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A Metabolomic Approach for Predicting Diurnal Changes in Cortisol

Introduction: The dysregulation of cortisol secretion has been associated with a number of mental health and mood disorders. However, diagnostics for mental health and mood disorders are behavioral and lack biological contexts. Objectives: The goal of this work is to identify volatile metabolites ca...

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Autores principales: Eshima, Jarrett, Davis, Trenton J., Bean, Heather D., Fricks, John, Smith, Barbara S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7281277/
https://www.ncbi.nlm.nih.gov/pubmed/32414047
http://dx.doi.org/10.3390/metabo10050194
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author Eshima, Jarrett
Davis, Trenton J.
Bean, Heather D.
Fricks, John
Smith, Barbara S.
author_facet Eshima, Jarrett
Davis, Trenton J.
Bean, Heather D.
Fricks, John
Smith, Barbara S.
author_sort Eshima, Jarrett
collection PubMed
description Introduction: The dysregulation of cortisol secretion has been associated with a number of mental health and mood disorders. However, diagnostics for mental health and mood disorders are behavioral and lack biological contexts. Objectives: The goal of this work is to identify volatile metabolites capable of predicting changes in total urinary cortisol across the diurnal cycle for long-term stress monitoring in psychological disorders. Methods: We applied comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry to sample the urinary volatile metabolome using an untargeted approach across three time points in a single day for 60 subjects. Results: The finalized multiple regression model includes 14 volatile metabolites and 7 interaction terms. A review of the selected metabolites suggests pyrrole, 6-methyl-5-hepten-2-one and 1-iodo-2-methylundecane may originate from endogenous metabolic mechanisms influenced by glucocorticoid signaling mechanisms. Conclusion: This analysis demonstrated the feasibility of using specific volatile metabolites for the prediction of secreted cortisol across time.
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spelling pubmed-72812772020-06-19 A Metabolomic Approach for Predicting Diurnal Changes in Cortisol Eshima, Jarrett Davis, Trenton J. Bean, Heather D. Fricks, John Smith, Barbara S. Metabolites Article Introduction: The dysregulation of cortisol secretion has been associated with a number of mental health and mood disorders. However, diagnostics for mental health and mood disorders are behavioral and lack biological contexts. Objectives: The goal of this work is to identify volatile metabolites capable of predicting changes in total urinary cortisol across the diurnal cycle for long-term stress monitoring in psychological disorders. Methods: We applied comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry to sample the urinary volatile metabolome using an untargeted approach across three time points in a single day for 60 subjects. Results: The finalized multiple regression model includes 14 volatile metabolites and 7 interaction terms. A review of the selected metabolites suggests pyrrole, 6-methyl-5-hepten-2-one and 1-iodo-2-methylundecane may originate from endogenous metabolic mechanisms influenced by glucocorticoid signaling mechanisms. Conclusion: This analysis demonstrated the feasibility of using specific volatile metabolites for the prediction of secreted cortisol across time. MDPI 2020-05-13 /pmc/articles/PMC7281277/ /pubmed/32414047 http://dx.doi.org/10.3390/metabo10050194 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Eshima, Jarrett
Davis, Trenton J.
Bean, Heather D.
Fricks, John
Smith, Barbara S.
A Metabolomic Approach for Predicting Diurnal Changes in Cortisol
title A Metabolomic Approach for Predicting Diurnal Changes in Cortisol
title_full A Metabolomic Approach for Predicting Diurnal Changes in Cortisol
title_fullStr A Metabolomic Approach for Predicting Diurnal Changes in Cortisol
title_full_unstemmed A Metabolomic Approach for Predicting Diurnal Changes in Cortisol
title_short A Metabolomic Approach for Predicting Diurnal Changes in Cortisol
title_sort metabolomic approach for predicting diurnal changes in cortisol
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7281277/
https://www.ncbi.nlm.nih.gov/pubmed/32414047
http://dx.doi.org/10.3390/metabo10050194
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