Literature DB >> 34111577

Quantitative SARS-CoV-2 anti-spike responses to Pfizer-BioNTech and Oxford-AstraZeneca vaccines by previous infection status.

David W Eyre1, Sheila F Lumley2, Jia Wei3, Stuart Cox4, Tim James4, Anita Justice4, Gerald Jesuthasan4, Denise O'Donnell3, Alison Howarth3, Stephanie B Hatch3, Brian D Marsden5, E Yvonne Jones3, David I Stuart3, Daniel Ebner6, Sarah Hoosdally7, Derrick W Crook2, Tim Ea Peto2, Timothy M Walker8, Nicole E Stoesser2, Philippa C Matthews2, Koen B Pouwels9, A Sarah Walker7, Katie Jeffery4.   

Abstract

OBJECTIVES: We investigate determinants of SARS-CoV-2 anti-spike IgG responses in healthcare workers (HCWs) following one or two doses of Pfizer-BioNTech or Oxford-AstraZeneca vaccines.
METHODS: HCWs participating in regular SARS-CoV-2 PCR and antibody testing were invited for serological testing prior to first and second vaccination, and 4 weeks post-vaccination if receiving a 12-week dosing interval. Quantitative post-vaccination anti-spike antibody responses were measured using the Abbott SARS-CoV-2 IgG II Quant assay (detection threshold: ≥50 AU/ml). We used multivariable logistic regression to identify predictors of seropositivity and generalised additive models to track antibody responses over time.
RESULTS: 3570/3610(98.9%) HCWs were seropositive >14 days post-first vaccination and prior to second vaccination, 2706/2720(99.5%) after Pfizer-BioNTech and 864/890(97.1%) following Oxford-AstraZeneca vaccines. Previously infected and younger HCWs were more likely to test seropositive post-first vaccination, with no evidence of differences by sex or ethnicity. All 470 HCWs tested >14 days after second vaccine were seropositive. Quantitative antibody responses were higher after previous infection: median(IQR) >21 days post-first Pfizer-BioNTech 14,604(7644-22,291) AU/ml vs. 1028(564-1985) AU/ml without prior infection (p<0.001). Oxford-AstraZeneca vaccine recipients had lower readings post-first dose compared to Pfizer-BioNTech, with and without previous infection, 10,095(5354-17,096) and 435(203-962) AU/ml respectively (both p<0.001 vs. Pfizer-BioNTech). Antibody responses >21 days post-second Pfizer vaccination in those not previously infected, 10,058 (6408-15,582) AU/ml, were similar to those after prior infection and one vaccine dose.
CONCLUSIONS: SARS-CoV-2 vaccination leads to detectable anti-spike antibodies in nearly all adult HCWs. Whether differences in response impact vaccine efficacy needs further study.
Copyright © 2021. Published by Elsevier Ltd.

Entities:  

Keywords:  Antibody; Quantitative anti-spike antibody; SARS-CoV-2; Serology; Vaccine

Year:  2021        PMID: 34111577      PMCID: PMC8180449          DOI: 10.1016/j.cmi.2021.05.041

Source DB:  PubMed          Journal:  Clin Microbiol Infect        ISSN: 1198-743X            Impact factor:   8.067


Introduction

As vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are rolled out globally, individuals and their clinicians may wish to seek reassurance that vaccination has been ‘effective’ and to understand how long protection is likely to last. Given that current vaccines generate an immune response to viral spike antigens, anti-spike antibody titres, associated with neutralizing activity [[1], [2], [3]], provide a potential surrogate marker of protection. Therefore, understanding the assay- and time-dependent dynamics of post-vaccination anti-spike antibody measurements, how they differ between individuals (e.g. by age, gender, ethnicity, and with comorbidities), and how these findings relate to protection are increasingly important. Multiple vaccines have been developed globally. In the UK, three vaccines have been approved for use [4], with Pfizer–BioNTech BNT162b2 and Oxford–AstraZeneca ChAdOx1 nCoV-19 (AZD1222) the most widely used; to date many individuals have received only one dose following an extension of the dosing interval to 12 weeks to maximize initial population coverage. The dynamics and magnitude of the immune response seen in vaccine immunogenicity trials are assay-dependent, predominantly focus on individuals without previous SARS-CoV-2 infection, and use in-house assays developed early in the pandemic rather than the commercially available, validated assays now accessible to diagnostic laboratories [1,[5], [6], [7], [8]]. Emerging real-world data show that nearly all individuals vaccinated with the mRNA vaccines Pfizer–BioNTech BNT162b2 and Moderna mRNA-1273 seroconvert by 21 days post first vaccine dose, with more rapid seroconversion and higher antibody titres seen in individuals previously infected with SARS-CoV-2 (using in-house ELISAs, and two commercial platforms) [[9], [10], [11], [12]]. Fewer immunogenicity data or comparative data for the Oxford–AstraZeneca vaccine are available outside of clinical trials. No trials have published data on whether measured immune markers correspond to observed vaccine efficacy (i.e. protection from infection, hospitalization or death). Here we compare anti-spike IgG responses, using a widely-available commercial assay, in healthcare workers (HCWs) following one or two vaccine doses with either the Pfizer–BioNTech or the Oxford–AstraZeneca vaccines. We also assess how responses vary between those with and those without previous evidence of infection.

