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      mRNA vaccines induce durable immune memory to SARS-CoV-2 and variants of concern

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      1 , 2 , 1 , 2 , 1 , 2 , 3 , 1 , 2 , 1 , 4 , 1 , 4 , 5 , 6 , 6 , 2 , 5 , 1 , 5 , 5 , 5 , 2 , 2 , 2 , 2 , 1 , 1 , 4 , 1 , 7 , 8 , 5 , 5 , 5 , 5 , 5 , 1 , 1 , 1 , 2 , 5 , 1 , 2 , 2 , 1 , The UPenn COVID Processing Unit , 9 , 1 , 5 , 10 , 11 , 11 , 11 , 12 , 5 , 6 , 5 , 1 , 4 , 1 , 2 , 1 , 2 , 7 , 8 , * ,
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          Immune memory after vaccination

          Vaccination against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has proven highly effective at preventing severe COVID-19. However, the evolution of viral variants, and waning antibody levels over time, raise questions regarding the longevity of vaccine-induced immune protection. Goel et al. examined B and T lymphocyte responses in individuals who received SARS-CoV-2 messenger RNA vaccines. They performed a 6-month longitudinal study of individuals who never had SARS-CoV-2 infection compared with people who had recovered from SARS-CoV-2. Humoral and cellular immune memory was observed in vaccinated individuals, as were functional immune responses against the Alpha (B.1.1.7), Beta (B.1.351), and Delta (B.1.617.2) viral variants. Analysis of T cell activity suggested that robust cellular immune memory may prevent hospitalization by limiting the development of severe disease. —PNK

          Abstract

          Blood analysis of individuals vaccinated with the Moderna SARS-CoV-2 mRNA vaccine reveals distinct trajectories of immune memory responses.

          Abstract

          INTRODUCTION

          Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mRNA vaccines are highly effective at preventing infection and especially severe disease. However, the emergence of variants of concern (VOCs) and increasing infections in vaccinated individuals have raised questions about the durability of immunity after vaccination.

          RATIONALE

          To study immune memory, we longitudinally profiled antigen-specific antibody, memory B cell, and memory T cell responses in 61 individuals receiving mRNA vaccines from baseline to 6 months postvaccination. A subgroup of 16 individuals had recovered from prior SARS-CoV-2 infection, providing insight into boosting preexisting immunity with mRNA vaccines.

          RESULTS

          mRNA vaccination induced robust anti-spike, anti–receptor binding domain (RBD), and neutralizing antibodies that remained above prevaccine baseline levels in most individuals at 6 months postvaccination, although antibodies did decline over time. mRNA vaccination also generated spike- and RBD-specific memory B cells, including memory B cells that cross-bound Alpha, Beta, and Delta RBDs, that were capable of rapidly producing functional antibodies after stimulation. Notably, the frequency of SARS-CoV-2–specific memory B cells continued to increase from 3 to 6 months postvaccination. mRNA vaccines also generated a higher frequency of variant cross-binding memory B cells than mild SARS-CoV-2 infection alone, with >50% of RBD-specific memory B cells cross-binding all three VOCs at 6 months. These variant-binding memory B cells were more hypermutated than wild-type–only binding cells. SARS-CoV-2–specific memory CD4 + and CD8 + T cell responses contracted from peak levels after the second vaccine dose, with relative stabilization of SARS-CoV-2–specific memory CD4 + T cells from 3 to 6 months. T follicular helper cell responses after the first vaccine dose correlated with antibodies at 6 months, highlighting a key role for early CD4 + T cell responses. Finally, recall responses to mRNA vaccination in individuals with preexisting immunity led to an increase in circulating antibody titers that correlated with preexisting memory B cell frequency. However, there was no substantial increase in the long-term frequency of memory B and T cells. There was also no significant difference in the decay rates of antibodies in SARS-CoV-2–naïve versus –recovered subjects after vaccination, which suggests that the main benefit of recall responses to mRNA vaccination may be a robust but transient increase in circulating antibodies.

