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Bryniarski MA, Tuhin MTH, Acker TM, Wakefield DL, Sethaputra PG, Cook KD, Soto M, Ponce M, Primack R, Jagarapu A, LaGory EL, Conner KP. Cellular Neonatal Fc Receptor Recycling Efficiencies can Differentiate Target-Independent Clearance Mechanisms of Monoclonal Antibodies. J Pharm Sci 2024; 113:2879-2894. [PMID: 38906252 DOI: 10.1016/j.xphs.2024.06.013] [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: 02/08/2024] [Revised: 06/15/2024] [Accepted: 06/17/2024] [Indexed: 06/23/2024]
Abstract
In vivo clearance mechanisms of therapeutic monoclonal antibodies (mAbs) encompass both target-mediated and target-independent processes. Two distinct determinants of overall mAb clearance largely separate of target-mediated influences are non-specific cellular endocytosis and subsequent pH-dependent mAb recycling mediated by the neonatal Fc receptor (FcRn), where inter-mAb variability in the efficiency of both processes is observed. Here, we implemented a functional cell-based FcRn recycling assay via Madin-Darby canine kidney type II cells stably co-transfected with human FcRn and its light chain β2-microglobulin. Next, a series of pH-dependent internalization studies using a model antibody demonstrated proper function of the human FcRn complex. We then applied our cellular assays to assess the contribution of both FcRn and non-specific interactions in the cellular turnover for a panel of 8 clinically relevant mAbs exhibiting variable human pharmacokinetic behavior. Our results demonstrate that the interplay of non-specific endocytosis rates, pH-dependent non-specific interactions, and engagement with FcRn all contribute to the overall recycling efficiency of therapeutic monoclonal antibodies. The predictive capacity of our assay approach was highlighted by successful identification of all mAbs within our panel possessing clearance in humans greater than 5 mL/day/kg. These results demonstrate that a combination of cell-based in vitro assays can properly resolve individual mechanisms underlying the overall in vivo recycling efficiency and non-target mediated clearance of therapeutic mAbs.
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Affiliation(s)
- Mark A Bryniarski
- Pharmacokinetics and Drug Metabolism, Amgen Research, 750 Gateway Blvd, Suite 100, South San Francisco, CA 94080, USA.
| | - Md Tariqul Haque Tuhin
- Pharmacokinetics and Drug Metabolism, Amgen Research, 750 Gateway Blvd, Suite 100, South San Francisco, CA 94080, USA
| | - Timothy M Acker
- Pharmacokinetics and Drug Metabolism, Amgen Research, 750 Gateway Blvd, Suite 100, South San Francisco, CA 94080, USA
| | - Devin L Wakefield
- Research Biomics, Amgen Research, 750 Gateway Blvd, Suite 100, South San Francisco, CA 94080, USA
| | - Panijaya Gemy Sethaputra
- Pharmacokinetics and Drug Metabolism, Amgen Research, 750 Gateway Blvd, Suite 100, South San Francisco, CA 94080, USA
| | - Kevin D Cook
- Pharmacokinetics and Drug Metabolism, Amgen Research, 750 Gateway Blvd, Suite 100, South San Francisco, CA 94080, USA
| | - Marcus Soto
- Pharmacokinetics & Drug Metabolism, Amgen Research, One Amgen Center Drive, Thousand Oaks, CA 91320, USA
| | - Manuel Ponce
- Pharmacokinetics & Drug Metabolism, Amgen Research, One Amgen Center Drive, Thousand Oaks, CA 91320, USA
| | - Ronya Primack
- Pharmacokinetics & Drug Metabolism, Amgen Research, One Amgen Center Drive, Thousand Oaks, CA 91320, USA
| | - Aditya Jagarapu
- Pharmacokinetics and Drug Metabolism, Amgen Research, 750 Gateway Blvd, Suite 100, South San Francisco, CA 94080, USA
| | - Edward L LaGory
- Pharmacokinetics and Drug Metabolism, Amgen Research, 750 Gateway Blvd, Suite 100, South San Francisco, CA 94080, USA
| | - Kip P Conner
- Pharmacokinetics and Drug Metabolism, Amgen Research, 750 Gateway Blvd, Suite 100, South San Francisco, CA 94080, USA.
