Literature DB >> 34896516

SARS-CoV-2 antibody and T cell responses one year after COVID-19 and the booster effect of vaccination: A prospective cohort study.

Willem A Mak1, Johannes G M Koeleman1, Marijke van der Vliet1, Frans Keuren1, David S Y Ong2.   

Abstract

OBJECTIVES: First, to describe SARS-CoV-2 T cell and antibody responses in a prospective cohort of healthcare workers that suffered from mild to moderate COVID-19 approximately one year ago. Second, to assess COVID-19 vaccine-induced immune responses in these prior-infected individuals.
METHODS: SARS-CoV-2-specific T cell and anti-SARS-CoV-2-Spike-RBD immunoglobulin G (IgG) responses in blood were determined before COVID-19 vaccination with mRNA-1273, BNT162b2, Ad26.CoV2-S or ChAdOx1-S, two weeks after first vaccination, and after second vaccination.
RESULTS: 55 prior SARS-CoV-2 infected and seroconverted individuals were included. S1-specific T cell responses and anti-RBD IgG were detectable one year post SARS-CoV-2 infection: 24 spot-forming cells per 106 peripheral blood mononuclear cells (SFCs/106 PBMCs) after S1 stimulation and anti-RBD IgG concentration of 74 (IQR 36-158) IU/mL. Responses after the first and second vaccination were comparable with S1-specfic T cell responses of 198 (IQR 137-359) and 180 (IQR 103-347) SFCs/106 PBMCs, and IgG concentrations of 6792 (IQR 3386-15,180) and 6326 (IQR 2336-13,440) IU/mL, respectively. These responses retained up to four months after vaccination.
CONCLUSIONS: Both T cell and IgG responses against SARS-CoV-2 persist for up to one year after COVID-19. A second COVID-19 vaccination in prior-infected individuals did not further increase immune responses in comparison to one vaccination.
Copyright © 2021 The British Infection Association. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Antibody; COVID-19; Immunity; SARS-CoV-2; T cell; Vaccination

Mesh:

Substances:

Year:  2021        PMID: 34896516      PMCID: PMC8656179          DOI: 10.1016/j.jinf.2021.12.003

Source DB:  PubMed          Journal:  J Infect        ISSN: 0163-4453            Impact factor:   6.072


Introduction

Immune protection against severe acute respiratory coronavirus-2 (SARS-CoV-2) infection is commonly associated with the presence of neutralising antibodies that bind to the receptor-binding domain (RBD) of the virus’ Spike glycoprotein. , These RBD-bound antibodies prevent interactions between RBD and host's angiotensin-converting enzyme-2 (ACE2), which is a critical process for SARS-CoV-2 cell invasion. , In contrast, most coronavirus disease 2019 (COVID-19) immunity studies paid less attention to the role of the cellular component of the adaptive immune system. There is increasing evidence that an effective T cell response is crucial for protection against SARS-CoV-2 infection and severity of disease. For example, the presence of robust SARS-CoV-2-specific T cell responses is associated with successful recovery from COVID-19, whereas lymphopenia, especially of the CD8+ T cell subset, is commonly observed in severe COVID-19 cases.7, 8, 9, 10, 11 In the absence of an effective anti-viral T cell response, severe COVID-19 patients present a severe and persistent lung inflammation mediated by highly activated myeloid cells. , Furthermore, the SARS-CoV-2 Alpha (B.1.1.7 lineage) and Beta (B.1.351 lineage) variants of concern (VOC) partially escaped humoral but not T cell responses in COVID-19 convalescent donors and vaccinees. , Moreover, the Delta (B.1.617 lineage) variant demonstrated three- to fivefold lower neutralising antibody titres after two BNT162b2 or ChAdOx-1 vaccinations, whereas T cell responses were robust and cross-reactive against the VOC after natural infection or two BNT162b2 vaccinations. Therefore, the assessment of T cell responses might be equally important as the assessment of SARS-CoV-2 specific antibody responses to evaluate one's immune status after natural infection or COVID-19 vaccination. Most previous SARS-CoV-2 immunity studies assessed SARS-CoV-2-specific immune responses in COVID-19 convalescents up to nine months post-symptom onset (PSO),18, 19, 20, 21, 22, 23, 24, 25, 26, 27 or in healthy individuals after administrating COVID-19 vaccinations.28, 29, 30, 31 However, little is known about the persistence of SARS-CoV-2-specific T cell and antibody responses one year after SARS-CoV-2 infection and how COVID-19 vaccinations affect these responses in prior-infected individuals. This study aimed to describe and compare SARS-CoV-2-specific T cell and antibody responses in a cohort of healthcare workers (HCWs) that suffered from mild to moderate COVID-19 one year ago. Second, we aimed to describe COVID-19 vaccine-induced T cell and antibody responses in our cohort of COVID-19 convalescents.

