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短期人类血清代谢组学的变化取决于营养和代谢健康状况。

Short-term variability of the human serum metabolome depending on nutritional and metabolic health status.

机构信息

Sanofi Research and Development, Frankfurt, Germany.

Nuvisan GmbH, Neu-Ulm, Germany.

出版信息

Sci Rep. 2020 Oct 1;10(1):16310. doi: 10.1038/s41598-020-72914-7.

DOI:10.1038/s41598-020-72914-7
PMID:33004816
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7530737/
Abstract

The intra-individual variability of the human serum metabolome over a period of 4 weeks and its dependence on metabolic health and nutritional status was investigated in a single-center study under tightly controlled conditions in healthy controls, pre-diabetic individuals and patients with type-2 diabetes mellitus (T2DM, n = 10 each). Untargeted metabolomics in serum samples taken at three different days after overnight fasts and following intake of a standardized mixed meal showed that the human serum metabolome is remarkably stable: The median intra-class correlation coefficient (ICC) across all metabolites and all study participants was determined as 0.65. ICCs were similar for the three different health groups, before and after meal intake, and for different metabolic pathways. Only 147 out of 1438 metabolites (10%) had an ICC below 0.4 indicating poor stability over time. In addition, we confirmed previously identified metabolic signatures differentiating healthy, pre-diabetic and diabetic individuals. To our knowledge, this is the most comprehensive study investigating the temporal variability of the human serum metabolome under such tightly controlled conditions.

摘要

在一项单中心研究中，我们在严格控制的条件下，调查了健康对照者、糖尿病前期个体和 2 型糖尿病患者（T2DM，每组各 10 人）在 4 周内个体血清代谢组的个体内变异性及其对代谢健康和营养状况的依赖性。在空腹过夜后和摄入标准化混合餐后的三天内采集的血清样本中进行非靶向代谢组学分析表明，人体血清代谢组非常稳定：所有代谢物和所有研究参与者的中位数组内相关系数（ICC）确定为 0.65。在不同的健康组、餐前和餐后，以及不同的代谢途径中，ICC 相似。只有 147 种代谢物（10%）的 ICC 低于 0.4，表明随着时间的推移稳定性较差。此外，我们还证实了先前确定的区分健康、糖尿病前期和糖尿病个体的代谢特征。据我们所知，这是在如此严格控制的条件下对人体血清代谢组的时间变异性进行的最全面研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9408/7530737/8ae535b9fb5b/41598_2020_72914_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9408/7530737/1d134693f8fa/41598_2020_72914_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9408/7530737/d8859550ff1e/41598_2020_72914_Fig2_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9408/7530737/f5eda2ad1d01/41598_2020_72914_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9408/7530737/8cf0f6b3a684/41598_2020_72914_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9408/7530737/5520e132bc72/41598_2020_72914_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9408/7530737/0127a163c802/41598_2020_72914_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9408/7530737/4a966700cfe9/41598_2020_72914_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9408/7530737/8ae535b9fb5b/41598_2020_72914_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9408/7530737/1d134693f8fa/41598_2020_72914_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9408/7530737/d8859550ff1e/41598_2020_72914_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9408/7530737/aeeca82245c8/41598_2020_72914_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9408/7530737/f5eda2ad1d01/41598_2020_72914_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9408/7530737/8cf0f6b3a684/41598_2020_72914_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9408/7530737/5520e132bc72/41598_2020_72914_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9408/7530737/0127a163c802/41598_2020_72914_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9408/7530737/4a966700cfe9/41598_2020_72914_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9408/7530737/8ae535b9fb5b/41598_2020_72914_Fig9_HTML.jpg

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