Identification of Potential Protein Biomarkers in a Depressed Chinese Malaysian University Student Using Liquid Chromatography-Tandem Mass Spectrometry
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. Curren...
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MDPI AG
2023-06-01
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| Online Access: | https://www.mdpi.com/2673-9992/21/1/10 |
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| author | Sin Yee Yap Chai Nien Foo Yang Mooi Lim Foong Leng Ng Pek Yee Tang Jagjit Kaur Najar Singh Sherina Mohd-Sidik Kai-Shuen Pheh |
| author_facet | Sin Yee Yap Chai Nien Foo Yang Mooi Lim Foong Leng Ng Pek Yee Tang Jagjit Kaur Najar Singh Sherina Mohd-Sidik Kai-Shuen Pheh |
| author_sort | Sin Yee Yap |
| collection | DOAJ |
| description | 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 (<i>n</i> = 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. |
| first_indexed | 2024-03-08T20:29:28Z |
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| institution | Directory Open Access Journal |
| issn | 2673-9992 |
| language | English |
| last_indexed | 2024-03-08T20:29:28Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Medical Sciences Forum |
| spelling | doaj.art-e5263287e47c44cebc6d6fbadc83896d2023-12-22T14:28:40ZengMDPI AGMedical Sciences Forum2673-99922023-06-012111010.3390/ECB2023-14089Identification of Potential Protein Biomarkers in a Depressed Chinese Malaysian University Student Using Liquid Chromatography-Tandem Mass SpectrometrySin Yee Yap0Chai Nien Foo1Yang Mooi Lim2Foong Leng Ng3Pek Yee Tang4Jagjit Kaur Najar Singh5Sherina Mohd-Sidik6Kai-Shuen Pheh7Centre for Cancer Research, M. Kandiah Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, PT21144, Jalan Sungai Long, Bandar Sungai Long, Kajang 43000, MalaysiaCentre for Cancer Research, M. Kandiah Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, PT21144, Jalan Sungai Long, Bandar Sungai Long, Kajang 43000, MalaysiaCentre for Cancer Research, M. Kandiah Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, PT21144, Jalan Sungai Long, Bandar Sungai Long, Kajang 43000, MalaysiaCentre for Cancer Research, M. Kandiah Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, PT21144, Jalan Sungai Long, Bandar Sungai Long, Kajang 43000, MalaysiaDepartment of Mechatronics and Biomedical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, PT21144, Jalan Sungai Long, Bandar Sungai Long, Kajang 43000, MalaysiaCentre for Cancer Research, M. Kandiah Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, PT21144, Jalan Sungai Long, Bandar Sungai Long, Kajang 43000, MalaysiaDepartment of Psychiatry, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, UPM Serdang, Seri Kembangan 43400, MalaysiaDepartment of Psychology and Counselling, Faculty of Arts and Social Science, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, Kampar 31900, MalaysiaDepression 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 (<i>n</i> = 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.https://www.mdpi.com/2673-9992/21/1/10depressiondepressive disorderserum proteomeproteomicsbiomarkerprotein markers |
| spellingShingle | Sin Yee Yap Chai Nien Foo Yang Mooi Lim Foong Leng Ng Pek Yee Tang Jagjit Kaur Najar Singh Sherina Mohd-Sidik Kai-Shuen Pheh Identification of Potential Protein Biomarkers in a Depressed Chinese Malaysian University Student Using Liquid Chromatography-Tandem Mass Spectrometry Medical Sciences Forum depression depressive disorder serum proteome proteomics biomarker protein markers |
| title | Identification of Potential Protein Biomarkers in a Depressed Chinese Malaysian University Student Using Liquid Chromatography-Tandem Mass Spectrometry |
| title_full | Identification of Potential Protein Biomarkers in a Depressed Chinese Malaysian University Student Using Liquid Chromatography-Tandem Mass Spectrometry |
| title_fullStr | Identification of Potential Protein Biomarkers in a Depressed Chinese Malaysian University Student Using Liquid Chromatography-Tandem Mass Spectrometry |
| title_full_unstemmed | Identification of Potential Protein Biomarkers in a Depressed Chinese Malaysian University Student Using Liquid Chromatography-Tandem Mass Spectrometry |
| title_short | Identification of Potential Protein Biomarkers in a Depressed Chinese Malaysian University Student Using Liquid Chromatography-Tandem Mass Spectrometry |
| title_sort | identification of potential protein biomarkers in a depressed chinese malaysian university student using liquid chromatography tandem mass spectrometry |
| topic | depression depressive disorder serum proteome proteomics biomarker protein markers |
| url | https://www.mdpi.com/2673-9992/21/1/10 |
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