Finite Element Simulation of Interstitial-Lymphatic Fluid Flow and Nanodrug Transport in a Solid Tumor: An Intratumoral Injection Approach.

IF 5 Q1 ENGINEERING, BIOMEDICAL
BME frontiers Pub Date : 2025-06-06 eCollection Date: 2025-01-01 DOI:10.34133/bmef.0119
Gobinda Debnath, Buddakkagari Vasu, Rama Subba Reddy Gorla
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引用次数: 0

Abstract

Objective: This study presents a mathematical model and finite element simulations to investigate interstitial fluid flow and nanodrug transport in a solid tumor, incorporating transvascular exchange, convection-diffusion-reaction dynamics, and intratumoral injection mechanisms. Impact Statement: Optimizing nanodrug distribution remains a critical challenge in cancer therapy. The proposed model advances nanomedicine by enhancing the mechanistic understanding of nanodrug transport in a solid tumor. Introduction: Cancer, a global threat, often manifests as solid tumors driven by uncontrolled cell growth. The heterogeneous microenvironment, lymphatic drainage, nano-bio interactions, and elevated interstitial fluid pressure (IFP) hinder effective nanodrug delivery. Nanoparticle (NP)-based drug delivery systems offer a promising solution, with FES providing an effective approach to model and simulate the complex delivery process. Methods: The model considered a spherical and symmetrical tumor architecture comprising a central necrosis region, viable tumor, and surrounding healthy tissue with functional lymphatic dynamics. Substantial nanodrug carriers (dextran, liposomal, polyethylene glycol (PEG)-coated gold, and magnetic) and conventional doxorubicin are evaluated in the tumor. The governing fluid flow and solute transport equation along with the specified boundary conditions are solved using the finite element method through the Galerkin approach. Results: Simulations show that IFP peaks in the necrotic core and sharply declines at the viable-healthy tissue interface. Both fluid pressure and velocity are sensitive when fluid flow resistance drops below 5. Necrotic core size influences IFP, and critical necrotic radius (R CN) marks pressure stabilization and defines the threshold for effective nanodrug delivery. Vascular normalization and functional lymphatic dynamics show marginal impact. Smaller NPs (~10 nm) diffuse faster but undergo rapid degradation, while larger particles (>30 nm) exhibit prolonged retention at the injection site. Liposomal, PEG-coated gold, and magnetic variants demonstrate superior therapeutic action compared to conventional doxorubicin. Conclusion: The findings of the study highlight its strong potential for optimizing nanodrug delivery and design, as well as hyperthermia treatment, enhancing personalized cancer therapy.

实体肿瘤间质淋巴液流动和纳米药物运输的有限元模拟:瘤内注射方法。
目的:本研究建立了一个数学模型和有限元模拟来研究实体肿瘤组织间流体流动和纳米药物运输,包括跨血管交换、对流扩散反应动力学和肿瘤内注射机制。影响声明:优化纳米药物分布仍然是癌症治疗的关键挑战。该模型通过加强对纳米药物在实体肿瘤中的转运机制的理解,促进了纳米医学的发展。癌症是一种全球性的威胁,通常表现为由不受控制的细胞生长驱动的实体瘤。不均匀的微环境、淋巴引流、纳米生物相互作用和间质液压力(IFP)升高阻碍了纳米药物的有效递送。基于纳米颗粒(NP)的给药系统提供了一个很有前途的解决方案,FES提供了一种有效的方法来模拟复杂的给药过程。方法:该模型考虑了一个球形和对称的肿瘤结构,包括中心坏死区、活的肿瘤和周围具有功能性淋巴动力学的健康组织。大量的纳米药物载体(葡聚糖、脂质体、聚乙二醇(PEG)包覆金和磁性)和传统的阿霉素在肿瘤中被评估。通过伽辽金方法,用有限元法求解了控制流体流动方程和溶质输运方程,并给出了边界条件。结果:模拟结果表明,IFP在坏死核心处达到峰值,在存活-健康组织界面处急剧下降。当流体流动阻力小于5时,流体压力和速度都敏感。坏死核的大小影响IFP,而临界坏死半径(R CN)标志着压力稳定,并定义了有效纳米药物递送的阈值。血管正常化和功能性淋巴动力学显示边际影响。较小的NPs (~10 nm)扩散更快,但降解迅速,而较大的NPs (bbb30 nm)在注射部位停留时间较长。与传统的阿霉素相比,脂质体、peg包膜金和磁性变体显示出优越的治疗作用。结论:该研究结果突出了其在优化纳米药物递送和设计,以及热疗治疗,增强个性化癌症治疗方面的强大潜力。
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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来源期刊
CiteScore
7.10
自引率
0.00%
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审稿时长
16 weeks
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