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High-throughput Detection Method for Influenza Virus
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An improved method for estimating antibody titers in microneutralization assay using green fluorescent protein
Hongmei Yang1, Steven F Baker2, Mario E González2
1a Department of Biostatistics and Computational Biology , University of Rochester Medical Center , Rochester , New York , USA.
Journal of Biopharmaceutical Statistics
|May 27, 2015
Summary
A new method for analyzing reporter virus assays improves antibody titer estimation. This biologically meaningful model offers a more reliable approach than traditional methods, even with variable data, enhancing viral neutralization assessments.
Area of Science:
- Virology
- Immunology
- Biotechnology
Background:
- Reporter viruses expressing reporter genes are used to assess neutralizing antibody responses.
- Traditional methods for antibody titer estimation from these assays can be unreliable due to irregular data and non-fitting neutralization curves.
Purpose of the Study:
- To develop a novel, biologically meaningful outcomes model for reporter virus assays.
- To improve the reliability of antibody titer estimation, especially with variable assay data.
Main Methods:
- Development of a new outcomes model for reporter virus assay data.
- Simulation studies to compare the new model with traditional percent neutralization models.
Main Results:
- The new outcomes model fits typical immunoassay curves effectively.
- Simulation results demonstrate that the new response approach outperforms the traditional approach across different data variability levels.
Conclusions:
- The developed outcomes model provides a more robust and biologically relevant method for antibody titer estimation.
- This new approach enhances the reliability of automated and semi-high throughput antibody titer estimation in viral neutralization assays and can be adapted for other disease models.
