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

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 c...

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Main Authors: Markus Rotter, Stefan Brandmaier, Marcela Covic, Katarzyna Burek, Johannes Hertel, Martina Troll, Erik Bader, Jonathan Adam, Cornelia Prehn, Birgit Rathkolb, Martin Hrabe de Angelis, Hans Jörgen Grabe, Hannelore Daniel, Thomas Kantermann, Volker Harth, Thomas Illig, Dirk Pallapies, Thomas Behrens, Thomas Brüning, Jerzy Adamski, Heiko Lickert, Sylvia Rabstein, Rui Wang-Sattler
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Metabolites
Subjects:
Online Access:http://www.mdpi.com/2218-1989/8/3/45
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spelling doaj-art-712a8b2485d74ddf864e43af544973bd2018-08-22T08:24:14ZengMDPI AGMetabolites2218-19892018-08-01834510.3390/metabo8030045metabo8030045Night Shift Work Affects Urine Metabolite Profiles of Nurses with Early ChronotypeMarkus Rotter0Stefan Brandmaier1Marcela Covic2Katarzyna Burek3Johannes Hertel4Martina Troll5Erik Bader6Jonathan Adam7Cornelia Prehn8Birgit Rathkolb9Martin Hrabe de Angelis10Hans Jörgen Grabe11Hannelore Daniel12Thomas Kantermann13Volker Harth14Thomas Illig15Dirk Pallapies16Thomas Behrens17Thomas Brüning18Jerzy Adamski19Heiko Lickert20Sylvia Rabstein21Rui Wang-Sattler22Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 München-Neuherberg, GermanyResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 München-Neuherberg, GermanyResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 München-Neuherberg, GermanyInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), 44721 Bochum, GermanyDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, 17489 Greifswald, GermanyResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 München-Neuherberg, GermanyResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 München-Neuherberg, GermanyResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 München-Neuherberg, GermanyGenome Analysis Center, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 München-Neuherberg, GermanyGerman Center for Diabetes Research (DZD), 85764 München-Neuherberg, GermanyGerman Center for Diabetes Research (DZD), 85764 München-Neuherberg, GermanyDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, 17489 Greifswald, GermanyMolecular Nutrition Unit, Center of Life and Food Sciences Weihenstephan, Technische Universität München, 85354 Freising, GermanyUniversity of Applied Sciences for Economics and Management (FOM), 45127 Essen, GermanyInstitute for Occupational Medicine and Maritime Medicine (ZfAM), University Medical Center Hamburg-Eppendorf, 20246 Hamburg, GermanyHannover Unified Biobank, Hannover Medical School, 30625, Hannover, GermanyInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), 44721 Bochum, GermanyInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), 44721 Bochum, GermanyInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), 44721 Bochum, GermanyGerman Center for Diabetes Research (DZD), 85764 München-Neuherberg, GermanyGerman Center for Diabetes Research (DZD), 85764 München-Neuherberg, GermanyInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), 44721 Bochum, GermanyResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 München-Neuherberg, GermanyNight 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.http://www.mdpi.com/2218-1989/8/3/45metabolomicsurine normalizationwomen’s’ healthnight shift workchronotypes
institution Open Data Bank
collection Open Access Journals
building Directory of Open Access Journals
language English
format Article
author Markus Rotter
Stefan Brandmaier
Marcela Covic
Katarzyna Burek
Johannes Hertel
Martina Troll
Erik Bader
Jonathan Adam
Cornelia Prehn
Birgit Rathkolb
Martin Hrabe de Angelis
Hans Jörgen Grabe
Hannelore Daniel
Thomas Kantermann
Volker Harth
Thomas Illig
Dirk Pallapies
Thomas Behrens
Thomas Brüning
Jerzy Adamski
Heiko Lickert
Sylvia Rabstein
Rui Wang-Sattler
spellingShingle Markus Rotter
Stefan Brandmaier
Marcela Covic
Katarzyna Burek
Johannes Hertel
Martina Troll
Erik Bader
Jonathan Adam
Cornelia Prehn
Birgit Rathkolb
Martin Hrabe de Angelis
Hans Jörgen Grabe
Hannelore Daniel
Thomas Kantermann
Volker Harth
Thomas Illig
Dirk Pallapies
Thomas Behrens
Thomas Brüning
Jerzy Adamski
Heiko Lickert
Sylvia Rabstein
Rui Wang-Sattler
Night Shift Work Affects Urine Metabolite Profiles of Nurses with Early Chronotype
Metabolites
metabolomics
urine normalization
women’s’ health
night shift work
chronotypes
author_facet Markus Rotter
Stefan Brandmaier
Marcela Covic
Katarzyna Burek
Johannes Hertel
Martina Troll
Erik Bader
Jonathan Adam
Cornelia Prehn
Birgit Rathkolb
Martin Hrabe de Angelis
Hans Jörgen Grabe
Hannelore Daniel
Thomas Kantermann
Volker Harth
Thomas Illig
Dirk Pallapies
Thomas Behrens
Thomas Brüning
Jerzy Adamski
Heiko Lickert
Sylvia Rabstein
Rui Wang-Sattler
author_sort Markus Rotter
title Night Shift Work Affects Urine Metabolite Profiles of Nurses with Early Chronotype
title_short Night Shift Work Affects Urine Metabolite Profiles of Nurses with Early Chronotype
title_full Night Shift Work Affects Urine Metabolite Profiles of Nurses with Early Chronotype
title_fullStr Night Shift Work Affects Urine Metabolite Profiles of Nurses with Early Chronotype
title_full_unstemmed Night Shift Work Affects Urine Metabolite Profiles of Nurses with Early Chronotype
title_sort night shift work affects urine metabolite profiles of nurses with early chronotype
publisher MDPI AG
series Metabolites
issn 2218-1989
publishDate 2018-08-01
description 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.
topic metabolomics
urine normalization
women’s’ health
night shift work
chronotypes
url http://www.mdpi.com/2218-1989/8/3/45
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