Merz Benedikt, Nöthlings Ute, Wahl Simone, Haftenberger Marjolein, Schienkiewitz Anja, Adamski Jerzy, Suhre Karsten, Wang-Sattler Rui, Grallert Harald, Thorand Barbara, Pischon Tobias, Bachlechner Ursula, Floegel Anna, Peters Annette, Boeing Heiner
Department of Nutrition and Food Sciences, University of Bonn, Bonn, Germany.
Department of Epidemiology, German Institute of Human Nutrition, Potsdam-Rehbruecke, Germany.
PLoS One. 2016 Jun 20;11(6):e0157733. doi: 10.1371/journal.pone.0157733. eCollection 2016.
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.
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 AbsoluteIDQ® 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.
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.
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.
我们的研究旨在确定与腹部(通过腰围测量)或外周(通过臀围测量)体脂增加相关的代谢标志物。
分析了来自三项基于人群的德国前瞻性队列研究(EPIC、KORA、DEGS)的4126名体重增加成年人(18 - 75岁)的数据,以确定腰围增加(WG)或臀围增加(HG)的表型。通过计算腰围减去臀围的年度变化差异来获得这些表型。展示了所有队列的差异情况。该差异的最高10%被定义为WG,而最低10%被定义为HG。在EPIC和KORA研究中,使用Biocrates AbsoluteIDQ®试剂盒进行了总共121种代谢物的测量。计算了性别特异性的代谢物浓度与表型之间的关联,将代谢物浓度作为自变量,表型作为因变量,并对混杂因素进行了校正。采用Benjamini - Hochberg方法对多重检验进行校正。
在各项研究中,男女平均腰围增加均多于臀围增加。我们可以确定12种代谢物与男性的WG(n = 8)或HG(n = 4)相关,但在多重检验校正后均无显著意义;45种代谢物与女性的WG(n = 41)或HG(n = 4)相关。对于WG,在多重检验校正后,n = 21种代谢物仍具有显著性。色氨酸、二酰基磷脂酰胆碱(PC)C32:3、C36:0、C38:0、C38:1、C42:2、C42:5、酰基烷基 - PC 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和溶血磷脂酰胆碱C17:0的相应优势比(OR)范围为0.66至0.73。
体重增加的男性和女性均表现出明显的腹部脂肪增加多于外周脂肪的趋势。腹部脂肪增加似乎与特定代谢物低浓度所反映的初始代谢状态有关,至少在女性中如此。因此,较高水平的特定PCs可能在腰围增加方面起到保护作用。