Body fat free mass is associated with the serum metabolite profile in a population-based study.
Body fat free mass is associated with the serum metabolite profile in a population-based study.
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DOI：
10.1371/journal.pone.0040009
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发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
Linseisen J
中科院分区：
文献类型：
--
作者：
Jourdan C;Petersen AK;Gieger C;Döring A;Illig T;Wang-Sattler R;Meisinger C;Peters A;Adamski J;Prehn C;Suhre K;Altmaier E;Kastenmüller G;Römisch-Margl W;Theis FJ;Krumsiek J;Wichmann HE;Linseisen J
确定去脂质量对KORA（奥格斯堡地区合作健康研究）S4研究受试者血清样本中代谢产物谱的影响。分析基于S4的965名参与者和其7年随访研究（KORA F4）的890名体重稳定受试者的代谢产物谱。在靶向方法中定量了190种不同的血清代谢物，包括氨基酸、酰基肉毒碱、磷脂酰胆碱（PC）、鞘磷脂和己糖。使用调整的线性回归模型分析代谢物浓度与去脂质量指数（FFMI）之间的相关性。为了得出酶促反应的结论，探索了代谢物内的类别比。研究了代谢物之间的成对关系，并通过高斯图形模型（GGM）进行了说明。我们在KORA S4中发现了339种FFMI与各种代谢物之间的显著相关性。在与较高FFMI最显著的关联（p值4.75×10−16-8.95×10−06）中，支链氨基酸（BCAAs）浓度、BCAAs与生糖氨基酸的比例和肉毒碱浓度增加。对于各种PC，可以观察到随着FFMI的增加，脂肪酸部分的链长或饱和度降低，以及从酰基-烷基PC到二酰基PC的总体转变。这些结果在KORA F4中重现。已建立的GGM支持回归结果，并提供了代谢物之间关系的全面描述。在亚组分析中，与非肥胖受试者相比，肥胖受试者中大多数发现的相关性不存在，这可能表明骨骼肌代谢紊乱。鉴定了一组与FFMI强烈相关的血清代谢物，并建立了解释代谢物之间关系的网络。这些结果在数据驱动的网络中提供了FFMI对血清代谢物影响的新的和更完整的图片。
To characterise the influence of the fat free mass on the metabolite profile in serum samples from participants of the population-based KORA (Cooperative Health Research in the Region of Augsburg) S4 study. Analyses were based on metabolite profile from 965 participants of the S4 and 890 weight-stable subjects of its seven-year follow-up study (KORA F4). 190 different serum metabolites were quantified in a targeted approach including amino acids, acylcarnitines, phosphatidylcholines (PCs), sphingomyelins and hexose. Associations between metabolite concentrations and the fat free mass index (FFMI) were analysed using adjusted linear regression models. To draw conclusions on enzymatic reactions, intra-metabolite class ratios were explored. Pairwise relationships among metabolites were investigated and illustrated by means of Gaussian graphical models (GGMs). We found 339 significant associations between FFMI and various metabolites in KORA S4. Among the most prominent associations (p-values 4.75×10−16–8.95×10−06) with higher FFMI were increasing concentrations of the branched chained amino acids (BCAAs), ratios of BCAAs to glucogenic amino acids, and carnitine concentrations. For various PCs, a decrease in chain length or in saturation of the fatty acid moieties could be observed with increasing FFMI, as well as an overall shift from acyl-alkyl PCs to diacyl PCs. These findings were reproduced in KORA F4. The established GGMs supported the regression results and provided a comprehensive picture of the relationships between metabolites. In a sub-analysis, most of the discovered associations did not exist in obese subjects in contrast to non-obese subjects, possibly indicating derangements in skeletal muscle metabolism. A set of serum metabolites strongly associated with FFMI was identified and a network explaining the relationships among metabolites was established. These results offer a novel and more complete picture of the FFMI effects on serum metabolites in a data-driven network.
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影响因子：
--
作者：
Krumsiek J;Suhre K;Illig T;Adamski J;Theis FJ
通讯作者：
Theis FJ
影响因子：
3.7
作者：
Wang-Sattler, Rui;Yu, Yao;Mittelstrass, Kirstin;Lattka, Eva;Altmaier, Elisabeth;Gieger, Christian;Ladwig, Karl H.;Dahmen, Norbert;Weinberger, Klaus M.;Hao, Pei;Liu, Lei;Li, Yixue;Wichmann, H. -Erich;Adamski, Jerzy;Suhre, Karsten;Illig, Thomas
通讯作者：
Illig, Thomas
影响因子：
30.8
作者：
通讯作者：
--
影响因子：
2.8
作者：
Pedersen, Bente Klarlund
通讯作者：
Pedersen, Bente Klarlund
影响因子：
4.2
作者：
Layman, DK
通讯作者：
Layman, DK