Methods

Setting

Post-vaccination antibody responses were studied in HCWs from Oxford University Hospitals (OUH), four teaching hospitals in Oxfordshire, UK. Data on previous infections were available from symptomatic testing offered to HCWs with new persistent cough, fever ≥37.8°C or anosmia/ageusia from 27th March 2020 by OUH and from community-based PCR-positive test results shared with the hospital by public health agencies and HCWs. In addition, asymptomatic HCWs were offered voluntary nasal and oropharyngeal swab PCR testing every 2 weeks and serological testing every 2 months from 23rd April 2020 [[13], [14], [15]]. Staff were encouraged to attend for serological testing prior to first and second vaccinations, and additionally around 4 weeks post first vaccination where the second vaccine dose was due to be given after 12 weeks. The staff vaccination programme began on 8th December 2020, starting with the Pfizer–BioNTech BNT162b2 vaccine, with Oxford–AstraZeneca ChAdOx1 nCoV-19 added from 4th January 2021 and predominately provided to staff at one acute hospital. Some HCWs received the Oxford–AstraZeneca vaccine in clinical trials beginning 23rd April 2020 and were included following unblinding if receiving active vaccine.

Laboratory assays

PCR tests were performed by the OUH and community test centres using a range of assays (see Supplementary Material). Post-vaccination anti-spike IgG responses were assessed using the Abbott SARS-CoV-2 IgG II Quant antibody test targeting the spike receptor binding domain (RBD), with results available up to 11th March 2021. The assay cut-off is ≥ 50 AU/mL, with linear quantification of detected results from 50 to 40 000 AU/mL reported by the manufacturer (and confirmed by serial dilution of monoclonal antibodies: Supplementary Material Fig. S1). Pre-vaccination antibody status was assessed using the Abbott anti-nucleocapsid IgG assay (defining readings of ≥1.4 as detected), the Abbott anti-spike IgG, and an anti-trimeric spike IgG ELISA [16] (detected: ≥8 million units).

Statistical analysis

Staff were grouped into those with evidence of prior infection—i.e. any positive anti-spike or anti-nucleocapsid antibody test or positive PCR prior to first vaccination—and those without (including staff with no previous serology or PCR testing). Proportions that were anti-spike-positive were estimated by week post first vaccination, censoring follow-up at the second vaccination, and by week post second vaccination. We used multivariable logistic regression to identify predictors of any positive anti-spike antibody result ≥15 days post first vaccination (but before a second vaccination), considering the vaccine given, previous infection status, age, sex, and ethnicity. We modelled quantitative antibody titres by day since first and second vaccination using generalized additive models, adjusting for age and fitting separate models by vaccine and prior infection status (details in the Supplementary Material).

Ethics statement

Deidentified data were obtained from the Infections in Oxfordshire Research Database which has generic Research Ethics Committee, Health Research Authority and Confidentiality Advisory Group approvals (19/SC/0403, 19/CAG/0144).

Results

Post-vaccination quantitative anti-spike results were available following either a first or a second dose or both for 4315 HCWs; 3377 antibody measurements were available (in 2863 HCWs) following a first dose of Pfizer–BioNTech and 1108 (992 HCWs) following a first dose of Oxford–AstraZeneca vaccine. The demographics and occupational roles of those receiving the Pfizer–BioNTech or Oxford–AstraZeneca were broadly similar; a slightly lower proportion of Pfizer–BioNTech recipients were female (81% versus 85%) and median ages were similar (41 versus 42 years) (Supplementary Material Table S1). Following a second dose of each vaccine, 560 (483 HCWs) and 25 (21 HCWs) anti-spike results respectively were available: median (IQR) dosing interval 24 (21–28) days.

Antibody positivity post first and second vaccination

Anti-spike antibody responses rose in the 14 days post first vaccination, such that from day 15 onward nearly 100% seroconversion was seen regardless of vaccine received or previous infection status (Fig. 1). Overall, 3570/3610 HCWs (98.9%) were seropositive when tested >14 days post first vaccination and prior to second vaccination, 2706/2720 (99.5%) of those receiving the Pfizer–BioNTech vaccine versus 864/890 (97.1%) receiving the Oxford–AstraZeneca vaccine.
Fig. 1

Anti-spike IgG-positive results by days since first vaccination, by prior infection status and vaccine received. Tests performed after a second dose of vaccine are not included. The number of tests performed and positive and the resulting percentage is shown under each bar.

Anti-spike IgG-positive results by days since first vaccination, by prior infection status and vaccine received. Tests performed after a second dose of vaccine are not included. The number of tests performed and positive and the resulting percentage is shown under each bar. In a regression model of responses >14 days post first vaccination and before second vaccination (Table 1), previously infected HCWs were independently more likely to test seropositive (in part reflecting that previously positive serology was one of the criteria for assessing previous infection: adjusted odds ratio (aOR) 6.99, 95%CI 0.95–51.3, p 0.06) and older HCWs were less likely (aOR per 10 years older 0.66, 95%CI 0.51–0.86, p 0.002). There was no evidence of an effect of sex or ethnicity. Oxford–AstraZeneca vaccine recipients were less likely than Pfizer–BioNTech recipients to seroconvert after their first vaccine dose (aOR 0.17, 95%CI 0.09–0.33, p < 0.001). However, the absolute probability of seroconversion remained near 100% across most groups, with the exception of older HCWs receiving the Oxford–AstraZeneca vaccine: e.g. a 60-year-old white female HCW had a 98.8% (95%CI 97.7–99.4%) chance of seroconversion with Pfizer–BioNTech and 93.2% (95%CI 89.0–95.9%) with Oxford–AstraZeneca post first dose (Fig. 2, Supplementary Material Fig. S2).
Table 1

