Division of Biomedical Engineering, University of Glasgow, Glasgow, UK.
Aragón Institute for Engineering Research (I3A), University of Zaragoza, Spain.
Int J Pharm. 2021 May 15;601:120575. doi: 10.1016/j.ijpharm.2021.120575. Epub 2021 Apr 9.
The advent of drug-eluting stents (DES) has revolutionised the treatment of coronary artery disease. These devices, coated with anti-proliferative drugs, are deployed into stenosed or occluded vessels, compressing the plaque to restore natural blood flow, whilst simultaneously combating the evolution of restenotic tissue. Since the development of the first stent, extensive research has investigated how further advancements in stent technology can improve patient outcome. Mathematical and computational modelling has featured heavily, with models focussing on structural mechanics, computational fluid dynamics, drug elution kinetics and subsequent binding within the arterial wall; often considered separately. Smooth Muscle Cell (SMC) proliferation and neointimal growth are key features of the healing process following stent deployment. However, models which depict the action of drug on these processes are lacking. In this article, we start by reviewing current models of cell growth, which predominantly emanate from cancer research, and available published data on SMC proliferation, before presenting a series of mathematical models of varying complexity to detail the action of drug on SMC growth in vitro. Our results highlight that, at least for Sodium Salicylate and Paclitaxel, the current state-of-the-art nonlinear saturable binding model is incapable of capturing the proliferative response of SMCs across a range of drug doses and exposure times. Our findings potentially have important implications on the interpretation of current computational models and their future use to optimise and control drug release from DES and drug-coated balloons.
药物洗脱支架(DES)的出现彻底改变了冠状动脉疾病的治疗方法。这些设备涂有抗增殖药物,被部署到狭窄或闭塞的血管中,压缩斑块以恢复自然血流,同时对抗再狭窄组织的发展。自第一个支架开发以来,广泛的研究调查了支架技术的进一步发展如何改善患者的预后。数学和计算建模发挥了重要作用,模型侧重于结构力学、计算流体动力学、药物洗脱动力学以及随后在动脉壁内的结合;通常分别考虑。平滑肌细胞(SMC)增殖和新生内膜生长是支架放置后愈合过程的关键特征。然而,缺乏描述药物对这些过程作用的模型。在本文中,我们首先回顾了主要源自癌症研究的细胞生长的现有模型,以及 SMC 增殖的可用已发表数据,然后提出了一系列具有不同复杂性的数学模型,详细描述了药物对体外 SMC 生长的作用。我们的结果表明,至少对于水杨酸和紫杉醇,当前最先进的非线性饱和结合模型无法捕获 SMC 在一系列药物剂量和暴露时间下的增殖反应。我们的发现可能对当前计算模型的解释及其未来用于优化和控制 DES 和药物涂层球囊的药物释放具有重要意义。