EventsThe 2nd International Electronic Conference on Biomedicines
Published
This submission belongs to the session S2. Molecular Mechanisms of Neurodegeneration of the event The 2nd International Electronic Conference on Biomedicines
Published date
09 Jun, 2023
Academic Editor
author-avatarMasaru Tanaka
Citation
Chai Nien Foo, Sin Yee Yap, Yang Mooi Lim, Foong Leng Ng, Sherina Mohd-Sidik, Pek Yee Tang, Jagjit Kaur Najar Singh, Kai-Shuen Pheh, Identification of potential protein biomarkers in a depressed Chinese Malaysian university student using liquid chromatography-tandem mass spectrometry, in Proceedings of The 2nd International Electronic Conference on Biomedicines, 1 March–31 March 2023, MDPI: Basel, Switzerland, doi: 10.3390/ECB2023-14089
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Identification of potential protein biomarkers in a depressed Chinese Malaysian university student using liquid chromatography-tandem mass spectrometry

Sin Yee Yap 1
Jagjit Kaur Najar Singh 7
1. Centre for Cancer Research, M.Kandiah Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, PT21144, Jalan Sungai Long, Bandar Sungai Long, Kajang 43000, Selangor, Malaysia
2. Department of Population Medicine, M.Kandiah Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, PT21144, Jalan Sungai Long, Bandar Sungai Long, Kajang 43000, Selangor, Malaysia, Malaysia
3. Department of Pre-Clinical Science, M.Kandiah Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, Lot PT21144, Jalan Sungai Long, Bandar Sungai Long, Kajang 43000, Selangor, Malaysia
4. Department of Traditional Chinese Medicine, M.Kandiah Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, PT21144, Jalan Sungai Long, Bandar Sungai Long, Kajang 43000, Selangor, Malaysia
5. Department of Psychiatry, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, UPM Serdang, Seri Kembangan 43400, Selangor, Malaysia
6. Department of Mechatronics and Biomedical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Lot PT21144, Jalan Sungai Long, Bandar Sungai Long, Kajang 43000, Selangor, Malaysia
7. Department of Nursing, M.Kandiah Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, PT21144, Jalan Sungai Long, Bandar Sungai Long, Kajang 43000, Selangor, Malaysia
8. Department of Psychology and Counselling, Faculty of Arts and Social Science, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, Kampar 31900, Perak, Malaysia
Abstract

Depression is a serious psychological disorder with high prevalent rates, especially among university students. Serum proteins related to immune system, oxygen and lipid transfer could have contributing roles in the development of depression and could act as biomarkers for depression. Currently, there is a lack of accurate biological methods to diagnose depression. Biomarkers could be an inexpensive and convenient way to predict depression and understand its pathophysiology. This study aimed to screen the serum proteome profile of a depressed student for the identification of potential depression biomarkers. A Malaysian private university student who was recruited from the pre-test study (n=10) was further analyzed for serum proteome, due to he was depressed with scores of 15 out of 27 on the Patient Health Questionnaire (PHQ-9). After depleting the high-abundance proteins from the serum sample, liquid chromatography-tandem mass spectrometry (LC-MS/MS) was performed to identify the expressed proteins. A total of 224 proteins were identified. Globins, globulins, apolipoproteins and glycoproteins were most commonly detected. Here we show the potential biomarkers to identify depression vulnerable individuals. These findings can be relevant to the development of new diagnostic and treatment strategies. However, further studies with larger sample sizes and healthy controls are needed to confirm the role of these candidate biomarkers for the prediction and diagnosis of depression.

Keywords
depression
depressive disorder
serum proteome
proteomics
biomarker
protein markers
identification
university student
case study
LCMS
Manuscript
Oral Presentation
Poster
case study ppt ...pdf
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