Factors associated with seropositivity ≥15 days post first vaccination: univariable and multivariable logistic regressiona

VariableSummary
Univariable
Multivariable
Anti-spike IgG not detected, n = 40bAnti-spike IgG detected, n = 3570bUnadjusted odds ratio95%CIp valueAdjusted odds ratio95%CIp value
Previous infection
 No prior evidence of infection39 (1.3%)3070 (99%)
 Prior PCR or antibody positive1 (0.2%)500 (100%)6.220.85, 45.40.0716.990.95, 51.30.056
Vaccine
 Pfizer-BioNTech14 (0.5%)2706 (99%)
 Oxford-AstraZeneca26 (2.9%)864 (97%)0.170.09, 0.33<0.0010.170.09, 0.33<0.001
Sex
 Female33 (1.1%)2921 (99%)
 Male7 (1.1%)648 (99%)1.010.44, 2.280.990.770.33, 1.790.55
 Prefer not to say0 (0%)1 (100%)
Ethnic group
 White37 (1.3%)2774 (99%)
 Asian2 (0.4%)480 (100%)3.200.77, 13.30.112.500.59, 10.60.21
 Black1 (1.1%)91 (99%)1.210.16, 8.950.851.340.18, 10.00.78
 Other0 (0%)225 (100%)
Age49 (39, 58)41 (30, 51)
Age, per 10 year older0.640.49, 0.83<0.0010.660.51, 0.860.002

Test results obtained after a second vaccination are not included. Those of ‘Other’ ethnicity or non-disclosed sex are omitted from the regression models as all tested seropositive. Of 501 healthcare workers (HCWs) with evidence of prior infection, 246 had a prior positive PCR result (median (IQR) 235 (46–263) days before first vaccination); of the remainder, 168 had detected anti-nucleocapsid IgG antibodies and 229 detected anti-spike IgG antibodies prior to vaccination (first detected: median (IQR) 231 (99–248) days prior to first vaccination).

n (%); median (IQR).

Fig. 2

The relationship between vaccine, age and probability of testing anti-spike IgG seropositive >14 days post first vaccination. Model predictions are shown using reference categories for sex and ethnicity (white, female, respectively) and in those without prior evidence of infection.

Factors associated with seropositivity ≥15 days post first vaccination: univariable and multivariable logistic regressiona Test results obtained after a second vaccination are not included. Those of ‘Other’ ethnicity or non-disclosed sex are omitted from the regression models as all tested seropositive. Of 501 healthcare workers (HCWs) with evidence of prior infection, 246 had a prior positive PCR result (median (IQR) 235 (46–263) days before first vaccination); of the remainder, 168 had detected anti-nucleocapsid IgG antibodies and 229 detected anti-spike IgG antibodies prior to vaccination (first detected: median (IQR) 231 (99–248) days prior to first vaccination). n (%); median (IQR). The relationship between vaccine, age and probability of testing anti-spike IgG seropositive >14 days post first vaccination. Model predictions are shown using reference categories for sex and ethnicity (white, female, respectively) and in those without prior evidence of infection. All 448 HCWs with an antibody test >14 days after their second Pfizer–BioNTech vaccine were seropositive. Relatively few HCWs were vaccinated twice with the Oxford–AstraZeneca vaccine, but all 22 assayed >14 days post second dose were seropositive (Supplementary Material Fig. S3).

Quantitative antibody readings before and after vaccination

Pre-vaccination quantitative antibody levels were available in 67 previously infected HCWs and 169 without evidence of prior infection; median (IQR) readings were 334 (103–1070) and 0.1 (0–1.4) AU/mL respectively. The median (IQR) time from first evidence of previous infection (first positive PCR or serological test) in those previously infected was 31 (0–246) days, with no evidence of association with antibody levels (Spearman's ρ = –0.09, p 0.45; Supplementary Material Fig. S4). Quantitative vaccine readings rose during the 3 weeks post first vaccination before plateauing (Fig. 3). Those with previous infection developed substantially higher titres. In those receiving the Pfizer–BioNTech vaccine, the median (IQR) anti-spike IgG reading >21 days post first vaccine dose was 1028 (564–1985) AU/mL without evidence of prior infection and 14 604 (7644–22 291) AU/mL with (Kruskal–Wallis p < 0.001). Those receiving the AstraZeneca vaccine had lower titres compared to the Pfizer–BioNTech, without and with previous infection 435 (203–962) AU/mL and 10 095 (5354–17 096) AU/mL respectively (p < 0.001 versus Pfizer–BioNTech and within AstraZeneca). In previously uninfected HCWs, after Pfizer–BioNTech vaccination higher titres were seen in younger age groups (Fig. 3C). Otherwise, there was no clear relationship between age and post-vaccination antibody readings.
Fig. 3

Modelled quantitative anti-spike IgG responses following first vaccination by vaccine and previous infection status. Panels A and B show responses in previously infected healthcare workers (HCWs) and panels C and D HCWs without evidence of previous infection. Panels A and C show data for those receiving Pfizer–BioNTech vaccine and panels B and D Oxford–AstraZeneca vaccine. Model predictions are shown at three example ages: 30, 45, and 60 years. The shaded ribbon shows the 95% confidence interval. Values are plotted from 7 days prior to vaccination to illustrate baseline values (models are fitted using data from 28 days prior to vaccination onwards).

