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Comparative analysis of eleven SARS-CoV-2 immunoassays and neutralisation data: time to enhance standardisation and correlation of protection.
Cabrera-Alvargonzalez, Jorge-Julio; Davina-Nunez, Carlos; Rey-Cao, Sonia; Rodriguez Calviño, Leticia; Silva-Bea, Sergio; Gonzalez-Alonso, Elena; Carballo-Fernandez, Raquel; Lameiro Vilariño, Carmen; Cortizo-Vidal, Sandra; Valiño-Prieto, Pilar; Rodriguez-Perez, Miriam; Pérez Castro, Sonia; López Miragaya, Isabel; Fernández-Nogueira, Arturo; Del Campo-Perez, Victor; Regueiro-Garcia, Benito.
Afiliação
  • Cabrera-Alvargonzalez JJ; Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Vigo, Spain.
  • Davina-Nunez C; Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain.
  • Rey-Cao S; Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Vigo, Spain.
  • Rodriguez Calviño L; Faculty of Biology, Universidade de Vigo, Vigo, Spain.
  • Silva-Bea S; Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Vigo, Spain.
  • Gonzalez-Alonso E; Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain.
  • Carballo-Fernandez R; Clinical Analysis Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain.
  • Lameiro Vilariño C; Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Vigo, Spain.
  • Cortizo-Vidal S; Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Vigo, Spain.
  • Valiño-Prieto P; Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain.
  • Rodriguez-Perez M; Preventive Medicine Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain.
  • Pérez Castro S; Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain.
  • López Miragaya I; Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain.
  • Fernández-Nogueira A; Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain.
  • Del Campo-Perez V; Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Vigo, Spain.
  • Regueiro-Garcia B; Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain.
Infect Dis (Lond) ; : 1-13, 2024 Jul 24.
Article em En | MEDLINE | ID: mdl-39046827
ABSTRACT

BACKGROUND:

To infer a reliable SARS-CoV-2 antibody protection level from a serological test, an appropriate quantitative threshold and solid equivalence across serological tests are needed. Additionally, tests should show a solid correlation with neutralising assays and with the protection observed in large population cohorts even against emerging variants.

OBJECTIVES:

We studied convalescent and vaccinated populations using 11 commercial antibody assays. Results were compared to evaluate discrepancies across tests. Neutralisation capacity was measured in a subset of the samples with a lentiviral-based assay.

METHODS:

Serum from convalescent (n = 121) and vaccinated individuals (n = 471, 260 with Comirnaty, 110 with Spikevax, and 96 with Vaxzevria) was assessed using 11 different assays, including two from Abbott, Euroimmun, Liaison, Roche, and Vircell, and one from Siemens. A spike protein-lentiviral vector with a fluorescent reporter was used for neutralisation assay of serum from convalescent (n = 26) and vaccinated (n = 39) individuals.

RESULTS:

Positivity ranged between 81.3 and 94.3% after infection and 99.4 and 99.7% after vaccination, depending on the assay. Both cohorts showed a high level of qualitative agreement across tests (Fleiss' kappa = 0.598 and 0.719 for convalescent and vaccinated respectively). Spikevax vaccine recipients showed the highest level of antibodies in all tests. Effectiveness of each test predicting SARS-CoV-2 neutralising capacity depended on assay type and target, with CLIA and anti-S being more effective than ELISA and anti-N assays, respectively.

CONCLUSIONS:

High-throughput immunoassays are good predictors of neutralising capacity. Updated targets and better standardisation would be required to find an effective correlate of protection, especially to account for antibodies against new variants.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article