Structural Characterization and Formulation Development of a Trivalent Equine Encephalitis Virus-Like Particle Vaccine Candidate

Analytical and Preformulation Characterization Studies of Human Papillomavirus Virus-Like Particles to Enable Quadrivalent Multi-Dose Vaccine Formulation Development

Introducing multi-dose formulations of Human Papillomavirus (HPV) vaccines will reduce costs and enable improved global vaccine coverage, especially in low- and middle-income countries. This work describes the development of key analytical methods later utilized for HPV vaccine multi-dose formulation development. First, down-selection of physicochemical methods suitable for multi-dose formulation development of four HPV (6, 11, 16, and 18) Virus-Like Particles (VLPs) adsorbed to an aluminum adjuvant (Alhydrogel®, AH) was performed. The four monovalent AH-adsorbed HPV VLPs were then characterized using these down-selected methods. Second, stability-indicating competitive ELISA assays were developed using HPV serotype-specific neutralizing mAbs, to monitor relative antibody binding profiles of the four AH-adsorbed VLPs during storage. Third, concentration-dependent preservative-induced destabilization of HPV16 VLPs was demonstrated by addition of eight preservatives found in parenterally administered pharmaceuticals and vaccines, as measured by ELISA, dynamic light scattering, and differential scanning calorimetry. Finally, preservative stability and effectiveness in the presence of vaccine components were evaluated using a combination of RP-UHPLC, a microbial growth inhibition assay, and a modified version of the European Pharmacopoeia assay (Ph. Eur. 5.1.3). Results are discussed in terms of analytical challenges encountered to identify and develop high-throughput methods that facilitate multi-dose formulation development of aluminum-adjuvanted protein-based vaccine candidates.

Prediction Machines: Applied Machine Learning for Therapeutic Protein Design and Development

The rapid growth in technological advances and quantity of scientific data over the past decade has led to several challenges including data storage and analysis. Accurate models of complex datasets were previously difficult to develop and interpret. However, improvements in machine learning algorithms have since enabled unparalleled classification and prediction capabilities. The application of machine learning can be seen throughout diverse industries due to their ease of use and interpretability. In this review, we describe popular machine learning algorithms and highlight their application in pharmaceutical protein development. Machine learning models have now been applied to better understand the nonlinear concentration dependent viscosity of protein solutions, predict protein oxidation and deamidation rates, classify sub-visible particles and compare the physical stability of proteins. We also applied several machine learning algorithms using previously published data and describe models with improved predictions and classification. The authors hope that this review can be used as a resource to others and encourage continued application of machine learning algorithms to problems in pharmaceutical protein development.

Live vaccine preserved at room temperature: Preparation and characterization of a freeze-dried classical swine fever virus vaccine

The heat-stable live-attenuated classical swine fever virus (CSFV) vaccine is an urgent need in many countries of Asia, Europe and Latin America. In this study, the thermostability of lyophilized live-attenuated CSFV vaccine formulations were investigated using accelerated stability at 37 °C for 10 days. The freeze-dried heat-stable formulation ST16, containing excipient combinations of trehalose, glycine, thiourea and phosphate buffer shows the superior thermostability. Moreover, the lyophilized vaccine with formula ST16 kept loss of viral activity less than 0.5 log₁₀ during 24 months at storage temperatures of 2-8 °C. In thermal study, ST16 stabilized the vaccine within 1.0 log₁₀ loss after storage at up to 25 °C for 6 months and room temperature for 7 months. Even under the harshest storage conditions of 37 °C for 25 days and 45 °C for 2 weeks, the virus titer dropped less than 1.0 log₁₀ using ST16. Besides, it is notable that ST16 excluded gelatin and exogenous proteins, which might cause allergic reactions, thus avoiding immune side effects. The vaccine formulated ST16 proved to be safe and effective when immunized to piglets in vivo. The characteristics of dried vaccines were analyzed by X-ray powder diffraction, residual water measurements, differential scanning calorimetry and it was found that vaccine antigen were preserved in an amorphous matrix with high glass transition temperature above 60 °C and low residual water content below 2%, which made the vaccine more stable during storage.

Development of a New Tandem Ion Exchange and Size Exclusion Chromatography Method To Monitor Vaccine Particle Titer in Cell Culture Media

A new tandem chromatography method was developed to directly measure the titers of various vaccine candidate molecules in cell culture without a prior purification step. The method utilized a strong anion exchange chromatography (IEC) column in tandem with a size exclusion chromatography (SEC) column to efficiently separate the nanoparticle and virus-like particle (VLP) vaccine molecules from host cell proteins and other components in the cell culture media. The dual (charge and hydrodynamic size) separation mode was deemed necessary to achieve good separation of the vaccine product for quantitation. The method development and quality assessment illustrated herein was focused on the influenza vaccine candidate H1ssF, a hemagglutinin (group 1) stabilized stem molecule fused to ferritin to form nanoparticles. This newly established method was then successfully applied to several vaccine candidate developmental projects, such as the hemagglutinin-ferritin (HAF) nanoparticle and encephalitic alphavirus VLP-based vaccines. This IEC-SEC strategy was established as a platform approach for direct titer measurement of novel vaccine molecules in cell culture.