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Computational modeling of nanoparticle distribution and toxicity in biological systems.

机译:生物系统中纳米粒子分布和毒性的计算模型。

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摘要

Engineered Nanoparticles are increasingly becoming a part of our daily lives due to their presence in an overwhelming majority of consumer products. Potential health risks due to chronic exposure to such particulate matter have not been properly evaluated. A multiscale, mechanistic, toxicodynamic model was developed as part of this dissertation, for studying the impact of inhaled nanoparticles on lung function in mammalian biological systems. The biologically-based model was developed in a modular fashion, with separate consideration given to NP distribution in the entire organism as well as various mechanisms at the cell, tissue, organ, and organism levels. Specifically the effect of inhaled nanoparticles on pulmonary function is evaluated and estimated based on resultant surfactant dysfunction. Pulmonary surfactant depletion is explicitly modeled by incorporating dynamics of surfactant constituents such as phospholipids and various lipoproteins. Various nanoparticle transformation processes such as agglomeration, dissolution, diffusion, and lipid adsorption inside biological systems, are explicitly considered and their effects on surfactant modification assessed. The model relates pulmonary mechanics at the organ level with cellular level surfactant dynamics in the lung, both of which are affected by nanoparticle inhalation. The model was evaluated with data from in vitro and in vivo measurements of surfactant levels, cell counts, and overall dynamic impedance in rodent lungs. The model was also extrapolated to adult humans and prediction of changes in pulmonary tissue resistance and elastance in humans are presented based on comparable one-time nanoparticle exposure. This is the first instance of a comprehensive modeling framework integrating research and mechanistic information regarding nanoparticle-biosystem interactions at multiple scales and linking pulmonary mechanisms and processes due to interaction with particulate matter with pulmonary function in human subjects.
机译:由于工程纳米颗粒在绝大多数消费产品中的存在,它们正日益成为我们日常生活的一部分。由于长期暴露于此类颗粒物而导致的潜在健康风险尚未得到正确评估。作为研究的一部分,建立了一个多尺度,机理,毒物动力学模型,用于研究吸入的纳米颗粒对哺乳动物生物系统中肺功能的影响。基于生物学的模型是以模块化方式开发的,其中单独考虑了整个生物中的NP分布以及细胞,组织,器官和生物体水平上的各种机制。具体地,基于所得的表面活性剂功能障碍评估和估计吸入的纳米颗粒对肺功能的影响。通过纳入表面活性剂成分(例如磷脂和各种脂蛋白)的动力学来明确地模拟肺表面活性剂的消耗。明确考虑了各种纳米粒子转化过程,例如生物系统内部的团聚,溶解,扩散和脂质吸附,并评估了它们对表面活性剂改性的影响。该模型将器官水平的肺力学与肺中细胞水平的表面活性剂动力学联系起来,两者均受纳米颗粒吸入​​影响。用来自啮齿动物肺中表面活性剂水平,细胞计数和总体动态阻抗的体外和体内测量数据评估模型。该模型还外推至成年人类,并基于可比的一次纳米颗粒暴露量,预测了人类肺组织抵抗力和弹性的变化。这是一个综合建模框架的第一个实例,该框架整合了有关纳米尺度生物系统相互作用的研究和机制信息,涉及多个尺度,并结合了人类中与颗粒物相互作用与肺功能相关的肺部机制和过程。

著录项

  • 作者

    Mukherjee, Dwaipayan.;

  • 作者单位

    Rutgers The State University of New Jersey - New Brunswick.;

  • 授予单位 Rutgers The State University of New Jersey - New Brunswick.;
  • 学科 Biochemistry.;Nanoscience.;Biomedical engineering.;Chemical engineering.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 245 p.
  • 总页数 245
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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