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Ohura K, Nakada Y, Imai T. Bioconversion and P-gp-Mediated Transport of Depot Fluphenazine Prodrugs after Intramuscular Injection. J Pharm Sci 2023; 112:1975-1984. [PMID: 37019360 DOI: 10.1016/j.xphs.2023.03.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 03/26/2023] [Accepted: 03/26/2023] [Indexed: 04/07/2023]
Abstract
Fluphenazine (FPZ) decanoate, an ester-type prodrug formulated as a long-acting injection (LAI), is used in the treatment of schizophrenia. FPZ enanthate was also developed as an LAI formulation, but is no longer in use clinically because of the short elimination half-life of FPZ, the parent drug, after intramuscular injection. In the present study, the hydrolysis of FPZ prodrugs was evaluated in human plasma and liver to clarify the reason for this difference in elimination half-lives. FPZ prodrugs were hydrolyzed in human plasma and liver microsomes. The rate of hydrolysis of FPZ enanthate in human plasma and liver microsomes was 15-fold and 6-fold, respectively, faster than that of FPZ decanoate. Butyrylcholinesterase (BChE) and human serum albumin (HSA) present in human plasma, and two carboxylesterase (CES) isozymes, hCE1 and hCE2, expressed in ubiquitous organs including liver, were mainly responsible for the hydrolysis of FPZ prodrugs. FPZ prodrugs may not be bioconverted in human skeletal muscle at the injection site because of lack of expression of BChE and CESs in muscle. Interestingly, although FPZ was a poor substrate for human P-glycoprotein, FPZ caproate was a good substrate. In conclusion, it is suggested that the shorter elimination half-life of FPZ following administration of FPZ enanthate compared with FPZ decanoate can be attributed to the more rapid hydrolysis of FPZ enanthate by BChE, HSA and CESs.
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Affiliation(s)
- Kayoko Ohura
- Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto, Japan; Headquarters for Admissions and Education, Kumamoto University, Kumamoto, Japan
| | | | - Teruko Imai
- Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto, Japan; Daiichi University of Pharmacy, Fukuoka, Japan.
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Kovner D, Yuk IH, Shen A, Li H, Graf T, Gupta S, Liu W, Tomlinson A. Characterization of Recombinantly-Expressed Hydrolytic Enzymes from Chinese Hamster Ovary Cells: Identification of Host Cell Proteins that Degrade Polysorbate. J Pharm Sci 2023:S0022-3549(23)00005-9. [PMID: 36646283 DOI: 10.1016/j.xphs.2023.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 01/03/2023] [Accepted: 01/03/2023] [Indexed: 01/15/2023]
Abstract
Enzymatic hydrolysis of polysorbate in drug products is a major challenge for the biopharmaceutical industry. Polysorbate hydrolysis caused by host cell proteins (HCPs) co-purified during bioprocessing can reduce the protective effects of the surfactant for the active pharmaceutical ingredient and cause the accumulation of low-solubility degradation products over the long-term storage. The identities of such HCPs are elusive due to their extremely low concentrations after the efficient purification processes of most biopharmaceuticals. In this work, 20 enzymes-selected for their known or putative hydrolytic activity and potential to degrade polysorbate-were recombinantly expressed, purified, and characterized via orthogonal methods. First, these recombinant HCPs were assessed for hydrolytic activity against a fluorogenic esterase substrate in a recently-developed, high-throughput assay. Second, these HCPs were screened for hydrolytic activity against polysorbate in a representative mAb formulation. Third, HCPs that displayed hydrolytic activities in the first two assays were subjected to more detailed characterization of their enzyme kinetics against polysorbates. Finally, these HCPs were evaluated for substrate specificity towards different sub-species of polysorbates. This work provides critical new insights for targeted LC-MS/MS approaches for identification of relevant polysorbate-degrading enzymes and supports improvements to remove such HCPs, including knockouts or targeted removal during purification.
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Graf T, Tomlinson A, Yuk IH, Kufer R, Spensberger B, Falkenstein R, Shen A, Li H, Duan D, Liu W, Wohlrab S, Edelmann F, Leiss M. Identification and Characterization of Polysorbate-Degrading Enzymes in a Monoclonal Antibody Formulation. J Pharm Sci 2021; 110:3558-3567. [PMID: 34224732 DOI: 10.1016/j.xphs.2021.06.033] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 06/28/2021] [Accepted: 06/29/2021] [Indexed: 11/29/2022]
Abstract
Degradation of polysorbate (PS) by hydrolytically active host cell proteins (HCPs) in drug products may impair the protein-stabilizing properties of PS and lead to the formation of particles due to the accumulation of poorly soluble free fatty acids upon long-term storage. The identification of the causative enzymes is challenging due to their low-abundance even when using state-of-the-art instrumentation and workflows. To overcome these challenges, we developed a rigorous enrichment strategy for HCPs, utilizing both Protein A and anti-HCP affinity chromatography, which facilitated the in-depth characterization of the HCP population in a monoclonal antibody formulation prone to PS hydrolysis. Based on the HCPs identified by liquid chromatography coupled to tandem mass spectrometry, a number of enzymes annotated as hydrolases were recombinantly expressed and characterized in terms of polysorbate degradation. Among the selected candidates, Lipoprotein Lipase, Lysosomal Acid Lipase (LIPA) and Palmitoyl-Protein Thioesterase 1 (PPT1) exhibited notable activity towards PS. To our knowledge, this is the first report to identify LIPA and PPT1 as residual HCPs that can contribute to PS degradation in a biological product.