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Tao X, Sukumaran S, Sperinde G, Liu C, Beardsley MI, Day P, Kalo M, Ayewoh E, Cai H, Wang Y, Jun I, Hirst K, Nguyen V, Chung S, Lee D, Lekkerkerker A, Stefanich E. Sialic Acid Mediated Endothelial and Hepatic Uptake: A Mechanism based Mathematic Model Elucidating the Complex Pharmacokinetics and Pharmacodynamics of Efmarodocokin Alfa, a Variably Glycosylated Fusion Protein. J Pharm Sci 2024; 113:1975-1986. [PMID: 38561054 DOI: 10.1016/j.xphs.2024.03.016] [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: 01/26/2024] [Revised: 03/20/2024] [Accepted: 03/22/2024] [Indexed: 04/04/2024]
Abstract
Sialic acid (SA) is crucial for protecting glycoproteins from clearance. Efmarodocokin alfa (IL-22Fc), a fusion protein agonist that links IL-22 to the crystallizable fragment (Fc) of human IgG4, contains 8 N-glycosylation sites and exhibits heterogeneous and variable terminal sialylation biodistribution. This presents a unique challenge for Pharmacokinetic (PK) and Pharmacodynamic (PD) analysis and cross-species translation. In this study, we sought to understand how varying SA levels and heterogeneous distribution contribute to IL-22Fc's complex PKPD properties. We initially used homogenous drug material with varying SA levels to examine PKPD in mice. Population PKPD analysis based on mouse data revealed that SA was a critical covariate simultaneously accounting for the substantial between subject variability (BSV) in clearance (CL), distribution clearance (CLd), and volume of distribution (Vd). In addition to the well-established mechanism by which SA inhibits ASGPR activity, we hypothesized a novel mechanism by which decrease in SA increases the drug uptake by endothelial cells. This decrease in SA, leading to more endothelial uptake, was supported by the neonatal Fc receptor (FcRn) dependent cell-based transcytosis assay. The population analysis also suggested in vivo EC50 (IL-22Fc stimulating Reg3β) was independent on SA, while the in-vitro assay indicated a contradictory finding of SA-in vitro potency relationship. We created a mechanism based mathematical (MBM) PKPD model incorporating the decrease in SA mediated endothelial and hepatic uptake, and successfully characterized the SA influence on IL-22Fc PK, as well as the increased PK exposure being responsible for increased PD. Thereby, the MBM model supported that SA has no direct impact on EC50, aligning with the population PKPD analysis. Subsequently, using the MBM PKPD model, we employed 5 subpopulation simulations to reconstitute the heterogeneity of drug material. The simulation accurately predicted the PKPD of heterogeneously and variably sialylated drug in mouse, monkey and human. The successful prospective validation confirmed the MBM's ability to predict IL-22Fc PK across variable SA levels, homogenous to heterogeneous material, and across species (R2=0.964 for clearance prediction). Our model prediction suggests an average of 1 mol/mol SA increase leads to a 50% increase in drug exposure. This underlines the significance of controlling sialic acid levels during lot-to-lot manufacturing.
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Affiliation(s)
- Xun Tao
- Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Siddharth Sukumaran
- Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA; Now at Janssen: Pharmaceutical Companies of Johnson & Johnson, 1125 Trenton-Harbourton Road, Titusville, NJ 08560, USA
| | | | - Chang Liu
- Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | | | - Peter Day
- Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Matt Kalo
- Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | | | - Hao Cai
- Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Yehong Wang
- Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA; Now at Gilead Sciences, Inc, 333 Lakeside Drive. Foster City, CA 94404, USA
| | - Inyoung Jun
- Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA; Now at University of Florida, Gainesville, FL 32611, USA
| | - Kyle Hirst
- Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Van Nguyen
- Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Shan Chung
- Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Donna Lee
- Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | | | - Eric Stefanich
- Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA.
