Affiliation:
1. MRC Integrative Epidemiology Unit Population Health Sciences University of Bristol United Kingdom
2. National Institute for Health Research Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol Bristol United Kingdom
3. Institute of Cardiovascular and Medical Science University of Glasgow United Kingdom
4. Institute of Cardiovascular Science University College London London United Kingdom
Abstract
Background
We aimed to quantify the role of the plasma metabolic profile in explaining the effect of adiposity on cardiac structure.
Methods and Results
Body mass index (BMI) was measured at age 11 in the Avon Longitudinal Study of Parents and Children. Left ventricular mass indexed to height
2.7
(LVMI) was assessed by echocardiography at age 17. The metabolic profile was quantified via
1
H‐nuclear magnetic resonance spectroscopy at age 15. Multivariable confounder (maternal age, parity, highest qualification, maternal smoking, prepregnancy BMI, prepregnancy height, household social class, adolescent birthweight, adolescent smoking, fruit and vegetable consumption, and physical activity)–adjusted linear regression estimated the association of BMI with LVMI and mediation by metabolic traits. We considered 156 metabolomic traits individually and jointly as principal components explaining 95% of the variance in the nuclear magnetic resonance platform and assessed whether the principal components for the metabolic traits added to the proportion of the association explained by putative cardiovascular risk factors (systolic and diastolic blood pressures, insulin, triglycerides, low‐density lipoprotein cholesterol, and glucose). A 1 kg/m
2
higher BMI was associated with a 0.70 g/m
2.7
(95% CI, 0.53–0.88 g/m
2.7
) and 0.66 g/m
2.7
(95% CI, 0.53–0.79 g/m
2.7
) higher LVMI in males (n=437) and females (n=536), respectively. Putative risk factors explained 3% (95% CI, 2%–5%) of this association in males, increasing to 10% (95% CI, 8%–13%) when including metabolic principal components. In females, the standard risk factors explained 3% (95% CI, 2%–5%) of the association and did not increase when including the metabolic principal components.
Conclusions
The addition of the nuclear magnetic resonance‐measured metabolic traits appears to mediate more of the association of BMI on LVMI than the putative risk factors alone in adolescent males, but not females.
Publisher
Ovid Technologies (Wolters Kluwer Health)
Subject
Cardiology and Cardiovascular Medicine
Cited by
3 articles.
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