학술논문
Kinetics of humoral immune response over 17 months of COVID-19 pandemic in a large cohort of healthcare workers in Spain: the ProHEpiC-19 study
Document Type
Report
Author
Violán, Concepción; Torán-Monserrat, Pere; Quirant, Bibiana; Lamonja-Vicente, Noemi; Carrasco-Ribelles, Lucía A.; Chacón, Carla; Manresa-Dominguez, Josep Maria; Ramos-Roure, Francesc; Dacosta-Aguayo, Rosalia; Palacios-Fernández, Cristina; Roso-Llorach, Albert; Pujol, Aleix; Ouchi, Dan; Monteagudo, Mónica; Montero-Alia, Pilar; Garcia-Sierra, Rosa; Arméstar, Fernando; Doladé, Maria; Prat, Nuria; Bonet, Josep Maria; Clotet, Bonaventura; Blanco, Ignacio; Boigues-Pons, Marc; Moreno-Millán, Nemesio; Prado, Julia G.; Cáceres, Eva María Martínez; Garcia, Marta Soldevilla; Roldan, Ester Moral; Costa, Magda Alemany; Ortega, Eva Olivares; Camacho, Alba Pachón; Devesa, Marta Bujalance; Espinoza, Mariella Soto; Palma, Antonio Negrete; de San José, Mariana Martinez; Varas, Ester Lucas; Perich, Ester Badia; Rodriguez, Mónica Piéa; Graells, Elena Domenech; Gabriel, Eduard Moreno; Cintas, Victòria Sabaté; González, Mª Jose Argerich; Duran, Asumció Vazquez; Roca, Alex Ortega; Pradells, Anna Devesa; Kielpilanen, Athina; Lombarte, Oscar Blanch; Lopez, Miguel Angel Marin; Carabelli, Julieta; Poderós, Ruth Peéa; Moyano, Esther Jimenez; Segura, Eulalia Grau; Rosa, Laia Bernard; Caballero, Raul Pérez; Lozano, Felipe Rodriguez; Rivas, Gema Fernández; Abos, Sonia Molinos; de Osaba, Jaume Barallat Martinez; Trigo, Lorena Tello; Cano, Cristina Perez; Aguilar, Juan Matllo; Martínez, Anabel López; Iglesias, Inmaculada Agüera
Source
BMC Infectious Diseases. September 3, 2022, Vol. 22 Issue 1
Subject
Language
English
ISSN
1471-2334
Abstract
Author(s): Concepción Violán[sup.1,2,3,4] , Pere Torán-Monserrat[sup.1,2,3,5,6] , Bibiana Quirant[sup.3,7,8] , Noemi Lamonja-Vicente[sup.1,2] , Lucía A. Carrasco-Ribelles[sup.9] , Carla Chacón[sup.1,2] , Josep Maria Manresa-Dominguez[sup.1,2,8,10] , Francesc Ramos-Roure[sup.1,11] , Rosalia Dacosta-Aguayo[sup.1,3] , [...]
Background Understanding the immune response to the SARS-CoV-2 virus is critical for efficient monitoring and control strategies. The ProHEpic-19 cohort provides a fine-grained description of the kinetics of antibodies after SARS-CoV-2 infection with an exceptional resolution over 17 months. Methods We established a cohort of 769 healthcare workers including healthy and infected with SARS-CoV-2 in northern Barcelona to determine the kinetics of the IgM against the nucleocapsid (N) and the IgG against the N and spike (S) of SARS-CoV-2 in infected healthcare workers. The study period was from 5 May 2020 to 11 November 2021.We used non-linear mixed models to investigate the kinetics of IgG and IgM measured at nine time points over 17 months from the date of diagnosis. The model included factors of time, gender, and disease severity (asymptomatic, mild-moderate, severe-critical) to assess their effects and their interactions. Findings 474 of the 769 participants (61.6%) became infected with SARS-CoV-2. Significant effects of gender and disease severity were found for the levels of all three antibodies. Median IgM(N) levels were already below the positivity threshold in patients with asymptomatic and mild-moderate disease at day 270 after the diagnosis, while IgG(N and S) levels remained positive at least until days 450 and 270, respectively. Kinetic modelling showed a general rise in both IgM(N) and IgG(N) levels up to day 30, followed by a decay with a rate depending on disease severity. IgG(S) levels remained relatively constant from day 15 over time. Interpretation IgM(N) and IgG(N, S) SARS-CoV-2 antibodies showed a heterogeneous kinetics over the 17 months. Only the IgG(S) showed a stable increase, and the levels and the kinetics of antibodies varied according to disease severity. The kinetics of IgM and IgG observed over a year also varied by clinical spectrum can be very useful for public health policies around vaccination criteria in adult population. Funding Regional Ministry of Health of the Generalitat de Catalunya (Call COVID19-PoC SLT16_04; NCT04885478). Keywords: SARS-CoV-2, COVID-19, Antibodies, IgG, IgM, Seroprevalence, Kinetics, Humoral immunity, Clinical spectrum, Health care workers, Cohort, Non-linear mixed models
Background Understanding the immune response to the SARS-CoV-2 virus is critical for efficient monitoring and control strategies. The ProHEpic-19 cohort provides a fine-grained description of the kinetics of antibodies after SARS-CoV-2 infection with an exceptional resolution over 17 months. Methods We established a cohort of 769 healthcare workers including healthy and infected with SARS-CoV-2 in northern Barcelona to determine the kinetics of the IgM against the nucleocapsid (N) and the IgG against the N and spike (S) of SARS-CoV-2 in infected healthcare workers. The study period was from 5 May 2020 to 11 November 2021.We used non-linear mixed models to investigate the kinetics of IgG and IgM measured at nine time points over 17 months from the date of diagnosis. The model included factors of time, gender, and disease severity (asymptomatic, mild-moderate, severe-critical) to assess their effects and their interactions. Findings 474 of the 769 participants (61.6%) became infected with SARS-CoV-2. Significant effects of gender and disease severity were found for the levels of all three antibodies. Median IgM(N) levels were already below the positivity threshold in patients with asymptomatic and mild-moderate disease at day 270 after the diagnosis, while IgG(N and S) levels remained positive at least until days 450 and 270, respectively. Kinetic modelling showed a general rise in both IgM(N) and IgG(N) levels up to day 30, followed by a decay with a rate depending on disease severity. IgG(S) levels remained relatively constant from day 15 over time. Interpretation IgM(N) and IgG(N, S) SARS-CoV-2 antibodies showed a heterogeneous kinetics over the 17 months. Only the IgG(S) showed a stable increase, and the levels and the kinetics of antibodies varied according to disease severity. The kinetics of IgM and IgG observed over a year also varied by clinical spectrum can be very useful for public health policies around vaccination criteria in adult population. Funding Regional Ministry of Health of the Generalitat de Catalunya (Call COVID19-PoC SLT16_04; NCT04885478). Keywords: SARS-CoV-2, COVID-19, Antibodies, IgG, IgM, Seroprevalence, Kinetics, Humoral immunity, Clinical spectrum, Health care workers, Cohort, Non-linear mixed models