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Dimeric IgA is a specific biomarker of recent SARS-CoV-2 infection
Heidi E Drummer; Huy Van; Ethan Klock; Shuning Zheng; Zihui Wei; Irene Boo; Rob J Center; Fan Li; Purnima Bhat; Rosemary Ffrench; Jillian S.Y. Lau; James McMahon; Oliver Laeyendecker; Reinaldo E Fernandez; Yukari C Manabe; Sabra L Klein; Thomas C Quinn; David A Anderson.
Affiliation
  • Heidi E Drummer; Burnet Institute
  • Huy Van; Burnet Institute
  • Ethan Klock; JHU
  • Shuning Zheng; Burnet Institute
  • Zihui Wei; Burnet Institute
  • Irene Boo; Burnet Institute
  • Rob J Center; Burnet Institute
  • Fan Li; Burnet Institute
  • Purnima Bhat; Australian National University
  • Rosemary Ffrench; National Serology Reference Laboratory
  • Jillian S.Y. Lau; Monash University
  • James McMahon; Monash University
  • Oliver Laeyendecker; NIAID & JHMI
  • Reinaldo E Fernandez; JHU
  • Yukari C Manabe; Johns Hopkins University School of Medicine
  • Sabra L Klein; Johns Hopkins Bloomberg School of Public Health
  • Thomas C Quinn; Johns Hopkins University School of Medicine
  • David A Anderson; Burnet Institute
Preprint in En | PREPRINT-MEDRXIV | ID: ppmedrxiv-21259671
ABSTRACT
Current tests for SARS-CoV-2 antibodies (IgG, IgM, IgA) cannot differentiate recent and past infections. We describe a point of care, lateral flow assay for SARS-CoV-2 dIgA based on the highly selective binding of dIgA to a chimeric form of secretory component (CSC), that distinguishes dIgA from monomeric IgA. Detection of specific dIgA uses a complex of biotinylated SARS-CoV-2 receptor binding domain and streptavidin-colloidal gold. SARS-CoV-2-specific dIgA was measured both in 112 cross-sectional samples and a longitudinal panel of 362 plasma samples from 45 patients with PCR-confirmed SARS-CoV-2 infection, and 193 discrete pre-COVID-19 or PCR-negative patient samples. The assay demonstrated 100% sensitivity from 11 days post-symptom onset, and a specificity of 98.2%. With an estimated half-life of 6.3 days, dIgA provides a unique biomarker for the detection of recent SARS-CoV-2 infections with potential to enhance diagnosis and management of COVID-19 at point-of-care.
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Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Rct Language: En Year: 2021 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Rct Language: En Year: 2021 Document type: Preprint