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3
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Yadav R, Sukumaran S, Lutman J, Mitra MS, Halpern W, Sun T, Setiadi AF, Neighbors M, Sheng XR, Yip V, Shen BQ, Liu C, Han L, Ovacik AM, Wu Y, Glickstein S, Kunder R, Arron JR, Pan L, Kamath AV, Stefanich EG. Utilizing PK and PD Biomarkers to Guide the First-in-Human Starting Dose Selection of MTBT1466A: A Novel Humanized Monoclonal Anti-TGFβ3 Antibody for the Treatment of Fibrotic Diseases. J Pharm Sci 2023; 112:2910-2920. [PMID: 37429356 DOI: 10.1016/j.xphs.2023.07.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 07/03/2023] [Accepted: 07/03/2023] [Indexed: 07/12/2023]
Abstract
MTBT1466A is a high-affinity TGFβ3-specific humanized IgG1 monoclonal antibody with reduced Fc effector function, currently under investigation in clinical trials as a potential anti-fibrotic therapy. Here, we characterized the pharmacokinetics (PK) and pharmacodynamics (PD) of MTBT1466A in mice and monkeys and predicted the PK/PD of MTBT1466A in humans to guide the selection of the first-in-human (FIH) starting dose. MTBT1466A demonstrated a typical IgG1-like biphasic PK profile in monkeys, and the predicted human clearance of 2.69 mL/day/kg and t1/2 of 20.4 days are consistent with those expected for a human IgG1 antibody. In a mouse model of bleomycin-induced lung fibrosis, changes in expression of TGFβ3-related genes, serpine1, fibronectin-1, and collagen 1A1 were used as PD biomarkers to determine the minimum pharmacologically active dose of 1 mg/kg. Unlike in the fibrosis mouse model, evidence of target engagement in healthy monkeys was only observed at higher doses. Using a PKPD-guided approach, the recommended FIH dose of 50 mg, IV, provided exposures that were shown to be safe and well tolerated in healthy volunteers. MTBT1466A PK in healthy volunteers was predicted reasonably well using a PK model with allometric scaling of PK parameters from monkey data. Taken together, this work provides insights into the PK/PD behavior of MTBT1466A in preclinical species, and supports the translatability of the preclinical data into the clinic.
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Affiliation(s)
- Rajbharan Yadav
- Preclinical and Translational Pharmacokinetics and Pharmacodynamics, Genentech Inc., South San Francisco, CA, USA.
| | - Siddharth Sukumaran
- Preclinical and Translational Pharmacokinetics and Pharmacodynamics, Genentech Inc., South San Francisco, CA, USA
| | - Jeff Lutman
- Preclinical and Translational Pharmacokinetics and Pharmacodynamics, Genentech Inc., South San Francisco, CA, USA
| | - Mayur S Mitra
- Safety Assessment, Genentech Inc., South San Francisco, CA, USA
| | - Wendy Halpern
- Safety Assessment, Genentech Inc., South San Francisco, CA, USA
| | - Tianhe Sun
- Immunology Discovery, Genentech Inc., South San Francisco, CA, USA
| | | | | | - X Rebecca Sheng
- Translational Medicine, Genentech Inc., South San Francisco, CA, USA
| | - Victor Yip
- Preclinical and Translational Pharmacokinetics and Pharmacodynamics, Genentech Inc., South San Francisco, CA, USA
| | - Ben-Quan Shen
- Preclinical and Translational Pharmacokinetics and Pharmacodynamics, Genentech Inc., South San Francisco, CA, USA
| | - Chang Liu
- BioAnalytical Sciences, Genentech Inc., South San Francisco, CA, USA
| | - Lyrialle Han
- Clinical Pharmacology, Genentech Inc., South San Francisco, CA, USA
| | - Ayse Meric Ovacik
- Preclinical and Translational Pharmacokinetics and Pharmacodynamics, Genentech Inc., South San Francisco, CA, USA
| | - Yan Wu
- Antibody Engineering, Genentech Inc., South San Francisco, CA, USA
| | - Sara Glickstein
- Early Clinical Development, Genentech Inc, South San Francisco, CA, USA
| | - Rebecca Kunder
- Early Clinical Development, Genentech Inc, South San Francisco, CA, USA
| | - Joseph R Arron
- Immunology Discovery, Genentech Inc., South San Francisco, CA, USA
| | - Lin Pan
- Clinical Pharmacology, Genentech Inc., South San Francisco, CA, USA
| | - Amrita V Kamath
- Preclinical and Translational Pharmacokinetics and Pharmacodynamics, Genentech Inc., South San Francisco, CA, USA
| | - Eric G Stefanich
- Preclinical and Translational Pharmacokinetics and Pharmacodynamics, Genentech Inc., South San Francisco, CA, USA.
