Zebrafish Centre for Advanced Drug Discovery, St. Michael's Hospital, 209 Victoria St, Toronto, Ontario, Canada M5B 1T8.
Keenan Research Centre for Biomedical Science and Li Ka Shing Knowledge Institute of St. Michael's Hospital, 209 Victoria Street, Toronto, ON, CA.
Mol Med. 2017 Jul;23:134-148. doi: 10.2119/molmed.2016.00188. Epub 2017 Jun 7.
Sepsis is a leading cause of death worldwide. Current treatment modalities remain largely supportive. Intervention strategies focused on inhibiting specific mediators of the inflammatory host response have been largely unsuccessful, a consequence of an inadequate understanding of the complexity and heterogeneity of the innate immune response. Moreover, the conventional drug development pipeline is time consuming and expensive and the low success rates associated with cell-based screens underline the need for whole organism screening strategies, especially for complex pathological processes. Here, we established an LPS-induced zebrafish endotoxemia model, which exhibits the major hallmarks of human sepsis including, edema and tissue/organ damage, increased vascular permeability and vascular leakage accompanied by an altered expression of cellular junction proteins, increased cytokine expression, immune cell activation and ROS production, reduced circulation and increased platelet aggregation. We tested the suitability of the model for phenotype-based drug screening using three primary readouts: mortality, vascular leakage, and ROS production. Preliminary screening identified fasudil, a drug known to protect against vascular leakage in murine models, as a lead hit thereby validating the utility of our model for sepsis drug screens. This zebrafish sepsis model has the potential to rapidly analyze sepsis associated pathologies and cellular processes in the whole organism, as well as to screen and validate large numbers of compounds that can modify sepsis pathology in .
脓毒症是全球范围内主要的死亡原因。目前的治疗方法主要还是支持性治疗。针对炎症宿主反应的特定介质的干预策略在很大程度上都没有成功,这是由于对先天免疫反应的复杂性和异质性的理解不足所致。此外,传统的药物开发管道耗时且昂贵,而基于细胞的筛选的低成功率突显了需要进行全生物体筛选策略的必要性,特别是对于复杂的病理过程。在这里,我们建立了一个 LPS 诱导的斑马鱼内毒素血症模型,该模型表现出了人类脓毒症的主要特征,包括水肿和组织/器官损伤、血管通透性增加和血管渗漏,同时伴随着细胞连接蛋白表达的改变、细胞因子表达增加、免疫细胞激活和 ROS 产生、循环减少和血小板聚集增加。我们使用三种主要的检测方法(死亡率、血管渗漏和 ROS 产生)来测试该模型用于基于表型的药物筛选的适用性。初步筛选发现,法舒地尔是一种已知可预防小鼠模型中血管渗漏的药物,是一种先导化合物,从而验证了我们的脓毒症药物筛选模型的实用性。这种斑马鱼脓毒症模型有可能快速分析整个生物体中与脓毒症相关的病理和细胞过程,以及筛选和验证大量可以改变脓毒症病理的化合物。