| Literature DB >> 35214792 |
Piotr Kosiorek1,2, Dorota Elżbieta Kazberuk3, Anna Hryniewicz4, Robert Milewski5, Samuel Stróż2, Anna Stasiak-Barmuta2.
Abstract
Systemic vaccination with the BNT162b2 mRNA vaccine stimulates the humoral response. Our study aimed to compare the intensity of the humoral immune response, measured by SARS-CoV-2 IgG, SARS-CoV-2 IgM, and S-RBD-neutralizing IgG antibody levels after COVID-19 vaccination versus after SARS-CoV-2 infection. We analyzed 1060 people in the following groups: convalescents; healthy unvaccinated individuals; individuals vaccinated with Comirnaty, AstraZeneca, Moderna, or Johnson & Johnson; and vaccinated SARS-CoV-2 convalescents. The concentrations of SARS-CoV-2 IgG, SARS-CoV-2 IgM, and S-RBD-neutralizing antibodies were estimated in an oncology hospital laboratory by chemiluminescent immunoassay (CLIA; MAGLUMI).Entities:
Keywords: BNT162b2; COVID-19; SARS-CoV-2; reimmunization; vaccination
Year: 2022 PMID: 35214792 PMCID: PMC8875391 DOI: 10.3390/vaccines10020334
Source DB: PubMed Journal: Vaccines (Basel) ISSN: 2076-393X
Figure 1Gender distribution in the study groups. There is no statistically significant difference among the study groups in terms of gender.
Population characteristics and outcomes in the case–control study.
| Groups | Participants | G0 | G01 | G1 | G2 | G3 | G4 | G5 |
|---|---|---|---|---|---|---|---|---|
| All | 1060 | 111 | 43 | 76 | 472 | 42 | 312 | 4 |
| % | 100 | 10.69 | 4.05 | 7.17 | 44.52 | 3.96 | 29.43 | 0.38 |
| 2020 | 499 (47.07%) | 51 | 14 | 30 | 215 | 7 | 179 | 3 |
| 2021 | 561 (52.92%) | 60 | 29 | 46 | 257 | 35 | 133 | 1 |
|
| ||||||||
| Female | 783 (73.87%) | 94 | 10 | 33 | 63 | 346 | 23 | 3 |
| Vaccinated | 594 (75.86%) | 0 | 0 | 0 | 347 | 23 | 221 | 3 |
| Unvaccinated | 189 (24.14%) | 93 | 33 | 63 | 0 | 0 | 0 | 0 |
| Male | 277 (26.13%) | 18 | 33 | 10 | 125 | 19 | 91 | 1 |
| Vaccinated | 236 (85.19%) | 0 | 0 | 0 | 125 | 19 | 91 | 1 |
| Unvaccinated | 41 (14.8%) | 18 | 10 | 13 | 0 | 0 | 0 | 0 |
|
| ||||||||
| <35 | 220 (20.75%) | 39 | 8 | 20 | 102 | 4 | 47 | 0 |
| 36–49 | 361 (34.06%) | 39 | 12 | 23 | 163 | 15 | 109 | 0 |
| >50 | 479 (45.18%) | 34 | 23 | 33 | 206 | 23 | 156 | 4 |
|
| ||||||||
| Negative | 671 (63.3%) | 111 | 43 | 0 | 471 | 35 | 11 | 0 |
| Positive | 389 (36.69%) | 0 | 0 | 76 | 1 | 7 | 301 | 4 |
|
| ||||||||
| No | 662 (62.45%) | 111 | 43 | 0 | 470 | 35 | 2 | 0 |
| 30–50 days | 18 (1.69%) | 0 | 0 | 13 | 1 | 2 | 1 | 2 |
| 60–90 days | 81 (7.64%) | 0 | 0 | 18 | 0 | 3 | 58 | 2 |
| >180 days | 299 (28.2%) | 0 | 0 | 45 | 1 | 0 | 251 | 0 |
|
| ||||||||
| No | 233 (21.79%) | 111 | 43 | 76 | 0 | 0 | 0 | 0 |
| Yes | 827 (78.01%) | 0 | 0 | 0 | 472 | 24 | 312 | 4 |
| Comirnaty | 787 (74.2%) | 0 | 0 | 0 | 472 | 0 | 312 | 4 |
| AstraZeneca | 21 (1.98%) | 0 | 0 | 0 | 0 | 21 | 0 | 0 |
| Moderna | 19 (1.79%) | 0 | 0 | 0 | 0 | 19 | 0 | 0 |
| J&J | 2 (0.19%) | 0 | 0 | 0 | 0 | 2 | 0 | 0 |
|
| ||||||||
| No | 749 (70.66%) | 111 | 43 | 76 | 288 | 31 | 197 | 2 |
| <14 days | 58 (5.47%) | 0 | 0 | 0 | 28 | 4 | 26 | 0 |
