Literature DB >> 34293641

SARS-CoV-2 anti-spike antibody titres after vaccination with BNT162b2 in naïve and previously infected individuals.

Andrea Lombardi1, Dario Consonni2, Massimo Oggioni3, Patrizia Bono3, Sara U Renteria3, Alessandra Piatti4, Angela C Pesatori5, Silvana Castaldi6, Antonio Muscatello7, Luciano Riboldi8, Ferruccio Ceriotti3, Alessandra Bandera9, Andrea Gori9.   

Abstract

Great expectations are placed in vaccines against COVID-19 to control the pandemic. We reviewed the antibody titres in a cohort of healthcare workers (HCWs) vaccinated with BNT162b2 to assess the influence of a previous infection on them. We stratified the results according to the individual history of nasopharyngeal swab (NPS) and symptoms. Among 3475 HCWs the highest titres were recorded among those infected more than 6 months before vaccination, independently of symptoms, followed by those infected less than 6 months before vaccination, especially in those with symptoms, and by uninfected HCWs. Vaccination with BNT162b2 can boost immunity acquired through infection, particularly in those infected more than 6 months before vaccination.
Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  BNT162b2; COVID-19; Healthcare workers; Vaccination

Mesh:

Substances:

Year:  2021        PMID: 34293641      PMCID: PMC8285930          DOI: 10.1016/j.jiph.2021.07.005

Source DB:  PubMed          Journal:  J Infect Public Health        ISSN: 1876-0341            Impact factor:   3.718


Introduction

The pandemic of Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2), is hardly affecting the entire world, with 155,373,584 cases and 3,245,391 related deaths as of 1th of May 2021 and great expectations are placed in mass vaccination. Currently, the four COVID-19 vaccines approved in the European Union are the mRNA-based BNT162b2 and mRNA-1273 and the adenoviral vector-based ChAdOx1 nCoV-19 and Ad26.COV2-S [1]. All these vaccines are designed to elicit an immune response directed toward the S1 spike protein of SARS-CoV-2 [2]. Both BNT162b2 and mRNA-1273 in the first 100 days after vaccination were able to elicit specific antibodies titres and neutralizing antibodies concentrations above those observed among COVID-19 human convalescent serum [3]. Uncertainties remain regarding the impact of vaccination of previously infected individuals, with preliminary data showing higher antibody titres in those who were infected [[4], [5], [6], [7]]. Moreover, the severity of COVID-19 has been directly correlated with the persistence of detectable neutralizing antibodies in serum [8].

Methods

We assessed the anti-S1 antibodies titres (Elecsys Anti-SARS-COV-2 S, Roche Diagnostics, Monza, Italy) on 3475 healthcare workers (HCWs) of the IRCCS Ospedale Maggiore Policlinico of Milan, Italy, 28 days after having received the second dose of BNT162b2 vaccine (data as of May 1). All the HCWs received two doses of BNT162b2 vaccine, irrespective of previous SARS-COV-2 infection, 21 days apart. We reviewed the results of SARS-COV-2 RT-PCR on nasopharyngeal swabs (NPSs) (AllplexTM2019-nCoV Assay, Seegene, Seoul, South Korea) performed for active surveillance, presence of symptoms or contact with COVID-19 case, by the vaccinated HCWs since the beginning of the COVID-19 pandemic. We examined the association of anti-S1 titres with gender, age, BMI, smoking, and a five-category variable representing the combination of NPS results and symptoms, i.e., never positive, positive less than 180 days before Ig testing (without or with symptoms), positive more than 180 days before (without or with symptoms). Those infected less than 180 days before Ig testing were defined as recently infected whereas those receiving immunosuppressive drugs for transplantation or autoimmune disorders were classified as with immune deficiencies. We used Kruskal–Wallis test to analyse quantitative titres and chi-squared test to analyse above the higher measurement limit (HML) of the method (7500 U/mL). Finally, we fitted a multivariable Poisson regression model with robust standard error containing all these variables to calculate adjusted risk ratios (RR) and 95% confidence intervals (CI) of high (i.e., >HML) vs low titres. Analyses were performed with Stata 16 (StataCorp. 2019) [9]. The study was exempted from a formal approval by the internal review board of our institution considering that the results are aggregate data collected for health surveillance purposes.

