Development of an Automated Chemiluminescence Assay System for Quantitative Measurement of Multiple Anti-SARS-CoV-2 Antibodies
Overview
Authors
Affiliations
Objectives: Serological tests for COVID-19 have been instrumental in studying the epidemiology of the disease. However, the performance of the currently available tests is plagued by the problem of variability. We have developed a high-throughput serological test capable of simultaneously detecting total immunoglobulins (Ig) and immunoglobulin G (IgG) against nucleocapsid protein (NP) and spike protein (SP) and report its performance in detecting COVID-19 in clinical samples.
Methods: We designed and prepared reagents for measuring NP-IgG, NP-Total Ig, SP-IgG, and SP-Total Ig (using N-terminally truncated NP (ΔN-NP) or receptor-binding domain (RBD) antigen) dedicated automated chemiluminescent enzyme immunoassay analyzer AIA-CL1200. After determining the basal thresholds based on 17 sera obtained from confirmed COVID-19 patients and 600 negative sera, the clinical validity of the assay was evaluated using independent 202 positive samples and 1,000 negative samples from healthy donors.
Results: All of the four test parameters showed 100% specificity individually (1,000/1,000; 95%CI, 99.63-100). The sensitivity of the assay increased proportionally to the elapsed time from symptoms onset, and all the tests achieved 100% sensitivity (153/153; 95%CI, 97.63-100) after 13 days from symptoms onset. NP-Total Ig was the earliest to attain maximal sensitivity among the other antibodies tested.
Conclusion: Our newly developed serological testing exhibited 100% sensitivity and specificity after 13 days from symptoms onset. Hence, it could be used as a reliable method for accurate detection of COVID-19 patients and to evaluate seroprevalence and possibly for surrogate assessment of herd immunity.
Yamamichi G, Kato T, Arakawa N, Ino Y, Ujike T, Nakano K Biomark Res. 2024; 12(1):147.
PMID: 39587633 PMC: 11590406. DOI: 10.1186/s40364-024-00695-6.
Wang L, Li D, Zeng D, Wang S, Wu J, Liu Y Microbiol Spectr. 2024; 12(10):e0080924.
PMID: 39145655 PMC: 11448198. DOI: 10.1128/spectrum.00809-24.
Liang Z, Lu X, Jiao X, He Y, Meng B, Xie J Mikrochim Acta. 2023; 190(10):417.
PMID: 37768390 DOI: 10.1007/s00604-023-06004-6.
Goto A, Miyakawa K, Nakayama I, Yagome S, Xu J, Kaneko M Front Microbiol. 2023; 14:1126527.
PMID: 37113226 PMC: 10126441. DOI: 10.3389/fmicb.2023.1126527.
Tanaka H, Mukai J, Kushibiki K, Mizushima S, Maeda K, Fujimoto Y Vaccine. 2022; 41(2):365-371.
PMID: 36460533 PMC: 9684125. DOI: 10.1016/j.vaccine.2022.11.049.