Literature DB >> 35240945

Persistence of immunogenicity, contributing factors of an immune response, and reactogenicities after a single dose of the ChAdOx1 (AZD1222) COVID-19 vaccine in the Thai population.

Kriangkrai Tawinprai1, Taweegrit Siripongboonsitti1, Thachanun Porntharukchareon1, Bothamai Dechates1, Harnphadungkit Monprach1, Gaidganok Sornsamdang2, Kasiruck Wittayasak3, Kamonwan Soonklang3, Nithi Mahanonda1.   

Abstract

INTRODUCTION: Due to the vaccine's short supply and the efficacy of a single dose of the ChAdOx1 (AZD1222) vaccine, many governments delayed the interval between prime and boost dose from 4 to 8-12 weeks. However, the waning of immune response in this period is a concern. This study evaluated the durability, contributing factors of anti-RBD antibody concentration, and reactogenicities after the single dose of AZD1222 vaccine in the Thai population.
METHODS: This was a single-center, prospective cohort study at Chulabhorn Hospital, Bangkok, Thailand. Individuals 18 years or older who were negative for anti-SARS-CoV-2 antibody were eligible. Anti- receptor-binding domain antibody concentrations were tested at least three weeks after the first vaccination and immediately before the second dose of vaccine. Information on reactogenicities was obtained via a questionnaire sent by a short message service.
RESULTS: Anti-RBD Antibody concentration at 2 and 3 months post-vaccination were significantly higher than at 1 months post-vaccination (20.14 BAU/mL (95%CI; 16.37, 24.77) at 1 month, 48.08 BAU/mL (95%CI; 42.76, 54.08) at 2 month, and 65.01 BAU/mL (95%CI; 58.88,71.61) at 3 month). Adverse events occurred in approximately 60% of participants. Factors influencing vaccine immunogenicity include age, sex, the time elapsed from the first dose of vaccine, and underlying disease with diabetes and hematologic disease.
CONCLUSION: A single dose of AZD1222 could elicit immune responses that did not decline within three months in Thai individuals. These data support the public health strategy of a delay between the prime and boost dose of AZD1222 of 4 to 12 weeks.

Entities:  

Keywords:  AZD1222; COVID-19 vaccine; ChAdOx1; immunogenicity; safety; single-dose vaccine

Mesh:

Substances:

Year:  2022        PMID: 35240945      PMCID: PMC8935462          DOI: 10.1080/21645515.2022.2035573

Source DB:  PubMed          Journal:  Hum Vaccin Immunother        ISSN: 2164-5515            Impact factor:   3.452


Introduction

All three arms of adaptive immunity, including antibody responses, CD4+ T cell responses, and CD8+ T cell responses, are required to prevent and control the COVID-19.[1] Antibodies targeting the receptor-binding domain (RBD) of the spike protein of SARS-CoV-2 can potently neutralize the virus.[2] The ChAdOx1 (AZD1222) vaccine developed by Oxford University and AstraZeneca Biopharmaceuticals consists of a replication-deficit simian adenoviral vector containing the full-length DNA sequence of the spike protein. Clinical studies of the ChAdOx1 (AZD1222) vaccine in the United Kingdom, South Africa, and Brazil showed excellent efficacy in preventing symptomatic SARS-CoV-2 infection and severe COVID-19 after two doses of the vaccine spaced at least four weeks apart.[3,4] Moreover, three weeks after a single dose of the ChAdOx1 (AZD1222) vaccine, recipients were protected from symptomatic SARS-CoV-2 infection for 12 weeks.[5] In addition to the clinical study results, neutralizing antibody levels also predict vaccine efficacy. Higher neutralizing antibody titers are generally associated with increased vaccine efficacy.[6] Salazar et al. found that anti-RBD immunoglobulin titers correlated with in vitro virus neutralization.[7] Due to the vaccine’s short supply and the efficacy of a single dose of the ChAdOx1 (AZD1222) vaccine, many governments, including Thailand, delayed the interval between prime and boost dose from 4 to 8–12 weeks. However, the waning of immune response in this period is a concern.[8] This study aims to evaluate the durability, contributing factors of anti-RBD antibody concentration, and reactogenicities after a single dose of AZD1222 vaccine in the Thai population.

