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Key elements of bioanalytical method validation for macromolecules.

Marian Kelley1, Binodh DeSilva

  • 1Centocor R&D Inc, Radnor, PA, USA.

The AAPS Journal
|July 7, 2007
PubMed
Summary
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This workshop focused on best practices for bioanalytical assays in drug development. It addressed challenges in validating macromolecular therapeutics using ligand binding assays and statistical approaches for acceptance criteria.

Area of Science:

  • Pharmaceutical Science
  • Bioanalytical Chemistry
  • Drug Development

Background:

  • Technological advancements and statistical understanding have led to varied interpretations of FDA guidance for macromolecular therapeutics.
  • The Third American Association of Pharmaceutical Scientists/US Food and Drug Administration (FDA) Bioanalytical Workshop convened to address these challenges.

Purpose of the Study:

  • To discuss best practices for bioanalytical assays used in quantifying therapeutic candidates for pharmacokinetic evaluations.
  • To clarify and understand the practicality of current FDA guidance for assaying macromolecular therapeutics.
  • To explore essential elements for validating macromolecular therapeutics using ligand binding assays.

Main Methods:

  • Discussion of best practices in bioanalysis applicable to therapeutic candidates of all sizes.

Related Experiment Videos

  • Exploration of statistical approaches for interpreting acceptance criteria in bioanalytical assays.
  • Consideration of prestudy validation and in-study validation (sample analysis) processes.

    • Main Results:

    • Key elements for validating macromolecular therapeutics via ligand binding assays were addressed.
    • Statistical approaches, including total error criterion and confidence intervals, were discussed for assay acceptance.
    • The use of anchor calibrators for fitting nonlinear regression models was examined.

    Conclusions:

    • Ligand binding assays for macromolecular therapeutics require robust validation strategies.
    • Statistical methods are crucial for interpreting acceptance criteria and ensuring assay reliability.
    • Standardized best practices are essential for consistent and accurate bioanalysis in drug development.