Predicting Long-Term Stability of an Oral Delivered Antibody Drug Product with Accelerated Stability Assessment Program Modeling

理论(学习稳定性) 药品 生化工程 计算机科学 计算生物学 药理学 医学 生物 机器学习 工程类
作者
Lulu Dai,J. Madison Davis,Karthik Nagapudi,Priscilla Mantik,Kelly Zhang,Jackson D. Pellett,Bingchuan Wei
出处
期刊:Molecular Pharmaceutics [American Chemical Society]
卷期号:21 (1): 325-332
标识
DOI:10.1021/acs.molpharmaceut.3c00877
摘要

The oral delivery of protein therapeutics offers numerous advantages for patients but also presents significant challenges in terms of development. Currently, there is limited knowledge available regarding the stability and shelf life of orally delivered protein therapeutics. In this study, a comprehensive assessment of the stability of an orally delivered solid dosage variable domain of heavy-chain antibody (VHH antibody) drug product was conducted. Four stability related quality attributes that undergo change as a result of thermal and humidity stress were identified. Subsequently, these attributes were modeled using an accelerated stability approach facilitated by ASAPprime software. To the best of our knowledge, this is the first time that this approach has been reported for an antibody drug product. We observed overall good model quality and accurate predictions regarding the protein stability during storage. Notably, we discovered that protein aggregation, formed through a degradation pathway, requires additional adjustments to the modeling method. In summary, the ASAP approach demonstrated promising results in predicting the stability of this complex solid-state protein formulation. This study sheds light on the stability and shelf life of orally delivered protein therapeutics, addressing an important knowledge gap in the field.
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