Karmelić Ivana, Rubić Ivana, Starčević Katarina, Ozretić David, Poljaković Zdravka, Sajko Mia Jurilj, Kalousek Vladimir, Kalanj Rafaela, Rešetar Maslov Dina, Kuleš Josipa, Roje Bedeković Marina, Sajko Tomislav, Rotim Krešimir, Mrljak Vladimir, Fabris Dragana
Department of Medical Chemistry, Biochemistry and Clinical Chemistry, School of Medicine, University of Zagreb, Šalata 3, 10000 Zagreb, Croatia.
Laboratory of Proteomics, Clinic for Internal Diseases, Faculty of Veterinary Medicine, University of Zagreb, Heinzelova 55, 10000 Zagreb, Croatia.
Biomedicines. 2024 Aug 2;12(8):1731. doi: 10.3390/biomedicines12081731.
Ischemic stroke is one of the leading causes of death and permanent disability in the world. Rapid diagnosis and intervention are crucial for reducing its consequences on individuals and societies. Therefore, identifying reliable biomarkers for early detection, prognostics, and therapy can facilitate the early prediction and prevention of stroke. Metabolomics has been shown as a promising tool for biomarker discovery since many post-ischemic metabolites can be found in the plasma or serum of the patient. In this research, we performed a comparative targeted metabolomic analysis of stroke thrombi, stroke patient serums, and healthy control serums in order to determine the alteration in the patients' metabolomes, which might serve as biomarkers for early prediction or stroke prevention. The most statistically altered metabolites characterized in the patient serums compared with the control serums were glutamate and serotonin, followed by phospholipids and triacylglycerols. In stroke thrombi compared with the patients' serums, the most significantly altered metabolites were classified as lipids, with choline-containing phospholipids and sphingomyelins having the highest discriminatory score. The results of this preliminary study could help in understanding the roles of different metabolic changes that occur during thrombosis and cerebral ischemia and possibly suggest new metabolic biomarkers for ischemic stroke.
缺血性中风是全球主要的死亡和永久性残疾原因之一。快速诊断和干预对于减轻其对个人和社会的影响至关重要。因此，识别用于早期检测、预后评估和治疗的可靠生物标志物有助于早期预测和预防中风。代谢组学已被证明是一种有前景的生物标志物发现工具，因为在患者的血浆或血清中可以发现许多缺血后代谢物。在本研究中，我们对中风血栓、中风患者血清和健康对照血清进行了比较靶向代谢组学分析，以确定患者代谢组的变化，这些变化可能作为早期预测或中风预防的生物标志物。与对照血清相比，患者血清中统计学上变化最明显的代谢物是谷氨酸和血清素，其次是磷脂和三酰甘油。与患者血清相比，中风血栓中变化最显著的代谢物归类为脂质，含胆碱的磷脂和鞘磷脂具有最高的鉴别分数。这项初步研究的结果有助于理解血栓形成和脑缺血期间发生的不同代谢变化的作用，并可能为缺血性中风提出新的代谢生物标志物。
