Diurnal variation of metabolites in three individual participants
Diurnal variation of metabolites in three individual participants
复制标题
DOI：
10.1080/07420528.2018.1541901
复制
发表时间：
2019-01-01
影响因子：
2.8
通讯作者：
Caporaso, Neil E.
中科院分区：
文献类型：
--
作者：
Gu, Fangyi;Klerman, Elizabeth B.;Caporaso, Neil E.
昼夜节律系统几乎影响所有生物功能。了解昼夜节律变化对新陈代谢的影响可以深入了解昼夜节律相关疾病的机制，并指导时间疗法的实施。先前的研究报告称，人类血液中 7-20% 的代谢物存在昼夜节律变化。在这项研究中，使用两名健康男性和一名健康女性的血液测量了非目标代谢组学特征，在严格控制的条件下每 2 小时收集一次，持续长达 48 小时。使用一阶和二阶谐波模型分别检查每个参与者随时间的每种代谢物的变化模式。代表所有代谢物类别的 663 种代谢物中总共有 100 种显示出超过 Bonferroni 阈值的昼夜节律浓度 (P < 2.5 x 10(-5))。总体而言，许多代谢物的峰值时间集中在下午至午夜，包括大多数氨基酸、所有肽、所有溶血脂和所有磷脂，而大多数类固醇在早上达到峰值。我们观察到这三个受试者的峰值时间和振幅存在显着的个体间差异。总之，代表广泛生物途径的至少 15% 的血液代谢物在三名参与者中表现出昼夜变化。大多数这些代谢物的平均峰值时间集中在早上或下午至午夜。需要进一步的工作来在更多个体中验证和扩展这项工作。
The circadian system influences virtually all biological functions. Understanding the impact of circadian variation on metabolism may provide insight into mechanisms of circadian-associated disorders and guide the implementation of chrono-therapy. Previous research has reported circadian variation in 7-20% of metabolites in human blood. In this study, untargeted metabolomics profiles were measured using blood of two healthy men and one healthy woman, collected every 2 h for up to 48 h under carefully controlled conditions. The pattern of variation of each metabolite over time was examined on each participant separately, using both one- and two-order harmonic models. A total of 100 of 663 metabolites, representing all metabolite categories, showed diurnal rhythmic concentrations that exceeded the Bonferroni threshold (P < 2.5 x 10(-5)). Overall, peak times of many metabolites were clustered during the afternoon-midnight, including the majority of amino acids, all peptides, all lysolipids and all phospholipids, whereas the majority of steroids peaked in the morning. We observed substantial inter-individual variation for both peak times and amplitudes in these three subjects. In conclusion, at least 15% of blood metabolites, representing a broad group of biological pathways, exhibit diurnal variation in three participants. The average peak times of most of these metabolites are clustered in morning or afternoon-midnight. Further work is needed to validate and extend this work in more individuals.