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A Metabolomic Approach for Predicting Diurnal Changes in Cortisol.

Jarrett Eshima1, Trenton J Davis2,3, Heather D Bean2,3

  • 1School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, USA.

Metabolites
|May 17, 2020
PubMed
Summary

Researchers identified specific volatile metabolites in urine that can predict cortisol level changes throughout the day. This finding offers a potential biological marker for long-term stress monitoring in mental health conditions.

Keywords:
biomarkerscortisoldiurnalgcxgc-tofmsmental healthpersonalized diagnosticspredictive modelingvolatile metabolomics

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Area of Science:

  • Metabolomics
  • Biochemistry
  • Analytical Chemistry

Background:

  • Cortisol secretion dysregulation is linked to mental health and mood disorders.
  • Current diagnostics for these conditions lack biological context.
  • There is a need for objective biological markers for stress monitoring.

Purpose of the Study:

  • To identify urinary volatile metabolites that predict diurnal cortisol secretion changes.
  • To establish a method for long-term stress monitoring in psychological disorders.

Main Methods:

  • Comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry (GCxGC-TOFMS) was used.
  • An untargeted approach sampled the urinary volatile metabolome.
  • Samples were collected from 60 subjects at three time points within a single day.

Main Results:

  • A multiple regression model identified 14 volatile metabolites and 7 interaction terms.
  • Specific metabolites like pyrrole, 6-methyl-5-hepten-2-one, and 1-iodo-2-methylundecane were highlighted.
  • These metabolites may be influenced by endogenous metabolic mechanisms and glucocorticoid signaling.

Conclusions:

  • The study demonstrates the feasibility of predicting cortisol levels using urinary volatile metabolites.
  • This approach offers a potential non-invasive method for long-term stress assessment.
  • Volatile metabolites could serve as novel biomarkers for psychological disorders.