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.

Plos One
|October 3, 2013
PubMed

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.

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