Evidence map›Paper›PMID 30134533›Full record

ArticleMetabolites2018

Night Shift Work Affects Urine Metabolite Profiles of Nurses with Early Chronotype.

Markus Rotter, Stefan Brandmaier, Marcela Covic, Katarzyna Burek, Johannes Hertel, Martina Troll, Erik Bader, Jonathan Adam, Cornelia Prehn, Birgit Rathkolb and 13 more

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

14 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
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  3. Shift work, genetic risk, and incident gout: a prospective cohort study in the UK Biobank.Archives of public health = Archives belges de sante publique · 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

23 authors at 7 institutions in 2 countries.

Markus RotterResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 München-Neuherberg, Germany. markus.rotter@helmholtz-muenchen.de.
Stefan BrandmaierResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 München-Neuherberg, Germany. stefan.brandmaier@helmholtz-muenchen.de.
Marcela CovicResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 München-Neuherberg, Germany. marcela.covic@helmholtz-muenchen.de.
Katarzyna BurekInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), 44721 Bochum, Germany. burek@ipa-dguv.de.
Johannes HertelDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, 17489 Greifswald, Germany. hertelj@uni-greifswald.de.
Martina TrollResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 München-Neuherberg, Germany. martina.troll@helmholtz-muenchen.de.
Erik BaderResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 München-Neuherberg, Germany. ErikSBader@web.de.
Jonathan AdamResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 München-Neuherberg, Germany. jonathanadam86@gmail.com.
Cornelia PrehnGenome Analysis Center, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 München-Neuherberg, Germany. prehn@helmholtz-muenchen.de.
Birgit RathkolbGerman Center for Diabetes Research (DZD), 85764 München-Neuherberg, Germany. birgit.rathkolb@helmholtz-muenchen.de.
Martin Hrabe de AngelisGerman Center for Diabetes Research (DZD), 85764 München-Neuherberg, Germany. hrabe@helmholtz-muenchen.de.
Hans Jörgen GrabeDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, 17489 Greifswald, Germany. grabeh@uni-greifswald.de.
Hannelore DanielMolecular Nutrition Unit, Center of Life and Food Sciences Weihenstephan, Technische Universität München, 85354 Freising, Germany. hannelore.daniel@tum.de.
Thomas KantermannUniversity of Applied Sciences for Economics and Management (FOM), 45127 Essen, Germany. thomas.kantermann@fom.de.ORCID 0000-0002-5536-1263
Volker HarthInstitute for Occupational Medicine and Maritime Medicine (ZfAM), University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany. volker.harth@bgv.hamburg.de.
Thomas IlligHannover Unified Biobank, Hannover Medical School, 30625, Hannover, Germany. Illig.Thomas@mh-hannover.de.
Dirk PallapiesInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), 44721 Bochum, Germany. pallapies@ipa-dguv.de.
Thomas BehrensInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), 44721 Bochum, Germany. behrens@ipa-dguv.de.
Thomas BrüningInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), 44721 Bochum, Germany. bruening@ipa-dguv.de.
Jerzy AdamskiGerman Center for Diabetes Research (DZD), 85764 München-Neuherberg, Germany. adamski@helmholtz-muenchen.de.ORCID 0000-0001-9259-0199
Heiko LickertGerman Center for Diabetes Research (DZD), 85764 München-Neuherberg, Germany. heiko.lickert@helmholtz-muenchen.de.
Sylvia RabsteinInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), 44721 Bochum, Germany. rabstein@ipa-dguv.de.
Rui Wang-SattlerResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 München-Neuherberg, Germany. rui.wang-sattler@helmholtz-muenchen.de.
Helmholtz Zentrum München · DEInstitute for Prevention and Occupational Medicine · DEUniversitätsmedizin Greifswald · DEFOM University of Applied Sciences for Economics and Management · DEMedizinische Hochschule Hannover · DETechnical University of Munich · DEUniversität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Night shift work can have a serious impact on health. Here, we assess whether and how night shift work influences the metabolite profiles, specifically with respect to different chronotype classes. We have recruited 100 women including 68 nurses working both, day shift and night shifts for up to 5 consecutive days and collected 3640 spontaneous urine samples. About 424 waking-up urine samples were measured using a targeted metabolomics approach. To account for urine dilution, we applied three methods to normalize the metabolite values: creatinine-, osmolality- and regression-based normalization. Based on linear mixed effect models, we found 31 metabolites significantly (false discovery rate <0.05) affected in nurses working in night shifts. One metabolite, acylcarnitine C10:2, was consistently identified with all three normalization methods. We further observed 11 and 4 metabolites significantly associated with night shift in early and late chronotype classes, respectively. Increased levels of medium- and long chain acylcarnitines indicate a strong impairment of the fatty acid oxidation. Our results show that night shift work influences acylcarnitines and BCAAs, particularly in nurses in the early chronotype class. Women with intermediate and late chronotypes appear to be less affected by night shift work.

Indexed as

chronotypesmetabolomicsnight shift workurine normalizationwomen’s’ health

Identifiers

PMID30134533
PMCPMC6161245
OpenAlexW2888178300

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.