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Fernández-Quintero ML, Ljungars A, Waibl F, Greiff V, Andersen JT, Gjølberg TT, Jenkins TP, Voldborg BG, Grav LM, Kumar S, Georges G, Kettenberger H, Liedl KR, Tessier PM, McCafferty J, Laustsen AH. Assessing developability early in the discovery process for novel biologics. MAbs 2023; 15:2171248. [PMID: 36823021 PMCID: PMC9980699 DOI: 10.1080/19420862.2023.2171248] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 01/18/2023] [Indexed: 02/25/2023] Open
Abstract
Beyond potency, a good developability profile is a key attribute of a biological drug. Selecting and screening for such attributes early in the drug development process can save resources and avoid costly late-stage failures. Here, we review some of the most important developability properties that can be assessed early on for biologics. These include the influence of the source of the biologic, its biophysical and pharmacokinetic properties, and how well it can be expressed recombinantly. We furthermore present in silico, in vitro, and in vivo methods and techniques that can be exploited at different stages of the discovery process to identify molecules with liabilities and thereby facilitate the selection of the most optimal drug leads. Finally, we reflect on the most relevant developability parameters for injectable versus orally delivered biologics and provide an outlook toward what general trends are expected to rise in the development of biologics.
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Affiliation(s)
- Monica L. Fernández-Quintero
- Center for Molecular Biosciences Innsbruck (CMBI), Department of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria
| | - Anne Ljungars
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Franz Waibl
- Center for Molecular Biosciences Innsbruck (CMBI), Department of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria
| | - Victor Greiff
- Department of Immunology, University of Oslo, Oslo, Norway
| | - Jan Terje Andersen
- Department of Immunology, University of Oslo, Oslo University Hospital Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine and Department of Pharmacology, University of Oslo, Oslo, Norway
| | | | - Timothy P. Jenkins
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Bjørn Gunnar Voldborg
- National Biologics Facility, Department of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Lise Marie Grav
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Sandeep Kumar
- Biotherapeutics Discovery, Boehringer Ingelheim Pharmaceuticals Inc, Ridgefield, CT, USA
| | - Guy Georges
- Roche Pharma Research and Early Development, Large Molecule Research, Roche Innovation Center Munich, Penzberg, Germany
| | - Hubert Kettenberger
- Roche Pharma Research and Early Development, Large Molecule Research, Roche Innovation Center Munich, Penzberg, Germany
| | - Klaus R. Liedl
- Center for Molecular Biosciences Innsbruck (CMBI), Department of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria
| | - Peter M. Tessier
- Department of Chemical Engineering, Pharmaceutical Sciences and Biomedical Engineering, Biointerfaces Institute, University of Michigan, Ann Arbor, Michigan, USA
| | - John McCafferty
- Department of Medicine, Cambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge, Cambridge, UK
- Maxion Therapeutics, Babraham Research Campus, Cambridge, UK
| | - Andreas H. Laustsen
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark
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Welcome to volume 14 of Bioanalysis. Bioanalysis 2021. [PMID: 34839717 DOI: 10.4155/bio-2021-0248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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