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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7281277 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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