A Predictive Tool for Foreign Body Fibrotic Reactions Using 2-Dimensional Computational Model.

Jianzhong Su, Michail Todorov, Humberto Perez Gonzales, Larrissa Perkins, Hristo Kojouharov, Hong Weng, Liping Tang
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Abstract

It is well established that implanted medical devices often trigger immunological and inflammatory reactions. Such foreign body-mediated tissue responses may result in fibrotic tissue formation surrounding the implants. Despite of intensive research in the area of wound healing, few methods are currently available to systematically predict the quantitative behavior of the complex system of multiple cells, proteins and enzymes during foreign body-associated fibrotic reactions. This study introduces a kinetics-based predictive tool to analyze outcomes of reactions of various cells/proteins and biochemical processes and to understand transient behavior during the entire implant healing period up to several months in time. A computational model in two spatial dimensions is constructed to investigate the time dynamics as well as spatial variation of fibrotic reaction kinetics. Our results have shown that this model can be used to predict many features in a systematic way and also complement the traditional immunological methodology by experiments or empirical data predictions.

利用二维计算模型预测异物纤维化反应的工具
众所周知,植入式医疗器械经常会引发免疫和炎症反应。这种异物介导的组织反应可能导致植入物周围形成纤维化组织。尽管在伤口愈合领域进行了深入研究,但目前很少有方法能系统地预测异物相关纤维化反应期间由多种细胞、蛋白质和酶组成的复杂系统的定量行为。本研究介绍了一种基于动力学的预测工具,用于分析各种细胞/蛋白质和生化过程的反应结果,并了解整个植入物愈合期(长达数月)的瞬态行为。我们构建了一个两维空间计算模型,以研究纤维化反应动力学的时间动态和空间变化。我们的研究结果表明,该模型可用于系统地预测许多特征,同时还能通过实验或经验数据预测对传统的免疫学方法进行补充。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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