Article
Reliable estimation of SARS-CoV-2 anti-spike protein IgG titers from single dilution optical density values in serologic surveys
Registro en:
BELITARDO, Emilia M. M. Andrade et al. Reliable estimation of SARS-CoV-2 anti-spike protein IgG titers from single dilution optical density values in serologic surveys. Diagnostic Microbiology and Infectious Disease, v. 104, n. 4, p. 1-12, 2022.
0732-8893
10.1016/j.diagmicrobio.2022.115807
Autor
Belitardo, Emilia M. M. Andrade
Nery Jr, Nivison
Ticona, Juan P. Aguilar
Portilho, Moyra Machado
Mello, Iago O
Ribeiro, Guilherme S.
Reis, Mitermayer G.
Costa, Federico
Cummings, Derek A. T.
Ko, Albert I.
Fofana, Mariam O.
Resumen
National Institutes of Health.
UK Medical Research Council.
Wellcome Trust.
Coordenação Brasileira de Aperfeiçoamento de Pessoal de Nível Superior (CAPES).
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).
Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB).
Bill & Melinda Gates Foundation.
American Society of Tropical Medicine and Hygiene .
Sendas Family Fund at the Yale School of Public Health. Reliable and scalable seroepidemiology methods are needed to estimate SARS-CoV-2 incidence and monitor the dynamics of population-level immunity as the pandemic evolves. We aimed to evaluate the reliability of SARS-CoV-2 normalized ELISA optical density (nOD) at a single dilution compared to titers derived from serial dilutions. We conducted serial serosurveys within a community-based cohort in Salvador, Brazil. AntiS IgG ELISA (Euroimmun AG) was performed with 5 serial 3-fold dilutions of paired sera from 54 participants. Changes in nOD reliably predicted increases and decreases in titers (98.1% agreement, k = 95.8%). Fitting the relationship between nOD and interpolated titers to a log-log curve yields highly accurate predictions of titers (r2 = 0.995) and changes in titers (r2 = 0.975), using only 1 to 2 dilutions. This approach can significantly reduce the time, labor and resources needed for large-scale erosurveys to ascertain population-level changes in exposure and immunity .