In vivo derived in silico model for DDS optimization

用于 DDS 优化的体内计算机模型

• 批准号: 9127202
• 负责人: Dieter Haemmerich
• 金额: $ 12.54万
• 依托单位: MEDICAL UNIVERSITY OF SOUTH CAROLINA
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-25 至 2020-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9127202
• 关键词: 3-Dimensional; Adverse effects; Affect; Animals; Applications Grants; Area; Bioavailable; Biodistribution; Biological; Biological Availability; Blood Vessels; Blood flow; Cells; Complex; Computer Simulation; Data; Development; Devices; Dose; Doxorubicin Hydrochloride Liposome; Drug Carriers; Drug Delivery Systems; Drug Transport; Engineering; Evaluation; Extravasation; Formulation; Goals; Growth; Half-Life; Health; Heating; Heterogeneity; High Pressure Liquid Chromatography; Human; Hyperthermia; Image Analysis; In Vitro; Kinetics; Liposomes; Maps; Measurement; Measures; Methods; Modeling; Modification; Penetration; Perfusion; Pharmaceutical Preparations; Physiological; Physiology; Plasma; Property; Regimen; Site; Solid Neoplasm; System; Technology; Temperature; Testing; Therapeutic Index; Tissue Sample; Tissues; Toxic effect; Tumor Biology; Tumor-Derived; Validation; Vascular Permeabilities; Work; base; chemotherapy; contrast enhanced; density; design; essays; feeding; imaging modality; improved; in vivo; intravital fluorescence microscopy; liposomal delivery; liposome vector; method development; model design; nanoparticle; neoplastic cell; novel; novel strategies; novel therapeutics; quantitative imaging; temporal measurement; three-dimensional modeling; tumor; uptake

DESCRIPTION (provided by applicant): There are limited quantitative methods to aid systematic design and development of drug delivery systems. We have developed a computational model that predicts the amount of drug that is delivered to the tumor, and we were able to make relevant predictions for ideal properties of liposomes from our models. The first goal of this grant application is the development of methods to measure tumor transport properties in vivo. The model is then validated, and will serve as platform for optimization of heat-activated liposomal carriers. The proposed approach thus aids the development of more effective drug delivery systems, and has general applicability for various drug delivery systems.

描述（由申请人提供）：有限的定量方法可以帮助药物输送系统的系统设计和开发。我们已经开发了一种计算模型，该模型可以预测输送到肿瘤的药物量，并且我们能够对我们模型的脂质体的理想特性做出相关的预测。该赠款应用的第一个目标是开发在体内测量肿瘤运输特性的方法。然后对该模型进行验证，并将作为优化热激活脂质体载体的平台。因此，提出的方法有助于开发更有效的药物输送系统，并对各种药物输送系统具有一般适用性。