Characterization and Analysis of HEK293/Adenovirus Type 5 Cell Cultures under Simulated Microgravity Using Differential Neural Network Modeling

Abstract

HEK293 cells are the common system to produce adenoviral vectors for vectorized vaccines and gene therapy products. Therefore, the improvement of this type of cell culture is highly relevant nowadays. Furthermore, the high aspect ratio vessel (HARV) bioreactor provides a simulated microgravity condition (SMGC) which allows the establishment of in vitro models of mammalian cells. The present work is aimed at showing the characterization of HEK293 cell cultures in serum-free medium under SMGC and to identify a set of adaptable time differential equations from experimental data through a nonparametric mathematical modeling using differential neural networks (DNN). Results showed that the HARV bioreactor enables to obtain a gravity percentage equal to 〖%g〗_ maximum = − 0.053 % (where minus sign implies against the gravity direction). In addition, the characterization of HEK293 culture under SMGC revealed that such condition favored the production of infective viral particles as well as the uptake of basic nutrients such as glucose and glutamine, but the cell concentration was not significantly affected. As shown, these results contribute to improve the adenoviral vector production, and the DNN analysis is useful to model the kinetic changes and to build the foundations for control strategies and optimization of adenoviral production in further studies.