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Mathematical Modeling of Pseudomonas Aeruginosa Biofilm Growth and Treatment in the Cystic Fibrosis Lung

机译:铜绿假单胞菌生物膜生长和治疗囊性纤维化肺的数学模型

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摘要

Lung failure due to chronic bacterial infection is the leading cause of death for patients with cystic fibrosis (CF). It is thought that the chronic nature of these infections is, in part, due to the increased tolerance and recalcitrant behavior of bacteria growing as biofilms. Inhalation of Silver Carbene Complex (SCC) antimicrobial, either encased in L-tyrosine polyphosphate (LTP) particles or in aqueous form, has been proposed as a treatment. Through a coordinated experimental and mathematical modeling effort, this dissertation examines this proposed treatment of lung biofilms. Pseudomonas aeruginosa biofilms grown in a flow-cell apparatus irrigated with an artificial CF sputum medium are analyzed as an in vitro model of CF lung infection. A 2D mathematical model of biofilm growth within the flow-cell is developed. Numerical simulations demonstrate that SCC inactivation by the environment is critical in aqueous SCC, but not SCC-LTP, based treatments. LTP particle degradation rate is shown to be a tunable parameter that can be chosen optimally, based on environmental conditions and bacterial susceptibility. In addition, a 2D model of mushroom-like morphology and cavity formation in Pseudomonas aeruginosa biofilms is developed. Iron-signaling is proposed as a plausible mechanism for cavity formation.
机译:慢性细菌感染引起的肺衰竭是囊性纤维化(CF)患者死亡的主要原因。认为这些感染的慢性性质部分是由于作为生物膜生长的细菌的耐受性和顽强行为增加。已经提出了吸入装在L-酪氨酸聚磷酸酯(LTP)颗粒中或呈水溶液形式的银卡宾复合物(SCC)抗菌剂作为治疗方法。通过协调的实验和数学建模工作,本文研究了这种对肺生物膜的治疗方法。作为CF肺部感染的体外模型,分析了在用人工CF痰培养基灌溉的流式细胞仪中生长的铜绿假单胞菌生物膜。建立了流动池内生物膜生长的二维数学模型。数值模拟表明,在水性SCC中,环境对SCC的灭活至关重要,但对基于SCC-LTP的处理却不重要。 LTP颗粒降解率显示是一个可调节的参数,可以根据环境条件和细菌敏感性选择最佳参数。此外,建立了铜绿假单胞菌生物膜中蘑菇状形态和空洞形成的二维模型。铁信号被提议作为腔形成的合理机制。

著录项

  • 作者

    Miller, James Kyle-Lays.;

  • 作者单位

    The University of Akron.;

  • 授予单位 The University of Akron.;
  • 学科 Mathematics.;Microbiology.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 238 p.
  • 总页数 238
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:43:06

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