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WeightNameValue
1000 Titel
  • Validation of a new automated chemiluminescent anti-SARS-CoV-2 IgM and IgG antibody assay system detecting both N and S proteins in Japan
1000 Autor/in
  1. Yokoyama, Rin |
  2. Kurano, Makoto |
  3. Morita, Yoshifumi |
  4. Shimura, Takuya |
  5. Nakano, Yuki |
  6. Qian, Chungen |
  7. Xia, Fuzhen |
  8. He, Fan |
  9. Kishi, Yoshiro |
  10. Okada, Jun |
  11. Yoshikawa, Naoyuki |
  12. Nagura, Yutaka |
  13. Okazaki, Hitoshi |
  14. Moriya, Kyoji |
  15. Seto, Yasuyuki |
  16. Kodama, Tatsuhiko |
  17. Yatomi, Yutaka |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-03-04
1000 Erschienen in
1000 Quellenangabe
  • 16(3):e0247711
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1371/journal.pone.0247711 |
1000 Ergänzendes Material
  • https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247711#sec016 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Respiratory infections
lokal Virus testing
lokal Polymerase chain reaction
lokal Autoantibodies
lokal Serotology
lokal SARS-CoV-2
lokal Antibodies
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/WW9rb3lhbWEsIFJpbg==|https://orcid.org/0000-0002-2596-1145|https://frl.publisso.de/adhoc/uri/TW9yaXRhLCBZb3NoaWZ1bWk=|https://frl.publisso.de/adhoc/uri/U2hpbXVyYSwgVGFrdXlh|https://frl.publisso.de/adhoc/uri/TmFrYW5vLCBZdWtp|https://frl.publisso.de/adhoc/uri/UWlhbiwgQ2h1bmdlbg==|https://frl.publisso.de/adhoc/uri/WGlhLCBGdXpoZW4=|https://frl.publisso.de/adhoc/uri/SGUsIEZhbg==|https://frl.publisso.de/adhoc/uri/S2lzaGksIFlvc2hpcm8=|https://frl.publisso.de/adhoc/uri/T2thZGEsIEp1bg==|https://frl.publisso.de/adhoc/uri/WW9zaGlrYXdhLCBOYW95dWtp|https://frl.publisso.de/adhoc/uri/TmFndXJhLCBZdXRha2E=|https://frl.publisso.de/adhoc/uri/T2themFraSwgSGl0b3NoaQ==|https://frl.publisso.de/adhoc/uri/TW9yaXlhLCBLeW9qaQ==|https://frl.publisso.de/adhoc/uri/U2V0bywgWWFzdXl1a2k=|https://frl.publisso.de/adhoc/uri/S29kYW1hLCBUYXRzdWhpa28=|https://frl.publisso.de/adhoc/uri/WWF0b21pLCBZdXRha2E=
1000 Label
1000 Förderer
  1. University of Tokyo |
  2. Shenzhen YHLO Biotech Co., Ltd. |
  3. Shenzhen YHLO Biotech Co., Ltd. |
  4. Mitsubishi Foundation |
1000 Fördernummer
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1000 Förderprogramm
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1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer University of Tokyo |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Shenzhen YHLO Biotech Co., Ltd. |
    1000 Förderprogramm -
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Shenzhen YHLO Biotech Co., Ltd. |
    1000 Förderprogramm -
    1000 Fördernummer -
  4. 1000 joinedFunding-child
    1000 Förderer Mitsubishi Foundation |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6425980.rdf
1000 Erstellt am 2021-03-05T14:49:42.759+0100
1000 Erstellt von 122
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1000 Bearbeitet von 122
1000 Zuletzt bearbeitet 2021-03-05T15:07:15.372+0100
1000 Objekt bearb. Fri Mar 05 15:06:58 CET 2021
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