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Shi W, Zhang TY, Fang CY, Zhang SQ, Li KB, Zhang XB, Han DM. Transforming waste into valuables: Preparation and evaluation of dual-ligand hydrophobic charge-induction chromatography using two poor performing ligands. J Chromatogr A 2024; 1726:464975. [PMID: 38735118 DOI: 10.1016/j.chroma.2024.464975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 04/28/2024] [Accepted: 05/06/2024] [Indexed: 05/14/2024]
Abstract
In conventional chromatographic ligand screening, underperforming ligands are often dismissed. However, this practice may inadvertently overlook potential opportunities. This study aims to investigate whether these underperforming ligands can be repurposed as valuable assets. Hydrophobic charge-induction chromatography (HCIC) is chosen as the validation target for its potential as an innovative chromatographic mode. A novel dual-ligand approach is employed, combining two suboptimal ligands (5-Aminobenzimidazole and Tryptamine) to explore enhanced performance and optimization prospects. Various dual-ligand HCIC resins with different ligand densities were synthesized by adjusting the ligand ratio and concentration. The resins were characterized to assess appearance, functional groups, and pore features using SEM, FTIR, and ISEC techniques. Performance assessments were conducted using single-ligand mode resins as controls, evaluating the selectivity against human immunoglobulin G and human serum albumin. Static adsorption experiments were performed to understand pH and salt influence on adsorption. Breakthrough experiments were conducted to assess dynamic adsorption capacity of the novel resin. Finally, chromatographic separation using human serum was performed to evaluate the purity and yield of the resin. Results indicated that the dual-ligand HCIC resin designed for human antibodies demonstrates exceptional selectivity, surpassing not only single ligand states but also outperforming certain high-performing ligand types, particularly under specific salt and pH conditions. Ultimately, a high yield of 83.9 % and purity of 96.7 % were achieved in the separation of hIgG from human serum with the dual-ligand HCIC, significantly superior to the single-ligand resins. In conclusion, through rational design and proper operational conditions, the dual-ligand mode can revitalize underutilized ligands, potentially introducing novel and promising chromatographic modes.
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Affiliation(s)
- Wei Shi
- School of Pharmaceutical and Chemical Engineering, Taizhou University, Jiaojiang 318000, China; Taizhou Research Institute of Bio-Medical and Chemical Industry CO., LTD, Jiaojiang 318000, China
| | - Tian-Yi Zhang
- School of Pharmaceutical and Chemical Engineering, Taizhou University, Jiaojiang 318000, China
| | - Chao-Ying Fang
- School of Pharmaceutical and Chemical Engineering, Taizhou University, Jiaojiang 318000, China
| | - Si-Qi Zhang
- School of Pharmaceutical and Chemical Engineering, Taizhou University, Jiaojiang 318000, China
| | - Kai-Bin Li
- School of Pharmaceutical and Chemical Engineering, Taizhou University, Jiaojiang 318000, China
| | - Xiao-Bin Zhang
- School of Pharmaceutical and Chemical Engineering, Taizhou University, Jiaojiang 318000, China
| | - De-Man Han
- School of Pharmaceutical and Chemical Engineering, Taizhou University, Jiaojiang 318000, China.
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Bhoyar S, Kumar V, Foster M, Xu X, Traylor SJ, Guo J, Lenhoff AM. Predictive mechanistic modeling of loading and elution in protein A chromatography. J Chromatogr A 2024; 1713:464558. [PMID: 38096684 DOI: 10.1016/j.chroma.2023.464558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 12/01/2023] [Accepted: 12/03/2023] [Indexed: 01/08/2024]
Abstract
Protein A chromatography is an enabling technology in current manufacturing processes of monoclonal antibodies (mAbs) and mAb derivatives, largely due to its ability to reduce the levels of process-related impurities by several orders of magnitude. Despite its widespread application, the use of mathematical modeling capable of accurately predicting the full protein A chromatographic process, including loading, post-loading wash and elution stages, has been limited. This work describes a mechanistic modeling approach utilizing the general rate model (GRM), the capabilities of which are explored and optimized using two isotherm models. Isotherm parameters were estimated by inverse-fitting simulated breakthrough curves to experimental data at various pH values. The parameter values so obtained were interpolated across the relevant pH range using a best-fit curve, thus enabling their use in predictive modeling, including of elution over a range of pH. The model provides accurate predictions (< 3% mean error in 10% dynamic binding capacity predictions and ∼ 5% mean error in elution mass and pool volume predictions, both on scale-up) for various residence times, buffer conditions and elution schemes and its effectiveness for use in scale-up and process development is shown by applying the same parameters to larger columns and a wider range of residence times.
