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Reference intervals for the urinary steroid metabolome: The impact of sex, age, day and night time on human adult steroidogenesis

OBJECTIVE: Urinary steroid metabolomics by GC-MS is an established method in both clinical and research settings to describe steroidogenic disorders. However, population-based reference intervals for adults do not exist. METHODS: We measured daytime and night time urinary excretion of 40 steroid met...

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Autores principales: Ackermann, Daniel, Groessl, Michael, Pruijm, Menno, Ponte, Belen, Escher, Geneviève, d’Uscio, Claudia H., Guessous, Idris, Ehret, Georg, Pechère-Bertschi, Antoinette, Martin, Pierre-Yves, Burnier, Michel, Dick, Bernhard, Vogt, Bruno, Bochud, Murielle, Rousson, Valentin, Dhayat, Nasser A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6440635/
https://www.ncbi.nlm.nih.gov/pubmed/30925175
http://dx.doi.org/10.1371/journal.pone.0214549
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author Ackermann, Daniel
Groessl, Michael
Pruijm, Menno
Ponte, Belen
Escher, Geneviève
d’Uscio, Claudia H.
Guessous, Idris
Ehret, Georg
Pechère-Bertschi, Antoinette
Martin, Pierre-Yves
Burnier, Michel
Dick, Bernhard
Vogt, Bruno
Bochud, Murielle
Rousson, Valentin
Dhayat, Nasser A.
author_facet Ackermann, Daniel
Groessl, Michael
Pruijm, Menno
Ponte, Belen
Escher, Geneviève
d’Uscio, Claudia H.
Guessous, Idris
Ehret, Georg
Pechère-Bertschi, Antoinette
Martin, Pierre-Yves
Burnier, Michel
Dick, Bernhard
Vogt, Bruno
Bochud, Murielle
Rousson, Valentin
Dhayat, Nasser A.
author_sort Ackermann, Daniel
collection PubMed
description OBJECTIVE: Urinary steroid metabolomics by GC-MS is an established method in both clinical and research settings to describe steroidogenic disorders. However, population-based reference intervals for adults do not exist. METHODS: We measured daytime and night time urinary excretion of 40 steroid metabolites by GC-MS in 1128 adult participants of European ancestry, aged 18 to 90 years, within a large population-based, multicentric, cross-sectional study. Age and sex-related patterns in adjacent daytime and night time urine collections over 24 hours were modelled for each steroid metabolite by multivariable linear mixed regression. We compared our results with those obtained through a systematic literature review on reference intervals of urinary steroid excretion. RESULTS: Flexible models were created for all urinary steroid metabolites thereby estimating sex- and age-related changes of the urinary steroid metabolome. Most urinary steroid metabolites showed an age-dependence with the exception of 6β-OH-cortisol, 18-OH-cortisol, and β-cortol. Reference intervals for all metabolites excreted during 24 hours were derived from the 2.5(th) and 97.5(th) percentile of modelled reference curves. The excretion rate per period of metabolites predominantly derived from the adrenals was mainly higher during the day than at night and the correlation between day and night time metabolite excretion was highly positive for most androgens and moderately positive for glucocorticoids. CONCLUSIONS: This study gives unprecedented new insights into sex- and age-specificity of the human adult steroid metabolome and provides further information on the day/night variation of urinary steroid hormone excretion. The population-based reference ranges for 40 GC-MS-measured metabolites will facilitate the interpretation of steroid profiles in clinical practice.
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spelling pubmed-64406352019-04-12 Reference intervals for the urinary steroid metabolome: The impact of sex, age, day and night time on human adult steroidogenesis Ackermann, Daniel Groessl, Michael Pruijm, Menno Ponte, Belen Escher, Geneviève d’Uscio, Claudia H. Guessous, Idris Ehret, Georg Pechère-Bertschi, Antoinette Martin, Pierre-Yves Burnier, Michel Dick, Bernhard Vogt, Bruno Bochud, Murielle Rousson, Valentin Dhayat, Nasser A. PLoS One Research Article OBJECTIVE: Urinary steroid metabolomics by GC-MS is an established method in both clinical and research settings to describe steroidogenic disorders. However, population-based reference intervals for adults do not exist. METHODS: We measured daytime and night time urinary excretion of 40 steroid metabolites by GC-MS in 1128 adult participants of European ancestry, aged 18 to 90 years, within a large population-based, multicentric, cross-sectional study. Age and sex-related patterns in adjacent daytime and night time urine collections over 24 hours were modelled for each steroid metabolite by multivariable linear mixed regression. We compared our results with those obtained through a systematic literature review on reference intervals of urinary steroid excretion. RESULTS: Flexible models were created for all urinary steroid metabolites thereby estimating sex- and age-related changes of the urinary steroid metabolome. Most urinary steroid metabolites showed an age-dependence with the exception of 6β-OH-cortisol, 18-OH-cortisol, and β-cortol. Reference intervals for all metabolites excreted during 24 hours were derived from the 2.5(th) and 97.5(th) percentile of modelled reference curves. The excretion rate per period of metabolites predominantly derived from the adrenals was mainly higher during the day than at night and the correlation between day and night time metabolite excretion was highly positive for most androgens and moderately positive for glucocorticoids. CONCLUSIONS: This study gives unprecedented new insights into sex- and age-specificity of the human adult steroid metabolome and provides further information on the day/night variation of urinary steroid hormone excretion. The population-based reference ranges for 40 GC-MS-measured metabolites will facilitate the interpretation of steroid profiles in clinical practice. Public Library of Science 2019-03-29 /pmc/articles/PMC6440635/ /pubmed/30925175 http://dx.doi.org/10.1371/journal.pone.0214549 Text en © 2019 Ackermann et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ackermann, Daniel
Groessl, Michael
Pruijm, Menno
Ponte, Belen
Escher, Geneviève
d’Uscio, Claudia H.
Guessous, Idris
Ehret, Georg
Pechère-Bertschi, Antoinette
Martin, Pierre-Yves
Burnier, Michel
Dick, Bernhard
Vogt, Bruno
Bochud, Murielle
Rousson, Valentin
Dhayat, Nasser A.
Reference intervals for the urinary steroid metabolome: The impact of sex, age, day and night time on human adult steroidogenesis
title Reference intervals for the urinary steroid metabolome: The impact of sex, age, day and night time on human adult steroidogenesis
title_full Reference intervals for the urinary steroid metabolome: The impact of sex, age, day and night time on human adult steroidogenesis
title_fullStr Reference intervals for the urinary steroid metabolome: The impact of sex, age, day and night time on human adult steroidogenesis
title_full_unstemmed Reference intervals for the urinary steroid metabolome: The impact of sex, age, day and night time on human adult steroidogenesis
title_short Reference intervals for the urinary steroid metabolome: The impact of sex, age, day and night time on human adult steroidogenesis
title_sort reference intervals for the urinary steroid metabolome: the impact of sex, age, day and night time on human adult steroidogenesis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6440635/
https://www.ncbi.nlm.nih.gov/pubmed/30925175
http://dx.doi.org/10.1371/journal.pone.0214549
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