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Updated: Sep 9, 2025
In Vitro ELISA Test to Evaluate Rabies Vaccine Potency
Published on: May 11, 2020
Observed reduction in false measles IgM positivity using an ELISA kit containing RF absorbent
Berksan Simsek1, Buket Toksoy Cakici2
1Department of Medical Microbiology Laboratory, Istanbul Provincial Health Directorate Taksim Training and Research Hospital, Istanbul, Türkiye.
Abstract:
This study evaluated whether an Rheumatoid Factor RF-absorbent ELISA assay reduces false-positive measles IgM results in low-prevalence settings. Among 76 initially reactive samples, only 7 remained positive or borderline upon retesting, demonstrating a 91 % reduction. These findings support the use of RF-blocking diagnostics to improve test specificity and surveillance accuracy.
Insights
A Rheumatoid Factor (RF) absorbent ELISA assay significantly improved measles IgM test specificity. This diagnostic tool reduced false positives by 91%, enhancing accuracy for measles surveillance in low-prevalence areas.
Area of Science:
- Immunology
- Infectious Disease Diagnostics
- Epidemiology
Background:
- Measles IgM ELISA assays can yield false-positive results, particularly in low-prevalence settings.
- High false-positive rates compromise the accuracy of measles surveillance and outbreak investigations.
Purpose of the Study:
- To evaluate the efficacy of a Rheumatoid Factor (RF)-absorbent ELISA assay in reducing false-positive measles IgM results.
- To assess the impact of RF-blocking on diagnostic specificity in measles surveillance.
Main Methods:
- Retesting of initially reactive measles IgM samples using an RF-absorbent ELISA assay.
- Quantification of the reduction in positive or borderline results after RF absorption.
Main Results:
- Out of 76 initially reactive samples, only 7 remained positive or borderline after RF absorption.
- A 91% reduction in false-positive measles IgM results was observed.
Conclusions:
- RF-absorbent ELISA assays are effective in improving the specificity of measles IgM testing.
- Implementing RF-blocking diagnostics enhances the accuracy of measles surveillance, especially in low-prevalence populations.
