School of Mechanical & Automotive Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China.
School of Mechanical & Automotive Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China.
Comput Methods Programs Biomed. 2020 Feb;184:105106. doi: 10.1016/j.cmpb.2019.105106. Epub 2019 Oct 1.
The process of nanoparticles (NPs) entering blood circulation to actively target tumor cells involves four stages-the transport of NPs in blood vessels, transvascular transport of NPs, transport of NPs in the tumor interstitial matrix and entry of NPs into tumor cells. These four stages are a complex process involving mechanical, physical, biochemical, and biophysical factors, the tumor microenvironment (TME) and properties of NPs play important roles in this process. Because this process involves a large number of factors and is very complex, it is difficult to study with conventional methods.
Using mathematical models for simulation is suitable for addressing this complex situation and can describe the complexity well.
This work focuses on the theoretical simulation of NPs that target tumor cells to illustrate the effects of the abnormal microenvironment of tumors and properties of NPs on the transport process. Mathematical models constructed by different methods are enumerated. Through studying these mathematical models, different methods to overcome nanoparticle (NP) transport obstacles are illustrated.
It is necessary to construct a theoretical model of active targeting nanodrug delivery under the coupling of micro-flow field and specific binding force field, and to simulate and analyze the delivery process at mesoscopic scale using computational fluid dynamics (CFD) method, so as to reveal the law and characteristics of drug delivery and cell uptake in the micro-environment of tumors in vivo. The methods and techniques discussed can serve as the basis for systematic studies of active targeting of functional nanoparticles to tumor cells.
纳米颗粒(NPs)进入血液循环主动靶向肿瘤细胞的过程涉及四个阶段——血管内 NPs 的转运、NPs 的跨血管转运、NPs 在肿瘤间质基质中的转运以及 NPs 进入肿瘤细胞。这四个阶段是一个涉及机械、物理、生化和生物物理因素的复杂过程,肿瘤微环境(TME)和 NPs 的性质在这个过程中起着重要作用。由于这个过程涉及到大量的因素并且非常复杂,因此很难用传统的方法进行研究。
使用数学模型进行模拟适用于解决这种复杂情况,可以很好地描述这种复杂性。
这项工作专注于靶向肿瘤细胞的 NPs 的理论模拟,以说明肿瘤异常微环境和 NPs 性质对运输过程的影响。列举了不同方法构建的数学模型。通过研究这些数学模型,说明了克服纳米颗粒(NP)运输障碍的不同方法。
有必要构建一个微流场和特异结合力场耦合下的主动靶向纳米药物传递的理论模型,并采用计算流体动力学(CFD)方法在介观尺度上对传递过程进行模拟和分析,从而揭示药物在体内肿瘤微环境中的传递和细胞摄取规律和特点。所讨论的方法和技术可以作为系统研究功能纳米颗粒主动靶向肿瘤细胞的基础。