Article ; Online: Performance of a flow cytometry-based immunoassay for detection of antibodies binding to SARS-CoV-2 spike protein.
2022 Volume 12, Issue 1, Page(s) 586
Abstract: The performance of a laboratory-developed IgG/IgA flow cytometry-based immunoassay (FCI) using Jurkat T cells stably expressing full-length native S protein was compared against Elecsys electrochemiluminiscent (ECLIA) Anti-SARS-CoV-2 S (Roche Diagnostics, ...
| Abstract | The performance of a laboratory-developed IgG/IgA flow cytometry-based immunoassay (FCI) using Jurkat T cells stably expressing full-length native S protein was compared against Elecsys electrochemiluminiscent (ECLIA) Anti-SARS-CoV-2 S (Roche Diagnostics, Pleasanton, CA, USA), and Liaison SARS-CoV-2 TrimericS IgG chemiluminiscent assay (CLIA) (Diasorin S.p.a, Saluggia, IT) for detection of SARS-CoV-2-specific antibodies. A total of 225 serum/plasma specimens from 120 acute or convalescent COVID-19 individuals were included. Overall, IgG/IgA-FCI yielded the highest number of positives (n = 179), followed by IgA-FCI (n = 177), Roche ECLIA (n = 175), IgG-FCI (n = 172) and Diasorin CLIA (n = 154). For sera collected early after the onset of symptoms (within 15 days) IgG/IgA-FCI also returned the highest number of positive results (52/72; 72.2%). Positive percent agreement between FCI and compared immunoassays was highest for Roche ECLIA, ranging from 96.1 (IgG/IgA-FCI) to 97.7% (IgG-FCI), whereas negative percent agreement was higher between FCI and Diasosin CLIA, regardless of antibody isotype. The data suggest that FCI may outperform Roche ECLIA and Diasorin CLIA in terms of clinical sensitivity for serological diagnosis of SARS-CoV-2 infection. |
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| MeSH term(s) | Antibodies, Viral/blood ; Antibodies, Viral/immunology ; COVID-19 Serological Testing ; Flow Cytometry/methods ; Humans ; Immunoassay/methods ; Jurkat Cells ; Retrospective Studies ; SARS-CoV-2/immunology ; Sensitivity and Specificity ; Spike Glycoprotein, Coronavirus/immunology |
| Chemical Substances | Antibodies, Viral ; Spike Glycoprotein, Coronavirus ; spike protein, SARS-CoV-2 |
| Language | English |
| Publishing date | 2022-01-12 |
| Publishing country | England |
| Document type | Evaluation Study ; Journal Article ; Research Support, Non-U.S. Gov't |
| ZDB-ID | 2615211-3 |
| ISSN | 2045-2322 ; 2045-2322 |
| ISSN (online) | 2045-2322 |
| ISSN | 2045-2322 |
| DOI | 10.1038/s41598-021-04565-1 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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