          CONCLUSION

          These findings demonstrate multicomponent immune memory after SARS-CoV-2 mRNA vaccination, with memory B and T cell responses remaining durable even as antibodies decline. Immune memory was resilient to VOCs and generated an efficient recall response upon antigen reexposure. These durable memory cells may be responsible for continued protection against severe disease in vaccinated individuals, despite a gradual reduction in antibodies. Our data may also inform expectations for the immunological outcomes of booster vaccination.

          Immune memory after mRNA vaccination.

          SARS-CoV-2–specific antibody, memory B, and memory T cell responses were measured at six time points after vaccination, highlighting a coordinated evolution of durable immunological memory. B cell memory was also resilient to VOCs and capable of producing new antibodies upon reactivation. IgG, immunoglobulin G; Ab, antibody; NTD, N-terminal domain; T FH, T follicular helper cell; WT, wild-type.

          Abstract

          The durability of immune memory after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) messenger RNA (mRNA) vaccination remains unclear. In this study, we longitudinally profiled vaccine responses in SARS-CoV-2–naïve and –recovered individuals for 6 months after vaccination. Antibodies declined from peak levels but remained detectable in most subjects at 6 months. By contrast, mRNA vaccines generated functional memory B cells that increased from 3 to 6 months postvaccination, with the majority of these cells cross-binding the Alpha, Beta, and Delta variants. mRNA vaccination further induced antigen-specific CD4 + and CD8 + T cells, and early CD4 + T cell responses correlated with long-term humoral immunity. Recall responses to vaccination in individuals with preexisting immunity primarily increased antibody levels without substantially altering antibody decay rates. Together, these findings demonstrate robust cellular immune memory to SARS-CoV-2 and its variants for at least 6 months after mRNA vaccination.

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          Safety and Efficacy of the BNT162b2 mRNA Covid-19 Vaccine

          Abstract Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and the resulting coronavirus disease 2019 (Covid-19) have afflicted tens of millions of people in a worldwide pandemic. Safe and effective vaccines are needed urgently. Methods In an ongoing multinational, placebo-controlled, observer-blinded, pivotal efficacy trial, we randomly assigned persons 16 years of age or older in a 1:1 ratio to receive two doses, 21 days apart, of either placebo or the BNT162b2 vaccine candidate (30 μg per dose). BNT162b2 is a lipid nanoparticle–formulated, nucleoside-modified RNA vaccine that encodes a prefusion stabilized, membrane-anchored SARS-CoV-2 full-length spike protein. The primary end points were efficacy of the vaccine against laboratory-confirmed Covid-19 and safety. Results A total of 43,548 participants underwent randomization, of whom 43,448 received injections: 21,720 with BNT162b2 and 21,728 with placebo. There were 8 cases of Covid-19 with onset at least 7 days after the second dose among participants assigned to receive BNT162b2 and 162 cases among those assigned to placebo; BNT162b2 was 95% effective in preventing Covid-19 (95% credible interval, 90.3 to 97.6). Similar vaccine efficacy (generally 90 to 100%) was observed across subgroups defined by age, sex, race, ethnicity, baseline body-mass index, and the presence of coexisting conditions. Among 10 cases of severe Covid-19 with onset after the first dose, 9 occurred in placebo recipients and 1 in a BNT162b2 recipient. The safety profile of BNT162b2 was characterized by short-term, mild-to-moderate pain at the injection site, fatigue, and headache. The incidence of serious adverse events was low and was similar in the vaccine and placebo groups. Conclusions A two-dose regimen of BNT162b2 conferred 95% protection against Covid-19 in persons 16 years of age or older. Safety over a median of 2 months was similar to that of other viral vaccines. (Funded by BioNTech and Pfizer; ClinicalTrials.gov number, NCT04368728.)
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            Efficacy and Safety of the mRNA-1273 SARS-CoV-2 Vaccine

