Performance assessment of SARS-CoV-2 IgM & IgG ELISAs in comparison with plaque reduction neutralization test

Ruta Kulkarni1, Shubham Shrivastava1, Harshad P Patil1

  • 1Departments of Communicable Diseases, Interactive Research School for Health Affairs, Bharati Vidyapeeth Medical College, Pune, Maharashtra, India.

Insights

Performance of SARS-CoV-2 IgM and IgG ELISAs was assessed. Inbios-IgM-ELISA showed high sensitivity and specificity for COVID-19 diagnosis, while IgG tests are suitable for assessing past virus exposure in serosurveys.

Area of Science:

  • Immunology
  • Virology
  • Epidemiology

Background:

  • The COVID-19 pandemic, caused by SARS-CoV-2, necessitates reliable diagnostic and serologic tools.
  • Performance assessment of IgM and IgG ELISAs is crucial for patient management and understanding viral spread.

Purpose of the Study:

  • To evaluate the diagnostic performance of commercial SARS-CoV-2 IgM and IgG ELISAs.
  • To determine the utility of these ELISAs for patient diagnosis and sero-epidemiologic investigations.

Main Methods:

  • Serum/plasma samples from 180 COVID-19 patients and 90 healthy donors were tested.
  • Two IgM ELISAs and four IgG ELISAs were compared against the plaque reduction neutralization test (PRNT).
  • An indigenous inactivated virus-based ELISA (IRSHA-IgG-ELISA) was also evaluated.

Main Results:

  • Inbios-IgM-ELISA demonstrated high sensitivity (93.6%) and specificity (97.8%) relative to PRNT, improving detection after two weeks of illness.
  • Among IgG ELISAs, Inbios-IgG-ELISA showed the highest sensitivity (83.2%), with all IgG tests exhibiting high specificity and suitability for serosurveys.
  • Sensitivity for both IgM and IgG assays improved over time post-infection.

Conclusions:

  • SARS-CoV-2 IgM ELISAs can supplement molecular diagnosis but do not replace it.
  • Available SARS-CoV-2 IgG ELISAs are appropriate for serosurveys to assess previous infection exposure.
  • Accurate serologic testing is vital for tracking pandemic dynamics and immunity.
Abstract