Methods

Study design

HCWs that suffered from mild to moderate COVID-19 and tested SARS-CoV-2 reverse transcription-quantitative polymerase chain reaction (RT-qPCR) positive approximately one year ago (i.e., between March and July 2020) and in which seroconversion occurred in the following months post diagnosis as described previously were eligible for this study. Ideally, SARS-CoV-2-specific T cell and antibody responses in blood were determined at three time points: before COVID-19 vaccination, two weeks after the first vaccination, and if applicable after the second COVID-19 vaccination. The study was conducted following the principles of the Declaration of Helsinki, and ethical approval was obtained from the Medical Research Ethical Committee United (protocol number R20.030). All participants provided written informed consent for participation.

PBMC and serum isolation

Whole blood was obtained by venipuncture and was collected in lithium-heparin tubes. Within eight hours after blood collection, serum was isolated from the whole blood sample and peripheral blood mononuclear cells (PBMCs) were isolated using the Ficoll® paque density gradient separation. Cells were washed twice adding pre-heated (37 °C) RPMI 1640 cell culture medium (Gibco) and centrifugation. The pellet was resuspended in pre-heated (37 °C) AIM-V medium (AIM-V® + AlbuMAX® (BSA); Gibco). The PBMC concentration was determined in an automated cell counter (WBC System; HemoCue®), whereafter the PBMCs were diluted in pre-heated (37 °C) AIM-V medium.

SARS-CoV-2 ELISpot

T cell responses against SARS-CoV-2 antigens were assessed by the T-SPOT® Discovery SARS-CoV-2 (Oxford Immunotec). The assay was performed exclusively with materials from the kit, according to the manufacturer's instructions. On day 1, the following stimulators were added in a volume of 50 μL per well: AIM-V as a negative control, phytohemagglutinin as a positive control, and SARS-CoV-2 spike subunit 1 (S1), nucleocapsid protein (N), and membrane protein (M) peptide pools that exclude peptide sequences homologous to endemic coronaviruses. 2.5 × 105 PBMCs in 100 μL AIM-V medium were added to each well. The microtiter plate was incubated for 16–20 h at 37 °C with 5% CO2 in a humidified atmosphere. On day 2, cells were washed off the plate with PBS, and the alkaline phosphatase conjugated antibody was added to the wells and was incubated for one hour at 7 °C. The plate was washed with PBS and the substrate was added to the wells and was incubated at room temperature for seven minutes, whereafter the reaction was stopped with demineralised water.

ELISpot spot quantification

Spots were visualised with a digital microscope (Veho® DX1) in a standardised illuminated environment. Images were analysed using FIJI v2.1.0 software and were converted in black-and-white images, whereafter an intensity threshold of 75 and particle size threshold of 5 pixel2 were set to automatically detect all distinct dark-colored spots using the Particle Analysis tool. The sample was excluded if <100 spots were present in the positive control well. To quantify antigen-specific responses, the number of spots of the negative control well was subtracted from the antigen stimulation wells. The results were expressed as spot-forming cells per 106 PBMCs (SFCs /106 PBMCs) and were categorised as none (0 SFCs /106 PBMCs), weak (1–23 SFCs /106 PBMCs), strong (24–99 SFCs /106 PBMCs), or very strong (≥100 SFCs /106 PBMCs).

