Diurnal rhythms in the human urine metabolome during sleep and total sleep deprivation.
Diurnal rhythms in the human urine metabolome during sleep and total sleep deprivation.
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DOI：
10.1038/srep14843
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发表时间：
2015-10-09
影响因子：
4.6
通讯作者：
Skene DJ
中科院分区：
文献类型：
--
作者：
Giskeødegård GF;Davies SK;Revell VL;Keun H;Skene DJ
了解代谢物水平在24小时内的变化对临床和流行病学研究至关重要。此外，睡眠剥夺与代谢紊乱（如糖尿病和肥胖症）之间的联系需要调查睡眠与代谢之间的联系。在这里，我们研究了一天中的时间变化和睡眠剥夺对尿液代谢产物的影响。健康男性参与者（n = 15）完成了一项实验室研究，包括一个24小时的睡眠/觉醒周期之前，24小时的连续清醒，在高度控制的环境条件。在设定的2-8小时间隔内收集尿样，并通过1H NMR光谱法进行分析。在白天和睡眠剥夺的时间方面都观察到了显着的变化。在32种已鉴定的代谢产物中，7种（22%）在至少一个24小时内表现出余弦节律性; 5种在两天内均表现出余弦节律。与睡眠相比，睡眠剥夺期间有8种代谢物显著增加（牛磺酸、甲酸盐、柠檬酸盐、3-吲哚硫酸盐、肉毒碱、3-羟基异丁酸盐、TMAO和乙酸盐），8种代谢物显著降低（二甲胺、4-DTA、肌酐、抗坏血酸盐、2-羟基异丁酸盐、尿囊素、4-DEA、4-羟基苯乙酸盐）。这些数据表明，采样时间，睡眠的存在或不存在和睡眠剥夺的反应是高度相关的，当确定生物标志物在尿代谢谱研究。
Understanding how metabolite levels change over the 24 hour day is of crucial importance for clinical and epidemiological studies. Additionally, the association between sleep deprivation and metabolic disorders such as diabetes and obesity requires investigation into the links between sleep and metabolism. Here, we characterise time-of-day variation and the effects of sleep deprivation on urinary metabolite profiles. Healthy male participants (n = 15) completed an in-laboratory study comprising one 24 h sleep/wake cycle prior to 24 h of continual wakefulness under highly controlled environmental conditions. Urine samples were collected over set 2–8 h intervals and analysed by 1H NMR spectroscopy. Significant changes were observed with respect to both time of day and sleep deprivation. Of 32 identified metabolites, 7 (22%) exhibited cosine rhythmicity over at least one 24 h period; 5 exhibiting a cosine rhythm on both days. Eight metabolites significantly increased during sleep deprivation compared with sleep (taurine, formate, citrate, 3-indoxyl sulfate, carnitine, 3-hydroxyisobutyrate, TMAO and acetate) and 8 significantly decreased (dimethylamine, 4-DTA, creatinine, ascorbate, 2-hydroxyisobutyrate, allantoin, 4-DEA, 4-hydroxyphenylacetate). These data indicate that sampling time, the presence or absence of sleep and the response to sleep deprivation are highly relevant when identifying biomarkers in urinary metabolic profiling studies.