A case study: Correlation of the nutrient composition in Chinese Hamster Ovary cultures with cell growth, antibody titre and quality attributes using multivariate analyses for guiding medium and feed optimization in early upstream process development

In this case-study, we demonstrate an approach for identifying correlations between nutrients/metabolites in the spent medium of CHO cell cultures and cell growth, mAb titre and critical quality attributes, using multivariate analyses, which can aid in selection of targets for medium and feed optimization. An extensive LC–MS-based method was used to analyse the spent medium composition. Partial least squares (PLS) model was used to identify correlations between nutrient composition and cell growth and mAb titre and orthogonal projections to latent structures (OPLS) model was used to determine the effect of the changing nutrient composition during the culture on critical quality attributes. The PLS model revealed that the initial concentrations of several amino acids as well as pyruvic acid and pyridoxine, governed the early cell growth, while the concentrations of TCA cycle intermediates and several vitamins highly influenced the stationary phase, in which mAb production was maximum. For the first time, with the help of the OPLS model, we were able to draw correlations between nutrients/metabolites during the culture and critical quality attributes, for example, optimizing the supply of certain amino acids and vitamins could reduce impurities while simultaneously increasing desirable glycoforms. The unique correlations obtained from such an exploratory analysis, utilizing conditions that are commonly adopted in early process development, present opportunities for optimizing the compositions of the growth media and the feed media for enhancing cell growth, mAb production and quality, thereby proving to be a useful preliminary step in bioprocess optimization.