Results

Out of 3475 subjects, only six (0.17%) had non-detectable anti-S1 (i.e., less than the limit of quantification of <0.4 U/mL), four of them reported underlying immune deficiencies. Median anti-S1 titres (Table 1 ) were associated with age (negatively) and BMI (positively). Smokers showed lower median titres than never smokers. Subjects who never had positive NPS tests had the lowest median titres. Asymptomatic subjects infected less than six months before Ig testing had lower median titres than recently infected symptomatic ones and those infected more than six months before. When analysing crude proportions of high (>HML) titres, the associations with BMI and smoking were confirmed. Moreover, we found a positive trend with NPS results and symptoms: 6.7% had high anti-S1 among never positives, 25.7% among asymptomatic recently infected, 59.4% among symptomatic recently infected, and about 90% (irrespective of symptoms) in those infected more than six months before. The multivariable analysis confirmed that subjects aged <35 years, overweight/obese, and never smokers had higher frequency of high (>HML) titres. Also confirmed was the pattern according to NPS results and presence of symptoms.
Table 1

Association between selected variables and anti-S1 antibody titres among healthcare workers in a research and teaching hospital in Milan, Italy.

VariableN subjectsAnti-S (U/mL)Anti-S>7500 U/mL*
MedianN%RR95% CI
All3475157753015.2
Gender
 Women2475160235814.51.00Reference
 Men1000150117217.21.000.87−1.15
 p-Value**0.100.12
Age (years)
 <351162197619416.71.00Reference
 35−4466915538813.10.670.55−0.82
 45 + 54903144913414.80.720.60−0.86
 55+741120811415.41.000.66−0.94
 p-Value**0.00010.22
BMI (kg/m2)
 <2060214877512.51.00Reference
 20−24.991612155622914.21.000.80−1.24
 25−29.99765155612716.61.200.95−1.54
 30+26620296022.61.341.02−1.76
 p-Value**0.0040.006
Cigarette smoking
 Never1908175634217.91.00Reference
 Former56715148314.60.850.71−1.02
 Current8041218718.80.630.51−0.77
 p-Value**0.0001<0.001
Nasopharyngeal swab/symptoms
 Never positive296813742006.71.00Reference
 Positive <180 days before/No7025891825.73.672.27−5.93
 Positive <180 days before/Yes271750016159.49.007.55−10.7
 Positive 180+ days before/No1475001285.711.58.1−16.4
 Positive 180+ days before/Yes152750013991.413.311.3−15.7
 p-Value**0.0001<0.001

Abbreviations: BMI, body mass index; CI, confidence interval; LOQ, limit of quantification; RR, risk ratio.

RR were calculated with a multivariable Poisson regression model with robust standard error containing all the variables in the table.

Higher measurement limit: 7500 U/mL.

p-Values calculated with Kruskal–Wallis (quantitative titres) or chi-squared (titres > LOQ) tests.

Association between selected variables and anti-S1 antibody titres among healthcare workers in a research and teaching hospital in Milan, Italy. Abbreviations: BMI, body mass index; CI, confidence interval; LOQ, limit of quantification; RR, risk ratio. RR were calculated with a multivariable Poisson regression model with robust standard error containing all the variables in the table. Higher measurement limit: 7500 U/mL. p-Values calculated with Kruskal–Wallis (quantitative titres) or chi-squared (titres > LOQ) tests.

