Modeling of cell cultivation for monoclonal antibody production processes considering lactate metabolic shifts

• Published in: Biotechnology progress 2024-11, Vol.40 (6), p.e3486-n/a
• Main Authors: Okamura, Kozue, Badr, Sara, Ichida, Yusuke, Yamada, Akira, Sugiyama, Hirokazu
• Format: Article
• Language: English
• Subjects: Animals; Antibodies, Monoclonal - biosynthesis; Antibodies, Monoclonal - metabolism; Bioreactors; Cell culture; Cell Culture Techniques - methods; Cell lines; Chinese hamster ovary cells; CHO Cells; Consumption; Cricetinae; Cricetulus; Cultivation; Culture media; Design optimization; Dissolved oxygen; Glutamine; Glutamine - metabolism; lactate metabolic shifts; Lactic acid; Lactic Acid - metabolism; Mathematical models; mechanistic model; Metabolism; Models, Biological; Models, Theoretical; Monoclonal antibodies; orbitally‐shaken tanks; Oxygen - metabolism; Oxygen consumption; process design; Productivity; RESEARCH ARTICLE
• ISSN: 8756-7938; 1520-6033; 1520-6033
• DOI: 10.1002/btpr.3486

Demand for monoclonal antibodies (mAbs) is rapidly increasing. To achieve higher productivity, there have been improvements to cell lines, operating modes, media, and cultivation conditions. Representative mathematical models are needed to narrow down the growing number of process alternatives. Previous studies have proposed mechanistic models to depict cell metabolic shifts (e.g., lactate production to consumption). However, the impacts of variations of some operating conditions have not yet been fully incorporated in such models. This paper offers a new mechanistic model considering variations in dissolved oxygen and glutamine depletion on cell metabolism applied to a novel Chinese hamster ovary (CHO) cell line. Expressions for the specific rates of lactate production, glutamine consumption, and mAb production were formulated for stirred and shaken‐tank reactors. A deeper understanding of lactate metabolic shifts was obtained under different combinations of experimental conditions. Lactate consumption was more pronounced in conditions with higher DO and low glutamine concentrations. The model offers mechanistic insights that are useful for designing advanced operation strategies. It can be used in design space generation and process optimization for better productivity and product quality.