A Pilot Urinary Proteome Study Reveals Widespread Influences of Circadian Rhythm Disruption by Sleep Deprivation

• Published in: Applied biochemistry and biotechnology Vol. 196; no. 4; pp. 1992 - 2011
• Main Authors: Zhou, Li, Lu, Xinyu, Wang, Xiaoling, Huang, Zhixi, Wu, Yunzhe, Zhou, Liyang, Meng, Liyuan, Fu, Qin, Xia, Li, Meng, Shuang
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.04.2024; Springer Nature B.V
• Subjects: Biochemistry; Biotechnology; Blood pressure; Carrier Proteins; Chemistry; Chemistry and Materials Science; Circadian rhythm; Circadian Rhythm - physiology; Circadian rhythms; diastolic blood pressure; Disruption; Extracellular Matrix Proteins; gene expression regulation; Humans; Machine learning; Mass spectrometry; Mass spectroscopy; Membrane Proteins; Molecular modelling; Organs; Original Article; Proteins; Proteome; Proteomes; Proteomics; Sleep - physiology; Sleep Deprivation; urine; Urinary proteome; DIA; Mass spectrometry; Circadian rhythm disruption; Sleep deprivation
• ISSN: 0273-2289; 1559-0291; 1559-0291
• DOI: 10.1007/s12010-023-04666-9

It is widely accepted that circadian rhythm disruption caused short- or long-term adverse effects on health. Although many previous studies have focused on exploration of the molecular mechanisms, there is no rapid, convenient, and non-invasive method to reveal the influence on health after circadian rhythm disruption. Here, we performed a high-resolution mass spectrometry-based data-independent acquisition (DIA) quantitative urinary proteomic approach in order to explore whether urine could reveal stress changes to those brought about by circadian rhythm disruption after sleep deprivation. After sleep deprivation, the subjects showed a significant increase in both systolic and diastolic blood pressure compared with routine sleep. More than 2000 proteins were quantified and they contained specific proteins for various organs throughout the body. And a total of 177 significantly up-regulated proteins and 68 significantly down-regulated proteins were obtained after sleep deprivation. These differentially expressed proteins (DEPs) were associated with multiple organs and pathways, which reflected widespread influences of sleep deprivation. Besides, machine learning identified a panel of five DEPs (CD300A, SCAMP3, TXN2, EFEMP1, and MYH11) that can effectively discriminate circadian rhythm disruption. Taken together, our results validate the value of urinary proteome in predicting and diagnosing the changes by circadian rhythm disruption.