Evidence map›Paper›PMID 42162304›Full record

ArticleCommunications medicine2026

Multi-organ imaging and genetics show the impact of sleep patterns on the human brain and body.

Zirui Fan, Yilin Yang, Yuxin Guo, Yujue Li, Juan Shu, Xiaochen Yang, Bingxuan Li, Jinjie Lin, Qianwen Wang, Peristera Paschou and 4 more

Abstract read
In one paragraph

Article in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Zirui FanDepartment of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA, USA.
Yilin YangDepartment of Computer and Information Science and Electrical and Systems Engineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, USA.
Yuxin GuoDepartment of Biological Sciences, Purdue University, West Lafayette, IN, USA.
Yujue LiDepartment of Statistics, Purdue University, West Lafayette, IN, USA.
Juan ShuDepartment of Statistics, Purdue University, West Lafayette, IN, USA.
Xiaochen YangDepartment of Statistics, Purdue University, West Lafayette, IN, USA.
Bingxuan LiUCLA Samueli School of Engineering, Los Angeles, CA, USA.
Jinjie LinYale School of Management, Yale University, New Haven, CT, USA.
Qianwen WangPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
Peristera PaschouDepartment of Biological Sciences, Purdue University, West Lafayette, IN, USA.
Tengfei LiDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0001-6142-3865
Philip GehrmanDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Hongtu ZhuDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. htzhu@email.unc.edu.ORCID http://orcid.org/0000-0002-6781-2690
Bingxin ZhaoDepartment of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA, USA. bxzhao@upenn.edu.ORCID http://orcid.org/0000-0002-0979-7891

Funding

Construction and Application of Comprehensive Knowledge Graphs for Alzheimer's DiseaseR01AG085581 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Yun Li, Hongtu Zhu · 2024 to 2026
$3.7M
Mapping the Causal Genetic-Imaging-Clinical Pathway for Alzheimer's DiseaseRF1AG082938 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Bingxin Zhao, Hongtu Zhu · 2023 to 2026
$3.6M
NIA NIH HHS R01 AG085581NIA NIH HHS RF1 AG082938U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG085581
6 · The paper itself

Abstract

backgroundSleep is crucial for overall physical and mental health, concerning organs such as the brain, heart, eye, liver, kidney, and lung. Nonetheless, a thorough understanding of how sleep relates to anatomical features of these organs, as well as their genetic bases, remains elusive.

methodsWe analyzed ten sleep traits in relation to 623 imaging-derived biomarkers capturing the structure and function of multiple organs from UK Biobank (UKB). We examined phenotypic and genetic sleep-imaging associations, identified shared genetic loci, assessed genetic correlations between sleep traits and a wide range of diseases, and performed mediation analyses to evaluate the role of organ-related diseases in sleep-imaging connections.

resultsHere we show that sleep traits are robustly associated with the structure and function of multiple organs at both the phenotypic and genetic levels, including brain functions measured by functional magnetic resonance imaging (fMRI) and body composition traits in abdominal MRI. Sleep and imaging traits share genetic influences across 51 genomic regions, 23 of which show evidence of colocalized causal genetic effects. We also exhibit genetic similarities between sleep traits and diseases affecting multiple organ systems, with psychiatric disorders consistently showing the strongest genetic correlations and causal links. Furthermore, many sleep-imaging associations are mediated by diseases within or across organ systems.

conclusionsThese findings demonstrate that sleep is broadly linked to brain and body health and influenced in part by shared genetic factors. Integrating sleep traits with multi-organ imaging measures provides a framework for characterizing organ-specific sleep associations and their potential relevance to disease.

Identifiers

PMID42162304
PMCPMC13458312

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.