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Affiliation(s)
- Tobias Graf
- Roche Diagnostics GmbH, Nonnenwald 2, 82377 Penzberg, Germany.
| | - Anthony Tomlinson
- Pharma Technical Development, Genentech, 1 DNA Way, South San Francisco, California, USA
| | - Inn H Yuk
- Pharma Technical Development, Genentech, 1 DNA Way, South San Francisco, California, USA
| | - Regina Kufer
- Roche Diagnostics GmbH, Nonnenwald 2, 82377 Penzberg, Germany
| | | | | | - Amy Shen
- Pharma Technical Development, Genentech, 1 DNA Way, South San Francisco, California, USA
| | - Hong Li
- Pharma Technical Development, Genentech, 1 DNA Way, South San Francisco, California, USA
| | - Dana Duan
- Pharma Technical Development, Genentech, 1 DNA Way, South San Francisco, California, USA
| | - Wenqiang Liu
- Pharma Technical Development, Genentech, 1 DNA Way, South San Francisco, California, USA
| | | | | | - Michael Leiss
- Roche Diagnostics GmbH, Nonnenwald 2, 82377 Penzberg, Germany
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Affleck RP, Khamar D, Lowerre KM, Adler N, Cullen S, Yang M, McCoy TR. Near Infrared and Frequency Modulated Spectroscopy as Non-Invasive Methods for Moisture Assessment of Freeze-Dried Biologics. J Pharm Sci 2021; 110:3395-3402. [PMID: 34118253 DOI: 10.1016/j.xphs.2021.06.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 06/05/2021] [Accepted: 06/06/2021] [Indexed: 11/17/2022]
Abstract
Near-infrared (NIR) and frequency modulated spectroscopy (FMS) were employed, for non-invasive moisture determination of a lyophilized biologic drug product (DP). Development of NIR and FMS provides a rapid non-invasive means of residual moisture measurement, and would be beneficial compared with traditional time consuming, product destructive methods such as Karl Fischer (KF). A model therapeutic enzyme in a sucrose-based formulation was employed for proof of concept studies, and NIR and FMS methods were compared side by side for residual moisture analysis. Moisture models were created using lyophilized vials and comparisons were made between the methods using different moisture preparation approaches:1) direct water droplet addition to the vial headspace, 2) use of elevated temperature (80°C), and 3) using various levels of moisture in stoppers generated during the washing and drying procedures, then lyophilizing using the stoppers and placing the sealed vials on stability. The results for direct water addition gave an average percent error for residual moisture of 5.7% for NIR and 9.4% for FMS when compared to KF. The elevated temperature method resulted in an average percent error for residual moisture of 54% for NIR and 43% for FMS compared to KF. The stopper moisture stability study, for FMS, provided an average percent error for residual moisture of 31% compared to KF. The error was greater for the elevated temperature and stopper methods, due to the low moisture values, which resulted in greater error. At this lower range of moisture (<1%) both NIR and FMS were less accurate, but from 1 to 5% their accuracy increased, based on the models used in this study. NIR and FMS methods can be used to complement KF at these lower moisture levels and models could be further improved with additional data points. NIR and FMS methods have advantages and disadvantages for residual moisture analysis when compared to each other, but both provided an accurate measurement of drug product moisture (depending on the method used for moisture increase), they can be used as process analytical technology (PAT), and both can be used for fast non-invasive moisture determination.
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Affiliation(s)
- Richard P Affleck
- Biologics Drug Product Development, Sanofi, Framingham, United States.
| | | | - Katie M Lowerre
- Biologics Drug Product Development, Sanofi, Framingham, United States
| | - Nikoletta Adler
- Manufacturing Science and Technology, Sanofi, Waterford, Ireland
| | - Sean Cullen
- Manufacturing Science and Technology, Sanofi, Waterford, Ireland
| | - Mark Yang
- Biologics Drug Product Development, Sanofi, Framingham, United States
| | - Timothy R McCoy
- Biologics Drug Product Development, Sanofi, Framingham, United States
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Wiśniewski JR. Dilemmas With Absolute Quantification of Pharmacologically Relevant Proteins Using Mass Spectrometry. J Pharm Sci 2020; 110:17-21. [PMID: 33141047 DOI: 10.1016/j.xphs.2020.10.034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 10/08/2020] [Accepted: 10/19/2020] [Indexed: 01/27/2023]
Abstract
Determination of abundances of proteins involved in uptake, distribution, metabolism and excretion of xenobiotics is a prerequisite to understand and predict elimination mechanisms in tissue. Mass spectrometry promises simple and accurate measurements of individual proteins in complex mixtures using isotopically labeled peptide standards. However, comparisons of measurements performed in different laboratories have shown considerable discrepancies in the data generated. Even when very similar approaches are compared, the results differ significantly. An alternative method of measuring protein titers is global proteomics. Depending on sample type, this allows quantification of hundreds to thousands of proteins in a single analysis. It enables system-wide insights by providing protein copy numbers and cell sizes. Regardless of differences, the workflows of both the labeled standard-based and the proteomic approach share several steps. Each can be critical. Selection of optimal techniques is the prerequisite for accurate and reproducible protein quantification.
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Affiliation(s)
- Jacek R Wiśniewski
- Biochemical Proteomics Group, Department of Proteomics and Signal Transduction, Max-Planck-Institute of Biochemistry, Am Klopferspitz 18, D-82152 Martinsried, Germany.
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