Specific Metabolic Markers Are Associated with Future Waist-Gaining Phenotype in Women
RESEARCH ARTICLE
Specific Metabolic Markers Are Associated
with Future Waist-Gaining Phenotype in
Women
Benedikt Merz1,10*, Ute Nöthlings1, Simone Wahl2,3,4, Marjolein Haftenberger5,
Anja Schienkiewitz5, Jerzy Adamski6, Karsten Suhre7,8, Rui Wang-Sattler2,
Harald Grallert2,3,4, Barbara Thorand3,4, Tobias Pischon9, Ursula Bachlechner10,
Anna Floegel10, Annette Peters3,4, Heiner Boeing10
a11111
OPEN ACCESS
Citation: Merz B, Nöthlings U, Wahl S, Haftenberger
M, Schienkiewitz A, Adamski J, et al. (2016) Specific
Metabolic Markers Are Associated with Future WaistGaining Phenotype in Women. PLoS ONE 11(6):
e0157733. doi:10.1371/journal.pone.0157733
Editor: Guoying Wang, Johns Hopkins Bloomberg
School of Public Health, UNITED STATES
1 Department of Nutrition and Food Sciences, University of Bonn, Bonn, Germany, 2 Research Unit of
Molecular Epidemiology, Helmholtz Zentrum München – German Research Center for Environmental Health,
Neuherberg, Germany, 3 Institute of Epidemiology II, Helmholtz Zentrum München – German Research
Center for Environmental Health, Neuherberg, Germany, 4 German Center for Diabetes Research (DZD),
Neuherberg, Germany, 5 Robert Koch-Institut, Department of Epidemiology and Health Monitoring, Berlin,
Germany, 6 Institute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München,
German Research Center for Environmental Health, Neuherberg, Germany, 7 Institute of Bioinformatics and
Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health,
Neuherberg, Germany, 8 Department of Physiology and Biophysics, Weill Cornell Medical College in Qatar,
Doha, Qatar, 9 Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine
(MDC), Berlin, Germany, 10 Department of Epidemiology, German Institute of Human Nutrition, PotsdamRehbruecke, Germany
*
Abstract
Received: September 27, 2015
Accepted: June 4, 2016
Published: June 20, 2016
Copyright: © 2016 Merz et al. This is an open
access article distributed under the terms of the
Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any
medium, provided the original author and source are
credited.
Data Availability Statement: For ethical
considerations and legal restrictions the data of
EPIC-Potsdam, DEGS and KORA cannot be made
freely available in a public repository. Data from the
EPIC-Potsdam study may be requested at the
German Institute of Human Nutrition (contributing
author Heiner Boeing). Data from the KORA study
may be requested at the Helmholz Center Munich
(corresponding author Simone Wahl). Data from the
DEGS study may be requested at the Robert KochInstitut (contributing author Marjolein Haftenberger).
Funding: BM, MH and UB were supported by the
“Kompetenznetz Adipositas (Competence Network
Objective
Our study aims to identify metabolic markers associated with either a gain in abdominal
(measured by waist circumference) or peripheral (measured by hip circumference) body fat
mass.
Methods
Data of 4 126 weight-gaining adults (18–75 years) from three population-based, prospective
German cohort studies (EPIC, KORA, DEGS) were analysed regarding a waist-gaining
(WG) or hip-gaining phenotype (HG). The phenotypes were obtained by calculating the differences of annual changes in waist minus hip circumference. The difference was displayed
for all cohorts. The highest 10% of this difference were defined as WG whereas the lowest
10% were defined as HG. A total of 121 concordant metabolite measurements were conducted using Biocrates AbsoluteIDQ1 kits in EPIC and KORA. Sex-specific associations
with metabolite concentration as independent and phenotype as the dependent variable
adjusted for confounders were calculated. The Benjamini-Hochberg method was used to
correct for multiple testing.
PLOS ONE | DOI:10.1371/journal.pone.0157733 June 20, 2016
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Metabolic Determinants of Body Fat Distribution
Obesity)” funded by the Federal Ministry of Education
and Research (FKZ: 01GI1121B) (http://www.
gesundheitsforschung-bmbf.de/de/2042.php). KS is
supported by "Biomedical Research Program" funds
at Weill Cornell Medical College in Qatar, a program
funded by the Qatar Foundation. The KORA research
platform (KORA, Cooperative Research in the Region
of Augsburg) was initiated and financed by the
Helmholtz Zentrum München - German Research
Center for Environmental Health, which is funded by
the German Federal Ministry of Education and
Research and by the State of Bavaria. Furthermore,
KORA research was supported within the Munich
Center of Health Sciences (MC Health), LudwigMaximilians-Universität, as part of LMUinnovativ.
Competing Interests: The authors have declared
that no competing interests exist.
Results
Across studies both sexes gained on average more waist than hip circumference. We could
identify 12 metabolites as being associated with the WG (n = 8) or HG (n = 4) in men, but
none were significant after correction for multiple testing; 45 metabolites were associated
with the WG (n = 41) or HG (n = 4) in women. For WG, n = 21 metabolites remained significant after correction for multiple testing. Respective odds ratios (OR) ranged from 0.66 to
0.73 for tryptophan, the diacyl-phosphatidylcholines (PC) C32:3, C36:0, C38:0, C38:1,
C42:2, C42:5, the acyl-alkyl-PCs C32:2, C34:0, C36:0, C36:1, C36:2, C38:0, C38:2, C40:1,
C40:2, C40:5, C40:6, 42:2, C42:3 and lyso-PC C17:0.
Conclusion
Both weight-gaining men and women showed a clear tendency to gain more abdominal
than peripheral fat. Gain of abdominal fat seems to be related to an initial metabolic state
reflected by low concentrations of specific metabolites, at least in women. Thus, higher levels of specific PCs may play a protective role in gaining waist circumference.
Introduction
Overweight and obesity are major public health problems in Germany. More than two-thirds
of the male and more than half of the female population were classified as overweight in a representative nationwide survey conducted between 2008 and 2011 [1]. Increased fat mass is
associated with the risk of hypertension and an increased risk for type 2 diabetes, cardiovascular disease (CVD) and several types of cancer [2–4]. Body weight gain during adulthood independent of initial adult body mass index (BMI) was reported to be an independent risk factor
for diabetes [5, 6] and is in general accompanied by an increase in total body fat.
The distribution of body fat has been shown to be independently associated with chronic
diseases [7–9] and a distinction should be made between abdominal and gluteofemoral phenotypes. Measurements of waist and hip circumference have been proven useful to assess body fat
distribution [10, 11]. Waist circumference has been shown to be a good measure of visceral adipose tissue and abdominal obesity [12, 13]. Visceral fat, which surrounds the inner organs and
increases with abdominal fat accumulation, is accompanied by unfavourable metabol (...truncated)