Dataset Information
A Metabolomic Approach for Predicting Diurnal Changes in Cortisol
Ontology highlight
ABSTRACT: 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.
INSTRUMENT(S): Tandem Gas Chromatography MS - positive
SUBMITTER: Jarrett Eshima
PROVIDER: MTBLS1206 | MetaboLights | 2021-09-23
REPOSITORIES: MetaboLights
Publications
A Metabolomic Approach for Predicting Diurnal Changes in Cortisol.
Metabolites 20200513 5
<i>Introduction</i>: 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. <i>Objectives</i>: 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. <i>Methods</i>: We applied comprehensive two-di ...[more]
