Wei Jiahe, Wu Hanzhang, Zheng Ying, Weng Bingtao, Xiao Yao, Benedict Christian, Wang Ningjian, Luo Xiang-Hang, Tan Xiao
Department of Big Data in Health Science, Zhejiang University School of Public Health and Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, China.
J Pineal Res. 2025 Jul;77(4):e70067. doi: 10.1111/jpi.70067.
Rest-activity rhythm and sleep may serve as potential intervention targets for a variety of diseases. However, the underlying biological mechanisms of rest-activity rhythm, sleep, and their proteomic associations with multiple diseases remain largely unexplored. Here, using data from approximately 10 000 participants in the UK Biobank with accelerometer-derived measures and proteomics profiles, we characterized the proteomic signatures of rest-activity and sleep and explored their associations with health outcomes. We found that the proteins associated with rest-activity and sleep were mainly enriched in inflammation, immune response and complement system. Most rest-activity and sleep measures, along with their associated proteomic signatures, were significantly associated with incident diabetes, cardiovascular disease, chronic kidney disease, respiratory diseases, and extended life expectancy. Several proteins, such as ADM and CA14, were observed to mediate multiple associations across distinct rest-activity and sleep measures. The impact of rest-activity and sleep measures on chronic diseases and mortality may be mediated through diverse biological pathways involving multiple proteins. These findings reveal potential mechanisms underlying these complex relationships and provide novel insights for the development of targeted intervention strategies.
静息-活动节律和睡眠可能是多种疾病潜在的干预靶点。然而,静息-活动节律、睡眠及其与多种疾病的蛋白质组学关联的潜在生物学机制在很大程度上仍未得到探索。在此,我们利用英国生物银行中约10000名参与者的加速度计测量数据和蛋白质组学图谱,对静息-活动和睡眠的蛋白质组学特征进行了表征,并探索了它们与健康结果的关联。我们发现,与静息-活动和睡眠相关的蛋白质主要富集于炎症、免疫反应和补体系统。大多数静息-活动和睡眠指标及其相关的蛋白质组学特征与糖尿病、心血管疾病、慢性肾病、呼吸系统疾病的发病以及预期寿命延长显著相关。观察到几种蛋白质,如ADM和CA14,介导了不同静息-活动和睡眠指标之间的多种关联。静息-活动和睡眠指标对慢性疾病和死亡率的影响可能通过涉及多种蛋白质的不同生物学途径介导。这些发现揭示了这些复杂关系背后的潜在机制,并为制定有针对性的干预策略提供了新的见解。