Evidence map›Paper›PMID 26285127›Full record

ArticlePloS one2015

Diurnal Variation of Hormonal and Lipid Biomarkers in a Molecular Epidemiology-Like Setting.

Linda W M van Kerkhof, Kirsten C G Van Dycke, Eugene H J M Jansen, Piet K Beekhof, Conny T M van Oostrom, Tatjana Ruskovska, Nevenka Velickova, Nikola Kamcev, Jeroen L A Pennings, Harry van Steeg and 1 more

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 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 15% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Pooled it
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  3. Impact of Daily Rhythms and Postprandial Responses on the Plasma Metabolome.International journal of molecular sciences · 2026
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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

11 authors at 2 institutions in 2 countries.

Linda W M van KerkhofCentre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
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.
Eugene H J M JansenCentre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Piet K BeekhofCentre 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.
Tatjana RuskovskaFaculty of Medical Sciences, Goce Delcev University, Stip, Republic of Macedonia.
Nevenka VelickovaFaculty of Medical Sciences, Goce Delcev University, Stip, Republic of Macedonia.
Nikola KamcevFaculty of Medical Sciences, Goce Delcev University, Stip, Republic of Macedonia.
Jeroen L A PenningsCentre 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.
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 · NLGoce Delcev University · MK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMany molecular epidemiology studies focusing on high prevalent diseases, such as metabolic disorders and cancer, investigate metabolic and hormonal markers. In general, sampling for these markers can occur at any time-point during the day or after an overnight fast. However, environmental factors, such as light exposure and food intake might affect the levels of these markers, since they provide input for the internal time-keeping system. When diurnal variation is larger than the inter-individual variation, time of day should be taken into account. Importantly, heterogeneity in diurnal variation and disturbance of circadian rhythms among a study population might increasingly occur as a result of our increasing 24/7 economy and related variation in exposure to environmental factors (such as light and food).

aimThe aim of the present study was to determine whether a set of often used biomarkers shows diurnal variation in a setting resembling large molecular epidemiology studies, i.e., non-fasted and limited control possibilities for other environmental influences.

resultsWe show that markers for which diurnal variation is not an issue are adrenocorticotropic hormone, follicle stimulating hormone, estradiol and high-density lipoprotein. For all other tested markers diurnal variation was observed in at least one gender (cholesterol, cortisol, dehydroepiandrosterone sulfate, free fatty acids, low-density lipoprotein, luteinizing hormone, prolactin, progesterone, testosterone, triglycerides, total triiodothyronine and thyroid-stimulating hormone) or could not reliably be detected (human growth hormone). DISCUSSION: Thus, studies investigating these markers should take diurnal variation into account, for which we provide some options. Furthermore, our study indicates the need for investigating diurnal variation (in literature or experimentally) before setting up studies measuring markers in routine and controlled settings, especially since time-of-day likely matters for many more markers than the ones investigated in the present study.

Indexed as

BiomarkersCircadian RhythmFemaleGene Expression RegulationHormonesHumansLipidsMaleMolecular EpidemiologyYoung AdultBiomarkersHormonesLipids

Identifiers

PMID26285127
PMCPMC4540433
OpenAlexW2120864865

What OpenQuestion holds

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LicenceCC BY
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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.