Discussion

Our serologic data suggest that the complete vaccination schedule with BNT162b2 elicit a vigorous immune response, assessed in terms of raw anti-S1 antibody titres, in both uninfected and previously exposed individuals. This response appears higher in those who were infected more than 6 months before vaccination than those infected more recently. Interestingly, the highest antibody titres were found among those aged <35 years, those overweight/obese, and who never smoked. Among those infected, antibody tires above the HML were associated with the presence of symptoms. The detection of higher antibody titres among subject previously infected is an expected finding, with the vaccination acting as a booster of naturally occurring immunity. Overall, our data are in accordance with preliminary reports already available [[4], [5], [6], [7]]. Several reasons can justify the higher antibodies titres observed in the NPS+ ≥180 group. On one hand, they can be the consequence of multiple exposures to SARS-CoV-2 occurred after the first infection, which acted as natural boosters of the immune response. On the other hand, it is well known how high recall and anamnestic responses to vaccination are associated with intervals of at least 3–4 months between stimuli, with longer intervals associated with generally greater responses. On the basis of our results, previously infected individuals can be vaccinated with the reassurance of achieving elevated antibody titres. Regarding the highest titres observed among those who presented symptoms, this parallel similar observations that our and other groups have made also for anti-N antibodies, elicited only by natural infection [10]. Among the other, Legros et al. demonstrated how neutralizing antibodies (nAb) titres correlated strongly with disease severity and with anti-spike IgG levels, with patients from intensive care units exhibiting high nAb titres whereas asymptomatic or exclusive outpatient-care patients had no or low nAbs [11]. It remains to be understood if vaccination can elicit nAbs in previously infected individuals in the same way that anti-S1 antibodies are stimulated. Interestingly, as we previously observed for anti-N antibodies, anti-S1 antibodies titres were lower among smokers [10]. This confirm the impact of smoking on the immune system and its ability to mount an humoral response to inhaled but also injected antigens, a finding in contrast with previous evidence which suggested an influence only on inhaled antigens [12]. Cumulatively, smokers are particularly at risk during COVID-19 pandemic for both the increased probability of having respiratory manifestations and the lower ability of mounting an effective immune response. Intriguingly is the positive association found between the anti-S1 antibody titres and the BMI. Indeed, SARS-CoV-2 IgG antibodies have been negatively associated with BMI in COVID-19 obese patients [13]. This is in accordance with what has been observed after influenza infection or influenza vaccination, which has been linked to the higher inflammation, the reduced number of suppressive T-regulatory cells and the decreased populations of bone marrow–resident B cells observed among obese individuals [14,15]. After influenza vaccination in obese patients, BMI was correlated positively with higher initial fold increase in IgG antibodies but, 12 months post vaccination, higher BMI was associated with a greater decline in influenza antibody titres. A similar trend could be expected in our cohort and a long term follow-up of antibody titres is needed to verify this hypothesis. Several questions remain unanswered: the duration of the antibody response, the cellular immune response elicited, the minimum titre required to be protected from COVID-19, the effectiveness of vaccination against SARS-CoV-2 variants and the prevalence of neutralizing antibodies among the total value of antibodies. Overall, vaccination with BNT162b2 elicited strong antibody responses in both previously infected and uninfected individuals and this response was particularly relevant among those recently infected who reported symptoms and in those with remote infection, irrespective of symptoms.

Contributors

AL, DC and AG conceived the study. PB, SUR, DC, FC, MO collected the data. DC performed statistical analysis. AL wrote the first draft of the manuscript. All the authors reviewed the final version of the manuscript.

Competing interests

None declared.

Ethical approval

Not required.
  13 in total

1.  Seroconversion to mRNA SARS-CoV-2 Vaccines in Hematologic Patients.

Authors:  Bruno Fattizzo; Marta Bortolotti; Nicolò Rampi; Francesca Cavallaro; Juri Alessandro Giannotta; Cristina Bucelli; Ramona Cassin; Matteo Claudio Da Vià; Giulia Galassi; Alessandro Noto; Loredana Pettine; Francesca Gaia Rossi; Mariarita Sciumè; Ferruccio Ceriotti; Dario Consonni; Wilma Barcellini; Luca Baldini
Journal:  Front Immunol       Date:  2022-05-12       Impact factor: 8.786

2.  Aspects of Humoral Immunity after Vaccination with Bnt162b2: A Small Study.

Authors:  Lucian-Ion Giubelan; Florentina Dumitrescu; Livia Dragonu; Andreea Cristina Stoian; Cristina Ilie; Ilona Stanciu
Journal:  Curr Health Sci J       Date:  2022-03-31

3.  Post-vaccination analysis of anti-spike antibody responses in kidney transplant recipients with and without COVID-19 infection in a tertiary care centre, India.

