Skip to main navigation Skip to search Skip to main content

Quantitative sars-cov-2 spike antibody response in covid-19 patients using three fully automated immunoassays and a surrogate virus neutralization test

  • Yoonjoo Kim
  • , Ji Hyun Lee
  • , Geon Young Ko
  • , Ji Hyeong Ryu
  • , Joo Hee Jang
  • , Hyunjoo Bae
  • , Seung Hyo Yoo
  • , Ae Ran Choi
  • , Jin Jung
  • , Jongmin Lee
  • , Eun Jee Oh
  • Catholic Univ. of Korea Coll. Med.
  • The Catholic University of Korea

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

Quantitative SARS-CoV-2 antibody assays against the spike (S) protein are useful for monitoring immune response after infection or vaccination. We compared the results of three chemi-luminescent immunoassays (CLIAs) (Abbott, Roche, Siemens) and a surrogate virus neutralization test (sVNT, GenScript) using 191 sequential samples from 32 COVID-19 patients. All assays detected >90% of samples collected 14 days after symptom onset (Abbott 97.4%, Roche 96.2%, Siemens 92.3%, and GenScript 96.2%), and overall agreement among the four assays was 91.1% to 96.3%. When we assessed time-course antibody levels, the Abbott and Siemens assays showed higher levels in patients with severe disease (p < 0.05). Antibody levels from the three CLIAs were correlated (r = 0.763–0.885). However, Passing–Bablok regression analysis showed significant proportional differences between assays and converting results to binding antibody units (BAU)/mL still showed substantial bias. CLIAs had good performance in predicting sVNT positivity (Area Under the Curve (AUC), 0.959–0.987), with Abbott having the highest AUC value (p < 0.05). SARS-CoV-2 S protein antibody levels as assessed by the CLIAs were not interchangeable, but showed reliable performance for predicting sVNT results. Further standardization and harmonization of immunoassays might be helpful in monitoring immune status after COVID-19 infection or vaccination.

Original languageEnglish
Article number1496
JournalDiagnostics
Volume11
Issue number8
DOIs
StatePublished - Aug 2021

Bibliographical note

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Binding antibody units
  • Chemiluminescent immunoassay
  • Neutralizing antibody
  • Quantita-tion
  • SARS-CoV-2 antibody

Fingerprint

Dive into the research topics of 'Quantitative sars-cov-2 spike antibody response in covid-19 patients using three fully automated immunoassays and a surrogate virus neutralization test'. Together they form a unique fingerprint.

Cite this