Characterization and suppression of resistance to new CRE agents

新 CRE 药物耐药性的表征和抑制

基本信息

  • 批准号:
    9884732
  • 负责人:
  • 金额:
    $ 7.83万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-03-04 至 2022-02-28
  • 项目状态:
    已结题

项目摘要

ABSTRACT I am an infectious diseases pharmacist who aspires to pursue an academic career devoted to translating scientific discoveries into safe and effective antimicrobial strategies to prevent and treat infections caused by drug-resistant pathogens. I have recently been promoted to Associate Professor of Medicine at the University of Pittsburgh, where I have trained in the labs of Drs. Neil Clancy, Hong Nguyen, and Raman Venkataramanan to study antimicrobial resistance and the pharmacokinetics-pharmacodynamics of antibacterial drugs. In doing so, I have learned basic and advanced laboratory techniques and pursued NIH career development funding. As a K08 award recipient, I am now submitting an application for R03 funding to provide new preliminary data and hypotheses in support of a subsequent R01 application. The goals of the proposed project are to 1) understand the frequency and mechanisms by which KPC- producing Klebsiella pneumoniae (KPC-Kp) clinical isolates develop resistance to newly-approved antibiotics, ceftazidime-avibactam (CAZ-AVI) and meropenem-vaborbactam (MER-VAB), and 2) identify strategies that effectively suppress the emergence of resistance. KPC-Kp infections continue to be a major cause of morbidity and mortality among patients. The recent availability of ceftazidime-avibactam treatment has improved outcomes among KPC-Kp infected patients, but has come at the cost of the emergence of resistance in some cases. We anticipate that resistance emerges through distinct molecular mechanisms for CAZ-AVI and MER- VAB based upon the genetic characteristics of isolates. The central hypothesis of this proposal is that combination regimens of CAZ-AVI or MER-VAB with synergistic antibiotics will suppress the emergence of resistance seen following exposures to either agent alone. To test this hypothesis, we will compare the KPC-Kp mutational frequency rates against CAZ-AVI and MER- VAB, and determine mechanisms mediating the emergence of resistance. We will screen antibiotic combinations by time-kill analysis using antibiotics that may have synergistic mechanisms of action with CAZ- AVI and/or MER-VAB (aim 1). Next, we will validate effective combinations for their ability to eradicate KPC-Kp and suppress the emergence of resistance over a 10-day treatment course in an in vitro hollow-fiber infection model that accurately simulates humanized exposures of antibiotics (aim 2). The model features site-specific exposures that are achieved at sites of infection, from which we will develop mathematical models to define the best combinations. Through these objectives, we will generate timely, clinically-relevant data that cannot be obtained through other approaches, and will open new lines of investigation for future grant applications. I am well-positioned to carry out the proposed aims within a medical center that has accumulated much of the world's experience with CAZ-AVI and a research environment that has allowed me to develop the advanced laboratory and analytical skills needed to study antimicrobial resistance.
抽象的 我是一名传染病药剂师,渴望从事翻译学术事业 科学发现安全有效的抗菌策略,以预防和治疗由以下原因引起的感染 耐药病原体。我最近晋升为大学医学副教授 匹兹堡,我在博士的实验室接受过培训。尼尔·克兰西、洪·阮和拉曼·文卡塔拉马南 研究抗菌药物耐药性和抗菌药物的药代动力学-药效学。在做 因此,我学习了基本和先进的实验室技术,并寻求 NIH 职业发展资助。 作为 K08 获奖者,我现在正在提交 R03 资助申请,以提供新的初步数据 以及支持后续 R01 应用的假设。 拟议项目的目标是 1) 了解 KPC- 产生肺炎克雷伯菌(KPC-Kp)临床分离株对新批准的抗生素产生耐药性, 头孢他啶-阿维巴坦 (CAZ-AVI) 和美罗培南-瓦硼巴坦 (MER-VAB),以及 2) 确定策略 有效抑制反抗的产生。 KPC-Kp 感染仍然是发病的主要原因 和患者的死亡率。最近头孢他啶-阿维巴坦治疗的可用性有所改善 KPC-Kp 感染患者的结果,但代价是一些人出现了耐药性 案例。我们预计 CAZ-AVI 和 MER- 会通过不同的分子机制出现耐药性 VAB 基于分离株的遗传特征。该提案的中心假设是 CAZ-AVI 或 MER-VAB 与协同抗生素的联合治疗方案将抑制出现 单独接触任一药物后出现耐药性。 为了检验这一假设,我们将 KPC-Kp 突变频率与 CAZ-AVI 和 MER 进行比较 VAB,并确定介导耐药性出现的机制。我们将筛选抗生素 使用可能与 CAZ- 具有协同作用机制的抗生素进行时间杀灭分析的组合 AVI 和/或 MER-VAB(目标 1)。接下来,我们将验证有效组合消除 KPC-Kp 的能力 并在体外中空纤维感染的 10 天治疗过程中抑制耐药性的出现 准确模拟人源化抗生素暴露的模型(目标 2)。该模型具有特定于站点的功能 在感染部位实现的暴露,我们将据此开发数学模型来定义 最佳组合。通过这些目标,我们将生成及时的、临床相关的数据,而这些数据无法被 通过其他方法获得,并将为未来的资助申请开辟新的调查路线。我是 处于有利地位,可以在医疗中心内实现拟议的目标,该中心已经积累了很多 CAZ-AVI 的世界经验和研究环境使我能够开发先进的 研究抗菌素耐药性所需的实验室和分析技能。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Fosfomycin for treatment of multidrug-resistant pathogens causing urinary tract infection: A real-world perspective and review of the literature.
磷霉素治疗引起尿路感染的多重耐药病原体:现实世界的视角和文献综述。
  • DOI:
  • 发表时间:
    2019-11
  • 期刊:
  • 影响因子:
    2.9
  • 作者:
    Babiker, Ahmed;Clarke, Lloyd;Doi, Yohei;Shields, Ryan K
  • 通讯作者:
    Shields, Ryan K
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Ryan K Shields其他文献

Ryan K Shields的其他文献

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{{ truncateString('Ryan K Shields', 18)}}的其他基金

Use of site-specific pharmacokinetics to optimize antibiotic combinations and prevent the emergence of resistance against CRE
利用位点特异性药代动力学优化抗生素组合并防止出现 CRE 耐药性
  • 批准号:
    10307115
  • 财政年份:
    2020
  • 资助金额:
    $ 7.83万
  • 项目类别:

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