42). Of those, 21 were robustly correlated with FMI (|r| > 0.20), 25 modestly (0.10 ≤ |r| ≤ 0.20), and 7 virtually null (|r| < 0.10). Ten of 53 were more strongly correlated with LMI than with FMI. Examining non-BMI-correlated metabolites, 6 robustly correlated with FMI (|r| = 0.24-0.31) and 2 with LMI (r = 0.25-0.26). For these, correlations for fat and lean mass were in opposing directions compared with BMI-correlated metabolites, in which correlations were mostly in the same direction.<br />Conclusions: Our results demonstrate how a thorough evaluation of the components of fat and lean mass, along with BMI, provides a more accurate assessment of the associations between body composition and metabolites than BMI alone. Such an assessment makes evident that some metabolites correlated with BMI predominantly reflect lean mass rather than fat, and some metabolites related to body composition are not correlated with BMI. Correctly characterizing these relations is important for an accurate understanding of how and why obesity is associated with disease.<br /> (Published by Oxford University Press on behalf of the American Society for Nutrition 2021.)

Details

Language :
English
ISSN :
1541-6100
Volume :
152
Issue :
2
Database :
MEDLINE
Journal :
The Journal of nutrition
Publication Type :
Academic Journal
Accession number :
34791348
Full Text :
https://doi.org/10.1093/jn/nxab388