            Abstract Background Vaccines are needed to prevent coronavirus disease 2019 (Covid-19) and to protect persons who are at high risk for complications. The mRNA-1273 vaccine is a lipid nanoparticle–encapsulated mRNA-based vaccine that encodes the prefusion stabilized full-length spike protein of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes Covid-19. Methods This phase 3 randomized, observer-blinded, placebo-controlled trial was conducted at 99 centers across the United States. Persons at high risk for SARS-CoV-2 infection or its complications were randomly assigned in a 1:1 ratio to receive two intramuscular injections of mRNA-1273 (100 μg) or placebo 28 days apart. The primary end point was prevention of Covid-19 illness with onset at least 14 days after the second injection in participants who had not previously been infected with SARS-CoV-2. Results The trial enrolled 30,420 volunteers who were randomly assigned in a 1:1 ratio to receive either vaccine or placebo (15,210 participants in each group). More than 96% of participants received both injections, and 2.2% had evidence (serologic, virologic, or both) of SARS-CoV-2 infection at baseline. Symptomatic Covid-19 illness was confirmed in 185 participants in the placebo group (56.5 per 1000 person-years; 95% confidence interval [CI], 48.7 to 65.3) and in 11 participants in the mRNA-1273 group (3.3 per 1000 person-years; 95% CI, 1.7 to 6.0); vaccine efficacy was 94.1% (95% CI, 89.3 to 96.8%; P<0.001). Efficacy was similar across key secondary analyses, including assessment 14 days after the first dose, analyses that included participants who had evidence of SARS-CoV-2 infection at baseline, and analyses in participants 65 years of age or older. Severe Covid-19 occurred in 30 participants, with one fatality; all 30 were in the placebo group. Moderate, transient reactogenicity after vaccination occurred more frequently in the mRNA-1273 group. Serious adverse events were rare, and the incidence was similar in the two groups. Conclusions The mRNA-1273 vaccine showed 94.1% efficacy at preventing Covid-19 illness, including severe disease. Aside from transient local and systemic reactions, no safety concerns were identified. (Funded by the Biomedical Advanced Research and Development Authority and the National Institute of Allergy and Infectious Diseases; COVE ClinicalTrials.gov number, NCT04470427.)
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              Targets of T cell responses to SARS-CoV-2 coronavirus in humans with COVID-19 disease and unexposed individuals

