Model Answers Pty Ltd, Brisbane, Australia.
Model Answers Pty Ltd, Brisbane, Australia.
Eur J Pharm Sci. 2017 Nov 15;109S:S154-S160. doi: 10.1016/j.ejps.2017.05.070. Epub 2017 Jun 9.
Respiratory syncytial virus (RSV) causes acute lower respiratory tract infections, and is a major cause of hospital admissions and death in young children. Limited treatments currently exist that can prevent or minimise exacerbation of the disease. The aims of this work were: 1) to develop a population pharmacodynamic model to describe RSV kinetics (RSVK) in nasal lavage, 2) evaluate the impact of an investigational fusion inhibitor, JNJ-53718678, on RSVK, and 3) determine the relationship between RSVK and symptoms scores. The best model to fit the RSVK data was a target-cell limited viral kinetics model previously developed for influenza A infections (Baccam et al., 2006), which included a series of compartments for infected, non-producing and infected, and producing cell populations. The model was adapted to account for longer incubation times seen in RSV, by including 4 additional transit compartments, with the virus elimination rate constant and initial number of target cells fixed to literature values to ensure model parameter identifiability. Between-subject variability was included on the infection rate constant and virus production rate constant. The effect of JNJ-53718678 on RSVK was best described by a non-dose dependent transformation of the infectious virions into a non-infectious state, with a proportional odds model successfully describing symptoms scores, using individual model predicted viral loads as predictor.
呼吸道合胞病毒(RSV)引起急性下呼吸道感染,是导致婴幼儿住院和死亡的主要原因。目前,有限的治疗方法可以预防或减轻疾病的恶化。这项工作的目的是:1)开发一个群体药代动力学模型来描述鼻洗液中的 RSV 动力学(RSVK),2)评估一种研究性融合抑制剂 JNJ-53718678 对 RSVK 的影响,3)确定 RSVK 与症状评分之间的关系。拟合 RSVK 数据的最佳模型是之前针对流感 A 感染开发的靶细胞有限病毒动力学模型(Baccam 等人,2006 年),该模型包括一系列受感染、非生产性和受感染、生产性细胞群体的隔室。通过包括 4 个额外的转运隔室,该模型被改编以解释 RSV 中观察到的更长潜伏期,病毒消除率常数和初始靶细胞数量固定为文献值,以确保模型参数可识别性。个体间变异性包括感染率常数和病毒产率常数。JNJ-53718678 对 RSVK 的影响最好通过将传染性病毒粒子转化为非传染性状态的非剂量依赖性转化来描述,使用个体模型预测的病毒载量作为预测因子,成功描述了症状评分。