Materials and methods

Study design and participants

This was a single-center, prospective cohort study designed to evaluate the durability, influence factors of anti-RBD antibodies concentration, and reactogenicities after a single dose of the ChAdOx1 (AZD1222) vaccine in Thai health care workers at Chulabhorn Hospital, Bangkok, Thailand. The health care workers in our institute who plan to vaccinate with AZD1222 vaccine and are interested in joint this study were recruited. Participants were recruited between March 31, 2021, and May 5, 2021. Individuals 18 years or older who were negative for anti-SARS-CoV-2 antibody were eligible. Individuals who had previously received COVID-19 vaccines, pregnant or lactating women, patients receiving steroids or immunosuppressive agents, and patients with active underlying diseases were excluded. Written informed consent was obtained from each participant before enrollment. The study protocol, case records form, and consent form were reviewed and approved by the Ethics Committee for Human Research, Chulabhorn Research Institute (reference number: 022/2564).

Procedures

Participants were tested for baseline anti-RBD immunoglobulin titers following enrollment in the study using a 6 mL serum sample. Sera were sent to the central laboratory department of the Chulabhorn hospital and processed within 6 hours. Identical procedures were repeated three weeks after the first dose of the vaccine and before the second dose of the vaccine. The ChAdOx1 (AZD1222) vaccine used in this study was manufactured and vialed following Good Manufacturing Practices and was approved by the regulatory agency of Thailand. All vaccine doses contained 5–6.5 × 1010 viral particles. The registered nurses administered the vaccine by intramuscular injection into the deltoid muscle.

Safety

After 30 minutes of observation to monitor the immediate adverse event, participants could go home. On days 1 and 7 post-vaccinations, participants were queried regarding reactogenicities via a questionnaire sent by a short message service. The severity of adverse events was graded by participants (mild vs. moderate vs. severe severity).

Measurement of anti-RBD immunoglobulin titers

Serum levels of anti-RBD immunoglobulin were measured using the Elecsys Anti-SARS-CoV-2 S (Elecsys-S) kit (Roche Diagnostics, Mannheim, Germany), an automated electrochemiluminescence immunoassay (ECLIA). The measurement and validation were performed according to the manufacturer's instruction. The Elecsys-S uses the double-antigen sandwich principle to detect anti-S protein antibodies. The measurement range was 0.4 to 2,500 U/mL. The manufacturer’s suggested cutoff value for a positive result was >0.8 U/mL. Based on the international standard for anti-SARS-CoV-2 immunoglobulin titers developed by the WHO,[9] Elecsys-S U was converted to binding antibody units (BAU) using the equation: Elecsys-S U = 0.972 × BAU. The threshold using Elecsys-S for detection of neutralizing antibodies (1:20) following natural infection was 133 BAU/mL (2.12 log10). Using this cut-point value, the specificity and sensitivity were 84% and 74.5%, respectively. However, the Elecsys-S assay cannot differentiate between high and low neutralizing antibody titers.[10]

Primary endpoints

The primary endpoint was the geometric mean concentration (GMC) of anti-RBD antibody at 2 and 3 months after a single dose of AZD1222 compared with the GMC at the first month. One month was defined as four weeks. The secondary endpoints were the contributing factor that correlated with the anti-RBD antibody concentration and the reactogenicities within seven days following vaccination.

Statistical analysis

Summary statistics were presented as medians and interquartile ranges (IQRs) as well as geometric means and 95% confidence intervals (CIs). Levels of anti-RBD immunoglobulin among different time points were compared using multiple linear regression, using the first month as the reference group. Correlation between anti-RBD immunoglobulin levels and contributing factors was assessed using multiple linear regression. Statistical analyses were performed using IBM SPSS statistic version 26 and GraphPad Prism version 9. Values of P < .05 were considered statistically significant.

