基本信息来源于合作网站,原文需代理用户跳转至来源网站获取       
摘要:
The purpose of this preliminary study was to determine the comparative lipid profile of blood plasma samples of healthy individuals and patients with Myeloproliferative Neoplasms. Methods: Untargeted Shotgun MS/MS Analysis was performed to evaluate plasma samples from 153 participants, being 90 of the Control Group, 43 Myeloproliferative Neoplasms (MPN), 11 Myelodysplastic Syndromes (MDS) and 9 Acute Myeloid Leukemias (AML). Lipids were extracted from plasma using the Bligh-Dyer protocol. Data were acquired using the AB-Sciex Analyst TF, processed using the AB-Sciex LipidViewTM and the web-based analytical pipeline MetaboAnalyst 2.0 (www.metaboanalyst.ca). Results: Untargeted analysis identified in negative and positive-modes a total of 658 features at 2 ppm resolution. PCA and PLS-DA analysis revealed clear discrimination among groups, in particular for AML patients. Main lipid groups differentially expressed were: Monoacylglycerols (MAG), Glucosylceramide E (GlcdE), Ethyl Esters (EE), Lysophosphatidic acid (LPA), Sulfoquinovosil diacylglycerols (SQDG), Monoglycerols (MG), Methyl Ethanolamines (ME), Lysophosphatidylcholines (LPC), Dimethyl Phosfatidyletanolamines (DMPE), Monometylphosphatidiletanolamines (MMPE), Ceramide-1-phosphate (CerP), Glicerophosphoglycerols (GP), Lysomonomethyl-Phosphatidylethanolamines (LMMPE), Phosphatidic Acids (PA), Ergosterols (ERG), Glycerophosphoserine (PS), Diacylglycerols (DAG), Hexocylceramides (HexCer) and Lanosterol (Lan). ROC Curve Analysis revealed Total LMMPE as the strongest discriminating marker between Controls from Patients. In addition, these lipids were also able to differentiate MDS and AML from NPM. Conclusions: The Myeloproliferative Neoplasms from the point of view of global plasma lipidomics are accompanied by several modifications. In particular, the Lysomonomethyl-Phosphatidylethanolamines (LMMPE) seems to play important differentiating roles among them.
推荐文章
多元线性Profile控制图
线性Profile
统计量
马尔科夫链
ICC Profile自动生成技术
色彩管理
CMM
Profile
以Lipid A为靶点拮抗内毒素中药的筛选
内毒素
脂质A
生物传感器
中药
筛选
基于UML Profile的关联规则挖掘元模型研究
统一建模语言扩展
版类
关联规则
数据挖掘
元模型
决策支持系统
内容分析
关键词云
关键词热度
相关文献总数  
(/次)
(/年)
文献信息
篇名 Initial Analysis of Lipid Metabolomic Profile Reveals Differential Expression Features in Myeloid Malignancies
来源期刊 癌症治疗(英文) 学科 医学
关键词 LIPIDS LIPIDOMICS MYELOPROLIFERATIVE Neoplasms Mass Spectrometry
年,卷(期) 2015,(15) 所属期刊栏目
研究方向 页码范围 1262-1272
页数 11页 分类号 R73
字数 语种
DOI
五维指标
传播情况
(/次)
(/年)
引文网络
引文网络
二级参考文献  (0)
共引文献  (0)
参考文献  (0)
节点文献
引证文献  (0)
同被引文献  (0)
二级引证文献  (0)
2015(0)
  • 参考文献(0)
  • 二级参考文献(0)
  • 引证文献(0)
  • 二级引证文献(0)
研究主题发展历程
节点文献
LIPIDS
LIPIDOMICS
MYELOPROLIFERATIVE
Neoplasms
Mass
Spectrometry
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
癌症治疗(英文)
月刊
2151-1934
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
606
总下载数(次)
0
总被引数(次)
0
论文1v1指导