液相色谱-质谱用于卵巢肿瘤中磷脂轮廓的分析  被引量:5

Study of phospholipid profile of ovarian tumor by high performance liquid chromatography-mass spectrometry

在线阅读下载全文

作  者:赵素敏[1,2] 王宜生[3] 窦阿波[1] 陈静[1] 路鑫[1] 曹锐 徐丛剑[3] 许国旺[1] 

机构地区:[1]中国科学院分离分析化学重点实验室中国科学院大连化学物理研究所,辽宁大连116023 [2]中国科学院研究生院,北京100049 [3]复旦大学生物医学研究院上海医学院附属妇产科医院,上海200011 [4]大连市附属妇产科医院,辽宁大连116033

出  处:《色谱》2011年第9期843-850,共8页Chinese Journal of Chromatography

基  金:科技部蛋白质科学重大研究计划项目(2007CB914701)和科技部国际科技合作项目(2009DFA41250)

摘  要:卵巢肿瘤日益影响女性的健康和生活质量,其中的卵巢癌是女性三大恶性肿瘤之一,死亡率高居三者之首。因此卵巢肿瘤尤其卵巢癌是目前的一个研究热点。本研究利用液相色谱-质谱(LC-MS)联用技术对卵巢肿瘤进行磷脂轮廓分析,研究良性卵巢肿瘤(B)和卵巢癌(M)的患者血清中磷脂代谢的差异情况。首先用LC-MS采集血清中磷脂的指纹图谱,通过峰识别、峰匹配等得到峰表,然后利用正交校正的偏最小二乘法(OSC-PLS)进行多种分型,根据模型的变量重要因子(VIP)、VIP值的置信区间、S图和显著性差异检验结果等筛选有差异的磷脂。结果显示:M组和B组与正常对照(N)组比较都存在明显的磷脂代谢差异,发生改变的磷脂主要为缩醛磷脂酰乙醇胺、磷脂酰胆碱、缩醛磷脂酰胆碱、鞘磷脂和溶血磷脂酰胆碱。Ovarian tumor has been paid more and more attention since its influence on women's health and life quality is increasing.Ovarian cancer is one of the three gynecologic cancers,and its mortality is the highest one of them.Phospholipid metabolic profiling method based on high performance liquid chromatography-electrospray mass spectrometry(HPLC/ESI-MS) has been applied in the study of ovarian tumors including benign(B) and malignant(M) ovarian tumors.The data of phospholipid profile collected by HPLC/ESI-MS were transformed and the peak list was obtained with the commercial software automatically.The total differences of phospholipids among M,B and normal(N) groups were found with the orthogonal signal correction and partial least-squares(OSC-PLS).Further,the differential phospholipids were selected according to the S-plot,the variable importance value(VIP1) and p(p0.05).These phospholipids were plasmalogen phospatidylethanol,phosphatidylcholine,plasmalogen phosphatidylcholine,sphingomyelin and lysophosphatidylcholine.This research provides some new and useful information of what has happened in phospholipids of the women with ovarian tumors.

关 键 词:液相色谱-质谱 磷脂轮廓 卵巢肿瘤 卵巢癌 

分 类 号:O658[理学—分析化学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象