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Bio-layer Interferometry for Measuring Kinetics of Protein-protein Interactions and Allosteric Ligand Effects
Published on: February 18, 2014
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Protein-based matrix interferences in ligand-binding assays
Boris Gorovits1, Jim McNally, Corinna Fiorotti
1Pfizer, 235 E 42nd St, NY 10017, USA.
Bioanalysis
|May 17, 2014
Summary
Ligand-binding assays are crucial for biotherapeutic drug development but face matrix interferences. This review discusses common interferences and mitigation strategies for accurate bioanalysis.
Area of Science:
- Biopharmaceutical Analysis
- Immunology
- Analytical Chemistry
Background:
- Biotherapeutic drug development necessitates robust bioanalytical methods.
- Ligand-binding assays are the primary platform for quantifying biotherapeutics and assessing immune responses.
- Biological matrices are complex and can interfere with assay accuracy.
Purpose of the Study:
- To review common matrix interferences in ligand-binding assays for biotherapeutics.
- To discuss the impact of various biological matrix components on assay results.
- To present practical strategies for mitigating matrix effects in bioanalysis.
Main Methods:
- Review of existing literature on bioanalytical methods for biotherapeutics.
- Analysis of common interfering factors in biological samples, such as rheumatoid factors and heterophilic antibodies.
- Discussion of techniques to minimize interference in ligand-binding assays.
Main Results:
- Matrix components like rheumatoid factors, heterophilic antibodies, and human anti-animal antibodies can cause significant interferences.
- These interferences can lead to inaccurate quantification of drug concentrations and immune responses.
- Various strategies exist to mitigate these interferences, improving assay reliability.
Conclusions:
- Understanding and addressing matrix interferences are critical for the successful bioanalysis of biotherapeutics.
- Effective mitigation strategies enhance the accuracy and reliability of ligand-binding assay results.
- This review provides valuable insights for optimizing bioanalytical support in biotherapeutic development.
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