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Implications of Immunogenicity Testing for Therapeutic Monoclonal Antibodies: A Quantitative Pharmacology Framework.

作者信息

Williams Jason H, Liao Kai H, Yin Donghua, Meng Xu

机构信息

Pfizer Inc, San Diego, CA, USA.

Arcus Biosciences, Hayward, CA, USA.

出版信息

AAPS J. 2024 Mar 7;26(2):31. doi: 10.1208/s12248-024-00901-1.


DOI:10.1208/s12248-024-00901-1
PMID:38453809
Abstract

The interpretation of immunogenicity results for a mAb product and prediction of its clinical consequences remain difficult, despite enormous advances in methodologies and efforts toward the best practice for consistent data generation and reporting. To this end, the contribution from the clinical pharmacology discipline has been largely limited to comparing descriptively the pharmacokinetic (PK) profiles by antidrug antibodies (ADA) status or testing the significance of ADA as a covariate in a population PK setting, similar to the practice for small-molecule drugs in investigating the effect of an intrinsic/extrinsic factor on the drug disposition. There is a need for a mAb disposition framework that captures the dynamics of ADA formation and drug's interactions with the ADA and target as parts of the drug distribution and elimination. Here we describe such a framework and examine it against the PK, ADA, and clinical response data from a phase 3 trial in patients treated with adalimumab. The proposed framework offered a generalized understanding of how the dose, target affinity, and drug/ADA analyte forms affects the manifestation of ADA response with regard to its detections and alterations of drug disposition and effectiveness. Furthermore, as an example, its utility for dose considerations was demonstrated through predicting for late-stage trials of a PCSK9 inhibitor in terms of development in ADA incidence and titers, and consequences on the drug disposition, interaction with target, and downstream lowering effect on LDL-C.

摘要

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Implications of Immunogenicity Testing for Therapeutic Monoclonal Antibodies: A Quantitative Pharmacology Framework.

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本文引用的文献

[1]
The global landscape of approved antibody therapies.

Antib Ther. 2022-9-6

[2]
A mechanistic pharmacokinetic model with drug and antidrug antibody interplay, and its application for assessing the impact of immunogenicity response on bioequivalence testing.

Br J Clin Pharmacol. 2020-11

[3]
Molecular Landscape of Anti-Drug Antibodies Reveals the Mechanism of the Immune Response Following Treatment With TNFα Antagonists.

Front Immunol. 2019-12-18

[4]
Model-Based Characterization of the Pharmacokinetics, Target Engagement Biomarkers, and Immunomodulatory Activity of PF-06342674, a Humanized mAb Against IL-7 Receptor-α, in Adults with Type 1 Diabetes.

AAPS J. 2020-1-3

[5]
Development of therapeutic antibodies for the treatment of diseases.

J Biomed Sci. 2020-1-2

[6]
A Quantitative Systems Pharmacology Consortium Approach to Managing Immunogenicity of Therapeutic Proteins.

CPT Pharmacometrics Syst Pharmacol. 2019-11

[7]
A comparative clinical study of PF-06410293, a candidate adalimumab biosimilar, and adalimumab reference product (Humira®) in the treatment of active rheumatoid arthritis.

Arthritis Res Ther. 2018-8-15

[8]
A randomized study comparing the pharmacokinetics of the potential biosimilar PF-06438179/GP1111 with Remicade® (infliximab) in healthy subjects (REFLECTIONS B537-01).

Expert Rev Clin Immunol. 2018-3-12

[9]
A randomized phase I comparative pharmacokinetic study comparing SB5 with reference adalimumab in healthy volunteers.

J Clin Pharm Ther. 2017-12

[10]
Immunogenicity of Therapeutic Antibodies: Monitoring Antidrug Antibodies in a Clinical Context.

Ther Drug Monit. 2017-8

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