A novel highly quantitative and reproducible assay for the detection of anti-SARS-CoV-2 IgG and IgM antibodies

Author:

Noda Kenta,Matsuda Kouki,Yagishita Shigehiro,Maeda Kenji,Akiyama Yutaro,Terada-Hirashima Junko,Matsushita Hiromichi,Iwata Satoshi,Yamashita Kazuto,Atarashi Yusuke,Watanabe Shunsuke,Ide Nobuyuki,Yoshida Tomokazu,Ohmagari Norio,Mitsuya Hiroaki,Hamada Akinobu

Abstract

AbstractThe quantitative range and reproducibility of current serological tests for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) are not optimized. Herein, we developed a diagnostic test that detects SARS-CoV-2 IgG and IgM with high quantitativeness and reproducibility and low interference. The system was based on the high-sensitivity chemiluminescence enzyme immunoassay (HISCL) platform and detects IgG and IgM specific to SARS-CoV-2 spike and nucleocapsid proteins. Quantification accuracy and reproducibility were evaluated using serially diluted samples from 60 SARS-CoV-2-infected patients. Assay performance was evaluated using serum samples from the SARS-CoV-2-infected patients and 500 SARS-CoV-2-negative serum samples collected before the emergence of SARS-CoV-2. The system showed high quantification accuracy (range, 102), high reproducibility (within 5%), and no cross-reaction between SARS1- and MERS-S proteins. Detection accuracy was 98.3% and 93.3% for IgG and IgM against spike proteins and 100% and 71.7% for IgG and IgM against nucleocapsid proteins, respectively. Mean antibody levels were > 10 times that in negative samples upon admission and > 100 times that at convalescent periods. Clinical severity upon admission was not correlated with IgG or IgM levels. This highly quantitative, reproducible assay system with high clinical performance may help analyze temporal serological/immunological profiles of SARS-CoV-2 infection and SARS-CoV-2 vaccine effectiveness.

Funder

Japan Agency for Medical Research and Development

Japan Health Research Promotion Bureau Research Fund

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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