Results

Participants

A total of 864 participants were recruited. However, we excluded 70 participants from this analysis. Nine participants had no baseline anti-RBD antibody level, 3 participants with prior seropositive before vaccination, and 58 participants with no anti-RBD antibody data after vaccination. Finally, there were 796 participants in this study. Approximately two-thirds were female (517, 64.9%). The median age was 40 years (IQR 30–57 years). Demographic data and anti-RBD antibody titers are summarized in Table 1. We planned to measure anti-RBD antibodies two times, the first time at 3 weeks after the first dose and the second time before the second dose. Some participants did not convenient for anti-RBD antibodies measurement at 3 weeks after vaccination. Therefore, we allowed them to measure anti-RBD antibodies within 7 weeks. One thousand one hundred fifty-five serum samples measured anti-RBD antibodies after the first dose and before the second dose of the vaccines. Three hundred sixty-one participants were measured anti-RBD antibodies two times, and 433 were measured one time. The interval between the first and second dose of vaccine in the initial study protocol was 12 weeks. However, during the study period, outbreaks of the delta variant of SARS-CoV-2 occurred in Thailand. The Thai national COVID-19 vaccine guideline-recommended shortening the interval between the first and second dose of the AZD1222 vaccine to 8 weeks. So, the participants in this study have received the second dose at an 8–11 week interval (Table 2).
Table 1.

Demographic characteristics of study participants

 All participants (N = 794)
Female, n (%)517 (65.1%)
Age (years), median (IQR)40 (30, 57)
Underlying comorbidities
Cardiovascular disease5 (0.63%)
Diabetes11 (1.39%)
Obese1 (0.13%)
Hypertension26 (3.27%)
Dyslipidemia27 (3.40%)
Hematologic disease8 (1.00%)

IQR, interquartile range. Obese; body mass index > 25 kg/m2.

Table 2.

The geometric mean concentration (GMC) of anti-RBD antibody after a single dose of the AZD1222 vaccine (weeks)

Time elapsed from first dose of AZD1222 (weeks)Sample (N)Geometric mean concentration of anti-SARS-CoV-2 antibody concentration (95%CI) (BAU/mL)Geometric mean ratio (95%CI)*
Baseline level794< 0.4 
311814.80 (10.81, 20.23)Reference
412027.23 (20.84,35.56)1.79 (1.30, 2.48)
512346.56 (37.07,58.34)3.05 (2.22, 4.18)
625148.87 (41.50, 57.54)3.79 (2.86, 5.01)
76347.97 (37.41, 61.52)4.78 (3.21, 7.11)
8165.484.28 (0.36, 50.58)
96656.75 (42.46, 75.86)4.20 (2.88, 6.12)
1038265.16 (58.48, 72.44)4.47 (3.43, 5.81)
113183.75 (55.98, 125.31)5.58 (3.41, 9.16)

*adjust with age, sex, underlying disease, GMR; geometric mean ratio, 95%CI; 95% confidence interval.

Demographic characteristics of study participants IQR, interquartile range. Obese; body mass index > 25 kg/m2. The geometric mean concentration (GMC) of anti-RBD antibody after a single dose of the AZD1222 vaccine (weeks) *adjust with age, sex, underlying disease, GMR; geometric mean ratio, 95%CI; 95% confidence interval.

