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Validation of a new automated chemiluminescent anti-SARS-CoV-2 IgM and IgG antibody assay system detecting both N and S proteins in Japan.
Yokoyama, Rin; Kurano, Makoto; Morita, Yoshifumi; Shimura, Takuya; Nakano, Yuki; Qian, Chungen; Xia, Fuzhen; He, Fan; Kishi, Yoshiro; Okada, Jun; Yoshikawa, Naoyuki; Nagura, Yutaka; Okazaki, Hitoshi; Moriya, Kyoji; Seto, Yasuyuki; Kodama, Tatsuhiko; Yatomi, Yutaka.
  • Yokoyama R; Department of Clinical Laboratory, The University of Tokyo Hospital, Tokyo, Japan.
  • Kurano M; Department of Clinical Laboratory, The University of Tokyo Hospital, Tokyo, Japan.
  • Morita Y; Department of Clinical Laboratory Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Shimura T; Department of Clinical Laboratory, The University of Tokyo Hospital, Tokyo, Japan.
  • Nakano Y; Department of Clinical Laboratory, The University of Tokyo Hospital, Tokyo, Japan.
  • Qian C; Department of Clinical Laboratory, The University of Tokyo Hospital, Tokyo, Japan.
  • Xia F; The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Tec
  • He F; Reagent R&D Center, Shenzhen YHLO Biotech Co., Ltd, Guangdong, P. R. China.
  • Kishi Y; Reagent R&D Center, Shenzhen YHLO Biotech Co., Ltd, Guangdong, P. R. China.
  • Okada J; Business Planning Department, Sales & Marketing Division, Medical & Biological Laboratories Co., Ltd, Tokyo, Japan.
  • Yoshikawa N; Business Planning Department, Sales & Marketing Division, Medical & Biological Laboratories Co., Ltd, Tokyo, Japan.
  • Nagura Y; Department of Clinical Laboratory, The University of Tokyo Hospital, Tokyo, Japan.
  • Okazaki H; Department of Blood Transfusion, The University of Tokyo Hospital, Tokyo, Japan.
  • Moriya K; Department of Blood Transfusion, The University of Tokyo Hospital, Tokyo, Japan.
  • Seto Y; Department of Infection Control and Prevention, The University of Tokyo, Tokyo, Japan.
  • Kodama T; Department of Gastrointestinal Surgery, The University of Tokyo, Tokyo, Japan.
  • Yatomi Y; Laboratory for Systems Biology and Medicine, The University of Tokyo, Tokyo, Japan.
PLoS One ; 16(3): e0247711, 2021.
Article in English | MEDLINE | ID: covidwho-1117485
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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ABSTRACT
PCR methods are presently the standard for the diagnosis of Coronavirus disease 2019 (COVID-19), but additional methodologies are needed to complement PCR methods, which have some limitations. Here, we validated and investigated the usefulness of measuring serum antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using the iFlash3000 CLIA analyzer. We measured IgM and IgG titers against SARS-CoV-2 in sera collected from 26 PCR-positive COVID-19 patients, 53 COVID-19-suspected but PCR-negative patients, and 20 and 100 randomly selected non-COVID-19 patients who visited our hospital in 2020 and 2017, respectively. The repeatability and within-laboratory precision were obviously good in validations, following to the CLSI document EP15-A3. Linearity was also considered good between 0.6 AU/mL and 112.7 AU/mL for SARS-CoV-2 IgM and between 3.2 AU/mL and 55.3 AU/mL for SARS-CoV-2 IgG, while the linearity curves plateaued above the upper measurement range. We also confirmed that the seroconversion and no-antibody titers were over the cutoff values in all 100 serum samples collected in 2017. These results indicate that this measurement system successfully detects SARS-CoV-2 IgM/IgG. We observed four false-positive cases in the IgM assay and no false-positive cases in the IgG assay when 111 serum samples known to contain autoantibodies were evaluated. The concordance rates of the antibody test with the PCR test were 98.1% for SARS-CoV-2 IgM and 100% for IgG among PCR-negative cases and 30.8% for SARS-CoV-2 IgM and 73.1% for SARS-CoV-2 IgG among PCR-positive cases. In conclusion, the performance of this new automated method for detecting antibody against both N and S proteins of SARS-CoV-2 is sufficient for use in laboratory testing.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Immunoglobulin G / Immunoglobulin M / COVID-19 Serological Testing / SARS-CoV-2 / COVID-19 / Antibodies, Viral Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: Asia Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0247711

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Immunoglobulin G / Immunoglobulin M / COVID-19 Serological Testing / SARS-CoV-2 / COVID-19 / Antibodies, Viral Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: Asia Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0247711