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KMID : 1140320230070010033
Precision and Future Medicine
2023 Volume.7 No. 1 p.33 ~ p.43
Signatory metabolomics biomarkers of stress, anxiety, and depression: a proof of concept for precision health among university students: A cross-sectional study
Nur Izzati Umar Zaman

Teh Lay Kek
Rohana Ahmad
Mohd Nur Fakhruzzaman Noorizhab
Mohd Salleh Rofiee
Richard Johari James
Norazmir Md Nor
Mawarni Mohamed
Teoh Sian Hoon
Parmjit Singh Arepar Singh
Roziah Mohd Janor
Sahol Hamid Abu Bakar
Mohd Zaki Salleh
Abstract
Purpose: The highly competitive nature of tertiary education and the pressure to perform academically have increased psychological morbidity like emotional distress. Untargeted metabolomics was used to analyze serum samples of university students for biomarkers and perturbated metabolism due to stress, anxiety, and depression (SAD).

Methods: Depression, Anxiety, Stress Scale 21 (DASS-21) was used to assess the severity of SAD in university students. The metabolite fingerprint of each subject was obtained using liquid chromatography-mass spectrometry quadrupole time-of-flight (LC/MS QTOF). The signature metabolites for each trait were determined by projections to latent structures discriminant analysis (PLS-DA) with variable importance for the projection (VIP) score > 1.0 (P<0.05) and subjected to analysis using the area under the receiver operating characteristic curve (AUROC). Potential biomarkers with an area under the curve (AUC) value exceeding 0.65 were identified.

Results: Various groups of glycerophospholipids were upregulated in the studied traits. On the other hand, metabolites such as glycocholic acid was upregulated in depression, while hypoxanthine was upregulated in anxiety, and PE-Cer(d14:1(4E)/22:1(13Z)) was upregulated in stress.

Conclusion: To our knowledge, this is the first study to assess the relationship of the differentially expressed metabolites in university students of different categories of SAD using the DASS-21 screening tool in Malaysia as we move forward with precision health.
KEYWORD
Anxiety, Biomarkers, Depression, Metabolomics, Students
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