SARS-CoV-2 serology

Humoral immune responses were determined with a quantitative ELISA that detected anti-SARS-CoV-2-Spike-RBD IgG antibodies (Beijing Wantai Biological Pharmacy Enterprise). The ELISA was performed according to the manufacturer's instructions in a fully automated microplate processor (EVOLIS; Bio-Rad). The 32 Wantai-units per mL (U/mL) standard, part of the ELISA kit, was serially diluted to prepare six standard concentrations ranging from 32 to 1 U/mL. The standard concentrations were used to create a calibration line, whereafter antibody concentrations in serum samples were assessed. Serum IgG concentrations were converted from U/mL to international units per mL (IU/mL) using the conversion factor of 5.4 as specified by the manufacturer. Serum samples were undiluted, or if necessary, up to 1:1000 diluted to fit in the concentration range of the calibration line. HRP-conjugate was incubated at 37 °C for 30 min and TMB substrate was incubated at 37 °C for 15 min. The reaction was stopped with sulfuric acid and the absorbence was measured at 450 nm.

Statistical analysis

Data were expressed as median with interquartile range (IQR). The Mann-Whitney U test was performed to compare two independent groups. The Kruskal-Wallis test with Dunn's post-hoc analysis was performed to compare two groups within three or more groups. The Wilcoxon signed-rank test was used to compare paired samples. Spearman's rank correlation coefficients (r) were calculated to assess associations between groups and correlation strength was interpreted as negligible (r<0.1), weak (r = 0.11–0.39), moderate (r = 0.40–0.69), strong (r = 0.70–0.89), or very strong (r = 0.90–1.00). All statistic tests were performed at a two-tailed α- level of 0.05 using GraphPad Prism v9 or IBM® SPSS® Statistics v26 for MacOS.

Results

Cohort of prior SARS-CoV-2-infected HCWs

Of 79 HCWs that suffered from mild to moderate COVID-19 one year ago, 20 HCWs did not respond or refused to participate and 4 HCWs had no seroconversion in the first months post-COVID-19 (Fig. 1 ). The remaining 55 SARS-CoV-2 seroconverted HCWs were included in the study. This cohort had a median age of 43 (IQR 31–55) years at the time of inclusion and consisted of 46 (84%) females.
Fig. 1

Study design. (A) Timeline of the study. Blood was collected and immune responses were determined at three time points: before vaccination (t0) and two weeks after the first (t1) and second (t2) vaccination. (B) Flow diagram showing the population and sample size of the study.

Study design. (A) Timeline of the study. Blood was collected and immune responses were determined at three time points: before vaccination (t0) and two weeks after the first (t1) and second (t2) vaccination. (B) Flow diagram showing the population and sample size of the study. Some HCWs refused vaccination (n = 9) or already received one (n = 7) or two (n = 16) vaccinations before the study, precluding the assessment of immune responses at all three time points in these HCWs. Importantly, during the study period national vaccination policy in the Netherlands changed the need for two vaccinations to one vaccination only in prior-infected individuals.

SARS-CoV-2-specific T cell and antibody responses 1 year post COVID-19

We stimulated PBMCs isolated from 32 COVID-19 convalescent vaccination-naïve HCWs. This sub-cohort was tested SARS-CoV-2 RT-qPCR positive 370 (IQR 353–390) days before blood collection. Median SFCs per 106 PBMCs were 24 after S1 stimulation and 12 after N or M stimulation (Fig. 2 A). All HCWs were at least weak (1–23 SFCs) responsive to S1, of which 53% of HCWs exhibited strong (24–100 SFCs) or very strong (≥100 SFCs) S1-specific responses. In contrast, 30 (93.8%) and 29 (90.6%) HCWs were at least weak responsive to N and M, respectively. In only 9 (28%) and 8 (25%) HCWs strong to very strong responses against N and M were observed, respectively. SARS-CoV-2 T cell responses were present in all HCWs, of which 27 (84%) presented at least weak T cell responses against all three tested antigens (Fig. 2B).
Fig. 2

