A Metabolomic Approach for Predicting Diurnal Changes in Cortisol

: 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. : The goal of this work is to identify volatile metabolites capable of predicting ch...

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Bibliographic Details
Published in:Metabolites 2020-05, Vol.10 (5), p.194
Main Authors: Eshima, Jarrett, Davis, Trenton J, Bean, Heather D, Fricks, John, Smith, Barbara S
Format: Article
Language:English
Subjects:
cortisol
diurnal
gcxgc-tofms
mental health
predictive modeling
volatile metabolomics
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Summary:: 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. : 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. : 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. : 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. : This analysis demonstrated the feasibility of using specific volatile metabolites for the prediction of secreted cortisol across time.
ISSN:2218-1989
2218-1989
DOI:10.3390/metabo10050194