1. Algorithm-Based Liquid Formulation Development Including a DoE Concept Predicts Long-Term Viral Vector Stability
- Author
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Stefan R. Henz, Martin Scholz, Jens Altrichter, Kristina Kemter, Julia A. Rabas, Carina Rodenstein, Eva Reinauer, and Stella S. Grosso
- Subjects
Time Factors ,viruses ,Genetic Vectors ,Stability (learning theory) ,Pharmaceutical Science ,Excipient ,02 engineering and technology ,Nucleic Acid Denaturation ,030226 pharmacology & pharmacy ,Viral vector ,Excipients ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Humans ,Statistical analysis ,Amino Acids ,Infectivity ,chemistry.chemical_classification ,Adenoviruses, Human ,Design of experiments ,Gene Transfer Techniques ,Temperature ,021001 nanoscience & nanotechnology ,Term (time) ,Amino acid ,HEK293 Cells ,chemistry ,DNA, Viral ,0210 nano-technology ,Algorithm ,Algorithms ,medicine.drug - Abstract
Specifically tailored amino acid–based formulations were previously shown to have a high potential to avoid stress-mediated degradation of complex molecules such as monoclonal antibodies and viral vectors. By using adenovirus 5 (Ad5) as a model, we studied whether such formulations may also efficiently protect viral vectors in thermal stress experiments and during long-term liquid storage. Algorithm-based amino acid preselection using an excipient database and subsequent application of design of experiments (DoE) in combination with a 37°C challenging model enabled the prediction of long-term storage stability of Ad5. By statistical analysis of the Ad5 infectivity, amino acids with significant influence on Ad5 stability were detected after 2 and 3 weeks of liquid storage at 37°C. Ad5 formulations comprising positively selected amino acids did not reveal any loss of infectivity after 24 months in liquid storage at 5°C. By contrast, a 2 log reduction after 3 months and complete loss of infectivity after 18 months was observed with a standard viral vector formulation. By an optimization round, we designed a simple and well-balanced formulation avoiding MgCl2, previously considered essential in Ad5 formulations. This work demonstrates the efficacy of an algorithm-based development approach in the formulation development for viral vectors.
- Published
- 2020
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