Evidence map›Paper›PMID 34182829›Full record

Trial reportJournal of biological rhythms2021

Identification of a Preliminary Plasma Metabolome-based Biomarker for Circadian Phase in Humans.

D Cogswell, P Bisesi, R R Markwald, C Cruickshank-Quinn, K Quinn, A McHill, E L Melanson, N Reisdorph, K P Wright, C M Depner

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of biological rhythms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Machine learning estimation of human body time using metabolomic profiling.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  16. Article
  17. Integrative Analysis of Rhythmicity: From Biology to Urban Environments and Sustainability.International journal of environmental research and public health · 2022
    Review
  18. Review
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

10 authors.

D CogswellSleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado.ORCID 0000-0002-8518-5918
P BisesiSleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado.
R R MarkwaldSleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado.
C Cruickshank-QuinnDepartment of Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
K QuinnDepartment of Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
A McHillSleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado.
E L MelansonDivision of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
N ReisdorphDepartment of Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
K P WrightSleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado.
C M DepnerSleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado.ORCID 0000-0003-2528-5455

Funding

NIH Prior Approval Process ProfessionalUL1TR002535 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2018 to 2022
$51.1M
Colorado Clinical and Translational Science Institute (UL1)UL1TR000154 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2012 to 2013
$20.4M
Metabolic and Cognitive Consequences of Sleep LossR01HL109706 · NHLBI · UNIVERSITY OF COLORADO · PI WRIGHT, KENNETH P · 2011 to 2014
$2.3M
Biomarkers of Insufficient Sleep and SleepinessR01HL132150 · NHLBI · UNIVERSITY OF COLORADO · PI REISDORPH, NICHOLE A, WRIGHT, KENNETH P · 2016 to 2017
$1.2M
Health and Safety Consequences of Sleep LossR01HL085705 · NHLBI · UNIVERSITY OF COLORADO · PI WRIGHT, KENNETH P · 2009 to 2010
$960k
Biomarkers and Altered Metabolic Pathways during Sleep Loss and Circadian DisruptionK01HL145099 · NHLBI · UNIVERSITY OF UTAH · PI DEPNER, CHRISTOPHER MICHAEL · 2019 to 2023
$888k
Mechanisms of Insufficient Sleep Contributing to Metabolic Disease Risk and Impact from Weekend Recovery SleepF32DK111161 · NIDDK · UNIVERSITY OF COLORADO · PI DEPNER, CHRISTOPHER MICHAEL · 2016 to 2018
$121k
NCATS NIH HHS UL1 TR000154NCATS NIH HHS UL1 TR002535NHLBI NIH HHS K01 HL145099NHLBI NIH HHS R01 HL085705NHLBI NIH HHS R01 HL109706NHLBI NIH HHS R01 HL132150NIDDK NIH HHS F32 DK111161
6 · The paper itself

Abstract

Measuring individual circadian phase is important to diagnose and treat circadian rhythm sleep-wake disorders and circadian misalignment, inform chronotherapy, and advance circadian science. Initial findings using blood transcriptomics to predict the circadian phase marker dim-light melatonin onset (DLMO) show promise. Alternatively, there are limited attempts using metabolomics to predict DLMO and no known omics-based biomarkers predict dim-light melatonin offset (DLMOff). We analyzed the human plasma metabolome during adequate and insufficient sleep to predict DLMO and DLMOff using one blood sample. Sixteen (8 male/8 female) healthy participants aged 22.4 ± 4.8 years (mean ± SD) completed an in-laboratory study with 3 baseline days (9 h sleep opportunity/night), followed by a randomized cross-over protocol with 9-h adequate sleep and 5-h insufficient sleep conditions, each lasting 5 days. Blood was collected hourly during the final 24 h of each condition to independently determine DLMO and DLMOff. Blood samples collected every 4 h were analyzed by untargeted metabolomics and were randomly split into training (68%) and test (32%) sets for biomarker analyses. DLMO and DLMOff biomarker models were developed using partial least squares regression in the training set followed by performance assessments using the test set. At baseline, the DLMOff model showed the highest performance (0.91

Indexed as

MelatoninSleep Disorders, Circadian RhythmBiomarkersCircadian RhythmFemaleHumansLightMaleMetabolomeSleepBiomarkersMelatoninbiomarkercircadian misalignmentcircadian rhythmmetabolomicspersonalized medicinesleep losssleep restriction

Identifiers

PMID34182829
PMCPMC9134127

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

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 Socratic graph.