AI Article Synopsis

  • Researchers face challenges in interpreting immunogenicity results and predicting clinical outcomes for monoclonal antibody (mAb) products, despite advancements in methodologies.
  • The contribution from clinical pharmacology has mainly involved comparing pharmacokinetic profiles based on the presence of antidrug antibodies (ADA) and evaluating ADA as a factor in drug behavior, similar to small-molecule drugs.
  • A new framework that analyzes mAb disposition, focusing on ADA formation and interactions, was developed and tested using data from a phase 3 trial of adalimumab, showing potential for improved understanding and predictions for drug effectiveness and dosing strategies.

Article 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.

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Source
http://dx.doi.org/10.1208/s12248-024-00901-1DOI Listing

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