全身菌体分布以生理学基础的药理动力学模型为特征
Arne Echterhof1,2, Tejas Dharmaraj1, Patrick Blankenberg1
1Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA.
bioRxiv : the preprint server for biology
|February 20, 2025
概括
抗生素耐药性感染是一个日益增长的威胁. 这项研究开发了细菌体 (菌体) 准备和放射标记的新方法,创建了一个基于生理学的药物动力学模型来预测菌体在身体中的行为.
科学领域:
- 药理学 药理学是指药理学的学科.
- 微生物学 微生物学
- 生物技术是生物技术.
背景情况:
- 抗生素耐药的细菌感染对全球健康构成重大威胁,格拉姆阴性生物体的死亡率很高.
- 菌体治疗是抗生素的一个有希望的替代品,但了解菌体的药理动力学 (PK) 对于有效治疗至关重要.
- 缺乏用于菌体净化,组织检测和标记的标准化协议,阻碍了PK的表征.
研究的目的:
- 开发超纯菌制备和非破坏性放射性标记的强有力的方法.
- 在临床前小鼠模型中评估放射标记细菌菌体的生物分布和药理动力学.
- 为菌体构建一个基于生理学的药理动力学 (PBPK) 模型,以预测它们在生物体中的行为.
主要方法:
- 细菌菌株 (PAML-31-1,OMKO1,Luz24) 的净化和放射性标记,这些细菌株具有Pseudomonas aeruginosa的活性,使用硫-SHPP链接器和放射性化物 (I-125).
- 在CD-1小鼠中进行生物分布研究,在注射后的不同时间点进行组织/器官采集和闪计数.
- 开发一个PBPK模型,包括主要器官的隔间,并估计关键的PK参数,如透率和分区系数.
主要成果:
- 该研究建立了可靠的菌体净化方法和稳定的放射性标记.
- 生物分布数据显示,菌体迅速消除,血液度在注射后12小时内低于量化极限.
- 该PBPK模型提供了透性,分区系数和消除率的估计,这对于了解菌体配置至关重要.
结论:
- 开发的PBPK模型是使用当代药量计方法对菌体PK进行第一个严格的临床前评估.
- 该模型预测人类的菌体快速消除,这表明多剂量或连续输液方案可能是必要的持续治疗度.
- 预计在最大剂量为1012 PFU时,菌体度将达到大约10^7 PFU/g,为潜在的剂量策略提供信息.
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