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HPPA as assay substrate for improved capturing of sample variability during cut point analyses in immunogenicity
Gregor Jordan1, Alexander Pöhler1, Cordula Jany1
1Roche Pharma Research & Early Development (pRED), Pharmaceutical Sciences, Bioanalysis & Biomarkers, Roche Innovation Center Munich, Roche Diagnostics GmbH, Penzberg, Germany.
Switching from ABTS to HPPA substrate in anti-drug antibody (ADA) bridging assays enhances signal differentiation and increases screening and confirmatory cut points (SCP and CCP). This substrate change improves the detection of individual sample variability in protein drug development.
Area of Science:
- Biochemistry
- Immunology
- Pharmaceutical Science
Background:
- Immunogenicity testing is crucial for protein drug development.
- Anti-drug antibody (ADA) bridging assays are the gold standard for this testing.
- Assay substrates are critical for generating detectable signals and differentiating specific antibody binding from noise.
Purpose of the Study:
- To investigate the impact of substrate choice on ADA bridging assay performance.
- To evaluate how different substrates affect the capture of individual sample variability.
- To determine the influence of substrate on screening and confirmatory cut points (SCP and CCP).
Main Methods:
- Comparison of colorimetric (ABTS) and fluorescent (HPPA) substrates in ELISA-based ADA bridging assays.
- Assays were performed for two monoclonal antibodies.
- Analysis focused on signal differentiation, sample variability, and cut point values.
Main Results:
- The fluorescent HPPA substrate improved the differentiation of individual signals from baseline noise compared to the colorimetric ABTS substrate.
- Using HPPA led to higher SCP and CCP values, indicating a more robust assay.
- Technical reader noise impacted normally distributed samples when using the ABTS substrate.
Conclusions:
- Switching to the HPPA substrate is a convenient method to increase SCP and CCP in ADA bridging assays.
- The HPPA substrate enhances the assay's ability to capture individual sample variability.
- This substrate optimization improves the reliability of ADA identification in protein drug development.
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