Modelled quantitative anti-spike IgG responses following first vaccination by vaccine and previous infection status. Panels A and B show responses in previously infected healthcare workers (HCWs) and panels C and D HCWs without evidence of previous infection. Panels A and C show data for those receiving Pfizer–BioNTech vaccine and panels B and D Oxford–AstraZeneca vaccine. Model predictions are shown at three example ages: 30, 45, and 60 years. The shaded ribbon shows the 95% confidence interval. Values are plotted from 7 days prior to vaccination to illustrate baseline values (models are fitted using data from 28 days prior to vaccination onwards). In HCWs receiving a second Pfizer–BioNTech vaccine dose, antibodies were boosted in previously uninfected individuals, with the highest levels in younger HCWs, but with some waning of responses from day 20 to 60 post vaccination (Fig. 4). Median (IQR) anti-spike IgG readings >21 days post second vaccine dose were 10 058 (6408–15 582) AU/mL without evidence of previous infection and 18 047 (10 884–22 413) AU/mL with such evidence. Hence, anti-spike readings post second vaccination in those without evidence of previous infection (Fig. 4B) were similar to those seen after one vaccination in previously infected HCWs (Figs. 3A,B).
Fig. 4

Modelled quantitative anti-spike IgG titres following second Pfizer–BioNTech vaccination by previous infection status. Panel A shows those who were previous infected (including those previously infected at baseline or testing PCR-positive between vaccines) and panel B those who had no evidence of previous infection. Model predictions are shown at three example ages: 30, 45, and 60 years. The shaded ribbon shows the 95% confidence interval. Data were included in each model from 7 days before the second vaccination to allow pre-vaccination levels to be fitted correctly.

Modelled quantitative anti-spike IgG titres following second Pfizer–BioNTech vaccination by previous infection status. Panel A shows those who were previous infected (including those previously infected at baseline or testing PCR-positive between vaccines) and panel B those who had no evidence of previous infection. Model predictions are shown at three example ages: 30, 45, and 60 years. The shaded ribbon shows the 95% confidence interval. Data were included in each model from 7 days before the second vaccination to allow pre-vaccination levels to be fitted correctly.

Infections post vaccination

Of 4069 HCWs who had an anti-spike IgG measurement >14 days after first vaccination, including those assessed after a second vaccination, only eight HCWs had a subsequent positive PCR test after their antibody test (median (range) 47 (37–70) days post first vaccination). Therefore, there was very limited power to detect any relationship between protection and quantitative antibody readings. The median (IQR) (range) maximum post vaccination, pre-infection antibody measurement in those infected was 1004 (733–1958) (644–8151) AU/mL and 1361 (580–4612) (0–40 000) AU/mL in those not (Kruskal–Wallis p 0.78).

Discussion

In this cohort of >4000 HCWs, predominantly healthy adults of working age, 98.9% developed a positive anti-spike IgG antibody test by > 14 days post-first vaccination. HCWs in their 50s and 60s were less likely to seroconvert than younger HCWs, but absolute rates of seroconversion remained high in all groups. Fewer HCWs were seropositive after a first dose of Oxford–AstraZeneca compared to Pfizer–BioNTech vaccine, with the difference more marked as age increased. Following a first dose, Pfizer–BioNTech vaccine resulted in higher antibody readings than the Oxford–AstraZeneca vaccine in both those with and those without previous infection, over two-fold higher if not previously infected. All HCWs assessed >14 days post second vaccination tested seropositive, although this included only 22 Oxford–AstraZeneca recipients. The biggest determinant of the magnitude of quantitative antibody responses post first vaccine dose was previous infection, with median readings more than ten-fold higher with previous infection for both vaccines compared to without previous infection. Antibody levels after prior infection and a single vaccine dose were similar to those achieved after two vaccine doses. Taken together with evidence that natural infection without vaccination offers similar protection from infection to two doses of vaccine [17], these data support prioritizing uninfected individuals where vaccine-sparing strategies are required. It may be possible to delay the first vaccination in previously infected healthy individuals, and studies to assess whether one dose of vaccine may be sufficient where there is robust serological evidence of previous infection could be considered. We found lower rates of seroconversion in older HCWs (~60 years). The Pfizer–BioNTech trial reported that neutralizing titres and S1-binding antibody concentrations were higher in younger (18–55 years) versus older (56–85 years) participants [6]; however, high seroconversion rates by S-binding antibodies were observed in Oxford–AstraZeneca trials involving older adults (≥65 years) after their first (97.3%, n = 149, 95%CI 93.3–99.3) and second doses (100.0%, n = 156, 95%CI 97.7–100.0) [8]. Although we observed differences in the proportion seroconverting and the magnitude of the response following Pfizer–BioNTech and Oxford–AstraZeneca vaccines, this should not be taken alone as evidence that one vaccine is likely to be more efficacious than the other. Data from the UK's national COVID Infection Survey demonstrate similar vaccine efficacy following a first dose of both Pfizer–BioNTech and Oxford–AstraZeneca vaccines [17]. Anti-spike antibody titres are associated with neutralizing activity [[1], [2], [3]], but the degree to which binary or qualitative anti-spike results are a surrogate for protection against infection, or other endpoints of interest such as hospitalization, death, or onward transmission, remains unclear. Our study was insufficiently powered to determine the relationship between antibody titres and protection, with only eight HCWs infected after a post-vaccine antibody test. However, all eight had positive antibody results with readings ranging from 644 to 8151 AU/mL, such that much of the range of positive anti-spike readings recorded in the study is not associated with total protection from infection. Although nearly all staff seroconverted post first dose, we have previously shown single-dose vaccine effectiveness against any positive PCR test to be 64% in this cohort of HCWs, and 90% following two doses [18]. This discrepancy between seroconversion and protection against reinfection, particularly post first dose, is similar to that reported in Oxford–AstraZeneca trial participants; 98.5% seroconverted 28 days post first dose, but pooled vaccine efficacy post first dose was 76.0% (95%CI 59.3–86.9%) [19]. Seroconversion rates are not reported in the Pfizer–BioNTech trial. This discrepancy may in part be because the protective anti-spike threshold may differ from the assay positive/negative threshold, and also due to variation in protection mediated by other mechanisms. Further large-scale studies will be required to determine whether quantitative antibody levels can act as a surrogate marker for protection. Antibody testing post vaccination may also play other roles. It may be useful to identify individuals in high-risk groups who do not seroconvert [20], who may remain at higher risk of infection, and may benefit from tailored advice around social contact, and, depending on underlying comorbidity, from further vaccination doses e.g. if immune reconstitution is expected. Limitations of this study include the use of a single assay to quantify post-vaccination anti-spike antibody levels; however, as it is commercially-available and well calibrated (Supplementary Material Fig. S1), results should be generalizable. Our focus on a defined group (HCWs) is both a strength and a weakness, and we are not able to assess variations in vaccine response in children or those >65 years. Additional data on post-vaccination antibody responses in older individuals, at highest risk of adverse outcomes from SARS-CoV-2 infection, is particularly important. Our cohort was also 76% female and predominantly of white ethnicity. We did not assess neutralizing antibodies or T-cell responses, both of which reflect vaccine response and may vary by vaccine. However, as the anti-spike assay used targets the RBD of SARS-CoV-2, quantitative antibody readings are likely to be indicative of neutralizing activity [[1], [2], [3]]. Studying T-cell responses at scale is more logistically challenging but is the subject of several ongoing studies, such as the PITCH study in UK healthcare workers. Further work will be required to determine the duration of antibody responses and to compare antibody responses following two doses of Oxford–AstraZeneca (underrepresented in this current study) with two doses of Pfizer–BioNTech vaccine. In summary, vaccination leads to detectable anti-spike antibodies in nearly all healthy adult HCWs. Markedly higher responses to vaccine are seen after previous infection; single dose or delayed vaccination could be considered where vaccine sparing is needed in healthy individuals with robust evidence of previous infection. Some caution is required with interpretation of antibody results and any subsequent behaviour change, as despite good protection from vaccination, seroconversion with high antibody levels still does not afford absolute protection from infection. Large-scale studies will be required to assess how protection from infection varies by antibody titre.

Author contributions

Conceptualization: DWE, SFL, DWC, TEAP, TMW, NEW, PCM, KBP, ASW and KJ. Methodology: DWE, JW, KBP and ASW. Formal analysis: DWE. Investigation: SC, TJ, AJ, GJ, DOD, AH, SBH, BDM and DE. Writing – original draft: DWE and SFL. Writing – review & editing: all authors. Visualization: DWE. Supervision: DWE, EYJ, DIS, DE, SH, DWC, TEAP, TMW, ASW and KJ. Project administration: SH.

Transparency declaration

DWE declares lecture fees from , outside the submitted work. No other author has a conflict of interest to declare. DWE is a Robertson Foundation Fellow and an NIHR Oxford BRC Senior Fellow. SFL is a Wellcome Trust Clinical Research Fellow. DIS is supported by the Medical Research Council (MR/N00065X/1). PCM holds a Wellcome Intermediate Fellowship (110110/Z/15/Z). BDM is supported by the Kennedy Trust for Rheumatology Research. TMW is a Wellcome Trust Clinical Career Development Fellow (214560/Z/18/Z). ASW is an NIHR Senior Investigator. This work was supported by the UK Government's Department of Health and Social Care. This work was also supported by the National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Healthcare Associated Infections and Antimicrobial Resistance at Oxford University in partnership with Public Health England (PHE) (NIHR200915), the NIHR Biomedical Research Centre, Oxford, and benefactions from the Huo Family Foundation and Andrew Spokes. The views expressed in this publication are those of the authors and not necessarily those of the NHS, the National Institute for Health Research, the Department of Health, or Public Health England. This study is affiliated with Public Health England's SARS-CoV-2 Immunity & Reinfection EvaluatioN (SIREN) study.
  13 in total

1.  Binding and Neutralization Antibody Titers After a Single Vaccine Dose in Health Care Workers Previously Infected With SARS-CoV-2.

Authors:  Saman Saadat; Zahra Rikhtegaran Tehrani; James Logue; Michelle Newman; Matthew B Frieman; Anthony D Harris; Mohammad M Sajadi
Journal:  JAMA       Date:  2021-04-13       Impact factor: 56.272

2.  Safety and immunogenicity of the ChAdOx1 nCoV-19 vaccine against SARS-CoV-2: a preliminary report of a phase 1/2, single-blind, randomised controlled trial.

Authors:  Pedro M Folegatti; Katie J Ewer; Parvinder K Aley; Brian Angus; Stephan Becker; Sandra Belij-Rammerstorfer; Duncan Bellamy; Sagida Bibi; Mustapha Bittaye; Elizabeth A Clutterbuck; Christina Dold; Saul N Faust; Adam Finn; Amy L Flaxman; Bassam Hallis; Paul Heath; Daniel Jenkin; Rajeka Lazarus; Rebecca Makinson; Angela M Minassian; Katrina M Pollock; Maheshi Ramasamy; Hannah Robinson; Matthew Snape; Richard Tarrant; Merryn Voysey; Catherine Green; Alexander D Douglas; Adrian V S Hill; Teresa Lambe; Sarah C Gilbert; Andrew J Pollard
Journal:  Lancet       Date:  2020-07-20       Impact factor: 79.321

3.  The Duration, Dynamics, and Determinants of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Antibody Responses in Individual Healthcare Workers.

Authors:  Sheila F Lumley; Jia Wei; Denise O'Donnell; Nicole E Stoesser; Philippa C Matthews; Alison Howarth; Stephanie B Hatch; Brian D Marsden; Stuart Cox; Tim James; Liam J Peck; Thomas G Ritter; Zoe de Toledo; Richard J Cornall; E Yvonne Jones; David I Stuart; Gavin Screaton; Daniel Ebner; Sarah Hoosdally; Derrick W Crook; Christopher P Conlon; Koen B Pouwels; A Sarah Walker; Tim E A Peto; Timothy M Walker; Katie Jeffery; David W Eyre
Journal:  Clin Infect Dis       Date:  2021-08-02       Impact factor: 9.079

4.  Antibody response to first BNT162b2 dose in previously SARS-CoV-2-infected individuals.

Authors:  Charlotte Manisty; Ashley D Otter; Thomas A Treibel; Áine McKnight; Daniel M Altmann; Timothy Brooks; Mahdad Noursadeghi; Rosemary J Boyton; Amanda Semper; James C Moon
Journal:  Lancet       Date:  2021-02-25       Impact factor: 79.321

5.  Safety and immunogenicity of ChAdOx1 nCoV-19 vaccine administered in a prime-boost regimen in young and old adults (COV002): a single-blind, randomised, controlled, phase 2/3 trial.

Authors:  Maheshi N Ramasamy; Angela M Minassian; Katie J Ewer; Amy L Flaxman; Pedro M Folegatti; Daniel R Owens; Merryn Voysey; Parvinder K Aley; Brian Angus; Gavin Babbage; Sandra Belij-Rammerstorfer; Lisa Berry; Sagida Bibi; Mustapha Bittaye; Katrina Cathie; Harry Chappell; Sue Charlton; Paola Cicconi; Elizabeth A Clutterbuck; Rachel Colin-Jones; Christina Dold; Katherine R W Emary; Sofiya Fedosyuk; Michelle Fuskova; Diane Gbesemete; Catherine Green; Bassam Hallis; Mimi M Hou; Daniel Jenkin; Carina C D Joe; Elizabeth J Kelly; Simon Kerridge; Alison M Lawrie; Alice Lelliott; May N Lwin; Rebecca Makinson; Natalie G Marchevsky; Yama Mujadidi; Alasdair P S Munro; Mihaela Pacurar; Emma Plested; Jade Rand; Thomas Rawlinson; Sarah Rhead; Hannah Robinson; Adam J Ritchie; Amy L Ross-Russell; Stephen Saich; Nisha Singh; Catherine C Smith; Matthew D Snape; Rinn Song; Richard Tarrant; Yrene Themistocleous; Kelly M Thomas; Tonya L Villafana; Sarah C Warren; Marion E E Watson; Alexander D Douglas; Adrian V S Hill; Teresa Lambe; Sarah C Gilbert; Saul N Faust; Andrew J Pollard
Journal:  Lancet       Date:  2020-11-19       Impact factor: 79.321

6.  Differential occupational risks to healthcare workers from SARS-CoV-2 observed during a prospective observational study.

Authors:  Katie Jeffery; Timothy M Walker; David W Eyre; Sheila F Lumley; Denise O'Donnell; Mark Campbell; Elizabeth Sims; Elaine Lawson; Fiona Warren; Tim James; Stuart Cox; Alison Howarth; George Doherty; Stephanie B Hatch; James Kavanagh; Kevin K Chau; Philip W Fowler; Jeremy Swann; Denis Volk; Fan Yang-Turner; Nicole Stoesser; Philippa C Matthews; Maria Dudareva; Timothy Davies; Robert H Shaw; Leon Peto; Louise O Downs; Alexander Vogt; Ali Amini; Bernadette C Young; Philip George Drennan; Alexander J Mentzer; Donal T Skelly; Fredrik Karpe; Matt J Neville; Monique Andersson; Andrew J Brent; Nicola Jones; Lucas Martins Ferreira; Thomas Christott; Brian D Marsden; Sarah Hoosdally; Richard Cornall; Derrick W Crook; David I Stuart; Gavin Screaton; Timothy Ea Peto; Bruno Holthof; Anne-Marie O'Donnell; Daniel Ebner; Christopher P Conlon
Journal:  Elife       Date:  2020-08-21       Impact factor: 8.713

7.  Single-dose administration and the influence of the timing of the booster dose on immunogenicity and efficacy of ChAdOx1 nCoV-19 (AZD1222) vaccine: a pooled analysis of four randomised trials.

