Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden.
Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
J Sleep Res. 2021 Oct;30(5):e13284. doi: 10.1111/jsr.13284. Epub 2021 Mar 9.
Sleep problems and short sleep duration have been linked to adverse health effects, such as cardiovascular disease and diabetes, but the mechanisms are not fully understood. Finding biomarkers could explain mechanistic pathways and help in understanding relationships between sleep and cardiometabolic health. The aim was to assess if sleep duration and sleep quality affect the cardiometabolic-related protein profile. In total, 242 proteins related to cardiometabolic health were measured in 2,430 plasma samples (male:female ratio 1:1, aged 45-75 years) from the population-based EpiHealth cohort, using a proximity extension assay. The association of self-reported sleep duration and sleep quality with each of the 242 proteins (primary outcome) was assessed with linear regression modelling, adjusting for confounders, and corrected for multiple testing using the false discovery rate (5%). Potential effect modification of age and sex was also tested using an interaction term. We identified U-shaped associations between sleep duration and the plasma levels of the proteins follistatin (more prominent in younger individuals), matrix metallopeptidase 9 (men only), urokinase receptor, adrenomedullin and kidney injury molecule, all previously known to be related to cardiovascular risk. There was no relationship between sleep quality and any of the proteins, after adjustment for confounders. These results give new leads to investigate the potential mechanistic pathways between sleep and cardiometabolic health.
睡眠问题和睡眠时间短与不良健康影响有关，如心血管疾病和糖尿病，但机制尚不完全清楚。寻找生物标志物可以解释机制途径，并有助于理解睡眠与心脏代谢健康之间的关系。本研究旨在评估睡眠时间和睡眠质量是否会影响与心脏代谢相关的蛋白质谱。在这项基于人群的 EpiHealth 队列研究中，使用邻近延伸分析检测了 2430 份血浆样本（男女比例为 1:1，年龄 45-75 岁）中与心脏代谢健康相关的 242 种蛋白质。使用线性回归模型评估了自我报告的睡眠时间和睡眠质量与 242 种蛋白质中的每一种（主要结果）的关联，调整了混杂因素，并使用错误发现率（5%）进行了多次检验校正。还使用交互项测试了年龄和性别是否存在潜在的修饰效应。我们发现，睡眠时间与 follistatin 等蛋白质（在年轻个体中更为明显）、基质金属蛋白酶 9（仅男性）、尿激酶受体、肾上腺髓质素和肾脏损伤分子的血浆水平之间存在 U 形关联，这些蛋白质以前都与心血管风险有关。在调整混杂因素后，睡眠质量与任何蛋白质之间均无关联。这些结果为研究睡眠与心脏代谢健康之间的潜在机制途径提供了新的线索。
