Signatory metabolomics biomarkers of stress, anxiety, and depression: a proof of concept for precision health among university students: A cross-sectional study
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 stres...
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Format: | Article |
Language: | English |
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Sungkyunkwan University School of Medi
2023-03-01
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Series: | Precision and Future Medicine |
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Online Access: | http://pfmjournal.org/upload/pdf/pfm-2022-00128.pdf |
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author | 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 |
author_facet | 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 |
author_sort | Nur Izzati Umar Zaman |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-09T17:19:36Z |
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id | doaj.art-91fda7eb37c84afd9e1ec8c7727f23f9 |
institution | Directory Open Access Journal |
issn | 2508-7940 2508-7959 |
language | English |
last_indexed | 2024-04-09T17:19:36Z |
publishDate | 2023-03-01 |
publisher | Sungkyunkwan University School of Medi |
record_format | Article |
series | Precision and Future Medicine |
spelling | doaj.art-91fda7eb37c84afd9e1ec8c7727f23f92023-04-19T04:24:27ZengSungkyunkwan University School of MediPrecision and Future Medicine2508-79402508-79592023-03-0171334310.23838/pfm.2022.00128141Signatory metabolomics biomarkers of stress, anxiety, and depression: a proof of concept for precision health among university students: A cross-sectional studyNur Izzati Umar Zaman0Teh Lay Kek1Rohana Ahmad2Mohd Nur Fakhruzzaman Noorizhab3Mohd Salleh Rofiee4Richard Johari James5Norazmir Md Nor6Mawarni Mohamed7Teoh Sian Hoon8Parmjit Singh Arepar Singh9Roziah Mohd Janor10Sahol Hamid Abu Bakar11Mohd Zaki Salleh12 Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA Selangor, Puncak Alam Campus, Puncak Alam, Malaysia Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA Selangor, Puncak Alam Campus, Puncak Alam, Malaysia Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA Selangor, Puncak Alam Campus, Puncak Alam, Malaysia Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA Selangor, Puncak Alam Campus, Puncak Alam, Malaysia Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA Selangor, Puncak Alam Campus, Puncak Alam, Malaysia Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA Selangor, Puncak Alam Campus, Puncak Alam, Malaysia Faculty of Health Sciences, Universiti Teknologi MARA Selangor, Puncak Alam Campus, Puncak Alam, Malaysia Faculty Education, Universiti Teknologi MARA Selangor, Puncak Alam Campus, Puncak Alam, Malaysia Faculty Education, Universiti Teknologi MARA Selangor, Puncak Alam Campus, Puncak Alam, Malaysia Faculty Education, Universiti Teknologi MARA Selangor, Puncak Alam Campus, Puncak Alam, Malaysia Faculty of Computer & Mathematics, Universiti Teknologi MARA, Shah Alam, Malaysia Faculty of Civil Engineering, Universiti Teknologi MARA, Shah Alam, Malaysia Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA Selangor, Puncak Alam Campus, Puncak Alam, MalaysiaPurpose 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.http://pfmjournal.org/upload/pdf/pfm-2022-00128.pdfanxietybiomarkersdepressionmetabolomicsstudents |
spellingShingle | 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 Signatory metabolomics biomarkers of stress, anxiety, and depression: a proof of concept for precision health among university students: A cross-sectional study Precision and Future Medicine anxiety biomarkers depression metabolomics students |
title | Signatory metabolomics biomarkers of stress, anxiety, and depression: a proof of concept for precision health among university students: A cross-sectional study |
title_full | Signatory metabolomics biomarkers of stress, anxiety, and depression: a proof of concept for precision health among university students: A cross-sectional study |
title_fullStr | Signatory metabolomics biomarkers of stress, anxiety, and depression: a proof of concept for precision health among university students: A cross-sectional study |
title_full_unstemmed | Signatory metabolomics biomarkers of stress, anxiety, and depression: a proof of concept for precision health among university students: A cross-sectional study |
title_short | Signatory metabolomics biomarkers of stress, anxiety, and depression: a proof of concept for precision health among university students: A cross-sectional study |
title_sort | signatory metabolomics biomarkers of stress anxiety and depression a proof of concept for precision health among university students a cross sectional study |
topic | anxiety biomarkers depression metabolomics students |
url | http://pfmjournal.org/upload/pdf/pfm-2022-00128.pdf |
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