Dataset Information

A Metabolomic Approach for Predicting Diurnal Changes in Cortisol

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

PROVIDER: MTBLS1206 | MetaboLights | 2021-09-23

REPOSITORIES: MetaboLights

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 203

Publications

A Metabolomic Approach for Predicting Diurnal Changes in Cortisol.

Eshima Jarrett J Davis Trenton J TJ Bean Heather D HD Fricks John J Smith Barbara S BS

Metabolites 20200513 5

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-di ...[more]

PMID: 32414047

Similar Datasets

Project description:Major depressive disorder (MDD) and bipolar disorder (BD) are the most prevalent mood disorders and cause considerable burden worldwide. Compelling evidence suggests a pronounced overlap between these two diseases in clinical symptoms, treatment strategies, and genetic etiology. Here we use a BD GWAS (1822 cases and 4650 controls) and a MDD GWAS (5303 cases and 5337 controls) of Han Chinese origin to investigate their shared genetic basis, followed by exploration of the underlying mechanisms. The lead SNP in the Han Chinese meta-analysis, rs126277 at the 1q32.2 locus, also exhibited nominal associations with mood disorders as well as several sub-clinical phenotypes (e.g., mania) related to mood disorders (UK biobank samples) in European populations. Bulk tissue and single-cell eQTL studies suggest that the risk G-allele of rs126277 predicted lower SYT14 mRNA expression in human brain tissues and cells, indicating possible involvement of this gene in mood disorders. We generated mice lacking Syt14 (Syt14–/–) and mice with insufficient expression of Syt14 in the hippocampus (Syt14-KD). We found that depletion of Syt14 resulted in mania-like behaviors including hyperactivity and anti-depressive behaviors, resembling aspects of mood disorders. We also confirmed that deficiency of this gene in the hippocampus was sufficient to induce hyperactivity in the mice. RNA-sequencing analyses of the hippocampus of Syt14–/– mice revealed significant upregulation of Per1 as well as downregulation of Slc7a11 and Ptprb. Ultrastructural analyses showed significant alteration of the number of vesicles within 50 nm to the active zone and the width of synaptic cleft in the ventral hippocampus of Syt14–/– mice compared with control mice. And Syt14–/– mice exhibit aberrant glutamate signaling patterns in the hippocampus. Overall, we have identified a novel mood disorder risk gene SYT14, and confirmed its impact on mania-like behaviors and essential roles in synaptic function. While the current study provides clues for the pathological mechanisms of mood disorders, further investigations elucidating the detailed mechanisms by which SYT14 regulates mood disorders-related traits are needed.

			Action	DRS
	019_A_12-11-17_1.SMP	Other
	019_B_12-23-17_1.SMP	Other
	019_C_12-23-17_1.SMP	Other
	046_A_12-23-17_1.SMP	Other
	046_B_12-18-17_1.SMP	Other