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      Antibody responses and correlates after two and three doses of BNT162b2 COVID-19 vaccine

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      1 , 2 , 2 , 2 , 1 , , 3 , for SARS-CoV-2 Seroepidemiological Study among NCGM staff
      Infection
      Springer Berlin Heidelberg

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          Abstract

          To the editor, While the mRNA COVID-19 vaccines are highly effective in decreasing the risk of infection, hospitalization, and death [1], a significant variation in the immune response among vaccine recipients has been identified. Specifically, male sex, older age, and chronic diseases have been associated with lower anti-spike antibody levels after two vaccine doses [2, 3]. It remains elusive, however, whether such a difference in humoral immune response persists after the third vaccine dose, which is currently administered in many countries. Here, we report immunogenicity after the third dose of the BNT162b2 vaccine in relation to the correlates of that after the second dose. We analyzed data of a repeat serological study among the staff of the National Center for Global Health and Medicine, Japan [4]. In the Toyama ward of the center in Tokyo, 1949 staff attended a survey at least 14 days after the second vaccine (baseline survey); of these, 1446 attended the follow-up survey at least 14 days after the third vaccine. Then, we excluded 180 participants who had a history of COVID-19 (n = 55), were seropositive on anti-N antibodies at either or both surveys (n = 65), or lacked information on covariates (n = 60), leaving 1266 participants for analysis (Section S1). These participants had their anti-spike antibodies measured with both Roche (mature antibodies including IgG) and Abbott (IgG) assays at both baseline and follow-up surveys (Section S2). We used multivariable linear mixed models to examine the spike antibody titers in relation to potential determinants after the second and third doses (Section S3). Written informed consent was obtained from all participants, and the study procedure was approved by the NCGM ethics committee (approved number: NCGM-G-003598). The interval from the second vaccine dose to the baseline survey was 68 (interquartile range [IQR]: 62–70) days, and that from the third vaccine dose to the follow-up survey was 74 (IQR: 68–81) days. The spike antibody titers with Roche assay after the third dose were increased 11.7-fold from the titers after the second dose (geometric mean titers, 12,765 vs. 1,091), and all subgroups showed substantial elevation in antibody levels (Table 1). Male sex, older age, coexisting diseases, and immunosuppression were associated with lower antibody levels after the second vaccine dose. After the third vaccine dose, the associations with age and coexisting diseases disappeared, while the significant association with immunosuppression remained. Unexpectedly, males had significantly higher antibody levels than females after the third vaccine dose. The antibody correlates with the Abbott assay were materially the same except for obesity (defined as body mass index ≥ 27.5 kg/m2), which was associated with lower antibody titer after the second dose and not after the third dose (Table S2). Table 1 Anti-SARS-CoV-2 spike antibody titers (Roche) and their correlates after receipt of the second and third vaccine doses Variables N (%) After the second dose (N = 1266)a After the third dose (N = 1266)a Change from the second dose to the third dose P for interaction by time*group Adjusted GMT (95% CI)b Adjusted RoM (95% CI)b Adjusted GMT (95% CI)b Adjusted RoM (95% CI)b Adjusted RoM (95% CI)b,e Overall 1266 1091 (1050–1133) – 12,765 (12,287–13,262) – 11.7 (11.2–12.2) Sex  < 0.001  Male 346 (27) 952 (884–1025) Reference 14,367 (13,343–15,469) Reference 15.1 (14.0–16.3)  Female 920 (73) 1150 (1100–1203) 1.21 (1.11–1.32) 12,154 (11,622–12,711) 0.85 (0.78–0.92) 10.6 (10.1–11.1) Age  < 0.001   < 30 yr 354 (28) 1407 (1304–1518) Reference 12,988 (12,074–13,972) Reference 9.2 (8.6–10.0)  30 to < 40 yr 318 (25) 1219 (1132–1312) 0.88 (0.78–0.99) 12,878 (11,950–13,879) 1.00 (0.90–1.14) 10.6 (9.8–11.4)  40 to < 50 yr 311 (25) 926 (859–998) 0.68 (0.60–0.77) 11,325 (10,498–12,218) 0.90 (0.80–1.02) 12.2 (11.3–13.2)   ≥ 50 yr 283 (22) 847 (781–919) 0.59 (0.52–0.68) 13,851 (12,770–15,025) 1.04 (0.92–1.18) 16.4 (15.1–17.7)  P for trendd  < 0.001 0.97 Interactions between sex and age  Male  < 0.001   < 30 yr 56 (16) 1215 (1019–1448) Reference 14,158 (11,889–16,861) Reference 11.7 (9.8–13.9)  30 to < 40 yr 91 (26) 1140 (994–1308) 0.94 (0.75–1.17) 14,452 (12,592–16,588) 1.02 (0.82–1.28) 12.7 (11.0–14.6)  40 to < 50 yr 103 (30) 917 (806–1044) 0.76 (0.61–0.94) 13,491 (11,855–15,354) 0.95 (0.77–1.18) 14.7 (12.9–16.8)   ≥ 50 yr 96 (28) 667 (581–766) 0.55 (0.44–0.69) 14,015 (12,202–16,097) 0.99 (0.79–1.24) 21.0 (18.4–24.0)  P for trendd  < 0.001 0.78 Female  < 0.001   < 30 yr 298 (32) 1463 (1352–1584) Reference 12,857 (11,912–13,877) Reference 8.8 (8.1–9.5)  30 to < 40 yr 227 (25) 1254 (1149–1368) 0.86 (0.76–0.96) 12,263 (11,233–13,387) 0.95 (0.85–1.07) 9.8 (8.9–10.7)  40 to < 50 yr 208 (23) 940 (858–1028) 0.64 (0.57–0.72) 10,446 (9530–11,450) 0.81 (0.72–0.92) 11.1 (10.1–12.2)   ≥ 50 yr 187 (20) 944 (857–1040) 0.65 (0.57–0.73) 13,516 (12,271–14,889) 1.05 (0.93–1.19) 14.3 (13.0–15.8)  P for trendd  < 0.001 0.96 Body mass index 0.08   < 27.5 kg/m2 1204 (95) 1096 (1054–1140) Reference 12,691 (12,204–13,197) Reference 11.6 (11.1–12.1)   ≥ 27.5 kg/m2 62 (5) 997 (839–1184) 0.91 (0.76–1.09) 14,236 (11,978–16,921) 1.12 (0.94–1.34) 14.3 (11.9–17.1) Specific coexisting diseases c  < 0.001  No 1147 (91) 1119 (1075–1164) Reference 12,656 (12,164–13,167) Reference 11.1 (10.6–11.6)  Yes 119 (9) 899 (788–1025) 0.80 (0.70–0.92) 13,172 (11,550–15,020) 1.04 (0.91–1.20) 18.9 (16.7–21.5) Use of immunosuppressive drug 0.34  No 1242 (98) 1111 (1069–1154) Reference 12,964 (12,474–13,473) Reference 11.7 (11.2–12.2)  Yes 24 (2) 426 (324–558) 0.38 (0.29–0.50) 5715 (4356–7498) 0.44 (0.34–0.58) 13.4 (10.1–17.9) Bold font indicates statistical significance (P < 0.05) aThe median (interquartile range) intervals from the second or third dose to blood sampling were 68 (62–70) days or 74 (68–81) days, respectively. bThe geometric mean titer (GMT) with its 95% confidence intervals (CI) and the ratio of means with its 95% CI were estimated by the multivariable mixed model with adjustment for all variables in the table and the interval between vaccine doses and surveys. cSpecific coexisting diseases included hypertension, diabetes, dyslipidemia, cardiovascular disease, and cancer. d P for trend was calculated using a post-estimation orthogonal polynomial contrast of marginal linear trends (i.e., “contrast” command in Stata). eReference category is each corresponding group at baseline survey (i.e., after the second dose) CI confidence interval, GMT geometric mean titer, RoM ratio of mean After the third vaccine, we observed a substantial increase in anti-SARS-CoV-2 spike antibody levels, which appears to be larger among subgroups with lower antibody titers after the second dose, eliminating the difference in post-vaccine immune response across the population. The third dose may not only enhance post-vaccine immunogenicity but also minimize the discrepancy observed after the second dose across groups with a different background in terms of age, comorbidity, and obesity. Supplementary Information Below is the link to the electronic supplementary material. Supplementary file1 (DOCX 63 KB)

