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Updated: Sep 14, 2025

Human Circadian Phenotyping and Diurnal Performance Testing in the Real World
Published on: April 7, 2020
Proteomic Signatures Underlying Sleep, Circadian Activity Patterns, and Major Chronic Diseases
Jiahe Wei1,2, Hanzhang Wu1,2, Ying Zheng1,2
1Department 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.
Rest-activity rhythm and sleep are linked to inflammation and immune responses. These biological mechanisms may influence chronic diseases like diabetes and cardiovascular conditions, offering new intervention targets.
Area of Science:
- Chronobiology
- Proteomics
- Epidemiology
Background:
- Rest-activity rhythm and sleep are crucial for health but their biological mechanisms and proteomic links to disease are unclear.
- Understanding these associations could reveal new therapeutic targets for various conditions.
Purpose of the Study:
- To characterize the proteomic signatures of rest-activity and sleep.
- To explore the association of these signatures with health outcomes and disease incidence.
Main Methods:
- Utilized UK Biobank data from ~10,000 participants.
- Employed accelerometer-derived rest-activity and sleep measures alongside proteomics profiles.
- Performed association analyses with incident diseases and mortality.
Main Results:
- Proteins linked to rest-activity and sleep were enriched in inflammation, immune response, and complement pathways.
- Rest-activity and sleep measures, and their proteomic signatures, correlated with diabetes, cardiovascular disease, chronic kidney disease, respiratory diseases, and life expectancy.
- Proteins like ADM and CA14 mediated associations across different rest-activity and sleep measures.
Conclusions:
- The impact of rest-activity and sleep on chronic diseases and mortality may be mediated by diverse protein-driven biological pathways.
- Findings provide insights into the mechanisms linking sleep and activity patterns to health.
- Identified potential protein targets for interventions aimed at improving health outcomes related to sleep and activity.
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