SARS-CoV-2-specific T cell and antibody responses one year after mild to moderate COVID-19. (A) T cell response magnitude of 32 COVID-19 recovered HCWs to tested SARS-CoV-2 antigens after stimulation for 16–20 h in the ELISpot assay. Each dot represents a COVID-19 convalescent HCW, and doughnut charts represent the proportion of HCWs having none, weak, strong, or very strong responses to tested antigen. Black lines indicate the median with IQR, and data statistical significance was determined using Kruskal-Wallis test with Dunn's post-hoc analysis. (B) Bar chart representing the proportion of HCWs that showed at least weak T cell responses. (C) Associations between antigen-specific responses assessed by Spearman's rank correlation coefficient (r). (D) The magnitude of anti-RBD IgG serum concentrations. One serum sample failed in the ELISA, leaving 31 HCWs in the antibody assessment. Black lines indicate median with IQR. (E) Associations between S1-specific T cell and anti-RBD IgG responses assessed by Spearman's rank correlation.

SARS-CoV-2-specific T cell and antibody responses one year after mild to moderate COVID-19. (A) T cell response magnitude of 32 COVID-19 recovered HCWs to tested SARS-CoV-2 antigens after stimulation for 16–20 h in the ELISpot assay. Each dot represents a COVID-19 convalescent HCW, and doughnut charts represent the proportion of HCWs having none, weak, strong, or very strong responses to tested antigen. Black lines indicate the median with IQR, and data statistical significance was determined using Kruskal-Wallis test with Dunn's post-hoc analysis. (B) Bar chart representing the proportion of HCWs that showed at least weak T cell responses. (C) Associations between antigen-specific responses assessed by Spearman's rank correlation coefficient (r). (D) The magnitude of anti-RBD IgG serum concentrations. One serum sample failed in the ELISA, leaving 31 HCWs in the antibody assessment. Black lines indicate median with IQR. (E) Associations between S1-specific T cell and anti-RBD IgG responses assessed by Spearman's rank correlation. All HCWs presented detectable anti-RBD IgG antibodies one year post SARS-CoV-2 infection (Fig. 2C). The median concentration of anti-RBD IgG in serum was 74 (IQR 36–158) IU/mL. No association between RBD-targeted humoral and S1-targeted cellular responses one year post SARS-CoV-2 infection was detected (r = 0.0513, p = 0.7837) (Fig. 2D).

COVID-19 vaccine-induced immune responses in prior SARS-CoV-2-infected and seroconverted individuals

Compared to before vaccination, T cell responses against S1 were significantly higher after the first vaccination with mRNA-1273, BNT162b2, Ad26.CoV2-S or ChAdOx1-S vaccine dose (p<0.0001) (Fig. 3 A). Median S1 responses increased from 24 (IQR 20–48) to 204 (IQR 94–420) SFCs /106 PBMCs. In contrast, N and M specific T cell responses remained comparable after vaccination. Likewise, anti-RBD IgG concentrations increased significantly after first vaccination (p<0.0001) (Fig 3B). Median anti-RBD IgG concentrations increased from 97 (IQR 44–182) to 5930 (IQR 2442–11,634) IU/mL.
Fig. 3

Vaccine-induced SARS-CoV-2-specific T cell and antibody responses in COVID-19 convalescent HCWs. (A) T cell responses and anti-RBD IgG concentrations (B) median 5 (IQR 2–26) days before (t0) and median 15 (IQR 14–17) days after (t1) one dose of Ad26.COV2-S (n = 11), mRNA-1273 (n = 8), ChAdOx1-S (n = 3), or BNT162b2 (n = 1) vaccine. (C) T cell responses and (D) anti-S1 IgG concentrations against SARS-CoV-2 antigens median 15 (IQR 14–17) days after first vaccination (t1) and median 14 (IQR 14–17) days after second administration (t2) of mRNA-1273 (n = 8) or ChAdOx1-S (n = 4) vaccines. Median number of days between first and second vaccination is 30 (IQR 27–34). Association between S1-specific T cell responses and anti-RBD IgG concentrations at (E) t1 and (F) t2 assessed by Spearman's rank correlation. Statistical significance is determined using Wilcoxon signed-rank test (A-D).