Anti-RBD antibodies

Anti-RBD antibodies were detectable as early as three weeks after a single dose of the ChAdOx1 (AZD1222) vaccine. At three weeks, the geometric mean concentration was 14.80 (95% CI, 10.81, 20.23) BAU/mL. The concentration of anti-RBD antibodies reached high levels at five weeks post-vaccination (GMC, 46.56 (95%CI, 37.07–58.34) BAU/mL) and persisted or slightly increased through 11 weeks post-vaccination (Figure 1 and Table 2). Anti-RBD Antibody concentration at 2 and 3 months post-vaccination were significantly higher than at 1 months post-vaccination (20.14 BAU/mL (95%CI; 16.37, 24.77) at 1 month, 48.08 BAU/mL (95%CI; 42.76, 54.08) at 2 month, and 65.01 BAU/mL (95%CI; 58.88,71.61) at 3 month). The GMR was 2.72 (95%CI; 2.21–3.33) for two months and 3.33 (95%CI; 2.73–4.05) for three months compared with the first month (Figure 2 and Table 3). Based on multiple regression modeling, sex, age, underlying comorbidity with diabetes or hematologic disease, and time elapsed from first vaccination were correlated with anti-RBD antibody concentration. (Table 4). Men had 29% (95%CI; 16%-39%) lower anti-RBD antibodies concentration than women. Time elapsed from the first dose through week-11 post-vaccination was also correlated with anti-RBD antibody levels. The anti-RBD antibody level increased on average by 16% (95%CI; 13%-20%) every week from the first dose through 11 weeks post-vaccination. Age was also correlated with anti-RBD antibody levels. For every 10-year increase in age, the mean anti-RBD antibody level decreased by 15% (95%CI; 10%-20%). Participants with diabetes or hematologic disease comorbidity had 55% (95%CI; 23%-84%) and 56% (95%CI; 3%-80%) lower anti-RBD antibodies concentration. (Table 4).
Figure 1.

Anti-RBD antibody levels over 11 weeks following the first dose of the AZD1222 vaccine.

Figure 2.

Anti-RBD antibody levels over 3 months following the first dose of the AZD1222 vaccine.

Table 3.

The geometric mean concentration (GMC) of anti-RBD antibody after a single dose of the AZD1222 vaccine (months)

Time elapsed from the first dose of AZD1222 (month)Sample (N)GMC of anti-SARS-CoV-2 antibody (95%CI) (BAU/mL)GMR (95%CI)*
Baseline level7940.4 
123820.14 (16.37, 24.77)reference
243848.08 (42.76, 54.08)2.72 (2.21–3.33)
347965.01 (58.88,71.61)3.33 (2.73–4.05)

*adjust with age, sex, underlying disease, GMR; geometric mean ratio, 95%CI; 95% confidence interval.

Table 4.

Linear regression analysis of contributing factors of anti-RBD antibody concentration (antilogarithm)

PredictorAdjusteda (95%CI)
R20.132
Sex 
Femalereference
Male0.71 (0.61–0.84)
Age (decades)0.85 (0.80–0.90)
Time elapsed from first dose of AZD1222 (weeks)1.16 (1.13–1.20)
Underlying comorbidity
Cardiovascular disease0.11 (0.39–1.65)
Diabetes0.45 (0.26–0.77)*
Obese0.48 (0.04–5.79)
Hypertension0.90 (0.58–1.39)
Dyslipidemia0.64 (0.40–1.04)
End-stage kidney disease0.20 (0.02–2.32)
Hematologic disease0.44 (0.20–0.97)*

aadjust with age, sex, underlying comorbidity, and time elapsed after the first dose. 95%CI; 95% confidence interval. * p-value <.05.

The geometric mean concentration (GMC) of anti-RBD antibody after a single dose of the AZD1222 vaccine (months) *adjust with age, sex, underlying disease, GMR; geometric mean ratio, 95%CI; 95% confidence interval. Linear regression analysis of contributing factors of anti-RBD antibody concentration (antilogarithm) aadjust with age, sex, underlying comorbidity, and time elapsed after the first dose. 95%CI; 95% confidence interval. * p-value <.05. Anti-RBD antibody levels over 11 weeks following the first dose of the AZD1222 vaccine. Anti-RBD antibody levels over 3 months following the first dose of the AZD1222 vaccine. The reactogenicities were common after a single dose of the ChAdOx1 (AZD1222) vaccine. Overall, 322 of 538 participants (59.9%) reported adverse events who responded to the questionnaire. Most adverse events developed within 24 hours following vaccination. Adverse events were mild to moderate in most participants. Systemic adverse events were more common than local reactions. The most common adverse events that developed within 24 hours were myalgia (50.56%), fever (48.51%), headache (43.31%), fatigue (40.15%), and injection site reactions (24.35%) (Figure 3).
Figure 3.

