Accelerating Vaccine Formulation Development Using Design of Experiment Stability Studies

理论(学习稳定性) 实验设计 计算机科学 生化工程 设计质量 强制降级 数学 工程类 化学工程 统计 机器学习 校准曲线 检出限 粒径
作者
Patrick L. Ahl,Christopher Mensch,Binghua Hu,Heidi Pixley,Lan Zhang,Lance Dieter,Ryann Russell,William J. Smith,Craig T. Przysiecki,Mike Kosinski,Jeffrey T. Blue
出处
期刊:Journal of Pharmaceutical Sciences [Elsevier BV]
卷期号:105 (10): 3046-3056 被引量:8
标识
DOI:10.1016/j.xphs.2016.06.014
摘要

Vaccine drug product thermal stability often depends on formulation input factors and how they interact. Scientific understanding and professional experience typically allows vaccine formulators to accurately predict the thermal stability output based on formulation input factors such as pH, ionic strength, and excipients. Thermal stability predictions, however, are not enough for regulators. Stability claims must be supported by experimental data. The Quality by Design approach of Design of Experiment (DoE) is well suited to describe formulation outputs such as thermal stability in terms of formulation input factors. A DoE approach particularly at elevated temperatures that induce accelerated degradation can provide empirical understanding of how vaccine formulation input factors and interactions affect vaccine stability output performance. This is possible even when clear scientific understanding of particular formulation stability mechanisms are lacking. A DoE approach was used in an accelerated 37°C stability study of an aluminum adjuvant Neisseria meningitidis serogroup B vaccine. Formulation stability differences were identified after only 15 days into the study. We believe this study demonstrates the power of combining DoE methodology with accelerated stress stability studies to accelerate and improve vaccine formulation development programs particularly during the preformulation stage.
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