Evidence map›Paper›PMID 38798578›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Untargeted Metabolome Atlas for Sleep 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 readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.ORCID 0000-0001-7033-2172
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, New York, USA.
Maria ArgosDepartment of Epidemiology and Biostatistics, School of Public Health, University of Illinois Chicago, Chicago, IL, 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, New York, 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.
Tamar SoferDivision of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.ORCID 0000-0001-8520-8860

Funding

Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Briseis A Aschebrook-Kilfoy · 2017 to 2026
$13.6M
Phenotypic and Molecular Signatures for Sleep Apnea and Related MorbiditiesR35HL135818 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI REDLINE, SUSAN S. · 2017 to 2023
$7.2M
Using polygenic risk scores and omics to study how suboptimal sleep accelerates cognitive aging in diverse populationsR01AG080598 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Tamar Sofer · 2023 to 2026
$3.6M
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
Metabolic Signatures Underlying Cardiac Function for Heart Failure in Multi-Ethnic PopulationsR01HL141824 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI YU, BING · 2018 to 2021
$3.1M
Thalassemia Clinical Research Network, CanadaU01HL065233 · NHLBI · UNIVERSITY HEALTH NETWORK · PI OLIVIERI, NANCY F · 2000 to 2009
$2.6M
GENETIC ARCHITECTURE OF PLASMA T-PA AND PAI-1R01HL065234 · NHLBI · VANDERBILT UNIVERSITY · PI MOORE, JASON H. · 2000 to 2004
$1.7M
Investigating relationships between naturalistic light exposure and sleepK99HL166700 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI WALLACE, DANIELLE A. · 2023 to 2024
$330k
HISPANIC COMMUNITY HEALTH STUDY-268065233N01HC065233 · HC · COORDINATING CENTER · PI CHAMBLESS, LLOYD E · 2006 to 2006
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NHGRI NIH HHS HHSN268201300003CNHLBI NIH HHS HHSN268201300001CNHLBI NIH HHS HHSN268201300003INHLBI NIH HHS HHSN268201300004CNHLBI NIH HHS HHSN268201300005CNHLBI NIH HHS K99 HL166700NHLBI NIH HHS N01 HC065233NHLBI NIH HHS N01 HC065234NHLBI NIH HHS N01 HC065235NHLBI NIH HHS N01 HC065236NHLBI NIH HHS N01 HC065237NHLBI NIH HHS R01 HL141824NHLBI NIH HHS R01 HL161012NHLBI NIH HHS R35 HL135818NIA NIH HHS R01 AG080598NIEHS NIH HHS P30 ES027792
6 · The paper itself

Abstract

Sleep 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 phenotypes and blood metabolites. Utilizing data from the Hispanic Community Health Study/Study of Latinos, we performed association analyses between 40 sleep phenotypes, grouped in several domains (i.e., sleep disordered breathing (SDB), sleep duration, timing, insomnia symptoms, and heart rate during sleep), and 768 metabolites measured via untargeted metabolomics profiling. Network analysis was employed to visualize and interpret the associations between sleep phenotypes and metabolites. The patterns of statistically significant associations between sleep phenotypes and metabolites differed by superpathways, and highlighted subpathways of interest for future studies. For example, some xenobiotic metabolites were associated with sleep duration and heart rate phenotypes (e.g. 1H-indole-7-acetic acid, 4-allylphenol sulfate), while ketone bodies and fatty acid metabolism metabolites were associated with sleep timing measures (e.g. 3-hydroxybutyrate (BHBA), 3-hydroxyhexanoylcarnitine (1)). Heart rate phenotypes had the overall largest number of detected metabolite associations. Many of these associations were shared with both SDB and with sleep timing phenotypes, while SDB phenotypes shared relatively few metabolite associations with sleep duration measures. A number of metabolites were associated with multiple sleep phenotypes, from a few domains. The amino acids vanillylmandelate (VMA) and 1-carboxyethylisoleucine were associated with the greatest number of sleep phenotypes, from all domains other than insomnia. This atlas of sleep-metabolite associations will facilitate hypothesis generation and further study of the metabolic underpinnings of sleep health.

Identifiers

PMID38798578
PMCPMC11118618

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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.