Identification of Potential Protein Biomarkers in a Depressed Chinese Malaysian University Student Using Liquid Chromatography-Tandem Mass Spectrometry

S. Yap, C. N. Foo, Yang Mooi Lim, Foong Leng Ng, P. Tang, Jagjit Kaur Najar Singh, Sherina Mohd-Sidik, K. Pheh
{"title":"Identification of Potential Protein Biomarkers in a Depressed Chinese Malaysian University Student Using Liquid Chromatography-Tandem Mass Spectrometry","authors":"S. Yap, C. N. Foo, Yang Mooi Lim, Foong Leng Ng, P. Tang, Jagjit Kaur Najar Singh, Sherina Mohd-Sidik, K. Pheh","doi":"10.3390/ecb2023-14089","DOIUrl":null,"url":null,"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.","PeriodicalId":265361,"journal":{"name":"The 2nd International Electronic Conference on Biomedicines","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2nd International Electronic Conference on Biomedicines","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/ecb2023-14089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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.
液相色谱-串联质谱法鉴定马来西亚华裔大学生抑郁症的潜在蛋白质生物标志物
抑郁症是一种严重的心理障碍,发病率很高,尤其是在大学生中。与免疫系统、氧和脂质转移相关的血清蛋白可能在抑郁症的发展中发挥作用,并可能作为抑郁症的生物标志物。目前,缺乏准确的生物学方法来诊断抑郁症。生物标志物可能是预测抑郁症和了解其病理生理的一种廉价而方便的方法。本研究旨在筛选抑郁症学生的血清蛋白质组谱,以确定潜在的抑郁症生物标志物。从测试前研究中招募的一名马来西亚私立大学学生(n = 10)进一步分析了血清蛋白质组,因为他患有抑郁症,在患者健康问卷(PHQ-9)中得分为15分(总分27分)。从血清样品中剔除高丰度蛋白后,采用液相色谱-串联质谱法(LC-MS/MS)对表达蛋白进行鉴定。共鉴定出224个蛋白。球蛋白、球蛋白、载脂蛋白和糖蛋白最常被检测到。在这里,我们展示了可用于识别抑郁症易感个体的潜在生物标志物。这些发现可能与新的诊断和治疗策略的发展有关。然而,进一步的研究需要更大的样本量和健康对照来证实这些候选生物标志物在预测和诊断抑郁症方面的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信