| 14–90 days | 183 (17.3%) | 0 | 0 | 0 | 111 | 0 | 64 | 1 |
| >90 days | 70 (6.6%) | 0 | 0 | 0 | 45 | 0 | 25 | 1 |
|
| 1060 | |||||||
| <1.0 | 685 (64.62%) | 111 | 19 | 41 | 420 | 27 | 192 | 3 |
| >0.2 | 375 (35.37%) | 0 | 43 | 42 | 103 | 19 | 167 | 1 |
| >1.0 | 247 (23.30%) | 0 | 24 | 35 | 52 | 15 | 120 | 1 |
|
| 1060 | |||||||
| <1.0 | 879 (82.92%) | 103 | 33 | 65 | 397 | 36 | 242 | 3 |
| >1.0 | 181 (17.07%) | 18 | 11 | 75 | 6 | 70 | 1 | |
|
| 546 | |||||||
| <1.0 | 81 (7.64%) | 31 | 2 | 6 | 31 | 4 | 7 | 0 |
| >1.0 | 465 (43.86%) | 20 | 22 | 33 | 220 | 21 | 147 | 2 |
| >50 | 295 (27.83%) | 0 | 3 | 11 | 154 | 8 | 117 | 2 |
| >100 | 246 (23.20%) | 0 | 3 | 8 | 126 | 6 | 101 | 2 |
| >500 | 57 (5.38%) | 0 | 0 | 1 | 14 | 4 | 36 | 2 |
| >1000 | 38 (3.58%) | 0 | 0 | 0 | 10 | 3 | 23 | 2 |
The average age of 1060 participants is 47.5 years. The population is normally distributed. Preferential extension of vaccinations to only some age groups in Poland prevented us from correctly interpreting these data. No relationship with gender was observed in the analyzed groups. All antibody concentration results are in AU/mL. The COVID-19 test indicates population groups testing positive or negative by RT-PCR. COVID-19 response indicates the population groups wherein antibodies had a temporal correlation with infection, as measured by a positive test. Vaccinated COVID-19 represents the vaccine population groups. Vaccination response refers to the population groups with a temporal correlation with the performance of the vaccination. We rejected 3 of 1063 participants, regarded as hyper-responders based on IgM and IgG because of markedly higher measured antibody concentrations (>2000 AU/mL IgG, >700, and >300 AU/mL IgM). The person with an over-response of IgG was also an early responder (<14 days) due to an autoimmune disease. The G5 group included too few people to draw conclusions, but four people had high levels of S-RBD IgG and low levels of SARS-CoV-2 IgM and IgG. This phenomenon seems to be related to the loss of antibodies following a previous complete vaccination and an incidence of SARS-CoV-2 infection. This study is most relevant for Delta virus variants in Poland. We were unable to determine the type of virus variants in our laboratory.
Figure 2The absolute concentrations of SARS-CoV-2 IgG (a), IgM (c), and S-RBD IgG (b) antibodies in each study group, G0-G5 (p < 0.05 appropriately; Kruskal–Wallis ANOVA).
Figure 3The absolute concentrations of SARS-CoV-2 IgG and IgM antibodies (a,c) and S-RBD-neutralizing IgG (b,d) for vaccinated and COVID-19-positive individuals (p < 0.005 appropriately; Kruskal–Wallis ANOVA). The unexposed COVID-19 group includes people who tested negative for COVID-19 and people with no history of being infected before measuring the antibodies.
Figure 4The determination of antibodies in the study groups at intervals (a) after full vaccination and (b) after obtaining a positive result for SARS-CoV-2 (COVID-19 positive test) (p < 0.005 appropriately; Kruskal–Wallis).