Zhang Longfei, Xie Hongbing, Wang Yongqiang, Wang Hongjuan, Hu Jianhe, Zhang Gaiping
Postdoctoral Research Station, Henan Agriculture University, Zhengzhou, China.
College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang, China.
Front Vet Sci. 2022 Mar 24;9:860472. doi: 10.3389/fvets.2022.860472. eCollection 2022.
Pharmacokinetic/pharmacodynamic (PK/PD) integration models are used to investigate the antimicrobial activity characteristics of drugs targeting pathogenic bacteria through comprehensive analysis of the interactions between PK and PD parameters. PK/PD models have been widely applied in the development of new drugs, optimization of the dosage regimen, and prevention and treatment of drug-resistant bacteria. In PK/PD analysis, minimal inhibitory concentration (MIC) is the most commonly applied PD parameter. However, accurately determining MIC is challenging and this can influence the therapeutic effect. Therefore, it is necessary to optimize PD indices to generate more rational results. Researchers have attempted to optimize PD parameters using mutant prevention concentration (MPC)-based PK/PD models, multiple PD parameter-based PK/PD models, kill rate-based PK/PD models, and others. In this review, we discuss progress on PD parameters for PK/PD models to provide a valuable reference for drug development, determining the dosage regimen, and preventing drug-resistant mutations.
药代动力学/药效学(PK/PD)整合模型用于通过综合分析PK和PD参数之间的相互作用来研究针对病原菌的药物的抗菌活性特征。PK/PD模型已广泛应用于新药研发、给药方案优化以及耐药菌的防治。在PK/PD分析中,最低抑菌浓度(MIC)是最常用的PD参数。然而,准确测定MIC具有挑战性,这可能会影响治疗效果。因此,有必要优化PD指标以产生更合理的结果。研究人员已尝试使用基于突变预防浓度(MPC)的PK/PD模型、基于多个PD参数的PK/PD模型、基于杀菌率的PK/PD模型等优化PD参数。在本综述中,我们讨论了PK/PD模型的PD参数方面的进展,为药物研发、确定给药方案和预防耐药突变提供有价值的参考。