Cheng Chih-Ning, Lee Chung-Wei, Lee Ching-Hua, Tang Sung-Chun, Kuo Ching-Hua
School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan.
Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan.
J Cereb Blood Flow Metab. 2025 May 5:271678X251327944. doi: 10.1177/0271678X251327944.
Acute ischemic stroke (AIS) requires detailed etiology information to guide optimal management. Given the pivotal role of lipids in AIS, we conducted a comprehensive lipidomics analysis of paired thrombi and plasma from AIS patients, correlating the findings with stroke etiology. Patients were recruited across four etiologies: cardioembolism (CE), large artery atherosclerosis (LAA), active cancer (Cancer), and undetermined. Plasma and thrombi were collected before and during endovascular thrombectomy and analyzed using in-house targeted lipidomics. Among 51 patients (37 CE, 7 LAA, 4 Cancer, and 3 undetermined), we identified 37 and 70 lipid species significantly different between thrombi in CE and LAA, and CE and Cancer, respectively (FDR-corrected 0.05). No significant differences were observed in plasma. Notably, 21 diacylglycerols and 11 polyunsaturated triacylglycerols were depleted (2.5 to 12 folds) in LAA compared to CE, while 10 ceramides and 57 glycerophospholipids were elevated in Cancer. With 80% validation accuracy, 29 and 59 lipids distinguished LAA and Cancer from CE, respectively. A neural network model using these lipids effectively classified undetermined patients. This study emphasizes the significance of thrombus lipids in distinguishing between LAA, CE, and Cancer etiologies in AIS, enhancing our understanding of stroke pathophysiology and informing future clinical managements.
急性缺血性卒中(AIS)需要详细的病因信息来指导最佳治疗。鉴于脂质在AIS中的关键作用,我们对AIS患者的配对血栓和血浆进行了全面的脂质组学分析,并将结果与卒中病因相关联。患者按四种病因招募:心源性栓塞(CE)、大动脉粥样硬化(LAA)、活动性癌症(癌症)和病因不明。在血管内血栓切除术之前和期间收集血浆和血栓,并使用内部靶向脂质组学进行分析。在51例患者(37例CE、7例LAA、4例癌症和3例病因不明)中,我们分别鉴定出CE与LAA以及CE与癌症的血栓之间有37种和70种脂质种类存在显著差异(FDR校正P<0.05)。血浆中未观察到显著差异。值得注意的是,与CE相比,LAA中有21种二酰基甘油和11种多不饱和三酰基甘油减少(2.5至12倍),而癌症中有10种神经酰胺和57种甘油磷脂升高。分别有29种和59种脂质以80%的验证准确率区分LAA和癌症与CE。使用这些脂质的神经网络模型有效地对病因不明的患者进行了分类。本研究强调了血栓脂质在区分AIS中LAA、CE和癌症病因方面的重要性,增强了我们对卒中病理生理学的理解,并为未来的临床治疗提供了依据。