Eli Lilly and Company, Indiana, Indianapolis, USA.
CPT Pharmacometrics Syst Pharmacol. 2022 Jun;11(6):721-730. doi: 10.1002/psp4.12784. Epub 2022 Apr 5.
The relationship between severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) viral load reduction and disease symptom resolution remains largely undefined for coronavirus disease 2019 (COVID-19). While the vaccine-derived immunity takes time to develop, neutralizing monoclonal antibodies offer immediate, passive immunity to patients with COVID-19. Bamlanivimab and etesevimab are two potent neutralizing monoclonal antibodies directed to the receptor binding domain of the spike protein of SARS-CoV-2. This study aims to describe the relationship between viral load and resolution of eight common COVID-19-related symptoms in patients following treatment with neutralizing monoclonal antibodies (bamlanivimab alone or bamlanivimab and etesevimab together), in a phase II clinical trial. Corresponding pharmacokinetics (PKs), viral load, and COVID-19-related symptom data were modeled using Nonlinear Mixed Effects Modeling to describe the time-course of eight COVID-19-related symptoms in an ordered categorical manner (none, mild, moderate, and severe), following administration of bamlanivimab or bamlanivimab and etesevimab together to participants with COVID-19. The PK/pharmacodynamic (PD) models characterized the exposure-viral load-symptom time course of the eight preselected COVID-19-related symptoms. Baseline viral load (BVL), change in viral load from baseline, and time since the onset of symptoms, demonstrated statistically significant effects on symptom score probabilities. Higher BVL generally indicated an increased probability of symptom severity. The severity of symptoms decreased over time, partially driven by the decrease in viral load. The effect of increasing time resulting in decreased severity of symptoms was over and above the effect of decreasing viral load. Administration of bamlanivimab alone or together with etesevimab results in a faster time to resolution of COVID-19-related symptoms compared to placebo.
严重急性呼吸综合征冠状病毒 2 (SARS-CoV-2)病毒载量减少与 2019 年冠状病毒病(COVID-19)疾病症状消退之间的关系在很大程度上尚未确定。虽然疫苗衍生的免疫需要时间来发展,但中和单克隆抗体为 COVID-19 患者提供了即时的被动免疫。巴洛昔单抗和埃特司韦单抗是两种针对 SARS-CoV-2 刺突蛋白受体结合域的强效中和单克隆抗体。本研究旨在描述在一项 II 期临床试验中,接受中和单克隆抗体(单独巴洛昔单抗或巴洛昔单抗和埃特司韦单抗联合使用)治疗的患者中,病毒载量与 8 种常见 COVID-19 相关症状消退之间的关系。使用非线性混合效应模型对相应的药代动力学(PK)、病毒载量和 COVID-19 相关症状数据进行建模,以有序分类的方式(无、轻度、中度和重度)描述 COVID-19 相关症状的时间过程,对 COVID-19 患者进行巴洛昔单抗或巴洛昔单抗和埃特司韦单抗联合治疗。PK/药效学(PD)模型描述了 8 种预先选择的 COVID-19 相关症状的暴露-病毒载量-症状时间过程。基线病毒载量(BVL)、从基线变化的病毒载量和症状出现后的时间,对症状评分概率有统计学显著影响。较高的 BVL 通常表明症状严重的概率增加。随着时间的推移,症状的严重程度降低,部分原因是病毒载量降低。随着时间的推移,症状严重程度降低的效果超过了病毒载量降低的效果。与安慰剂相比,单独使用巴洛昔单抗或与埃特司韦单抗联合使用可更快地缓解 COVID-19 相关症状。