A Metabolomic Approach for Predicting Diurnal Changes in Cortisol
2020
Jarrett Eshima | Trenton J. Davis | Heather D. Bean | John Fricks | Barbara S. Smith
<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. 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. <i>Methods:</i> 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. <i>Results:</i> 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. <i>Conclusion:</i> This analysis demonstrated the feasibility of using specific volatile metabolites for the prediction of secreted cortisol across time.
Mostrar más [+] Menos [-]Palabras clave de AGROVOC
Información bibliográfica
Este registro bibliográfico ha sido proporcionado por Directory of Open Access Journals