Qu Biqiong, Feng Menghan, Liu Lirong, Cong Shiyu, Cai Shengnan, Wang Tengteng, Qiao Yun, Shi Lixia, Liu Jie, Xiao Hongbin
School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 100029, China.
Beijing Research Institute of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
Anal Bioanal Chem. 2025 May 6. doi: 10.1007/s00216-025-05884-2.
Glycerophospholipids play important roles in iron-induced lipid peroxidation during cerebral ischemia-reperfusion, making it essential to investigate changes in their varieties and concentrations under these conditions. However, the wide range of glycerophospholipid contents, particularly the low-abundance species in actual biological samples, posed a challenge for comprehensive analysis. In this study, an iterative quadrupole time-of-flight mass spectrometry (Q-ToF-MS/MS) method was established with the aim of comprehensively detecting glycerophospholipids. This method was a data acquisition strategy implemented through iterative analyses. In each iteration, ions detected in previous runs were excluded, allowing low-abundance glycerophospholipids that were missed by the usual analysis to be extensively detected by a simplified operational process. Using this strategy, 254 glycerophospholipids including 157 PCs, 67 PEs, 19 PGs, 9 PIs, 7 PSs and 5 PAs in rat brain samples were identified after four iterations, and the number of glycerophospholipid species increased by 93.9% compared to a single assay, significantly enhancing the coverage of glycerophospholipid detection. Furthermore, the characteristic fragmentation patterns of six glycerophospholipid subclasses were systematically summarized to improve the accuracy of qualitative identification. In addition, these patterns were also used to construct an ion pair database containing 254 glycerophospholipids, enabling targeted multiple reaction monitoring (MRM) analysis under the optimized high-performance liquid chromatography-tandem triple quadrupole mass spectrometry (HPLC-QQQ-MS/MS) conditions. By comparing the changed glycerophospholipids of rat brains from the normal and cerebral ischemia-reperfusion injury groups, 29 glycerophospholipids were recognized as the potential biomarkers for cerebral ischemia-reperfusion injury, among which nine glycerophospholipids were particularly detected by four iterations. Overall, this iterative MS/MS approach extensively expanded the coverage of low-abundance components, and has been proven to be an effective approach in biomarker screening of cerebral ischemia-reperfusion injury.
甘油磷脂在脑缺血再灌注过程中由铁诱导的脂质过氧化反应中起重要作用,因此研究在这些条件下其种类和浓度的变化至关重要。然而,甘油磷脂含量范围广泛,尤其是实际生物样品中的低丰度种类,这给全面分析带来了挑战。在本研究中,建立了一种迭代四极杆飞行时间质谱(Q-ToF-MS/MS)方法,旨在全面检测甘油磷脂。该方法是一种通过迭代分析实施的数据采集策略。在每次迭代中,排除前一轮运行中检测到的离子,通过简化的操作流程,使通常分析遗漏的低丰度甘油磷脂能够被广泛检测到。采用该策略,经过四次迭代后,在大鼠脑样品中鉴定出254种甘油磷脂,包括157种磷脂酰胆碱(PC)、67种磷脂酰乙醇胺(PE)、19种磷脂酰甘油(PG)、9种磷脂酰肌醇(PI)、7种磷脂酰丝氨酸(PS)和5种磷脂酸(PA),与单次检测相比,甘油磷脂种类数量增加了93.9%,显著提高了甘油磷脂检测的覆盖率。此外,系统总结了六种甘油磷脂亚类的特征性碎片模式,以提高定性鉴定的准确性。此外,这些模式还用于构建包含254种甘油磷脂的离子对数据库,以便在优化的高效液相色谱-串联三重四极杆质谱(HPLC-QQQ-MS/MS)条件下进行靶向多反应监测(MRM)分析。通过比较正常组和脑缺血再灌注损伤组大鼠脑内变化的甘油磷脂,识别出29种甘油磷脂作为脑缺血再灌注损伤的潜在生物标志物,其中有9种甘油磷脂是通过四次迭代特别检测到的。总体而言,这种迭代MS/MS方法广泛扩展了低丰度成分的覆盖范围,已被证明是脑缺血再灌注损伤生物标志物筛选的有效方法。