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Multiscale Modeling of the Nanocarrier-Cell Ahesion Interface in Targeted Drug Delivery

Multiscale Modeling of the Nanocarrier-Cell Ahesion Interface in Targeted Drug Delivery
靶向药物输送中纳米载体-细胞粘附界面的多尺度建模
批准号:
1236514
负责人:
Ravi Radhakrishnan
金额:
$36.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-09-01 至 2016-08-31

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中文摘要
翻译
1236514 PI:Radhakrishnan靶向药物递送是纳米技术的新兴应用。它涉及通过将药物包装到纳米载体中并将其直接静脉输送到患病组织来设计药物。这种方法的益处包括就药物到达患病组织而言的最佳药物剂量(增强的治疗功效)和伴随的药物到达正常组织的减少(降低的毒性)。成功直接取决于载体颗粒的设计和合成,所述载体颗粒具有特定特征,例如颗粒尺寸/形状和表面覆盖率,所述表面覆盖率具有对所治疗疾病的生物标志物(靶受体)特异性的结合分子。最佳设计导致期望的和必要的初始事件,即,载体颗粒与患病组织内的血管中的内皮细胞的选择性结合和阻滞,随后在阻滞后载体内化到细胞中。利用计算建模和工程原理,该项目将研究实验和设计参数,如纳米载体上的受体密度,纳米载体的大小形状和对血流的结合反应,以优化纳米载体对特定(患病)细胞的靶向。该模型将整合多个长度和时间尺度,包括血流、纳米载体阻滞、细胞膜流动性和生物分子受体-配体相互作用,所有这些都有助于纳米载体结合的物理环境,并共同定义纳米载体阻滞对靶细胞的功效。该模型将描绘纳米载体结合和逮捕的影响,由血流,内皮细胞表面上的特异性(目标)受体的表达水平,其在膜上的横向扩散,糖萼的存在或不存在,和细胞膜的流动性产生的流体动力学。该模型将通过定量细胞和动物实验进行验证,并将用于预测纳米载体的最佳设计。靶向药物递送方案的成功部分依赖于合理技术的发展,设计纳米载体药物和临床方法,将这种功能化的靶向药物载体注射到靠近疾病组织的血流中。该项目的结果将直接导致一个设计平台,用于靶向内皮细胞的纳米载体,内皮细胞是血管的衬里。建模与实验方法相结合的多功能性将使其在特定背景下的药理学应用中发挥作用,例如,针对特定/不同疾病状态设计载体,预防性(预防性)与治疗性靶向,靶向动脉与静脉,以及对毒性进行控制。项目结果将直接促进最佳工程设计,并影响此类药物递送系统用于靶向疾病治疗的临床转化。
英文摘要
1236514PI: RadhakrishnanTargeted drug delivery is an emerging application of nanotechnology. It involves designing pharmaceuticals by packaging them into nanocarriers and targeting them for intravenous delivery directly to the diseased tissue. Benefits of this approach include optimal drug dosage in-terms of the drug reaching diseased tissue (enhanced therapeutic efficacy) and a concomitant decrease in drug reaching normal tissue (reduced toxicity). Success is directly dependent on the design and synthesis of carrier particles that have specific features such as particle size/shape and surface coverage with binding molecules specific to the biomarkers (target receptors) of diseases being treated. Optimal design leads to the desired, and necessary, initial event, namely, selective binding and arrest of the carrier particle to endothelial cells in blood vessels within the diseased tissue, followed by carrier internalization into the cells post arrest. Using computational modeling and engineering principles, the project will investigate experimental and design parameters such as receptor density on nanocarriers, nanocarrier size & shape, and binding response to blood flow in order to optimize the targeting the nanocarriers to specific (diseased) cells. The model will integrate multiple length and time scales involving blood flow, nanocarrier arrest, cell membrane mobility, and biomolecular receptor-ligand interactions, all of which contribute to the physical environment for nanocarrier binding, and collectively define the efficacy of nanocarrier arrest on the target cell. The model will delineate nanocarrier binding and arrest influenced by hydrodynamic forces resulting from blood flow, expression-levels of specific (target) receptors on the endothelial cell surface, their lateral diffusion on the membrane, the presence or absence of a glycocalyx, and cell membrane mobility. The model will be validated against quantitative cellular and animal experiments and will be employed to make predictions for optimal design of nanocarriers.Success of targeted drug delivery protocols relies in part on the development of rational technologies designing nanocarrier pharmaceuticals and clinical methods for injecting such functionalized, targeted drug carriers into the blood stream close to the disease tissue. The results of the project will lead directly to a design platform for targeted nanocarriers to endothelial cells, which line blood vessels. The versatility of the modeling combined with experimental approaches will then enable their utility in context specific pharmacological applications, e.g., designing carriers for specific/different disease states, preventive (prophylactic) versus therapeutic targeting, targeting in arteries versus veins, and exercising control on toxicity. Project results will directly facilitate the optimal engineering design, as well as impact the clinical translation of such drug delivery systems for targeted disease treatment.
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I-Corps: Connected digital health platform with integrated delivery model to improve patient adherence to health goals using insights from data science and behavioral science
  • 批准号:
    1903673
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.0万
  • 财政年份:
    2018
  • 负责人:
    Ravi Radhakrishnan
  • 依托单位:
Biomolecular Simulations as an Integral Research and Educational Tool for Molecular Systems Biology: Application to ErbB
  • 批准号:
    0853539
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2009
  • 负责人:
    Ravi Radhakrishnan
  • 依托单位:
Theory and Simulation of Membrane Deformations Orchestrated by Intracellular Molecular Assemblies
  • 批准号:
    0853389
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2009
  • 负责人:
    Ravi Radhakrishnan
  • 依托单位:
Multiscale Modeling of Protein Mediated Membrane Phase and Dynamical Behavior
  • 批准号:
    0730955
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.0万
  • 财政年份:
    2007
  • 负责人:
    Ravi Radhakrishnan
  • 依托单位:
国内基金
海外基金
Galaxy Analytical Modeling Evolution (GAME) and cosmological hydrodynamic simulations.
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2025
  • 负责人:
    Antonios Katsianis
  • 依托单位: