Evidence map›Paper›PMID 25984797›Full record

ArticlePloS one2015

Biomarkers for circadian rhythm disruption independent of time of day.

Kirsten C G Van Dycke, Jeroen L A Pennings, Conny T M van Oostrom, Linda W M van Kerkhof, Harry van Steeg, Gijsbertus T J van der Horst, Wendy Rodenburg

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.6field-weighted citation impact, top 38% of its field
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

13 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Circadian Effects of Drug Responses.Annual review of biomedical engineering · 2021
    Article
  8. Circadian Hygiene in the ICU Environment (CHIE) study.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2020
    Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Observational
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

7 authors at 2 institutions in 1 country.

Kirsten C G Van DyckeCentre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands; Department of Genetics, Center for Biomedical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.
Jeroen L A PenningsCentre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Conny T M van OostromCentre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Linda W M van KerkhofCentre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Harry van SteegCentre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands; Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Gijsbertus T J van der HorstDepartment of Genetics, Center for Biomedical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.
Wendy RodenburgCentre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
National Institute for Public Health and the Environment · NLErasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frequent shift work causes disruption of the circadian rhythm and might on the long-term result in increased health risk. Current biomarkers evaluating the presence of circadian rhythm disturbance (CRD), including melatonin, cortisol and body temperature, require 24-hr ("around the clock") measurements, which is tedious. Therefore, these markers are not eligible to be used in large-scale (human) studies. The aim of the present study was to identify universal biomarkers for CRD independent of time of day using a transcriptomics approach. Female FVB mice were exposed to six shifts in a clockwise (CW) and counterclockwise (CCW) CRD protocol and sacrificed at baseline and after 1 shift, 6 shifts, 5 days recovery and 14 days recovery, respectively. At six time-points during the day, livers were collected for mRNA microarray analysis. Using a classification approach, we identified a set of biomarkers able to classify samples into either CRD or non-disrupted based on the hepatic gene expression. Furthermore, we identified differentially expressed genes 14 days after the last shift compared to baseline for both CRD protocols. Non-circadian genes differentially expressed upon both CW and CCW protocol were considered useful, universal markers for CRD. One candidate marker i.e. CD36 was evaluated in serum samples of the CRD animals versus controls. These biomarkers might be useful to measure CRD and can be used later on for monitoring the effectiveness of intervention strategies aiming to prevent or minimize chronic adverse health effects.

Indexed as

AnimalsBiomarkersBody TemperatureCD36 AntigensChronobiology DisordersCircadian RhythmCorticosteroneFemaleLiverMiceOligonucleotide Array Sequence AnalysisTime FactorsTranscriptomeBiomarkersCD36 AntigensCorticosterone

Identifiers

PMID25984797
PMCPMC4436131
OpenAlexW1581038596

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.