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Affiliation(s)
- Soumitra Bhoyar
- Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE 19716, USA
| | - Vijesh Kumar
- Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE 19716, USA
| | - Max Foster
- Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE 19716, USA
| | - Xuankuo Xu
- Biologics Development, Bristol Myers Squibb Co, Devens, MA 01434, USA
| | - Steven J Traylor
- Biologics Development, Bristol Myers Squibb Co, Devens, MA 01434, USA
| | - Jing Guo
- Biologics Development, Bristol Myers Squibb Co, Devens, MA 01434, USA
| | - Abraham M Lenhoff
- Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE 19716, USA.
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Blake-Hedges J, Groff D, Foo W, Hanson J, Castillo E, Wen M, Cheung D, Masikat MR, Lu J, Park Y, Carlos NA, Usman H, Fong K, Yu A, Zhou S, Kwong J, Tran C, Li X, Yuan D, Hallam T, Yin G. Production of antibodies and antibody fragments containing non-natural amino acids in Escherichia coli. MAbs 2024; 16:2316872. [PMID: 38381460 PMCID: PMC10883104 DOI: 10.1080/19420862.2024.2316872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 02/06/2024] [Indexed: 02/22/2024] Open
Abstract
Therapeutic bioconjugates are emerging as an essential tool to combat human disease. Site-specific conjugation technologies are widely recognized as the optimal approach for producing homogeneous drug products. Non-natural amino acid (nnAA) incorporation allows the introduction of bioconjugation handles at genetically defined locations. Escherichia coli (E. coli) is a facile host for therapeutic nnAA protein synthesis because it can stably replicate plasmids encoding genes for product and nnAA incorporation. Here, we demonstrate that by engineering E. coli to incorporate high levels of nnAAs, it is feasible to produce nnAA-containing antibody fragments and full-length immunoglobulin Gs (IgGs) in the cytoplasm of E. coli. Using high-density fermentation, it was possible to produce both of these types of molecules with site-specifically incorporated nnAAs at titers > 1 g/L. We anticipate this strategy will help simplify the production and manufacture of promising antibody therapeutics.
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Affiliation(s)
| | - Dan Groff
- Research and Process Development, Sutro Biopharma, Inc, South San Francisco, CA, USA
| | - Wilson Foo
- Research and Process Development, Sutro Biopharma, Inc, South San Francisco, CA, USA
| | - Jeffrey Hanson
- Research and Process Development, Sutro Biopharma, Inc, South San Francisco, CA, USA
| | - Elenor Castillo
- Research and Process Development, Sutro Biopharma, Inc, South San Francisco, CA, USA
| | - Miao Wen
- Research and Process Development, Sutro Biopharma, Inc, South San Francisco, CA, USA
| | - Diana Cheung
- Research and Process Development, Sutro Biopharma, Inc, South San Francisco, CA, USA
| | - Mary Rose Masikat
- Research and Process Development, Sutro Biopharma, Inc, South San Francisco, CA, USA
| | - Jian Lu
- Research and Process Development, Sutro Biopharma, Inc, South San Francisco, CA, USA
| | - Young Park
- Research and Process Development, Sutro Biopharma, Inc, South San Francisco, CA, USA
| | - Nina Abi Carlos
- Research and Process Development, Sutro Biopharma, Inc, South San Francisco, CA, USA
| | - Hans Usman
- Research and Process Development, Sutro Biopharma, Inc, South San Francisco, CA, USA
| | - Kevin Fong
- Research and Process Development, Sutro Biopharma, Inc, South San Francisco, CA, USA
| | - Abigail Yu
- Research and Process Development, Sutro Biopharma, Inc, South San Francisco, CA, USA
| | - Sihong Zhou
- Research and Process Development, Sutro Biopharma, Inc, South San Francisco, CA, USA
| | - Joyce Kwong
- Research and Process Development, Sutro Biopharma, Inc, South San Francisco, CA, USA
| | - Cuong Tran
- Research and Process Development, Sutro Biopharma, Inc, South San Francisco, CA, USA