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          Waning Immune Humoral Response to BNT162b2 Covid-19 Vaccine over 6 Months

          Background Despite high vaccine coverage and effectiveness, the incidence of symptomatic infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been increasing in Israel. Whether the increasing incidence of infection is due to waning immunity after the receipt of two doses of the BNT162b2 vaccine is unclear. Methods We conducted a 6-month longitudinal prospective study involving vaccinated health care workers who were tested monthly for the presence of anti-spike IgG and neutralizing antibodies. Linear mixed models were used to assess the dynamics of antibody levels and to determine predictors of antibody levels at 6 months. Results The study included 4868 participants, with 3808 being included in the linear mixed-model analyses. The level of IgG antibodies decreased at a consistent rate, whereas the neutralizing antibody level decreased rapidly for the first 3 months with a relatively slow decrease thereafter. Although IgG antibody levels were highly correlated with neutralizing antibody titers (Spearman’s rank correlation between 0.68 and 0.75), the regression relationship between the IgG and neutralizing antibody levels depended on the time since receipt of the second vaccine dose. Six months after receipt of the second dose, neutralizing antibody titers were substantially lower among men than among women (ratio of means, 0.64; 95% confidence interval [CI], 0.55 to 0.75), lower among persons 65 years of age or older than among those 18 to less than 45 years of age (ratio of means, 0.58; 95% CI, 0.48 to 0.70), and lower among participants with immunosuppression than among those without immunosuppression (ratio of means, 0.30; 95% CI, 0.20 to 0.46). Conclusions Six months after receipt of the second dose of the BNT162b2 vaccine, humoral response was substantially decreased, especially among men, among persons 65 years of age or older, and among persons with immunosuppression.
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            Waning of BNT162b2 Vaccine Protection against SARS-CoV-2 Infection in Qatar

