中国科学院化学研究所机构知识库
Advanced  
ICCAS OpenIR  > 活体分析化学实验室  > 期刊论文
题名: High resolution mass spectrometry coupled with multivariate data analysis revealing plasma lipidomic alteration in ovarian cancer in Asian women
作者: Zhang, Yangyang1; Liu, Yingying2; Li, Lin1, 3; Wei, Jinchao1; Xiong, Shaoxiang1; Zhao, Zhenwen1, 3
关键词: Mass spectrometry ; Lipidomics ; Ovarian cancer ; Multivariate data analysis ; Glycerophospholipid metabolism
刊名: TALANTA
发表日期: 2016-04-01
卷: 150, 页:88-96
收录类别: SCI
英文摘要: Ovarian cancer (OC) is the most common cause of death from gynecologic malignancies in women. The identification of reliable diagnostic biomarkers for the early detection of this deadly disease is critical for reducing the mortality rate of OC. Plasma lysophosphatidic acid (LPA) levels were increased from OC patients vs. healthy controls. Therefore, lipidomics may represent an excellent developing prospect for the discovery of diagnostic biomarkers of OC. In this study, a nontargeted lipidomics approach based on ultra performance liquid chromatography-electrospray ionization-QTOF-mass spectrometry (UPLC-ESI-QTOF-MS) combined with multivariate data analysis, including principal component analysis (PCA) and (orthogonal) partial least squared discriminant analysis [(0)PLS-DA] was applied for the investigation of potential diagnostic biomarkers in plasma of OC patients. Patients with OC could be distinguished from healthy individuals and patients with benign gynecological tumor disease by this method, which shows a significant lipid perturbation in this disease. With the assistance of high resolution and high accuracy of MS and MS/MS data, the potential markers including lysophosphatidylcholines (LPCs), phosphatidylcholines (PCs) and triacylglycerols (TGs) with specific fatty acid chains, were identified. Interestingly, LPCs were up-regulated and PCs and TGs were down-regulated, compared OC group with benign tumor and normal control groups, and the glycerophospholipid metabolism emerged as a key pathway, in particular, the phospholipase A2 (PLA2) enzyme activity, that was disregulated in the disease. This study may provide new insight into underlying mechanisms for OC and proves that MS-based lipidomics is a powerful method in discovering new potential clinical biomarkers for diseases. (C) 2015 Elsevier B.V. All rights reserved.
语种: 英语
内容类型: 期刊论文
URI标识: http://ir.iccas.ac.cn/handle/121111/35850
Appears in Collections:活体分析化学实验室_期刊论文

Files in This Item:

There are no files associated with this item.


作者单位: 1.Chinese Acad Sci, Key Lab Analyt Chem Living Biosyst, Beijing Natl Lab Mol Sci, Inst Chem,Beijing Mass Spectrum Ctr, Beijing 100190, Peoples R China
2.Peking Univ, Shougang Hosp, Dept Obstet & Gynecol, Beijing 100144, Peoples R China
3.Univ Chinese Acad Sci, Grad Sch, Beijing 100049, Peoples R China
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Zhang, Yangyang]'s Articles
[Liu, Yingying]'s Articles
[Li, Lin]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Zhang, Yangyang]‘s Articles
[Liu, Yingying]‘s Articles
[Li, Lin]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2017  中国科学院化学研究所 - Feedback
Powered by CSpace