Evidence map›Paper›PMID 40685872›Full record

ArticleJournal of pineal research2025

Proteomic Signatures Underlying Sleep, Circadian Activity Patterns, and Major Chronic Diseases.

Jiahe Wei, Hanzhang Wu, Ying Zheng, Bingtao Weng, Yao Xiao, Christian Benedict, Ningjian Wang, Xiang-Hang Luo, Xiao Tan

Abstract read
In one paragraph

Article in Journal of pineal research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jiahe WeiDepartment 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.
Hanzhang WuDepartment 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.
Ying ZhengDepartment 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.
Bingtao WengDepartment 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.ORCID https://orcid.org/0000-0003-4588-3348
Yao XiaoDepartment of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China.
Christian BenedictDepartment of Pharmaceutical Biosciences, Uppsala University, Sweden.
Ningjian WangDepartment of Endocrinology and Metabolism, Institute of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiang-Hang LuoDepartment of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China.
Xiao TanDepartment 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.ORCID https://orcid.org/0000-0003-3992-5812

Funding

This study was supported by Development Project of Zhejiang Province (X.T., 2025C01119), Rut and Arvid Wolff Memorial Foundation (X.T., 2023-02467).
6 · The paper itself

Abstract

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.

Indexed as

Circadian RhythmProteomeProteomicsSleepAgedChronic DiseaseFemaleHumansMaleMiddle AgedProteomeall‐cause mortalitychronic diseasesproteomicsrest‐activity rhythmsleep

Identifiers

PMID40685872
PMCPMC12277940

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.