Loftus Neil, Miseki Kozo, Iida Junko, Gika Helen G, Theodoridis Georgios, Wilson Ian D
Shimadzu Corporation, 1 Nishinokyo-Kuwabaracho, Nakagyo-ku, Kyoto 604-8511, Japan.
Rapid Commun Mass Spectrom. 2008 Aug;22(16):2547-54. doi: 10.1002/rcm.3640.
High mass accuracy electrospray ionisation multistage tandem mass spectrometry (MS(n)) was applied to metabolite profiling studies on plasma samples derived from two strains of rat (the Zucker (fa/fa) obese strain and the normal wild type). Using a quadrupole ion trap time-of-flight (QIT-TOF) mass spectrometer, metabolite profiling software was applied to locate components of biological significance that could account for the differences between the two strains of rat and a formula prediction software tool was used to help identify individual components. The primary factor discriminating between the two populations was the concentration of endogenous lipids. In the Zucker (fa/fa) obese strain, the dominant ion signals and MS(n) spectra were in agreement with lysoglycerophosphocholine components such as palmitoyllysophosphatidylcholine, 1-oleoylglycerophosphocholine, 1-octadecyl-sn-glycero-3-phosphocholine and 1-stearoylglycerophosphocholine and these were found in relatively higher concentrations compared to the normal wild type. Components were identified using high mass accuracy MS(n) data, formula prediction software and by agreement with published mass spectra through internet databases, rather than using a conventional approach with authentic standards. This application shows that the use of high mass accuracy electrospray ionisation MS(n) together with a software tool can be used effectively to detect and characterise unknown analytes in complex matrices, and represents a promising approach for future profiling studies.
高质量精度电喷雾电离多级串联质谱法(MS(n))被应用于对源自两种大鼠品系(Zucker (fa/fa) 肥胖品系和正常野生型)的血浆样本进行代谢物谱分析研究。使用四极杆离子阱飞行时间(QIT-TOF)质谱仪,应用代谢物谱分析软件来定位具有生物学意义的成分,这些成分可以解释两种大鼠品系之间的差异,并使用公式预测软件工具来帮助识别单个成分。区分这两个群体的主要因素是内源性脂质的浓度。在Zucker (fa/fa) 肥胖品系中,主要离子信号和MS(n) 谱与溶血甘油磷脂胆碱成分一致,如棕榈酰溶血磷脂酰胆碱、1-油酰基甘油磷脂胆碱、1-十八烷基-sn-甘油-3-磷酸胆碱和1-硬脂酰甘油磷脂胆碱,并且与正常野生型相比,这些成分的浓度相对较高。使用高质量精度的MS(n) 数据、公式预测软件并通过与互联网数据库中已发表的质谱图进行比对来鉴定成分,而不是使用传统的 authentic标准方法。该应用表明,将高质量精度电喷雾电离MS(n) 与软件工具结合使用可以有效地检测和表征复杂基质中的未知分析物,并且代表了未来谱分析研究的一种有前景的方法。