Huang Chiung-Yin, Tsai Ping-Ju, Wu Hsuan-Wen, Chen I-Ting, Wang Hay-Yan J
Neuroscience Research Center, Chang Gung Memorial Hospital, Taoyuan 333012, Taiwan.
Department of Neurosurgery, New Taipei Municipal TuCheng Hospital, New Taipei City 236027, Taiwan.
Metabolites. 2022 Nov 6;12(11):1075. doi: 10.3390/metabo12111075.
Prior MALDI mass spectrometry imaging (MALDI-MSI) studies reported significant changes in phosphatidylcholines (PCs), lysophosphatidylcholines (LPCs), and sphingomyelins (SMs) in ischemic rat brains yet overlooked the information on other classes of PLs and SLs and provided very little or no validation on the detected lipid markers. Relative quantitation of four classes of PLs and two classes of SLs in the ischemic and normal temporal cortex (TCX), parietal cortex (PCX), and striatum (ST) of rats was performed with hydrophilic interaction chromatography (HILIC)-tandem mass spectrometry (MS/MS) analyses, and the marker lipid species was identified by multivariate data analysis and validated with additional tissue cohorts. The acquired lipid information was sufficient in differentiating individual anatomical regions under different pathological states, identifying region-specific ischemic brain lipid markers and revealing additional PL and SL markers not reported previously. Validation of orthogonal partial least square discriminating analysis (OPLS-DA) identified ischemic brain lipid markers yielded much higher classification accuracy, precision, specificity, sensitivity, and lower false positive and false negative rates than those from the volcano plot analyses using conventional statistical significance and a fold change of two as the cutoff and provided a wider prospective to ischemia-associated brain lipid changes.
先前的基质辅助激光解吸电离质谱成像(MALDI-MSI)研究报告了缺血大鼠脑中磷脂酰胆碱(PCs)、溶血磷脂酰胆碱(LPCs)和鞘磷脂(SMs)的显著变化,但忽略了其他磷脂(PLs)和鞘脂(SLs)类别的信息,并且对检测到的脂质标志物几乎没有或没有进行验证。采用亲水相互作用色谱(HILIC)-串联质谱(MS/MS)分析对大鼠缺血和正常颞叶皮质(TCX)、顶叶皮质(PCX)和纹状体(ST)中的四类PLs和两类SLs进行相对定量,并通过多变量数据分析鉴定标志物脂质种类,并用额外的组织队列进行验证。所获得的脂质信息足以区分不同病理状态下的各个解剖区域,识别区域特异性缺血性脑脂质标志物,并揭示先前未报道的其他PL和SL标志物。与使用传统统计显著性和两倍变化倍数作为截断值的火山图分析相比,对正交偏最小二乘判别分析(OPLS-DA)鉴定的缺血性脑脂质标志物进行验证产生了更高的分类准确性、精密度、特异性、灵敏度,以及更低的假阳性和假阴性率,并为缺血相关脑脂质变化提供了更广阔的前景。