              Summary Understanding adaptive immunity to SARS-CoV-2 is important for vaccine development, interpreting coronavirus disease 2019 (COVID-19) pathogenesis, and calibration of pandemic control measures. Using HLA class I and II predicted peptide ‘megapools’, circulating SARS-CoV-2−specific CD8+ and CD4+ T cells were identified in ∼70% and 100% of COVID-19 convalescent patients, respectively. CD4+ T cell responses to spike, the main target of most vaccine efforts, were robust and correlated with the magnitude of the anti-SARS-CoV-2 IgG and IgA titers. The M, spike and N proteins each accounted for 11-27% of the total CD4+ response, with additional responses commonly targeting nsp3, nsp4, ORF3a and ORF8, among others. For CD8+ T cells, spike and M were recognized, with at least eight SARS-CoV-2 ORFs targeted. Importantly, we detected SARS-CoV-2−reactive CD4+ T cells in ∼40-60% of unexposed individuals, suggesting cross-reactive T cell recognition between circulating ‘common cold’ coronaviruses and SARS-CoV-2.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: Project administrationRole: Writing - review & editing
                Role: ConceptualizationRole: MethodologyRole: SoftwareRole: SupervisionRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: ResourcesRole: ValidationRole: VisualizationRole: Writing - review & editing
                Role: Data curationRole: Formal analysisRole: SoftwareRole: Visualization
                Role: Formal analysisRole: InvestigationRole: Validation
                Role: Data curationRole: Formal analysisRole: MethodologyRole: SoftwareRole: Visualization
                Role: Formal analysisRole: MethodologyRole: Software
                Role: InvestigationRole: Project administrationRole: SupervisionRole: Validation
                Role: Investigation
                Role: InvestigationRole: MethodologyRole: Writing - review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: Validation
                Role: InvestigationRole: Resources
                Role: Resources
                Role: Resources
                Role: Resources
                Role: Investigation
                Role: ConceptualizationRole: MethodologyRole: Writing - review & editing
                Role: Formal analysisRole: MethodologyRole: SoftwareRole: Visualization
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: Software
                Role: InvestigationRole: Project administrationRole: Resources
                Role: InvestigationRole: Resources
                Role: Investigation
                Role: Investigation
                Role: InvestigationRole: Project administrationRole: ResourcesRole: Supervision
                Role: Resources
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: ResourcesRole: SoftwareRole: Supervision
                Role: Data curationRole: Project administrationRole: Software
                Role: Data curationRole: Resources
                Role: Resources
                Role: Resources
                Role: InvestigationRole: Project administrationRole: Resources
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: Project administrationRole: Resources
                Role: Funding acquisitionRole: ResourcesRole: Writing - review & editing
                Role: ConceptualizationRole: MethodologyRole: ResourcesRole: SupervisionRole: Writing - review & editing
                Role: ConceptualizationRole: SupervisionRole: VisualizationRole: Writing - review & editing
                Role: Resources
                Role: Funding acquisitionRole: MethodologyRole: Resources
                Role: MethodologyRole: Resources
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ValidationRole: Writing - review & editing
                Role: Formal analysisRole: MethodologyRole: SupervisionRole: Writing - review & editing
                Role: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: ValidationRole: Writing - review & editing
                Role: Data curationRole: Formal analysisRole: Funding acquisitionRole: MethodologyRole: ResourcesRole: SupervisionRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: ConceptualizationRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing - review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: SupervisionRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Journal
                Science
                Science
                science
                Science (New York, N.y.)
                American Association for the Advancement of Science
                0036-8075
                1095-9203
                14 October 2021
                03 December 2021
                : 374
                : 6572
                : abm0829
                Affiliations
                [1 ]Institute for Immunology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
                [2 ]Immune Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
                [3 ]Division of Rheumatology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
                [4 ]Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
                [5 ]Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
                [6 ]Kirby Institute, University of New South Wales, Sydney, NSW, Australia.
                [7 ]Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
                [8 ]Parker Institute for Cancer Immunotherapy, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
                [9 ]Division of Infectious Disease, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
                [10 ]Division of Infectious Disease, Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA.
                [11 ]Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA, USA.
                [12 ]Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California San Diego (UCSD), La Jolla, CA, USA.
                Author notes
                [* ]Corresponding author. Email: wherry@ 123456pennmedicine.upenn.edu
                [†]

                These authors contributed equally to this work.

                [‡]

                The UPenn COVID Processing Unit includes individuals from diverse laboratories at the University of Pennsylvania who volunteered their time and effort to enable study of COVID-19 patients during the pandemic. Members and affiliations are listed at the end of this paper.

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                Article
                abm0829
                10.1126/science.abm0829
                9284784
                34648302
                f91d97b3-b907-4642-850a-be6007c74938
                Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).

                This is an open-access article distributed under the terms of the Creative Commons Attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 26 August 2021
                : 10 October 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
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                Award ID: NIH AI105343
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: AI082630
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: AI108545
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: AI155577
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
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                Funded by: FundRef http://dx.doi.org/10.13039/100017023, Paul G. Allen Frontiers Group;
                Funded by: FundRef http://dx.doi.org/10.13039/100000884, Cancer Research Institute;
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                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
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                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: R38 HL143613
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: T32 AR076951-01
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: T32 CA009140
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: T32 AI055400
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: U19AI082630
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: 75N9301900065
                Funded by: Medical Research Future Fund;
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                Funded by: Medical Research Future Fund;
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                Funded by: FundRef http://dx.doi.org/10.13039/501100000925, National Health and Medical Research Council;
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                Funded by: FundRef http://dx.doi.org/10.13039/100017023, Paul G. Allen Frontiers Group;
                Funded by: FundRef http://dx.doi.org/10.13039/100000884, Cancer Research Institute;
                Funded by: FundRef http://dx.doi.org/10.13039/100014547, Parker Institute for Cancer Immunotherapy;
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