Vaccine-induced SARS-CoV-2-specific T cell and antibody responses in COVID-19 convalescent HCWs. (A) T cell responses and anti-RBD IgG concentrations (B) median 5 (IQR 2–26) days before (t0) and median 15 (IQR 14–17) days after (t1) one dose of Ad26.COV2-S (n = 11), mRNA-1273 (n = 8), ChAdOx1-S (n = 3), or BNT162b2 (n = 1) vaccine. (C) T cell responses and (D) anti-S1 IgG concentrations against SARS-CoV-2 antigens median 15 (IQR 14–17) days after first vaccination (t1) and median 14 (IQR 14–17) days after second administration (t2) of mRNA-1273 (n = 8) or ChAdOx1-S (n = 4) vaccines. Median number of days between first and second vaccination is 30 (IQR 27–34). Association between S1-specific T cell responses and anti-RBD IgG concentrations at (E) t1 and (F) t2 assessed by Spearman's rank correlation. Statistical significance is determined using Wilcoxon signed-rank test (A-D). 12 HCWs received two mRNA-1273 (n = 8) or ChAdOx1-S (n = 4) vaccine doses during the study. S1-specific T cell responses and anti-RBD IgG concentrations were not significantly different two weeks after the second vaccination, compared to two weeks after the first vaccination (Fig. 3C and D). Median S1-specfic T cell responses changed from 198 (IQR 137–359) to 180 (IQR 103–347) SFCs per 106 PBMCs and anti-RBD IgG concentrations changed from 6792 (IQR 3386–15,180) to 6326 (IQR 2336–13,440) IU/mL. Furthermore, we observed a non-significant weak association between S1-specific T cell and anti-RBD IgG responses after the first vaccination (r = 0.3435, p = 0.0927) and a statistically significant strong association after the second vaccination (r = 0.7426, p = 0.0074) (Fig. 3E and F). Due to small numbers of measurements at similar timing after the second vaccination, we could not make an adequate comparison between all various vaccine types. Nevertheless, we observed significantly higher anti-RBD IgG concentrations, 10,001 (IQR 5774–15,525) and 1276 (IQR 1224–2498) IU/mL (p = 0.0295), two weeks after the second dose of the mRNA-1273 and ChAdOx1-S vaccine, respectively.

Durability of COVID-19 vaccine-induced immune responses in COVID-19 convalescents

16 HCWs tested SARS-CoV-2 RT-qPCR positive at a median of 366 (IQR 357–380) days before blood collection and were already fully vaccinated at a median of 75 (IQR 69–87, range 68–127) days before blood collection. These HCWs received a second dose of Pfizer's BNT162b2 vaccine at a median of 27 (IQR 25–28) days after the first dose and showed overall maintained T cell and antibody responses during the four months post second vaccination (Fig. 4 A). Moreover, S1 induced significantly higher T cell reactivity compared to N and M; median SFCs of 108 for S1 versus 16 for both N and M (Fig. 4B). No significant correlation was found between S1-specific T cell responses and anti-RBD IgG concentrations (r=−0.1563, p = 0.5623) (Fig. 4C).
Fig. 4

Persistence of vaccine-induced SARS-CoV-2-specific T cell responses in COVID-19 convalescent HCWs. (A) S1-specific T cell and anti-RBD IgG responses of COVID-19 convalescent HCWs (n = 16) who received two BNT162b2 vaccinations 68–127 days before blood collection. (B) Comparison of SARS-CoV-2 antigen-specific IFNγ responses. Black lines indicate median with IQR, and statistical significance was determined using Mann-Whitney U test. (C) Association between T cell and anti-RBD IgG responses was assessed by Spearman's rank correlation.