Authors:  Sanjiv Jasuja; Vivekanand Jha; Gaurav Sagar; Anupam Bahl; Shalini Verma; Neharita Jasuja; Jasmeet Kaur
Journal:  Clin Kidney J       Date:  2022-03-03

4.  Clinical characteristics of healthcare workers with SARS-CoV-2 infection after vaccination with BNT162b2 vaccine.

Authors:  Andrea Lombardi; Giulia Renisi; Dario Consonni; Massimo Oggioni; Patrizia Bono; Sara Uceda Renteria; Alessandra Piatti; Angela Cecilia Pesatori; Silvana Castaldi; Antonio Muscatello; Luciano Riboldi; Ferruccio Ceriotti; Andrea Gori; Alessandra Bandera
Journal:  BMC Infect Dis       Date:  2022-01-28       Impact factor: 3.090

5.  Side effects among healthcare workers from a large Milan university hospital after second dose of BNT162b2 mRNA COVID-19 vaccine.

Authors:  Elisa Borroni; Dario Consonni; Massimo Cugno; Andrea Lombardi; Davide Mangioni; Patrizia Bono; Massimo Oggioni; Sara Uceda Renteria; Lorenzo Bordini; Carlo Domenico Nava; Matteo Letzgus; Flaminia Gentiloni Silverj; Silvana Castaldi; Magda Rognoni; Luca Cavallieri D'Oro; Michele Carugno; Luciano Riboldi; Ferruccio Ceriotti; Alessandra Bandera; Andrea Gori; Angela Cecilia Pesatori
Journal:  Med Lav       Date:  2021-12-23       Impact factor: 1.275

6.  Impact of diagnosis and treatment on response to COVID-19 vaccine in patients with BCR-ABL1-negative myeloproliferative neoplasms. A single-center experience.

Authors:  Daniele Cattaneo; Cristina Bucelli; Francesca Cavallaro; Dario Consonni; Alessandra Iurlo
Journal:  Blood Cancer J       Date:  2021-11-26       Impact factor: 11.037

7.  Waning of Anti-SARS-CoV-2 Spike Antibody Levels 100 to 200 Days after the Second Dose of the BNT162b2 Vaccine.

Authors:  Hidenori Matsunaga; Hidefumi Takeuchi; Yuichiro Oba; Satoshi Fujimi; Tomoyuki Honda; Keizo Tomonaga
Journal:  Vaccines (Basel)       Date:  2022-01-24

8.  COVID-19: an outbreak in a nursing home in spring 2021.

Authors:  Silvana Castaldi; Stefano Zani; Alessia Lai; Gianguglielmo Zehender; Annalisa Bergna; Catia Rossana Boriello; Danilo Cereda
Journal:  Acta Biomed       Date:  2021-10-07

9.  The effect of waning on antibody levels and memory B cell recall following SARS-CoV-2 infection or vaccination.

Authors:  David Forgacs; Vanessa S Moraes; Hannah B Hanley; Jasper L Gattiker; Alexandria M Jefferson; Ted M Ross
Journal:  bioRxiv       Date:  2022-03-17

Review 10.  The Effect of Smoking on Humoral Response to COVID-19 Vaccines: A Systematic Review of Epidemiological Studies.

Authors:  Pietro Ferrara; Vincenza Gianfredi; Venera Tomaselli; Riccardo Polosa
Journal:  Vaccines (Basel)       Date:  2022-02-16
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.