Reactogenicities after a first dose of AZD1222 vaccine within 7 days.

Reactogenicities after a first dose of AZD1222 vaccine within 7 days.

Discussion

The results of this study indicate that a single dose of the ChAdOx1 (AZD1222) vaccine can elicit antibody responses as early as three weeks post-vaccination and persist through at least three months without declining. Female participants had significantly higher anti-RBD antibody concentrations compared with male participants. Participants with older age had a lower immune response. Diabetes and hematologic disease reduce the immune response after vaccination. The reactogenicities after vaccination were common. However, most participants had mild to moderate degrees of severity. This finding contrasts with the results of Flaxman et al., showing that a single dose of ChAdOx1 (AZD1222) stimulated immune responses that declined over 320 days after a single dose of the AZD1222 vaccine. This study enrolled 480 participants with an 18–55 year age range, median age 37.2 years (IQR; 29.0–47.0). The GMR of anti-spike protein at day 180 was 0.51 (95%CI; 0.45–0.57) compared with day 28 post-vaccination.[8] The participants’ age in this study was similar to ours. The different demographic data were ethnicity and sex, half of the participants (49.4%) were female, and most of the participants (90.6%) were white. The median body mass index (BMI) of participants in the Flaxman et al. study was 24.9 (IQR; 22.4–27.8). Our results also contrast with those of immune responses to mRNA vaccination studies. The mRNA-1273 vaccine-elicited peak neutralizing antibody levels two weeks after the second dose of the vaccine declined slowly with a half-life of 2 to 3 months.[11] This finding supported the public health strategy of a delay between the first and second dose of ChAdOx1 (AZD1222) of 4 to 12 weeks[5] when vaccine supply is limiting, especially in developing countries. The reason why our finding differences from those of other studies was unknown. There are a few hypotheses that expand our study result. First, the antigen carried by the adenoviral vector can persist for a long time. A mice model study showed that the transgene sequence of a viral vector could be detected for up to 1 year in the liver, spleen, and inoculated muscle after inoculum with the viral vector vaccine. Moreover, the protein produced by the transgene was detected at least 5 weeks after vaccination. The transgene product-specific memory T cells were also detected 405 days after vaccination.[12] The sustain of memory T cells may reflect the prolonged transgene expression of the viral vector vaccine.[13] The persistence of the vector genome and transgene protein was also demonstrated in nonhuman primates (NPH) for up to 22 months.[14] The clinical study also demonstrated the persistence of the immune response after the adenoviral vector vaccination. After a single dose of the ChAd3-EBO-Z vaccine in phase 1/2a clinical, the IgG antibodies against glycoprotein were peaked on day 28 and persisted through day 180 with an approximate 6 months half-life.[15] Moreover, the long half-life of antibody response was found after a single dose of the ChAdOx1 (AZD1222) vaccine.[8] Contrast with the mRNA vaccine platform, which has a half-life of antibody 2 to 3 months.[11] Second, the bodyweight of each individual may affect the vaccine response. The lower body weight individuals tend to have more immune response with the same dose of vaccine. For example, the study of the BNT162b2 vaccine in adolescents aged 12–15 years compared with those aged 16–25 years using 30 µg of the BNT162b2. The result found that the adolescent group had more immune response with the GMR of neutralizing titer 1.76 (95%CI, 1.47–2.10).[16] However, this effect was not seen after the mRNA1273 vaccination in adolescents.[17] The participants in South-East Asia had significantly lower body mass index compared with North-West Europe.[18] Third, the different immune responses may be due to different ethnicities. The polymorphism in major histocompatibility complex (MHC) genes, pattern recognition receptors (PRRs), or single-nucleotide polymorphisms (SNPs) have been demonstrated to be associated with variations in an immune response.[19] For example, during the COVID-19 pandemic, evidence supports those Black and South Asian individuals had a higher hospitalization rate, ICU admission, and death than White individuals.[20] For the influenza A vaccine, the polymorphism of the IGHV-1 69 gene modulates anti-influenza repertoire expression. Moreover, the distribution of the IGHV-1 69 alleles was impacted by ethnicity.[21] Further research is needed to establish the impact of the polymorphism in the COVID-19 vaccine. To our knowledge, this is the first study that showed a single dose of the AZD1222 vaccine could elicit a long-lasting immune response without decline within three months. Limitations of this study included 1) drop-out of participants who did not complete two times of anti-RBD antibody measurement. This is the major confounding factor that interferes with the study result. 2) Timing of anti-RBD antibodies measurement in each participant was different in the majority of participants. This factor also interferes with the result of the study. In conclusion, we demonstrated the persistence without a decline of antibody responses for 11 weeks after a single dose of the ChAdOx1 (AZD1222) vaccine in a Thai population with mild to moderate reactogenicities. Factors influencing vaccine immunogenicity were age, sex, time following the first dose of vaccine, and diabetes or hematologic disease comorbidity.
  21 in total

