Evidence map›Paper›PMID 39693737›Full record

ArticleEBioMedicine2025

Untargeted metabolome atlas for sleep-related phenotypes in the Hispanic community health study/study of Latinos.

Ying Zhang, Brian W Spitzer, Yu Zhang, Danielle A Wallace, Bing Yu, Qibin Qi, Maria Argos, M Larissa Avilés-Santa, Eric Boerwinkle, Martha L Daviglus and 4 more

Abstract read
In one paragraph

Article in EBioMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. N-Lactoyl Amino Acids: Emerging Biomarkers in Metabolism and Disease.Diabetes/metabolism research and reviews · 2025
    Review
  9. Article
  10. Robust Metabolomic Age Prediction Based on a Wide Selection of Metabolites.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Ying ZhangDivision of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Brian W SpitzerCardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Yu ZhangCardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Danielle A WallaceDivision of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA.
Bing YuDepartment of Epidemiology, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Qibin QiDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Maria ArgosDepartment of Epidemiology and Biostatistics, School of Public Health, University of Illinois Chicago, Chicago, IL, USA; Department of Environmental Health, School of Public Health, Boston University, Boston, MA, USA.
M Larissa Avilés-SantaDivision of Clinical and Health Services Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA.
Eric BoerwinkleDepartment of Epidemiology, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Martha L DaviglusInstitute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA.
Robert KaplanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Jianwen CaiCollaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Susan RedlineDivision of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA.
Tamar SoferDivision of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA. Electronic address: tsofer@bidmc.harvard.edu.

Funding

Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
Leveraging omics data to understand sleep health and its consequences among diverse Hispanics/LatinosR01HL161012 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Tamar Sofer · 2022 to 2026
$3.2M
NHLBI NIH HHS R01 HL161012NIEHS NIH HHS P30 ES027792
6 · The paper itself

Abstract

backgroundSleep is essential to maintaining health and wellbeing of individuals, influencing a variety of outcomes from mental health to cardiometabolic disease. This study aims to assess the relationships between various sleep-related phenotypes and blood metabolites.

methodsUtilising data from the Hispanic Community Health Study/Study of Latinos, we performed association analyses between 40 sleep-related phenotypes, grouped in several domains (sleep disordered breathing (SDB), sleep duration, sleep timing, self-reported insomnia symptoms, excessive daytime sleepiness (EDS), and heart rate during sleep), and 768 metabolites measured via untargeted metabolomics profiling. Network analysis was employed to visualise and interpret the associations between sleep phenotypes and metabolites.

findingsThe patterns of statistically significant associations between sleep phenotypes and metabolites differed by superpathways, and highlighted subpathways of interest for future studies. For example, primary bile acid metabolism showed the highest cumulative percentage of statistically significant associations across all sleep phenotype domains except for SDB and EDS phenotypes. Several metabolites were associated with multiple sleep phenotypes, from a few domains. Glycochenodeoxycholate, vanillyl mandelate (VMA) and 1-stearoyl-2-oleoyl-GPE (18:0/18:1) were associated with the highest number of sleep phenotypes, while pregnenolone sulfate was associated with all sleep phenotype domains except for sleep duration. N-lactoyl amino acids such as N-lactoyl phenylalanine (lac-Phe), were associated with sleep duration, SDB, sleep timing and heart rate during sleep.

interpretationThis atlas of sleep-metabolite associations will facilitate hypothesis generation and further study of the metabolic underpinnings of sleep health.

fundingR01HL161012, R35HL135818, R01AG80598.

Indexed as

Hispanic or LatinoMetabolomeMetabolomicsSleepSleep Wake DisordersAdultBiomarkersFemaleHumansMaleMiddle AgedPhenotypeUnited StatesBiomarkersAtlasBipartite networkHispanic or latinoMetabolomicsSleep

Identifiers

PMID39693737
PMCPMC11722176

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LicenceCC BY
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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 OpenQuestion graph.