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Circadian protein expression patterns in healthy young adults

昼夜节律 生物 蛋白质表达 表达式(计算机科学) 心理学 发展心理学 生理学 神经科学 遗传学 计算机科学 基因 程序设计语言
作者
A. Specht,German Kolosov,Katie L.J. Cederberg,Flavia Bueno,Arturo Arrona‐Palacios,Enmanuelle Pardilla‐Delgado,Noelia Ruiz Herrera,Kirsi‐Marja Zitting,Achim Kramer,Jamie M. Zeitzer,Charles A. Czeisler,Jeanne F. Duffy,Emmanuel Mignot
出处
期刊:Sleep Health [Elsevier]
卷期号:10 (1): S41-S51 被引量:5
标识
DOI:10.1016/j.sleh.2023.10.005
摘要

To explore how the blood plasma proteome fluctuates across the 24-hour day and identify a subset of proteins that show endogenous circadian rhythmicity. Plasma samples from 17 healthy adults were collected hourly under controlled conditions designed to unmask endogenous circadian rhythmicity; in a subset of 8 participants, we also collected samples across a day on a typical sleep-wake schedule. A total of 6916 proteins were analyzed from each sample using the SomaScan aptamer-based multiplexed platform. We used differential rhythmicity analysis based on a cosinor model with mixed effects to identify a subset of proteins that showed circadian rhythmicity in their abundance. One thousand and sixty-three (15%) proteins exhibited significant daily rhythmicity. Of those, 431 (6.2%) proteins displayed consistent endogenous circadian rhythms on both a sleep-wake schedule and under controlled conditions: it included both known and novel proteins. When models were fitted with two harmonics, an additional 259 (3.7%) proteins exhibited significant endogenous circadian rhythmicity, indicating that some rhythmic proteins cannot be solely captured by a simple sinusoidal model. Overall, we found that the largest number of proteins had their peak levels in the late afternoon/evening, with another smaller group peaking in the early morning. This study reveals that hundreds of plasma proteins exhibit endogenous circadian rhythmicity in humans. Future analyses will likely reveal novel physiological pathways regulated by circadian clocks and pave the way for improved diagnosis and treatment for patients with circadian disorders and other pathologies. It will also advance efforts to include knowledge about time-of-day, thereby incorporating circadian medicine into personalized medicine.
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