1.  Persistence of transgene expression influences CD8+ T-cell expansion and maintenance following immunization with recombinant adenovirus.

Authors:  Jonathan D Finn; Jennifer Bassett; James B Millar; Natalie Grinshtein; Teng Chih Yang; Robin Parsons; Carole Evelegh; Yonghong Wan; Robin J Parks; Jonathan L Bramson
Journal:  J Virol       Date:  2009-09-16       Impact factor: 5.103

2.  Convalescent plasma anti-SARS-CoV-2 spike protein ectodomain and receptor-binding domain IgG correlate with virus neutralization.

Authors:  Eric Salazar; Suresh V Kuchipudi; Paul A Christensen; Todd Eagar; Xin Yi; Picheng Zhao; Zhicheng Jin; S Wesley Long; Randall J Olsen; Jian Chen; Brian Castillo; Christopher Leveque; Dalton Towers; Jason Lavinder; Jimmy Gollihar; Jose Cardona; Gregory Ippolito; Ruth Nissly; Ian Bird; Denver Greenawalt; Randall M Rossi; Abhinay Gontu; Sreenidhi Srinivasan; Indira Poojary; Isabella M Cattadori; Peter J Hudson; Nicole M Josleyn; Laura Prugar; Kathleen Huie; Andrew Herbert; David W Bernard; John M Dye; Vivek Kapur; James M Musser
Journal:  J Clin Invest       Date:  2020-12-01       Impact factor: 14.808

3.  Safety and immunogenicity of a chimpanzee adenovirus-vectored Ebola vaccine in healthy adults: a randomised, double-blind, placebo-controlled, dose-finding, phase 1/2a study.

Authors:  Olga De Santis; Régine Audran; Emilie Pothin; Loane Warpelin-Decrausaz; Laure Vallotton; Grégoire Wuerzner; Camille Cochet; Daniel Estoppey; Viviane Steiner-Monard; Sophie Lonchampt; Anne-Christine Thierry; Carole Mayor; Robert T Bailer; Olivier Tshiani Mbaya; Yan Zhou; Aurélie Ploquin; Nancy J Sullivan; Barney S Graham; François Roman; Iris De Ryck; W Ripley Ballou; Marie Paule Kieny; Vasee Moorthy; François Spertini; Blaise Genton
Journal:  Lancet Infect Dis       Date:  2015-12-23       Impact factor: 25.071

4.  Antibody Persistence through 6 Months after the Second Dose of mRNA-1273 Vaccine for Covid-19.

Authors:  Nicole Doria-Rose; Mehul S Suthar; Mat Makowski; Sarah O'Connell; Adrian B McDermott; Britta Flach; Julie E Ledgerwood; John R Mascola; Barney S Graham; Bob C Lin; Sijy O'Dell; Stephen D Schmidt; Alicia T Widge; Venkata-Viswanadh Edara; Evan J Anderson; Lilin Lai; Katharine Floyd; Nadine G Rouphael; Veronika Zarnitsyna; Paul C Roberts; Mamodikoe Makhene; Wendy Buchanan; Catherine J Luke; John H Beigel; Lisa A Jackson; Kathleen M Neuzil; Hamilton Bennett; Brett Leav; Jim Albert; Pratap Kunwar
Journal:  N Engl J Med       Date:  2021-04-06       Impact factor: 91.245

