Related Experiment Video
Updated: May 7, 2026

A Multiplex Serological Assay for the Detection of Antibody Responses to Arboviruses
Published on: November 4, 2025
Multiplex microsphere immunoassays for the detection of IgM and IgG to arboviral diseases
Alison J Basile1, Kalanthe Horiuchi, Amanda J Panella
1Division of Vector-Borne Diseases, Centers for Disease Control, Fort Collins, Colorado, United States of America.
Abstract:
Serodiagnosis of arthropod-borne viruses (arboviruses) at the Division of Vector-Borne Diseases, CDC, employs a combination of individual enzyme-linked immunosorbent assays and microsphere immunoassays (MIAs) to test for IgM and IgG, followed by confirmatory plaque-reduction neutralization tests. Based upon the geographic origin of a sample, it may be tested concurrently for multiple arboviruses, which can be a cumbersome task. The advent of multiplexing represents an opportunity to streamline these types of assays; however, because serologic cross-reactivity of the arboviral antigens often confounds results, it is of interest to employ data analysis methods that address this issue. Here, we constructed 13-virus multiplexed IgM and IgG MIAs that included internal and external controls, based upon the Luminex platform. Results from samples tested using these methods were analyzed using 8 different statistical schemes to identify the best way to classify the data. Geographic batteries were also devised to serve as a more practical diagnostic format, and further samples were tested using the abbreviated multiplexes. Comparative error rates for the classification schemes identified a specific boosting method based on logistic regression "Logitboost" as the classification method of choice. When the data from all samples tested were combined into one set, error rates from the multiplex IgM and IgG MIAs were <5% for all geographic batteries. This work represents both the most comprehensive, validated multiplexing method for arboviruses to date, and also the most systematic attempt to determine the most useful classification method for use with these types of serologic tests.
Insights
Multiplex assays streamline testing for arthropod-borne viruses (arboviruses). A novel approach using Luminex microsphere immunoassays (MIAs) and logistic regression achieved high accuracy for serodiagnosis.
Area of Science:
- Medical Entomology
- Immunology
- Computational Biology
Background:
- Serodiagnosis of arboviruses is complex, often requiring multiple assays.
- Current methods can be cumbersome due to geographic variations and cross-reactivity.
Purpose of the Study:
- To develop and validate a multiplexed assay for simultaneous detection of multiple arboviruses.
- To identify the optimal statistical method for analyzing multiplex assay data and addressing cross-reactivity.
Main Methods:
- Constructed 13-virus multiplexed IgM and IgG microsphere immunoassays (MIAs) on the Luminex platform.
- Analyzed results using 8 statistical classification schemes, including logistic regression (Logitboost).
- Devised and tested geographic batteries for practical diagnostic application.
Main Results:
- Logitboost emerged as the most effective classification method, minimizing error rates.
- Multiplex IgM and IgG MIAs achieved <5% error rates across all geographic batteries when data was combined.
- The developed multiplexing method is comprehensive and validated for arboviral serodiagnosis.
Conclusions:
- Multiplex MIAs combined with Logitboost offer a streamlined and accurate approach to arboviral serodiagnosis.
- This study provides a systematic framework for classifying multiplex serologic test data.
- The validated multiplexing method enhances diagnostic efficiency for vector-borne diseases.

