Sørensen Charlotte, Dudka Ilona, Virel Ana, Kåreholt Ingemar, Balter Leonie Jt, Axelsson John, Kalpouzos Grégoria, Sindi Shireen
Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Department of Chemistry, Umeå University, Umeå, Sweden.
Brain Behav Immun Health. 2025 Jul 4;48:101050. doi: 10.1016/j.bbih.2025.101050. eCollection 2025 Oct.
Short and long sleep duration as well as poor sleep quality have been linked to higher prevalence of metabolic disorders. However, it is still unclear how diverse sleep variables relate to different metabolic pathways. This study examines how different features of sleep health relate to serum metabolites.
The study used data from 197 healthy individuals aged 20-79 (Females n = 103) from the IronAge study performed at Karolinska Institutet in Sweden. Sleep variables were assessed with the Karolinska Sleep Questionnaire, where the following variables were computed: sleep duration, sleep debt, midpoint, social jetlag (i.e., the discrepancy between midpoint on free and workdays), napping frequency and sleep quality. Morning fasting blood samples were collected and H NMR spectroscopy was utilized for metabolomic analysis. The metabolites were categorized according to their major metabolic pathways: amino acid, lipid, carbohydrate, energy and gut microbiota. Linear regressions were performed to examine the relationship between each sleep variable and metabolite.
Sleep duration, midpoint of sleep on free days, social jetlag and chronotype associated with eight metabolites at a significance level of . Notably, midpoint associated with most metabolites spanning multiple pathways. A later midpoint was associated with higher levels of metabolites in the lipid pathway, and lower levels in the amino acid and energy pathway.
These observations indicate that sleep timing features, and have a stronger relationship with morning metabolism than other sleep health dimensions. Following replication in larger samples, these complex relationships may hold potential for health promotion.
短睡眠时长和长睡眠时长以及睡眠质量差都与代谢紊乱的较高患病率相关。然而，目前仍不清楚不同的睡眠变量如何与不同的代谢途径相关。本研究探讨睡眠健康的不同特征如何与血清代谢物相关。
该研究使用了来自瑞典卡罗林斯卡学院进行的铁器时代研究中的197名年龄在20 - 79岁之间的健康个体（女性n = 103）的数据。使用卡罗林斯卡睡眠问卷评估睡眠变量，计算以下变量：睡眠时间、睡眠债、中点时间、社会时差（即休息日和工作日中点时间之间的差异）、小睡频率和睡眠质量。采集早晨空腹血样，并利用核磁共振波谱进行代谢组学分析。代谢物根据其主要代谢途径进行分类：氨基酸、脂质、碳水化合物、能量和肠道微生物群。进行线性回归以检验每个睡眠变量与代谢物之间的关系。
睡眠时间、休息日睡眠中点时间、社会时差和昼夜节律类型与8种代谢物在显著水平相关。值得注意的是，中点时间与跨越多个途径的大多数代谢物相关。较晚的中点时间与脂质途径中较高水平的代谢物相关，而与氨基酸和能量途径中较低水平的代谢物相关。
这些观察结果表明，睡眠时间特征与早晨新陈代谢的关系比其他睡眠健康维度更强。在更大样本中进行重复验证后，这些复杂关系可能具有促进健康的潜力。
