Regulatory agencies have recently recommended a Quality by Design (QbD) approach for the manufacturing of therapeutic molecules. A QbD strategy requires deep understanding at the molecular level of the attributes that are crucial for safety and efficacy and for insuring that the desired quality of the purified protein drug product is met at the end of the manufacturing process. A mass spectrometry (MS)-based approach to simultaneously monitor the extensive array of product quality attributes (PQAs) present on therapeutic molecules has been developed. This multi-attribute method (MAM) uses a combination of high mass accuracy / high resolution MS data generated by Orbitrap technology and automated identification and relative quantification of PQAs with dedicated software (Pinpoint). The MAM has the potential to replace several conventional electrophoretic and chromatographic methods currently used in Quality Control to release therapeutic molecules. The MAM represents an optimized analytical solution to focus on the attributes of the therapeutic molecule essential for function and implement QbD principles across process development, manufacturing and drug disposition.

Pressures for cost-effective new therapies and an increased emphasis on emerging markets require technological advancements and a flexible future manufacturing network for the production of biologic medicines. The safety and efficacy of a product is crucial, and consistent product quality is an essential feature of any therapeutic manufacturing process. The active control of product quality in a typical biologic process is challenging because of measurement lags and nonlinearities present in the system. The current study uses nonlinear model predictive control to maintain a critical product quality attribute at a predetermined value during pilot scale manufacturing operations. This approach to product quality control ensures a more consistent product for patients, enables greater manufacturing efficiency, and eliminates the need for extensive process characterization by providing direct measures of critical product quality attributes for real time release of drug product.

Asparagine-linked glycosylation of the constant region of monoclonal antibodies (mAbs) plays an important role in their stability and efficacy and is a critical product quality attribute that needs to be consistent between various process changes and production lots. Exact product quality match is also of the utmost importance for the development of biosimilar protein therapeutics. This poses a process development challenge since mAb glycosylation profiles can fluctuate easily with changes in process parameters. Therefore, there is a need to identify methods to modulate glycosylation levels on therapeutic antibodies during a production run in order to maintain consistent product quality profiles between different drug lots. Here, we demonstrate the use of a small molecule ionophore, monensin, to increase high mannose levels on multiple therapeutic human immunoglobulins (IgGs) in both plate-based small scale production models as well as in production bioreactors. This method is simple to implement and readily applicable for multiple production cell lines. Moreover, high mannose levels can be increased without significant negative impact on titer or cell culture performance. As such, monensin gives us a manipulable product quality lever.