Department of Chemistry, Yonsei University, Seoul, 120-749, South Korea.
Anal Bioanal Chem. 2010 Feb;396(3):1273-80. doi: 10.1007/s00216-009-3292-9. Epub 2009 Nov 25.
Analysis was performed on four different categories of phospholipids (phosphatidylserine (PS), phosphatidylinositol (PI), phosphatidylglycerol (PG), and phosphatidic acid (PA)) from urine in patients with breast cancer. This quantitative analysis was conducted using nanoflow liquid chromatography-electrospray ionization-tandem mass spectrometry (nLC-ESI-MS-MS). This study shows the profiling of the phospholipids (PLs) that can be identified by the negative ion mode of MS. A previous study (Kim et al. Anal. Bioanal. Chem. 393:1649, 21) focused on only two PL classes: phosphatidylcholines (PCs) and phosphatidylethanolamines (PEs) and were identified by positive ion mode. PLs were extracted by lyophilization of 1 mL of urine from both healthy normal females and breast cancer patients before and after surgery. Separation of PLs was performed by nLC followed by structural identification of PLs using data-dependent collision-induced dissociation. A total of 34 urinary PL molecules (12 PSs, 12 PIs, four PGs, and six PAs) were quantitatively examined. Among the four PL categories examined in this study, most PL classes showed an increase in the total amounts in the cancer patients, yet PIs exhibited some decreases. The present study suggests that the lipid composition found in the urine of breast cancer patients can be utilized for the possible development of disease markers, when the analysis is performed with negative ion mode of nLC-ESI-MS-MS.
对乳腺癌患者尿液中的四种不同类别磷脂(磷脂酰丝氨酸(PS)、磷脂酰肌醇(PI)、磷脂酰甘油(PG)和磷脂酸(PA))进行了分析。该定量分析采用纳流液相色谱-电喷雾电离-串联质谱(nLC-ESI-MS-MS)进行。本研究展示了可以通过 MS 的负离子模式识别的磷脂(PLs)的剖析。先前的一项研究(Kim 等人,Anal. Bioanal. Chem. 393:1649, 21)仅关注两种 PL 类:磷脂酰胆碱(PCs)和磷脂酰乙醇胺(PEs),并通过正离子模式进行鉴定。PLs 通过对健康正常女性和乳腺癌患者术前和术后 1 毫升尿液进行冻干提取。PLs 的分离通过 nLC 进行,然后使用数据依赖性碰撞诱导解离对 PLs 的结构进行鉴定。总共定量检查了 34 种尿 PL 分子(12 个 PS、12 个 PI、4 个 PG 和 6 个 PA)。在本研究中检查的四个 PL 类别中,大多数 PL 类别的总含量在癌症患者中增加,但 PI 则略有下降。本研究表明,当使用 nLC-ESI-MS-MS 的负离子模式进行分析时,乳腺癌患者尿液中发现的脂质组成可用于可能开发疾病标志物。