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Identification of potential protein biomarkers in a depressed chinese malaysian university student using liquid chromatography-tandem mass spectrometry


Citation

Sin, Yee Yap and Chai, Nien Foo and Yang, Mooi Lim and Foong, Leng Ng and Pek, Yee Tang and Najar Singh, Jagjit Kaur and Mohd-Sidik, Sherina and Kai-Shuen, Pheh (2023) Identification of potential protein biomarkers in a depressed chinese malaysian university student using liquid chromatography-tandem mass spectrometry. Medical Sciences Forum, 21 (1). art. no. 10. pp. 1-6. ISSN 2673-9992; ESSN: 2673-9992

Abstract

Depression is a serious psychological disorder with high prevalence rates, especially among university students. Serum proteins related to the immune system and 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 that can be used 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 the fact that 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 that can be used to identify depression vulnerable individuals. These findings may 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.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Medicine and Health Science
DOI Number: https://doi.org/10.3390/ecb2023-14089
Publisher: Multidisciplinary Digital Publishing Institute
Keywords: Protein markers; Depressed; Chinese; Malaysian; University students
Depositing User: Ms. Zaimah Saiful Yazan
Date Deposited: 11 Sep 2024 03:21
Last Modified: 11 Sep 2024 03:21
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/ecb2023-14089
URI: http://psasir.upm.edu.my/id/eprint/108249
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