Validation parameters for a novel biosensor assay which simultaneously measures serum concentrations of a humanized

R L Wong1, D Mytych, S Jacobs

  • 1Schering-Plough Research Institute, MS K-15 / 2700, Kenilworth, NJ 07033, USA.

Insights

This study validates a BIAcore assay for quantifying humanized monoclonal antibodies in mouse serum. The assay also detects and characterizes anti-drug antibodies, requiring minimal sample volume and offering automation.

Area of Science:

  • Biotechnology
  • Immunology
  • Assay Development

Background:

  • Biosensor assays are crucial for drug development and characterization.
  • Quantifying monoclonal antibodies and detecting anti-drug antibodies in preclinical studies is essential.
  • Existing methods may require large sample volumes or lack automation.

Purpose of the Study:

  • To validate a novel BIAcore assay for simultaneous quantitation of humanized monoclonal antibodies and detection of anti-drug antibodies in mouse serum.
  • To assess key assay validation parameters including precision, accuracy, linearity, stability, specificity, and sensitivity.
  • To demonstrate the assay's utility with small sample volumes and its automation capabilities.

Main Methods:

  • A tandem assay format using a BIAcore 2000 instrument was developed.
  • Flowcells were sequentially coated with the target antigen and the humanized monoclonal antibody (mAb).
  • Mouse serum samples were analyzed for mAb quantitation and anti-mAb antibody detection.

Main Results:

  • The assay accurately quantifies humanized mAb in mouse serum with a limit of quantitation of 1 microg/ml.
  • The assay successfully detects and characterizes anti-humanized mAb antibodies by isotype.
  • The assay requires only 10 microliters of serum and is amenable to automation.

Conclusions:

  • The validated BIAcore assay provides a precise, accurate, and sensitive method for analyzing humanized monoclonal antibodies and anti-drug antibodies in mouse serum.
  • The assay's small sample requirement and automation capability offer significant advantages for preclinical research.
  • This method facilitates individual sample analysis, reducing the need for pooled samples.

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