| | - Xiaofan Li
- Research and Process Development, Sutro Biopharma, Inc, South San Francisco, CA, USA
| | - Dawei Yuan
- Research and Process Development, Sutro Biopharma, Inc, South San Francisco, CA, USA
| | - Trevor Hallam
- Research and Process Development, Sutro Biopharma, Inc, South San Francisco, CA, USA
| | - Gang Yin
- Research and Process Development, Sutro Biopharma, Inc, South San Francisco, CA, USA
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Ren T, Tan Z, Ehamparanathan V, Lewandowski A, Ghose S, Li ZJ. Antibody disulfide bond reduction and recovery during biopharmaceutical process development-A review. Biotechnol Bioeng 2021; 118:2829-2844. [PMID: 33844277 DOI: 10.1002/bit.27790] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 04/07/2021] [Accepted: 04/08/2021] [Indexed: 12/29/2022]
Abstract
Antibody disulfide bond reduction has been a challenging issue in monoclonal antibody manufacturing. It could lead to a decrease of product purity and failure to meet the targeted product profile and/or specifications. More importantly, disulfide bond reduction could also impact drug safety and efficacy. Scientists across the industry have been examining the root causes and developing mitigation strategies to address the challenge. In recent years, with the development of high titer mammalian cell culture processes to meet the rapidly growing demand for antibody biopharmaceuticals, disulfide bond reduction has been observed more frequently. Thus, it is necessary to continue evolving the disulfide reduction mitigation strategies and developing novel approaches to maintain high product quality. Additionally, in recent years as more complex molecules (such as bispecific and trispecific antibodies) emerge, the molecular heterogeneity due to incomplete formation of the interchain disulfide bonds becomes a more imperative challenging issue. Given the disulfide reduction challenges that biotech industry is facing, in this review, we provide a comprehensive scientific summary of the root cause analysis of disulfide reduction during process development of antibody therapeutics, mitigation strategies and its potential remediated recovery based on published papers. First, this paper intends to highlight different aspects of the root cause for disulfide reduction. Secondly, to provide a broader understanding of the disulfide bond reduction in downstream process, this paper discusses disulfide bond reduction impact on product stability, associated analytical methods for disulfide bond reduction detection and characterization, process control strategies as well as their manufacturing implementation. In addition, brief perspectives on the development of future mitigation strategies are also reviewed, including platform alignment, mitigation strategy application for the emerging new modalities such as bispecific and trispecific antibodies as well as using machine learning to identify molecule susceptibility of disulfide bond reduction. The data in this review are originated from the published papers.
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Affiliation(s)
- Tingwei Ren
- Biologics Development, Global Product Development and Supply, Bristol-Myers Squibb, Devens, Massachusetts
| | - Zhijun Tan
- Biologics Development, Global Product Development and Supply, Bristol-Myers Squibb, Devens, Massachusetts
| | - Vivekh Ehamparanathan
- Biologics Development, Global Product Development and Supply, Bristol-Myers Squibb, Devens, Massachusetts
| | - Angela Lewandowski
- Biologics Development, Global Product Development and Supply, Bristol-Myers Squibb, Devens, Massachusetts
| | - Sanchayita Ghose
- Biologics Development, Global Product Development and Supply, Bristol-Myers Squibb, Devens, Massachusetts
| | - Zheng Jian Li
- Biologics Development, Global Product Development and Supply, Bristol-Myers Squibb, Devens, Massachusetts
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