5.  Covid-19 vaccine trials: Ethnic diversity and immunogenicity.

Authors:  Hannah Jethwa; Richard Wong; Sonya Abraham
Journal:  Vaccine       Date:  2021-05-11       Impact factor: 3.641

6.  Neutralizing antibody levels are highly predictive of immune protection from symptomatic SARS-CoV-2 infection.

Authors:  David S Khoury; Deborah Cromer; Arnold Reynaldi; Timothy E Schlub; Adam K Wheatley; Jennifer A Juno; Kanta Subbarao; Stephen J Kent; James A Triccas; Miles P Davenport
Journal:  Nat Med       Date:  2021-05-17       Impact factor: 87.241

7.  Ethnic differences in overweight and obesity and the influence of acculturation on immigrant bodyweight: evidence from a national sample of Australian adults.

Authors:  Karen Menigoz; Andrea Nathan; Gavin Turrell
Journal:  BMC Public Health       Date:  2016-09-05       Impact factor: 3.295

8.  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

9.  Safety and efficacy of the ChAdOx1 nCoV-19 vaccine (AZD1222) against SARS-CoV-2: an interim analysis of four randomised controlled trials in Brazil, South Africa, and the UK.

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; Andrea M Collins; Rachel Colin-Jones; Clare L Cutland; Thomas C Darton; Keertan Dheda; Christopher J A Duncan; Katherine R W Emary; Katie J Ewer; Lee Fairlie; Saul N Faust; Shuo Feng; Daniela M Ferreira; Adam Finn; Anna L Goodman; Catherine M Green; Christopher A Green; Paul T Heath; Catherine Hill; Helen Hill; Ian Hirsch; Susanne H C Hodgson; Alane Izu; Susan Jackson; Daniel Jenkin; Carina C D Joe; Simon Kerridge; Anthonet Koen; Gaurav Kwatra; Rajeka Lazarus; Alison M Lawrie; Alice Lelliott; Vincenzo Libri; Patrick J Lillie; Raburn Mallory; Ana V A Mendes; Eveline P Milan; Angela M Minassian; Alastair McGregor; Hazel Morrison; Yama F Mujadidi; Anusha Nana; Peter J O'Reilly; Sherman D Padayachee; Ana Pittella; Emma Plested; Katrina M Pollock; Maheshi N Ramasamy; Sarah Rhead; Alexandre V Schwarzbold; Nisha Singh; Andrew Smith; Rinn Song; Matthew D Snape; Eduardo Sprinz; Rebecca K Sutherland; Richard Tarrant; Emma C Thomson; M Estée Török; Mark Toshner; David P J Turner; Johan Vekemans; Tonya L Villafana; Marion E E Watson; Christopher J Williams; Alexander D Douglas; Adrian V S Hill; Teresa Lambe; Sarah C Gilbert; Andrew J Pollard
Journal:  Lancet       Date:  2020-12-08       Impact factor: 79.321

10.  Safety, Immunogenicity, and Efficacy of the BNT162b2 Covid-19 Vaccine in Adolescents.

Authors:  Robert W Frenck; Nicola P Klein; Nicholas Kitchin; Alejandra Gurtman; Judith Absalon; Stephen Lockhart; John L Perez; Emmanuel B Walter; Shelly Senders; Ruth Bailey; Kena A Swanson; Hua Ma; Xia Xu; Kenneth Koury; Warren V Kalina; David Cooper; Timothy Jennings; Donald M Brandon; Stephen J Thomas; Özlem Türeci; Dina B Tresnan; Susan Mather; Philip R Dormitzer; Uğur Şahin; Kathrin U Jansen; William C Gruber
Journal:  N Engl J Med       Date:  2021-05-27       Impact factor: 91.245

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Journal:  Front Immunol       Date:  2022-08-29       Impact factor: 8.786

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