Rotter Markus, Brandmaier Stefan, Covic Marcela, Burek Katarzyna, Hertel Johannes, Troll Martina, Bader Erik, Adam Jonathan, Prehn Cornelia, Rathkolb Birgit, Hrabe de Angelis Martin, Grabe Hans Jörgen, Daniel Hannelore, Kantermann Thomas, Harth Volker, Illig Thomas, Pallapies Dirk, Behrens Thomas, Brüning Thomas, Adamski Jerzy, Lickert Heiko, Rabstein Sylvia, Wang-Sattler Rui
Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 München-Neuherberg, Germany.
Institute of Epidemiology, Helmholtz Zentrum München, 85764 München-Neuherberg, Germany.
Metabolites. 2018 Aug 21;8(3):45. doi: 10.3390/metabo8030045.
Night shift work can have a serious impact on health. Here, we assess whether and how night shift work influences the metabolite profiles, specifically with respect to different chronotype classes. We have recruited 100 women including 68 nurses working both, day shift and night shifts for up to 5 consecutive days and collected 3640 spontaneous urine samples. About 424 waking-up urine samples were measured using a targeted metabolomics approach. To account for urine dilution, we applied three methods to normalize the metabolite values: creatinine-, osmolality- and regression-based normalization. Based on linear mixed effect models, we found 31 metabolites significantly (false discovery rate <0.05) affected in nurses working in night shifts. One metabolite, acylcarnitine C10:2, was consistently identified with all three normalization methods. We further observed 11 and 4 metabolites significantly associated with night shift in early and late chronotype classes, respectively. Increased levels of medium- and long chain acylcarnitines indicate a strong impairment of the fatty acid oxidation. Our results show that night shift work influences acylcarnitines and BCAAs, particularly in nurses in the early chronotype class. Women with intermediate and late chronotypes appear to be less affected by night shift work.
夜班工作会对健康产生严重影响。在此,我们评估夜班工作是否以及如何影响代谢物谱,特别是针对不同的生物钟类型。我们招募了100名女性,其中包括68名护士,她们连续5天既上白班又上夜班,并收集了3640份自发尿液样本。使用靶向代谢组学方法对约424份晨尿样本进行了检测。为了考虑尿液稀释的影响,我们应用了三种方法对代谢物值进行标准化:基于肌酐、渗透压和回归的标准化。基于线性混合效应模型,我们发现夜班护士中有31种代谢物受到显著影响(错误发现率<0.05)。一种代谢物,酰基肉碱C10:2,在所有三种标准化方法中均被一致鉴定出来。我们进一步观察到,在早起型和晚睡型生物钟类型中,分别有11种和4种代谢物与夜班显著相关。中链和长链酰基肉碱水平的升高表明脂肪酸氧化受到严重损害。我们的结果表明,夜班工作会影响酰基肉碱和支链氨基酸,特别是在早起型生物钟类型的护士中。处于中间型和晚睡型生物钟类型的女性似乎受夜班工作的影响较小。