Optimization of Extracellular Vesicle Release for Targeted Drug Delivery

IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Martin Damrath;Mladen Veletić;Hamid Khoshfekr Rudsari;Ilangko Balasingham
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引用次数: 0

Abstract

Targeted drug delivery is a promising approach for many serious diseases, such as glioblastoma multiforme, one of the most common and devastating brain tumor. In this context, this work addresses the optimization of the controlled release of drugs which are carried by extracellular vesicles. Towards this goal, we derive and numerically verify an analytical solution for the end-to-end system model. We then apply the analytical solution either to reduce the disease treatment time or to reduce the amount of required drugs. The latter is formulated as a bilevel optimization problem, whose quasiconvex/quasiconcave property is proved here. For solving the optimization problem, we propose and utilize a combination of bisection method and golden-section search. The numerical results demonstrate that the optimization can significantly reduce the treatment time and/or the required drugs carried by extracellular vesicles for a therapy compared to the steady state solution.
优化细胞外囊泡释放,实现靶向给药。
靶向给药是治疗许多严重疾病(如多形性胶质母细胞瘤,一种最常见、最具破坏性的脑肿瘤)的一种前景广阔的方法。在此背景下,本研究致力于优化由细胞外囊泡携带的药物的控制释放。为此,我们推导出端到端系统模型的解析解,并进行了数值验证。然后,我们应用分析解来缩短疾病治疗时间或减少所需药物量。后者被表述为一个双层优化问题,其准凸/准凹特性在此得到了证明。为解决该优化问题,我们提出并使用了分段法和黄金分割搜索相结合的方法。数值结果表明,与稳态方案相比,优化方案能显著缩短治疗时间和/或减少治疗所需的细胞外囊泡携带的药物。
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
IEEE Transactions on NanoBioscience
IEEE Transactions on NanoBioscience 工程技术-纳米科技
CiteScore
7.00
自引率
5.10%
发文量
197
审稿时长
>12 weeks
期刊介绍: The IEEE Transactions on NanoBioscience reports on original, innovative and interdisciplinary work on all aspects of molecular systems, cellular systems, and tissues (including molecular electronics). Topics covered in the journal focus on a broad spectrum of aspects, both on foundations and on applications. Specifically, methods and techniques, experimental aspects, design and implementation, instrumentation and laboratory equipment, clinical aspects, hardware and software data acquisition and analysis and computer based modelling are covered (based on traditional or high performance computing - parallel computers or computer networks).
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