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DZIF-10c(一种抗SARS-CoV-2的中和抗体)的半机制群体药代动力学建模:预测吸入和静脉给药后的全身和肺部暴露情况。

Semi-mechanistic population pharmacokinetic modeling of DZIF-10c, a neutralizing antibody against SARS-Cov-2: predicting systemic and lung exposure following inhaled and intravenous administration.

作者信息

Kurup Sree, de Mendizabal Nieves Velez, Becker Stephan, Bolella Erica, De Sousa Dorothy, Fätkenheuer Gerd, Gruell Henning, Klein Florian, Malin Jakob J, Schmid Ulrike, Korell Julia

机构信息

Translational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharmaceuticals Inc., 900 Ridgebury Road, Ridgefield, CT, 06877, USA.

Metrum Research Group, Tariffville, CT, 06081, USA.

出版信息

J Pharmacokinet Pharmacodyn. 2024 Dec 5;52(1):3. doi: 10.1007/s10928-024-09947-2.

Abstract

DZIF-10c (BI 767551) is a recombinant human monoclonal antibody of the IgG1 kappa isotype. It acts as a SARS-CoV-2 neutralizing antibody. DZIF-10c has been developed for both systemic exposure by intravenous infusion as well as for specific exposure to the respiratory tract by application as an inhaled aerosol generated by a nebulizer. An integrated preclinical/clinical semi-mechanistic population pharmacokinetic model was developed to characterize the exposure profile of DZIF-10c in the systemic circulation and lungs. To inform and reduce uncertainty around exposure in the lungs following different methods of dosing, preclinical cynomolgus monkey data was combined with human data using allometric scaling principles. Human serum concentrations of DZIF-10c from two clinical trials were combined with serum/plasma and lung epithelial lining fluid (ELF) concentrations from three preclinical studies to characterize the relationship between dosing, serum/plasma, and lung exposure. The final model was used to predict exposure in the lungs following different routes of administration. Simulations showed that inhalation provides immediate and relevant exposure in the lung ELF at a much lower dose compared with an infusion. Combining inhalation with intravenous therapy results in high and sustained DZIF-10c exposure in the lungs and systemic circulation, thereby combining the benefits of both routes of administration. By combining preclinical data with clinical data (via allometric scaling principles), the developed population pharmacokinetic model reduced uncertainty around exposure in the lungs allowing evaluation of alternative dosing strategies to achieve the desired concentrations of DZIF-10c in human lungs.

摘要

DZIF-10c(BI 767551)是一种IgG1 κ同种型的重组人单克隆抗体。它作为一种新型冠状病毒2型(SARS-CoV-2)中和抗体发挥作用。DZIF-10c已被开发用于通过静脉输注进行全身暴露,以及通过雾化器产生的吸入气雾剂应用于呼吸道进行特定暴露。开发了一个综合的临床前/临床半机制群体药代动力学模型,以表征DZIF-10c在体循环和肺部的暴露情况。为了了解并减少不同给药方法后肺部暴露的不确定性,利用异速生长比例原则将临床前食蟹猴数据与人体数据相结合。将两项临床试验中DZIF-10c的人体血清浓度与三项临床前研究中的血清/血浆和肺上皮衬液(ELF)浓度相结合,以表征给药、血清/血浆和肺部暴露之间的关系。最终模型用于预测不同给药途径后肺部的暴露情况。模拟结果表明,与输注相比,吸入以低得多的剂量在肺ELF中提供即时且相关的暴露。将吸入与静脉治疗相结合可导致DZIF-10c在肺部和体循环中高且持续的暴露,从而结合了两种给药途径的益处。通过将临床前数据与临床数据相结合(通过异速生长比例原则),所开发的群体药代动力学模型减少了肺部暴露的不确定性,从而能够评估替代给药策略,以在人肺中达到所需的DZIF-10c浓度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f21/11621205/81d76654259f/10928_2024_9947_Fig1_HTML.jpg

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