UCD Institute of Food and health, School of Agriculture and Food Science, University College Dublin, Belfield Dublin 4, Ireland.
School of Public Health, Physiotherapy and Sports Science, University College Dublin, Belfield Dublin 4, Ireland.
J Proteome Res. 2021 Aug 6;20(8):3992-4000. doi: 10.1021/acs.jproteome.1c00319. Epub 2021 Jul 25.
Genes, sex, age, diet, lifestyle, gut microbiome, and multiple other factors affect human metabolomic profiles. Understanding metabolomic variation is critical in human nutrition research as metabolites that are sensitive to change versus those that are more stable might be more informative for a particular study design. This study aims to identify stable metabolomic regions and determine the genetic and environmental contributions to stability. Using a classic twin design, H nuclear magnetic resonance (NMR) urinary metabolomic profiles were measured in 128 twins at baseline, 1 month, and 2 months. Multivariate mixed models identified stable urinary metabolites with intraclass correlation coefficients ≥0.51. Longitudinal twin modeling measured the contribution of genetic and environmental influences to variation in the stable urinary NMR metabolome, comprising stable metabolites. The conservation of an individual's stable urinary NMR metabolome over time was assessed by calculating conservation indices. In this study, 20% of the urinary NMR metabolome is stable over 2 months (intraclass correlation (ICC) 0.51-0.65). Common genetic and shared environmental factors contributed to variance in the stable urinary NMR metabolome over time. Using the stable metabolome, 91% of individuals had good metabolomic conservation indices ≥0.70. To conclude, this research identifies 20% of the urinary NMR metabolome as stable, improves our knowledge of the sources of metabolomic variation over time, and demonstrates the conservation of an individual's urinary NMR metabolome.
基因、性别、年龄、饮食、生活方式、肠道微生物群以及许多其他因素都会影响人类代谢组学特征。了解代谢组学的变化在人类营养研究中至关重要，因为对变化敏感的代谢物与那些更稳定的代谢物相比，对于特定的研究设计可能更有信息价值。本研究旨在确定稳定的代谢组区域，并确定遗传和环境对稳定性的贡献。使用经典的双胞胎设计，在基线、1 个月和 2 个月时测量了 128 对双胞胎的 H 核磁共振（NMR）尿液代谢组谱。多变量混合模型确定了内类相关系数≥0.51 的稳定尿液代谢物。纵向双胞胎模型测量了遗传和环境因素对稳定尿液 NMR 代谢组（包括稳定代谢物）变化的贡献。通过计算保守指数来评估个体稳定尿液 NMR 代谢组随时间的变化。在这项研究中，20%的尿液 NMR 代谢组在 2 个月内是稳定的（内类相关（ICC）0.51-0.65）。常见的遗传和共同的环境因素导致了稳定尿液 NMR 代谢组随时间的变化。使用稳定的代谢组，91%的个体具有良好的代谢组保守指数≥0.70。总之，这项研究确定了 20%的尿液 NMR 代谢组是稳定的，提高了我们对代谢组随时间变化的来源的认识，并证明了个体尿液 NMR 代谢组的保守性。
