Details

Autor(en) / Beteiligte

• Romero-Ibarguengoitia, Maria Elena
• González-Cantú, Arnulfo
• Pozzi, Chiara
• Levi, Riccardo
• Mollura, Maximiliano
• Sarti, Riccardo
• Sanz-Sánchez, Miguel Ángel
• Rivera-Salinas, Diego
• Hernández-Ruíz, Yodira Guadalupe
• Armendariz-Vázquez, Ana Gabriela
• Del Rio-Parra, Gerardo Francisco
• Barco-Flores, Irene Antonieta
• González-Facio, Rosalinda
• Azzolini, Elena
• Barbieri, Riccardo
• de Azevedo Dias, Alessandro Rodrigo
• Henriques Guimarães Júnior, Milton
• Bastos-Borges, Alessandra
• Acciardi, Cecilia
• Paez-Bo, Graciela
• Teixeira, Mauro Martins
• Rescigno, Maria

Titel

Analysis of immunization time, amplitude, and adverse events of seven different vaccines against SARS-CoV-2 across four different countries

Ist Teil von

• Frontiers in immunology, 2022-07, Vol.13, p.894277-894277

Ort / Verlag

Frontiers Media S.A

Erscheinungsjahr

2022

Link zum Volltext

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• Background Scarce information exists in relation to the comparison of seroconversion and adverse events following immunization (AEFI) with different SARS-CoV-2 vaccines. Our aim was to correlate the magnitude of the antibody response to vaccination with previous clinical conditions and AEFI. Methods A multicentric comparative study where SARS-CoV-2 spike 1-2 IgG antibodies IgG titers were measured at baseline, 21-28 days after the first and second dose (when applicable) of the following vaccines: BNT162b2 mRNA, mRNA-1273, Gam-COVID-Vac, Coronavac, ChAdOx1-S, Ad5-nCoV and Ad26.COV2. Mixed model and Poisson generalized linear models were performed. Results We recruited 1867 individuals [52 (SD 16.8) years old, 52% men]. All vaccines enhanced anti-S1 and anti-S2 IgG antibodies over time (p<0.01). The highest increase after the first and second dose was observed in mRNA-1273 (p<0.001). There was an effect of previous SARS-CoV-2 infection; and an interaction of age with previous SARS-CoV-2 infection, Gam-COVID-Vac and ChAdOx1-S (p<0.01). There was a negative correlation of Severe or Systemic AEFI (AEs) of naïve SARS-CoV-2 subjects with age and sex (p<0.001); a positive interaction between the delta of antibodies with Gam-COVID-Vac (p=0.002). Coronavac, Gam-COVID-Vac and ChAdOx1-S had less AEs compared to BNT162b (p<0.01). mRNA-1273 had the highest number of AEFIs. The delta of the antibodies showed an association with AEFIs in previously infected individuals (p<0.001). Conclusions The magnitude of seroconversion is predicted by age, vaccine type and SARS-CoV-2 exposure. AEs are correlated with age, sex, and vaccine type. The delta of the antibody response only correlates with AEs in patients previously exposed to SARS-CoV-2. Registration number ClinicalTrials.gov , identifier NCT05228912.