Persistence of vaccine-induced SARS-CoV-2-specific T cell responses in COVID-19 convalescent HCWs. (A) S1-specific T cell and anti-RBD IgG responses of COVID-19 convalescent HCWs (n = 16) who received two BNT162b2 vaccinations 68–127 days before blood collection. (B) Comparison of SARS-CoV-2 antigen-specific IFNγ responses. Black lines indicate median with IQR, and statistical significance was determined using Mann-Whitney U test. (C) Association between T cell and anti-RBD IgG responses was assessed by Spearman's rank correlation.

Discussion

Here, we demonstrated that all mild to moderate COVID-19 convalescents presented SARS-CoV-2-specific T cell and IgG responses one year after disease, which were adequately boosted by a single mRNA or viral vector COVID-19 vaccination. Furthermore, we observed retained T cell and antibody responses up to four months after the second BNT162b2 vaccination in prior-infected individuals. Whereas previous studies mainly focused on the persistence of T cell and antibody responses after SARS-CoV-2 infection weeks to months PSO,18, 19, 20, 21, 22, 23, 24, 25, 26, 27 this study is one of the first to assess both SARS-CoV-2-specific T cell and antibody responses one-year post-SARS-CoV-2 infection. In addition, this study assessed vaccination-induced immune responses in prior-infected individuals. In line with our findings, previous studies also reported retained SARS-CoV-2-specific T cell and antibody responses in prior-infected individuals up to nine months PSO.36, 37, 38 Interestingly, we found that S1-specific T cell responses were not associated with anti-RBD IgG responses, indicating heterogeneity in the durability of humoral and cellular SARS-CoV-2 immunity. Moreover, a previous study showed discordancy between S1 IgG and T cell responses in prior SARS-CoV-2-infected individuals, in which S1 IgG levels increased with age in females while T cell responses increased with age in males. Furthermore, our cohort exhibited heterogeneous T cell responses, which could be related to sex and age, or may be caused by unrecognised re-exposure to SARS-CoV-2 since the virus was highly prevalent in the Netherlands from September 2020 to May 2021. Irrespective of the COVID-19 vaccine type, anti-RBD IgG and S1-specific T cell responses became considerably stronger two weeks after the first vaccination, whereas these responses did not further increase after the second COVID-19 vaccination in prior-infected HCWs. Previous studies on COVID-19 mRNA vaccines showed comparable findings of prior-infected individuals already exhibiting peak immune responses after the first vaccination and responses not further increasing after a second vaccination, indicating the redundancy of a second COVID-19 vaccination in prior-infected individuals. , Even though our results demonstrated durable immune responses after infection and vaccination, it remains questionable whether sufficient protection against all SARS-CoV-2 variants is achieved. For example, SARS-CoV-2 Delta variant infections also emerged in partially and fully vaccinated individuals.43, 44, 45, 46 Neutralising antibodies of COVID-19 convalescent individuals showed to be fourfold less potent against the Delta variant than the Alpha variant one year PSO, and there was barely an inhibitory effect against the Delta variant after a single BNT162b2 or ChAdOx1-S vaccination. , There are some limitations to consider in our study. First, we did not assess neutralising antibody responses in our HCWs cohort. However, in our earlier work, the Wantai ELISA showed high agreement with a surrogate neutralising antibody test. Second, not all HCWs received the first and second vaccination in our study, and only few HCWs received BNT162b2 and ChAdOx1-S vaccines. We were dependant on national COVID-19 vaccination policies and could not split our cohort into even groups per vaccine type. Also, the national policy changed the need for two vaccinations to one vaccination only in prior-infected individuals during the study period, impeding the assessment of immune responses two weeks after second vaccination in a proportion of HCWs. Nevertheless, our findings suggest the redundancy of the second vaccination in prior SARS-CoV-2 infected individuals and may guide COVID-19 vaccination policies. In conclusion, T cell responses and anti-RBD IgG against SARS-CoV-2 persist for up to one year after COVID-19. Also, irrespective of the vaccine type, a single COVID-19 vaccination induced robust S1-specific T cell responses and anti-RBD IgG antibodies in COVID-19 convalescents, whereas responses did not further increase after the second vaccination. Future research must longitudinally assess SARS-CoV-2-specific immune responses in prior-infected individuals and elucidate how long a single COVID-19 vaccination could be considered equally effective as full vaccination.

