Novel microarrays for simultaneous serodiagnosis of multiple antiviral antibodies

Ponnurengam Malliappan Sivakumar1, Nozomi Moritsugu1, Sei Obuse1

  • 1Nano Medical Engineering Laboratory, RIKEN, Wako, Saitama, Japan.

Plos One
|December 25, 2013
PubMed

Insights

We created an automated microarray diagnostic system for detecting virus-specific immunoglobulin Gs (IgGs). This rapid, reagent-efficient system shows high correlation with conventional enzyme immunoassays (EIAs) for viral disease diagnosis.

Area of Science:

  • Immunology
  • Biotechnology
  • Medical Diagnostics

Background:

  • Accurate and efficient detection of virus-specific immunoglobulin Gs (IgGs) is crucial for diagnosing viral diseases.
  • Conventional enzyme immunoassays (EIAs) are widely used but can be time-consuming and reagent-intensive.

Purpose of the Study:

  • To develop and evaluate an automated microarray-based diagnostic system for detecting virus-specific IgGs.
  • To compare the efficacy of the automated microarray system with conventional EIAs.

Main Methods:

  • Developed a microarray platform using a novel photoreactive polymer (perfluorophenyl azide and poly(ethylene glycol) methacrylate) for virus immobilization.
  • Utilized photo-irradiation to immobilize inactivated measles, rubella, mumps, Varicella-Zoster, and Epstein-Barr virus antigens onto microarrays.
  • Assayed virus-specific IgGs in human sera using the microarrays and compared results with conventional EIAs.

Main Results:

  • The automated microarray system demonstrated high correlation (0.79-0.96) with conventional EIAs.
  • The microarray assay was faster, required fewer reagents and less sample volume, and was simpler to perform than EIAs.
  • Incorporation of reagent storage reservoirs further optimized the system, conserving expensive reagents and antibodies.

Conclusions:

  • The automated microarray system is a suitable platform for rapid, multiplexed serological diagnosis of viral infections.
  • The system offers significant advantages over conventional EIAs in terms of speed, efficiency, and ease of use.
  • Further development holds promise for clinical applications in viral disease diagnostics.

Related Concept Videos