Department of Physics and Biophysics, The Faculty of Biotechnology and Food Science, Wrocław University of Environmental and Life Sciences, 50-375 Wrocław, Poland.
Department of Biomedical Engineering, Faculty of Fundamental Problems of Technology, Wrocław University of Science and Technology, 50-370 Wrocław, Poland.
Int J Mol Sci. 2024 Jul 16;25(14):7779. doi: 10.3390/ijms25147779.
Platelet transfusions are routine procedures in clinical treatment aimed at preventing bleeding in critically ill patients, including those with cancer, undergoing surgery, or experiencing trauma. However, platelets are susceptible blood cells that require specific storage conditions. The availability of platelet concentrates is limited to five days due to various factors, including the risk of bacterial contamination and the occurrence of physical and functional changes known as platelet storage lesions. In this article, the problems related to platelet storage lesions are categorized into four groups depending on research areas: storage conditions, additive solutions, new testing methods for platelets (proteomic and metabolomic analysis), and extensive data modeling of platelet production (mathematical modeling, statistical analysis, and artificial intelligence). This article provides extensive information on the challenges, potential improvements, and novel perspectives regarding platelet storage.
血小板输注是临床治疗中的常规程序，旨在预防包括癌症患者、手术患者和创伤患者在内的危重患者的出血。然而，血小板是易受影响的血细胞，需要特定的储存条件。由于各种因素的限制，血小板浓缩物的供应只能维持五天，包括细菌污染的风险以及物理和功能变化（称为血小板储存损伤）的发生。在本文中，根据研究领域，将与血小板储存损伤相关的问题分为四组：储存条件、添加剂溶液、血小板的新检测方法（蛋白质组学和代谢组学分析）以及血小板生产的广泛数据建模（数学建模、统计分析和人工智能）。本文提供了有关血小板储存的挑战、潜在改进和新视角的广泛信息。
