Trypsin is commonly used in Madin-Darby canine kidney (MDCK) cell culture-based influenza vaccine production to facilitate virus infection by proteolytic activation of viral haemagglutinin, which enables multi-cycle replication. In this study, we were able to demonstrate that trypsin also interferes with pathogen defence mechanisms of host cells. In particular, a trypsin concentration of 5 BAEE U/mL (4.5 μg/mL porcine trypsin) used in vaccine manufacturing strongly inhibited interferon (IFN) signalling by proteolytic degradation of secreted IFN. Consequently, absence of trypsin during infection resulted in a considerably stronger induction of IFN signalling and apoptosis, which significantly reduced virus yields. Under this condition, multi-cycle virus replication in MDCK cells was not prevented but clearly delayed. Therefore, incomplete infection can be ruled out as the reason for the lower virus titres. However, suppression of IFN signalling by overexpression of viral IFN antagonists (influenza virus PR8-NS1, rabies virus phosphoprotein) partially rescued virus titres in the absence of trypsin. In addition, virus yields could be almost restored by using the influenza strain A/WSN/33 in combination with fetal calf serum (FCS). For this strain, FCS enabled trypsin-independent fast propagation of virus infection, probably outrunning cellular defence mechanisms and apoptosis induction in the absence of trypsin. Overall, addition of trypsin provided optimal conditions for high yield vaccine production in MDCK cells by two means. On the one hand, proteolytic degradation of IFN keeps cellular defence at a low level. On the other hand, enhanced virus spreading enables viruses to replicate before the cellular response becomes fully activated.

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This contribution is concerned with population balance modeling of virus-host cell interactions during vaccine production. Replication of human influenza A virus in cultures of adherent Madin-Darby canine kidney (MDCK) cells is considered as a model system. The progress of infection can be characterized by the intracellular amount of viral nucleoprotein (NP) which is measured via flow cytometry. This allows the differentiation of the host cell population and gives rise to a distributed modeling approach. For this purpose a degree of fluorescence is introduced as an internal coordinate which is linearly linked to the intracellular amount of NP. Experimental results for different human influenza A subtypes reveal characteristic dynamic phenomena of the cell distribution like transient multimodality and reversal of propagation direction. The presented population balance model provides a reasonable explanation for these dynamic phenomena by the explicit consideration of different states of infection of individual cells. Kinetic parameters are determined from experimental data. To translate the emerging infinite dimensional parameter estimation problem to a finite dimension the parameters are assumed to depend linearly on the internal coordinate. As a result, the model is able to reproduce all characteristic dynamic phenomena of the considered process for the two examined virus strains and allows deeper insight into the underlying kinetic processes. Thus, the model is an important contribution to the understanding of the intracellular virus replication and virus spreading in cell cultures and can serve as a stepping stone for optimization in vaccine production.

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