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Marschall L, Gottimukkala CB, Kayal B, Veeraraghavan VM, Mandal SK, Bandyopadhyay S, Herwig C. Temperature Upshifts in Mammalian Cell Culture: A Suitable Strategy for Biosimilar Monoclonal Antibodies? Bioengineering (Basel) 2023; 10:1149. [PMID: 37892879 PMCID: PMC10603922 DOI: 10.3390/bioengineering10101149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 09/22/2023] [Accepted: 09/26/2023] [Indexed: 10/29/2023] Open
Abstract
Temperature downshifts are the gold standard when setting up control strategies for mammalian cell culture processes. These shifts are performed to prolong production phases and attain heightened levels of productivity. For the development of biosimilars, however, the bottleneck is in achieving a prespecified product quality. In a late-stage development project, we investigated the impact of temperature shifts and other process parameters with the aim of optimizing the glycosylation profile of a monoclonal antibody (mAb). We applied a design of experiments approach on a 3 L scale. The optimal glycosylation profile was achieved when performing a temperature upshift from 35.8 °C to 37 °C. Total afucosylated glycan (TAF) decreased by 1.2%, and galactosylated glycan species (GAL) increased by up to 4.5%. The optimized control strategy was then successfully taken to the manufacturing scale (1000 L). By testing two sets of set points at the manufacturing scale, we demonstrated that the statistical models predicting TAF and GAL trained with small-scale data are representative of the manufacturing scale. We hope this study encourages researchers to widen the screening ranges in process development and investigate whether temperature upshifts are also beneficial for other mAbs.
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Affiliation(s)
- Lukas Marschall
- TU Wien, Faculty of Technical Chemistry, Research Unit Biochemical Engineering, Gumpendorferstrasse 1a, 1060 Vienna, Austria
- Körber Pharma Austria GmbH, Mariahilfer Straße 88A/1/9, 1070 Vienna, Austria
| | - Chitti Babu Gottimukkala
- Dr. Reddy’s Laboratories Ltd., Biologics, Survey No. 47, Bachupally, Hyderabad 500090, India; (C.B.G.); (B.K.); (V.M.V.); (S.K.M.); (S.B.)
| | - Biswajit Kayal
- Dr. Reddy’s Laboratories Ltd., Biologics, Survey No. 47, Bachupally, Hyderabad 500090, India; (C.B.G.); (B.K.); (V.M.V.); (S.K.M.); (S.B.)
| | - Veerabhadra Madurai Veeraraghavan
- Dr. Reddy’s Laboratories Ltd., Biologics, Survey No. 47, Bachupally, Hyderabad 500090, India; (C.B.G.); (B.K.); (V.M.V.); (S.K.M.); (S.B.)
| | - Samir Kumar Mandal
- Dr. Reddy’s Laboratories Ltd., Biologics, Survey No. 47, Bachupally, Hyderabad 500090, India; (C.B.G.); (B.K.); (V.M.V.); (S.K.M.); (S.B.)
| | - Suman Bandyopadhyay
- Dr. Reddy’s Laboratories Ltd., Biologics, Survey No. 47, Bachupally, Hyderabad 500090, India; (C.B.G.); (B.K.); (V.M.V.); (S.K.M.); (S.B.)
| | - Christoph Herwig
- TU Wien, Faculty of Technical Chemistry, Research Unit Biochemical Engineering, Gumpendorferstrasse 1a, 1060 Vienna, Austria
- Körber Pharma Austria GmbH, Mariahilfer Straße 88A/1/9, 1070 Vienna, Austria
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Bayer B, Sissolak B, Duerkop M, von Stosch M, Striedner G. The shortcomings of accurate rate estimations in cultivation processes and a solution for precise and robust process modeling. Bioprocess Biosyst Eng 2019; 43:169-178. [PMID: 31541314 PMCID: PMC6960212 DOI: 10.1007/s00449-019-02214-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 06/21/2019] [Accepted: 09/10/2019] [Indexed: 11/27/2022]
Abstract
The accurate estimation of cell growth or the substrate consumption rate is crucial for the understanding of the current state of a bioprocess. Rates unveil the actual cell status, making them valuable for quality-by-design concepts. However, in bioprocesses, the real rates are commonly not accessible due to analytical errors. We simulated Escherichia coli fed-batch fermentations, sampled at four different intervals and added five levels of noise to mimic analytical inaccuracy. We computed stepwise integral estimations with and without using moving average estimations, and smoothing spline interpolations to compare the accuracy and precision of each method to calculate the rates. We demonstrate that stepwise integration results in low accuracy and precision, especially at higher sampling frequencies. Contrary, a simple smoothing spline function displayed both the highest accuracy and precision regardless of the chosen sampling interval. Based on this, we tested three different options for substrate uptake rate estimations.
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Affiliation(s)
- B Bayer
- Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria.
| | - B Sissolak
- Bilfinger Industrietechnik Salzburg GmbH, Salzburg, Austria.
| | - M Duerkop
- Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria
| | - M von Stosch
- School of Chemical Engineering and Advanced Materials, Newcastle University, Newcastle upon Tyne, UK
| | - G Striedner
- Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria
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