CRediT authorship contribution statement

Willem A. Mak: Data curation, Visualization, Formal analysis, Writing – original draft, Writing – review & editing. Johannes G.M. Koeleman: Conceptualization, Visualization, Supervision, Writing – review & editing. Marijke van der Vliet: Data curation, Writing – review & editing. Frans Keuren: Formal analysis, Writing – review & editing. David S.Y. Ong: Conceptualization, Visualization, Supervision, Writing – original draft, Writing – review & editing.

Declaration of Competing Interest

The authors declare that they have no conflicts of interest.
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5.  Effect of previous SARS-CoV-2 infection on humoral and T-cell responses to single-dose BNT162b2 vaccine.

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6.  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
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Authors:  Ewa Morgiel; Magdalena Szmyrka; Marta Madej; Agata Sebastian; Renata Sokolik; Iga Andrasiak; Maria Chodyra; Małgorzata Walas-Antoszek; Lucyna Korman; Jerzy Świerkot
Journal:  Vaccines (Basel)       Date:  2022-04-30

2.  Comparison between an in-house SARS-CoV-2 ELISpot and the T-Spot® Discovery SARS-CoV-2 for the assessment of T cell responses in prior SARS-CoV-2-infected individuals.

Authors:  Willem A Mak; Johannes G M Koeleman; David S Y Ong
Journal:  J Clin Virol       Date:  2022-04-12       Impact factor: 14.481

3.  Humoral and cellular responses to vaccination with homologous CoronaVac or ChAdOx1 and heterologous third dose with BNT162b2.

Authors:  Jackelinne Y Hayashi; Adriana Simizo; Jackson G Miyamoto; Lucas V S Costa; Olívia F Souza; Tassia Chiarelli; Natália B S Bacarov; Rafaela Hidalgo; Letícia D Garcia; Michel M Soane; Carla T Braconi; Juliana T Maricato; Luiz M Janini; Reinaldo Salomão; Ana F Popi; Isaias Glezer; Tatiana Bonetti; Alexandre K Tashima
Journal:  J Infect       Date:  2022-02-27       Impact factor: 38.637

4.  Differences in Humoral and Cellular Vaccine Responses to SARS-CoV-2 in Kidney and Liver Transplant Recipients.

Authors:  Lucrezia Furian; Francesco Paolo Russo; Gianluigi Zaza; Patrizia Burra; Susan Hartzell; Debora Bizzaro; Marianna Di Bello; Caterina Di Bella; Erica Nuzzolese; Clara Agnolon; Sander Florman; Meenakshi Rana; Jar-How Lee; Yesl Kim; Umberto Maggiore; Jonathan S Maltzman; Paolo Cravedi
Journal:  Front Immunol       Date:  2022-04-14       Impact factor: 8.786

5.  Immunogenicity evaluation after BNT162b2 booster vaccination in healthcare workers.

Authors:  Sabina Zurac; Cristian Vladan; Octavian Dinca; Carolina Constantin; Monica Neagu
Journal:  Sci Rep       Date:  2022-07-26       Impact factor: 4.996

6.  Measuring T-Cell Responses against SARS-CoV-2 Is of Utility for Disease and Vaccination Management.

Authors:  Guillem Safont; Irene Latorre; Raquel Villar-Hernández; Zoran Stojanovic; Alicia Marín; Cristina Pérez-Cano; Alicia Lacoma; Bárbara Molina-Moya; Alan Jhunior Solis; Fernando Arméstar; Joan Matllo; Sergio Díaz-Fernández; Arnau Cendón; Liliya Sokalchuk; Guillermo Tolosa; Irma Casas; Antoni Rosell; José Domínguez
Journal:  J Clin Med       Date:  2022-08-30       Impact factor: 4.964

  6 in total

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