Authors:  Merryn Voysey; Sue Ann Costa Clemens; Shabir A Madhi; Lily Y Weckx; Pedro M Folegatti; Parvinder K Aley; Brian Angus; Vicky L Baillie; Shaun L Barnabas; Qasim E Bhorat; Sagida Bibi; Carmen Briner; Paola Cicconi; Elizabeth A Clutterbuck; Andrea M Collins; Clare L Cutland; Thomas C Darton; Keertan Dheda; Christina Dold; Christopher J A Duncan; Katherine R W Emary; Katie J Ewer; Amy Flaxman; Lee Fairlie; Saul N Faust; Shuo Feng; Daniela M Ferreira; Adam Finn; Eva Galiza; Anna L Goodman; Catherine M Green; Christopher A Green; Melanie Greenland; Catherine Hill; Helen C Hill; Ian Hirsch; Alane Izu; Daniel Jenkin; Carina C D Joe; Simon Kerridge; Anthonet Koen; Gaurav Kwatra; Rajeka Lazarus; Vincenzo Libri; Patrick J Lillie; Natalie G Marchevsky; Richard P Marshall; Ana V A Mendes; Eveline P Milan; Angela M Minassian; Alastair McGregor; Yama F Mujadidi; Anusha Nana; Sherman D Padayachee; Daniel J Phillips; Ana Pittella; Emma Plested; Katrina M Pollock; Maheshi N Ramasamy; Adam J Ritchie; Hannah Robinson; Alexandre V Schwarzbold; Andrew Smith; Rinn Song; Matthew D Snape; Eduardo Sprinz; Rebecca K Sutherland; Emma C Thomson; M Estée Török; Mark Toshner; David P J Turner; Johan Vekemans; Tonya L Villafana; Thomas White; Christopher J Williams; Alexander D Douglas; Adrian V S Hill; Teresa Lambe; Sarah C Gilbert; Andrew J Pollard
Journal:  Lancet       Date:  2021-02-19       Impact factor: 79.321

8.  Robust neutralizing antibodies to SARS-CoV-2 infection persist for months.

Authors:  Ania Wajnberg; Fatima Amanat; Adolfo Firpo; Deena R Altman; Mark J Bailey; Mayce Mansour; Meagan McMahon; Philip Meade; Damodara Rao Mendu; Kimberly Muellers; Daniel Stadlbauer; Kimberly Stone; Shirin Strohmeier; Viviana Simon; Judith Aberg; David L Reich; Florian Krammer; Carlos Cordon-Cardo
Journal:  Science       Date:  2020-10-28       Impact factor: 47.728

9.  Antibody Status and Incidence of SARS-CoV-2 Infection in Health Care Workers.

Authors:  Sheila F Lumley; Denise O'Donnell; Nicole E Stoesser; Philippa C Matthews; Alison Howarth; Stephanie B Hatch; Brian D Marsden; Stuart Cox; Tim James; Fiona Warren; Liam J Peck; Thomas G Ritter; Zoe de Toledo; Laura Warren; David Axten; Richard J Cornall; E Yvonne Jones; David I Stuart; Gavin Screaton; Daniel Ebner; Sarah Hoosdally; Meera Chand; Derrick W Crook; Anne-Marie O'Donnell; Christopher P Conlon; Koen B Pouwels; A Sarah Walker; Tim E A Peto; Susan Hopkins; Timothy M Walker; Katie Jeffery; David W Eyre
Journal:  N Engl J Med       Date:  2020-12-23       Impact factor: 91.245

10.  Antibody Responses in Seropositive Persons after a Single Dose of SARS-CoV-2 mRNA Vaccine.

Authors:  Florian Krammer; Komal Srivastava; Hala Alshammary; Angela A Amoako; Mahmoud H Awawda; Katherine F Beach; Maria C Bermúdez-González; Dominika A Bielak; Juan M Carreño; Rachel L Chernet; Lily Q Eaker; Emily D Ferreri; Daniel L Floda; Charles R Gleason; Joshua Z Hamburger; Kaijun Jiang; Giulio Kleiner; Denise Jurczyszak; Julia C Matthews; Wanni A Mendez; Ismail Nabeel; Lubbertus C F Mulder; Ariel J Raskin; Kayla T Russo; Ashley-Beathrese T Salimbangon; Miti Saksena; Amber S Shin; Gagandeep Singh; Levy A Sominsky; Daniel Stadlbauer; Ania Wajnberg; Viviana Simon
Journal:  N Engl J Med       Date:  2021-03-10       Impact factor: 91.245

View more
  44 in total

Review 1.  Counting on COVID-19 Vaccine: Insights into the Current Strategies, Progress and Future Challenges.

Authors:  Ramesh Kandimalla; Pratik Chakraborty; Jayalakshmi Vallamkondu; Anupama Chaudhary; Sonalinandini Samanta; P Hemachandra Reddy; Vincenzo De Feo; Saikat Dewanjee
Journal:  Biomedicines       Date:  2021-11-22

2.  Immunogenicity of BNT162b2 COVID-19 vaccine in New Zealand adults.

Authors:  Frances H Priddy; Michael Williams; Simon Carson; Brittany Lavender; Julia Mathieson; Chris Frampton; Nicole J Moreland; Reuben McGregor; Georgia Williams; Maia Brewerton; Katie Gell; James Ussher; Graham Le Gros
Journal:  Vaccine       Date:  2022-07-12       Impact factor: 4.169

3.  Effectiveness of the ChAdOx1 nCoV-19 Coronavirus Vaccine (CovishieldTM) in Preventing SARS-CoV2 Infection, Chennai, Tamil Nadu, India, 2021.