            Background Waning of vaccine protection against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection or coronavirus disease 2019 (Covid-19) is a concern. The persistence of BNT162b2 (Pfizer–BioNTech) vaccine effectiveness against infection and disease in Qatar, where the B.1.351 (or beta) and B.1.617.2 (or delta) variants have dominated incidence and polymerase-chain-reaction testing is done on a mass scale, is unclear. Methods We used a matched test-negative, case–control study design to estimate vaccine effectiveness against any SARS-CoV-2 infection and against any severe, critical, or fatal case of Covid-19, from January 1 to September 5, 2021. Results Estimated BNT162b2 effectiveness against any SARS-CoV-2 infection was negligible in the first 2 weeks after the first dose. It increased to 36.8% (95% confidence interval [CI], 33.2 to 40.2) in the third week after the first dose and reached its peak at 77.5% (95% CI, 76.4 to 78.6) in the first month after the second dose. Effectiveness declined gradually thereafter, with the decline accelerating after the fourth month to reach approximately 20% in months 5 through 7 after the second dose. Effectiveness against symptomatic infection was higher than effectiveness against asymptomatic infection but waned similarly. Variant-specific effectiveness waned in the same pattern. Effectiveness against any severe, critical, or fatal case of Covid-19 increased rapidly to 66.1% (95% CI, 56.8 to 73.5) by the third week after the first dose and reached 96% or higher in the first 2 months after the second dose; effectiveness persisted at approximately this level for 6 months. Conclusions BNT162b2-induced protection against SARS-CoV-2 infection appeared to wane rapidly following its peak after the second dose, but protection against hospitalization and death persisted at a robust level for 6 months after the second dose. (Funded by Weill Cornell Medicine–Qatar and others.)
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              Antibody responses to BNT162b2 mRNA COVID-19 vaccine and their predictors among healthcare workers in a tertiary referral hospital in Japan

              Objectives This study aimed to determine antibody responses in healthcare workers who receive the BNT162b2 mRNA COVID-19 vaccine and identify factors that predict the response. Methods We recruited healthcare workers receiving the BNT162b2 mRNA COVID-19 vaccine at the Chiba University Hospital COVID-19 Vaccine Center. Blood samples were obtained before the 1 st dose and after the 2 nd dose vaccination, and serum antibody titers were determined using Elecsys® Anti-SARS-CoV-2S, an electrochemiluminescence immunoassay. We established a model to identify the baseline factors predicting post-vaccine antibody titers using univariate and multivariate linear regression analyses. Results Two thousand fifteen individuals (median age 37-year-old, 64.3% female) were enrolled in this study, of which 10 had a history of COVID-19. Before vaccination, 21 participants (1.1%) had a detectable antibody titer (≥0.4 U/mL) with a median titer of 35.9 U/mL (interquartile range [IQR] 7.8 – 65.7). After vaccination, serum anti-SARS-CoV-2S antibodies (≥0.4 U/mL) were detected in all 1,774 participants who received the 2 nd dose with a median titer of 2,060.0 U/mL (IQR 1,250.0 – 2,650.0). Immunosuppressive medication (p<0.001), age (p<0.001), time from 2 nd dose to sample collection (p<0.001), glucocorticoids (p=0.020), and drinking alcohol (p=0.037) were identified as factors predicting lower antibody titers after vaccination, whereas previous COVID-19 (p<0.001), female (p<0.001), time between 2 doses (p<0.001), and medication for allergy (p=0.024) were identified as factors predicting higher serum antibody titers. Conclusions Our data demonstrate that healthcare workers universally have good antibody responses to the BNT162b2 mRNA COVID-19 vaccine. The predictive factors identified in our study may help optimize the vaccination strategy.
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                Author and article information

                Contributors
                mizoue@hosp.ncgm.go.jp
                Journal
                Infection
                Infection
                Infection
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0300-8126
                1439-0973
                4 August 2022
                : 1-3
                Affiliations
                [1 ]GRID grid.45203.30, ISNI 0000 0004 0489 0290, Department of Epidemiology and Prevention, Center for Clinical Sciences, , National Center for Global Health and Medicine, ; Tokyo, Japan
                [2 ]GRID grid.45203.30, ISNI 0000 0004 0489 0290, Department of Laboratory Testing, , Center Hospital of the National Center for the Global Health and Medicine, ; Tokyo, Japan
                [3 ]GRID grid.45203.30, ISNI 0000 0004 0489 0290, Disease Control and Prevention Center, , National Center for Global Health and Medicine, ; Tokyo, Japan
                Author information
                http://orcid.org/0000-0001-6503-8577
                Article
                1898
                10.1007/s15010-022-01898-5
                9362369
                35925506
                1f570bf3-6f5f-48f2-b7a7-6c31ce5e7c1c
                © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany 2022

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 11 May 2022
                : 27 July 2022
                Funding
                Funded by: National Center for Global Health and Medicine
                Award ID: 19K059
                Award Recipient :
                Funded by: Japan Health Research Promotion Bureau Research Fund
                Award ID: 2020-B-09
                Award Recipient :
                Categories
                Correspondence

                Infectious disease & Microbiology
                Infectious disease & Microbiology

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