Circulating Metabolites Associated with Body Fat and Lean Mass in Adults with Overweight/Obesity.

Circulating Metabolites Associated with Body Fat and Lean Mass in Adults with Overweight/Obesity.
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DOI:
10.3390/metabo11050317
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发表时间:
2021-05-13
期刊:
影响因子:
4.1
通讯作者:
Bulló M
Bulló M
中科院分区:
生物学3区
文献类型:
--
作者:
Papandreou C;García-Gavilán J;Camacho-Barcia L;Hansen TT;Sjödin A;Harrold JA;Halford JCG;Bulló M

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人体新陈代谢中脂肪量和瘦肉量之间的相互作用尚不完全清楚。我们的目的是确定与这些身体成分区室相关的特定循环代谢组学特征。对饱腹感创新 (SATIN) 研究中的 236 名超重/肥胖成年人进行了横断面分析。通过双能 X 射线吸收测定法评估身体成分。应用了有针对性的多平台代谢物分析方法。使用弹性网络回归分析评估 168 种循环代谢物与身体成分测量值之间的关联。使用 10 倍交叉验证方法评估多代谢物加权模型的准确性,并估计代谢组谱和身体区室之间的皮尔逊相关系数。选择了两种不同的曲线,包括 86 和 65 种代谢物来表示体脂百分比和瘦体重。这些代谢物主要由脂质(鞘磷脂、磷脂酰胆碱、溶血磷脂酰胆碱)、酰基肉碱和氨基酸组成。这些身体成分测量值之间有几种代谢物重叠,但没有一个朝同一方向。代谢组学特征与体脂百分比或瘦体重之间的 Pearson 相关系数分别为 0.80 和 0.79。我们的研究结果表明,随着肥胖的增加和去脂体重的减少,脂质代谢、脂肪酸氧化和蛋白质降解发生了变化。这些发现可以帮助我们更好地了解身体成分区室与人体代谢过程之间的相互作用。
The interplay between fat mass and lean mass within human metabolism is not completely understood. We aimed to identify specific circulating metabolomic profiles associated with these body composition compartments. Cross-sectional analyses were conducted over 236 adults with overweight/obesity from the Satiety Innovation (SATIN) study. Body composition was assessed by dual-energy X-ray absorptiometry. A targeted multiplatform metabolite profiling approach was applied. Associations between 168 circulating metabolites and the body composition measures were assessed using elastic net regression analyses. The accuracy of the multimetabolite weighted models was evaluated using a 10-fold cross-validation approach and the Pearson’s correlation coefficients between metabolomic profiles and body compartments were estimated. Two different profiles including 86 and 65 metabolites were selected for % body fat and lean mass. These metabolites mainly consisted of lipids (sphingomyelins, phosphatidylcholines, lysophosphatidylcholines), acylcarnitines, and amino acids. Several metabolites overlapped between these body composition measures but none of them towards the same direction. The Pearson correlation coefficients between the metabolomic profiles and % body fat or lean mass were 0.80 and 0.79, respectively. Our findings suggest alterations in lipid metabolism, fatty acid oxidation, and protein degradation with increased adiposity and decreased lean body mass. These findings could help us to better understand the interplay between body composition compartments with human metabolic processes.
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