1. SARS-CoV-2 multi-antigen protein microarray for detailed characterization of antibody responses in COVID-19 patients.
- Author
-
Celikgil A, Massimi AB, Nakouzi A, Herrera NG, Morano NC, Lee JH, Yoon HA, Garforth SJ, and Almo SC
- Subjects
- Humans, Antibodies, Neutralizing genetics, Antibodies, Neutralizing immunology, Antibodies, Viral genetics, Antibodies, Viral immunology, Antibody Formation genetics, Antibody Formation immunology, Immunoglobulin G, Protein Array Analysis, Spike Glycoprotein, Coronavirus, COVID-19 genetics, COVID-19 immunology, COVID-19 virology, SARS-CoV-2 genetics
- Abstract
Antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) target multiple epitopes on different domains of the spike protein, and other SARS-CoV-2 proteins. We developed a SARS-CoV-2 multi-antigen protein microarray with the nucleocapsid, spike and its domains (S1, S2), and variants with single (D614G, E484K, N501Y) or double substitutions (N501Y/Deletion69/70), allowing a more detailed high-throughput analysis of the antibody repertoire following infection. The assay was demonstrated to be reliable and comparable to ELISA. We analyzed antibodies from 18 COVID-19 patients and 12 recovered convalescent donors. The S IgG level was higher than N IgG in most of the COVID-19 patients, and the receptor-binding domain of S1 showed high reactivity, but no antibodies were detected against the heptad repeat domain 2 of S2. Furthermore, antibodies were detected against S variants with single and double substitutions in COVID-19 patients who were infected with SARS-CoV-2 early in the pandemic. Here we demonstrated that the SARS-CoV-2 multi-antigen protein microarray is a powerful tool for detailed characterization of antibody responses, with potential utility in understanding the disease progress and assessing current vaccines and therapies against evolving SARS-CoV-2., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Celikgil et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
- Published
- 2023
- Full Text
- View/download PDF