Authors:  Sharan Murali; Manikandanesan Sakthivel; Kamaraj Pattabi; Vettrichelvan Venkatasamy; Jeromie Wesley Vivian Thangaraj; Anita Shete; Alby John Varghese; Jaganathan Arjun; Chethrapilly Purushothaman Girish Kumar; Pragya D Yadav; Rima Sahay; Triparna Majumdar; Manisha Dudhmal; Azhagendran Sivalingam; Sudha Rani Dhanapal; Augustine Durai Samy; Vijayaprabha Radhakrishnan; Murali Mohan Muni Krishnaiah; Suresh Arunachalam; Punita Muni Krishna Gandhi; Elavarasu Govindasamy; Prabhakaran Chinnappan; Dhana Priya Vadhani Sekar; Prakash Marappan; Ezhil Pounraj; Parasuraman Ganeshkumar; Murugesan Jagadeesan; Manish Narnaware; Gagandeep Singh Bedi; Prabhdeep Kaur; Manoj Murhekar
Journal:  Vaccines (Basel)       Date:  2022-06-17

4.  Serological Response to SARS-CoV-2 Messenger RNA Vaccine: Real-World Evidence from Italian Adult Population.

Authors:  Rosa Papadopoli; Caterina De Sarro; Caterina Palleria; Luca Gallelli; Claudia Pileggi; Giovambattista De Sarro
Journal:  Vaccines (Basel)       Date:  2021-12-17

5.  Long-term analysis of antibodies elicited by SPUTNIK V: A prospective cohort study in Tucumán, Argentina.

Authors:  Rossana Elena Chahla; Rodrigo Hernán Tomas-Grau; Silvia Inés Cazorla; Diego Ploper; Esteban Vera Pingitore; Mónica Aguilar López; Patricia Aznar; María Elena Alcorta; Eva María Del Mar Vélez; Agustín Stagnetto; César Luís Ávila; Carolina Maldonado-Galdeano; Sergio Benjamín Socias; Dar Heinze; Silvia Adriana Navarro; Conrado Juan Llapur; Dardo Costa; Isolina Flores; Alexis Edelstein; Shreyas Kowdle; Claudia Perandones; Benhur Lee; Gabriela Apfelbaum; Raúl Mostoslavsky; Gustavo Mostoslavsky; Gabriela Perdigón; Rosana Nieves Chehín
Journal:  Lancet Reg Health Am       Date:  2021-11-20

6.  Decline of Anti-SARS-CoV-2 IgG Antibody Levels 6 Months after Complete BNT162b2 Vaccination in Healthcare Workers to Levels Observed Following the First Vaccine Dose.

Authors:  Oktavija Đaković Rode; Kristian Bodulić; Sanja Zember; Nataša Cetinić Balent; Anđa Novokmet; Marija Čulo; Željka Rašić; Radojka Mikulić; Alemka Markotić
Journal:  Vaccines (Basel)       Date:  2022-01-20

7.  Antibody responses to SARS-CoV-2 vaccines in 45,965 adults from the general population of the United Kingdom.

Authors:  Koen B Pouwels; David W Eyre; A Sarah Walker; Jia Wei; Nicole Stoesser; Philippa C Matthews; Daniel Ayoubkhani; Ruth Studley; Iain Bell; John I Bell; John N Newton; Jeremy Farrar; Ian Diamond; Emma Rourke; Alison Howarth; Brian D Marsden; Sarah Hoosdally; E Yvonne Jones; David I Stuart; Derrick W Crook; Tim E A Peto
Journal:  Nat Microbiol       Date:  2021-07-21       Impact factor: 17.745

8.  SARS-CoV-2 Receptor-Binding Domain IgG Response to AstraZeneca AZD1222 COVID-19 Vaccination, Jamaica.

Authors:  Ynolde E Leys; Magdalene Nwokocha; Jerome P Walker; Tiffany R Butterfield; Velesha D Frater; Tamara K Thompson; Mark Anderson; Gavin A Cloherty; Joshua J Anzinger
Journal:  Am J Trop Med Hyg       Date:  2022-03-23       Impact factor: 3.707

9.  Initial SARS-CoV-2 vaccination response can predict booster response for BNT162b2 but not for AZD1222.

Authors:  Thomas Perkmann; Nicole Perkmann-Nagele; Patrick Mucher; Astrid Radakovics; Manuela Repl; Thomas Koller; Galateja Jordakieva; Oswald F Wagner; Christoph J Binder; Helmuth Haslacher
Journal:  Int J Infect Dis       Date:  2021-07-28       Impact factor: 3.623

10.  Impaired antibody response to COVID-19 vaccination in patients with chronic myeloid neoplasms.

Authors:  Onima Chowdhury; Hannah Bruguier; Garry Mallett; Nikolaos Sousos; Kirsty Crozier; Caroline Allman; David Eyre; Sheila Lumley; Marie Strickland; Christina S Karali; Lauren Murphy; Alex Sternberg; Katie Jeffery; Adam J Mead; Andy Peniket; Bethan Psaila
Journal:  Br J Haematol       Date:  2021-06-24       Impact factor: 6.998

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.