Chae Dongwoo
Department of Pharmacology, Yonsei University College of Medicine, Seoul 03722, Korea.
Transl Clin Pharmacol. 2023 Dec;31(4):167-190. doi: 10.12793/tcp.2023.31.e17. Epub 2023 Nov 22.
Phage therapy is progressively being recognized as a viable alternative to conventional antibiotic treatments, particularly in the context of multi-drug resistant bacterial challenges. However, the intricacies of the pharmacokinetics and pharmacodynamics (PKPD) pertaining to phages remain inadequately elucidated. A salient characteristic of phage PKPD is the inherent ability of phages to undergo replication. In this review, I proffer mathematical models that delineate the intricate dynamics encompassing the phage, the host organism, and the immune system. Fundamental tenets associated with proliferative and inundation thresholds are explored, and distinctions between active and passive therapies are accentuated. Furthermore, I present models that aim to illuminate the multifaceted interactions amongst diverse phage strains and bacterial subpopulations, each possessing distinct sensitivities to phages. The synergistic relationship between phages and the immune system is critically examined, demonstrating how the host's immunological function can influence the requisite phage dose for an optimal therapeutic outcome. A profound understanding of the presented modeling methodologies is paramount for researchers in the realms of clinical pharmacology and PKPD modeling interested in phage therapy. Such insights facilitate a more nuanced interpretation of dose-response relationships, enable the selection of potent phages, and aid in the optimization of phage cocktails.
噬菌体疗法正逐渐被视为传统抗生素治疗的一种可行替代方案,尤其是在应对多重耐药细菌挑战的背景下。然而,与噬菌体相关的药代动力学和药效学(PKPD)的复杂性仍未得到充分阐明。噬菌体PKPD的一个显著特征是噬菌体具有自我复制的内在能力。在这篇综述中,我提出了一些数学模型,这些模型描绘了噬菌体、宿主生物体和免疫系统之间复杂的动态关系。探讨了与增殖阈值和感染阈值相关的基本原理,并强调了主动疗法和被动疗法之间的区别。此外,我还展示了一些模型,旨在阐明不同噬菌体菌株和细菌亚群之间的多方面相互作用,每个亚群对噬菌体都有不同的敏感性。对噬菌体与免疫系统之间的协同关系进行了严格审查,展示了宿主的免疫功能如何影响实现最佳治疗效果所需的噬菌体剂量。对于临床药理学和对噬菌体疗法感兴趣的PKPD建模领域的研究人员来说,深入理解所提出的建模方法至关重要。这些见解有助于更细致地解释剂量反应关系,有助于选择有效的噬菌体,并有助于优化噬菌体组合。