Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Bethesda, MD, 20850, USA.
Department of Health and Human Physiology, College of Liberal Arts and Sciences, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA.
Metabolomics. 2019 Mar 16;15(4):48. doi: 10.1007/s11306-019-1472-y.
Sleep is increasingly being viewed as an issue of public health concern, yet few epidemiologic studies have explored associations between sleep habits and metabolomic profile.
To assess the association between sleep and blood metabolites.
We examined the association between sleep and 891 fasting plasma metabolites in a subgroup of 106 participants from the Dietary Approaches to Stop Hypertension (DASH)-Sodium feeding trial (1997-1999). We produced two sleep variables to analyze, sleep midpoint (median time between bedtime and waketime) and sleep duration, as well as bedtime and wake time. Metabolites were measured using liquid and gas chromatography, coupled with mass spectrometry. We assessed associations between sleep variables and log transformed metabolites using linear mixed-effects models. We combined the resulting p-values using Fisher's method to calculate associations between sleep and 38 metabolic pathways.
Sixteen pathways were associated (p < 0.05) with midpoint. Only the γ-glutamyl amino acid metabolism pathway reached Bonferroni-corrected threshold (0.0013). Eighty-three metabolites were associated with midpoint (FDR < 0.20). Similar associations were found for wake time. Neither bed time nor duration were strongly associated. The top metabolites (pathways given in brackets) associated with sleep were erythrulose (advanced glycation end-product) (positive association) and several γ-glutamyl pathway metabolites, including CMPF (fatty acid, dicarboxylate), isovalerate (valine, leucine and isoleucine and fatty acid metabolism) and HWESASXX (polypeptide) (inverse association).
Within our study, several metabolites that have previously been linked to inflammation and oxidative stress (processes involved in diseases such as cardiovascular disease and cancer) were found to be associated with sleep.
睡眠越来越被视为公共健康关注的问题，但很少有流行病学研究探讨睡眠习惯与代谢组学特征之间的关系。
评估睡眠与血液代谢物之间的关联。
我们在膳食方法停止高血压（DASH）-钠喂养试验（1997-1999 年）的 106 名参与者的亚组中检查了睡眠与 891 种空腹血浆代谢物之间的关系。我们产生了两个睡眠变量来分析，睡眠中点（睡眠时间和醒来时间之间的中位数时间）和睡眠时间，以及就寝时间和醒来时间。使用液相和气相色谱法，结合质谱法测量代谢物。我们使用线性混合效应模型评估睡眠变量与对数转换代谢物之间的关联。我们使用 Fisher 方法组合得到的 p 值，以计算睡眠与 38 种代谢途径之间的关联。
有 16 条途径与中点有关（p<0.05）。只有γ-谷氨酰氨基酸代谢途径达到了 Bonferroni 校正的阈值（0.0013）。有 83 种代谢物与中点有关（FDR<0.20）。醒来时间也存在类似的关联。睡眠时间和睡眠时间都没有强烈关联。与睡眠最相关的前几种代谢物（括号中给出的途径）是赤藓酮糖（糖基化终产物）（正相关）和几种γ-谷氨酰途径代谢物，包括 CMPF（脂肪酸、二羧酸）、异戊酸（缬氨酸、亮氨酸和异亮氨酸和脂肪酸代谢）和 HWESASXX（多肽）（负相关）。
在我们的研究中，一些以前与炎症和氧化应激（涉及心血管疾病和癌症等疾病的过程）相关的代谢物与睡眠有关。
