Su Jianzhong, Gonzales Humberto Perez, Todorov Michail, Kojouharov Hristo, Tang Liping
Department of Mathematics University of Texas at Arlington, Arlington, Texas 76019, USA.
Int J Comput Math. 2011 Feb;88(3):610-633. doi: 10.1080/00207161003640035.
The foreign body reactions are commonly referred to the network of immune and inflammatory reactions of human or animals to foreign objects placed in tissues. They are basic biological processes, and are also highly relevant to bioengineering applications in implants, as fibrotic tissue formations surrounding medical implants have been found to substantially reduce the effectiveness of devices. Despite of intensive research on determining the mechanisms governing such complex responses, few mechanistic mathematical models have been developed to study such foreign body reactions. This study focuses on a kinetics-based predictive tool in order to analyze outcomes of multiple interactive complex reactions of various cells/proteins and biochemical processes and to understand transient behavior during the entire period (up to several months). A computational model in two spatial dimensions is constructed to investigate the time dynamics as well as spatial variation of foreign body reaction kinetics. The simulation results have been consistent with experimental data and the model can facilitate quantitative insights for study of foreign body reaction process in general.
异物反应通常是指人类或动物对植入组织中的异物产生的免疫和炎症反应网络。它们是基本的生物学过程，也与植入物的生物工程应用高度相关，因为已发现医疗植入物周围的纤维化组织形成会大大降低器械的有效性。尽管对确定控制此类复杂反应的机制进行了深入研究，但用于研究此类异物反应的机械数学模型却很少。本研究重点关注一种基于动力学的预测工具，以便分析各种细胞/蛋白质和生化过程的多重相互作用复杂反应的结果，并了解整个时期（长达数月）的瞬态行为。构建了一个二维空间的计算模型，以研究异物反应动力学的时间动态以及空间变化。模拟结果与实验数据一致，该模型总体上可为研究异物反应过程提供定量见解。
