19
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Serum Neutralizing Antibody Titers 12 Months After COVID-19 Messenger RNA Vaccination: Correlation to Clinical Variables in an Adult, US Population

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          We studied whether comorbid conditions affect strength and duration of immune responses after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) messenger RNA vaccination in a US-based, adult population.

          Methods

          Sera (before and after BNT162b2 vaccination) were tested serially up to 12 months after 2 doses of vaccine for SARS-CoV-2-anti-Spike neutralizing capacity by pseudotyping assay in 124 individuals; neutralizing titers were correlated to clinical variables with multivariate regression. Postbooster (third dose) effect was measured at 1 and 3 months in 72 and 88 subjects, respectively.

          Results

          After completion of primary vaccine series, neutralizing antibody half maximal inhibitory concentration (IC50) values were high at 1 month (14-fold increase from prevaccination), declined at 6 months (3.3-fold increase), and increased at 1 month postbooster (41.5-fold increase). Three months postbooster, IC50 decreased in coronavirus disease (COVID)-naïve individuals (18-fold increase) and increased in prior COVID 2019 (COVID-19+) individuals (132-fold increase). Age >65 years (β = −0.94, P = .001) and malignancy (β = −0.88, P = .002) reduced strength of response at 1 month. Both neutralization strength and durability at 6 months, respectively, were negatively affected by end-stage renal disease ([β = −1.10, P = .004]; [β = −0.66, P = .014]), diabetes mellitus ([β = −0.57, P = .032]; [β = −0.44, P = .028]), and systemic steroid use ([β = −0.066, P = .032]; [β = −0.55, P = .037]). Postbooster IC50 was robust against WA-1 and B.1.617.2. Postbooster neutralization increased with prior COVID-19 (β = 2.9, P < .0001), and malignancy reduced neutralization response (β = −0.68, P = .03), regardless of infection status.

          Conclusions

          Multiple clinical factors affect the strength and duration of neutralization response after primary series vaccination, but not the postbooster dose strength. Malignancy was associated with lower booster-dose response regardless of prior COVID infection, suggesting a need for clinically guided vaccine regimens.

          Abstract

          Multiple clinical factors affect the half maximal inhibitory concentration strength and duration after primary series vaccination. All subjects, regardless of prior coronavirus disease infection, had enhanced neutralization following the third dose. Malignancy decreased response after the third dose, suggesting the importance of clinically guided vaccine-dosing regimens.

          Related collections

          Most cited references34

          • Record: found
          • Abstract: found
          • Article: not found

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

          Predictive models of immune protection from COVID-19 are urgently needed to identify correlates of protection to assist in the future deployment of vaccines. To address this, we analyzed the relationship between in vitro neutralization levels and the observed protection from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection using data from seven current vaccines and from convalescent cohorts. We estimated the neutralization level for 50% protection against detectable SARS-CoV-2 infection to be 20.2% of the mean convalescent level (95% confidence interval (CI) = 14.4-28.4%). The estimated neutralization level required for 50% protection from severe infection was significantly lower (3% of the mean convalescent level; 95% CI = 0.7-13%, P = 0.0004). Modeling of the decay of the neutralization titer over the first 250 d after immunization predicts that a significant loss in protection from SARS-CoV-2 infection will occur, although protection from severe disease should be largely retained. Neutralization titers against some SARS-CoV-2 variants of concern are reduced compared with the vaccine strain, and our model predicts the relationship between neutralization and efficacy against viral variants. Here, we show that neutralization level is highly predictive of immune protection, and provide an evidence-based model of SARS-CoV-2 immune protection that will assist in developing vaccine strategies to control the future trajectory of the pandemic.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            COVID-19 vaccine BNT162b1 elicits human antibody and TH1 T-cell responses

            An effective vaccine is needed to halt the spread of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) pandemic. Recently, we reported safety, tolerability and antibody response data from an ongoing placebo-controlled, observer-blinded phase I/II coronavirus disease 2019 (COVID-19) vaccine trial with BNT162b1, a lipid nanoparticle-formulated nucleoside-modified mRNA that encodes the receptor binding domain (RBD) of the SARS-CoV-2 spike protein1. Here we present antibody and T cell responses after vaccination with BNT162b1 from a second, non-randomized open-label phase I/II trial in healthy adults, 18-55 years of age. Two doses of 1-50 μg of BNT162b1 elicited robust CD4+ and CD8+ T cell responses and strong antibody responses, with RBD-binding IgG concentrations clearly above those seen in serum from a cohort of individuals who had recovered from COVID-19. Geometric mean titres of SARS-CoV-2 serum-neutralizing antibodies on day 43 were 0.7-fold (1-μg dose) to 3.5-fold (50-μg dose) those of the recovered individuals. Immune sera broadly neutralized pseudoviruses with diverse SARS-CoV-2 spike variants. Most participants had T helper type 1 (TH1)-skewed T cell immune responses with RBD-specific CD8+ and CD4+ T cell expansion. Interferon-γ was produced by a large fraction of RBD-specific CD8+ and CD4+ T cells. The robust RBD-specific antibody, T cell and favourable cytokine responses induced by the BNT162b1 mRNA vaccine suggest that it has the potential to protect against COVID-19 through multiple beneficial mechanisms.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Antigen-specific adaptive immunity to SARS-CoV-2 in acute COVID-19 and associations with age and disease severity

              Limited knowledge is available on the relationship between antigen-specific immune responses and COVID-19 disease severity. We completed a combined examination of all three branches of adaptive immunity at the level of SARS-CoV-2-specific CD4+ and CD8+ T cell and neutralizing antibody responses in acute and convalescent subjects. SARS-CoV-2-specific CD4+ and CD8+ T cells were each associated with milder disease. Coordinated SARS-CoV-2-specific adaptive immune responses were associated with milder disease, suggesting roles for both CD4+ and CD8+ T cells in protective immunity in COVID-19. Notably, coordination of SARS-CoV-2 antigen-specific responses was disrupted in individuals > 65 years old. Scarcity of naive T cells was also associated with ageing and poor disease outcomes. A parsimonious explanation is that coordinated CD4+ T cell, CD8+ T cell, and antibody responses are protective, but uncoordinated responses frequently fail to control disease, with a connection between ageing and impaired adaptive immune responses to SARS-CoV-2.
                Bookmark

                Author and article information

                Contributors
                Journal
                Clin Infect Dis
                Clin Infect Dis
                cid
                Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America
                Oxford University Press
                1058-4838
                1537-6591
                26 May 2022
                26 May 2022
                : ciac416
                Affiliations
                Department of Medicine, Division of Infectious Diseases, Yale School of Medicine , New Haven, Connecticut, USA
                Yale School of Public Health , New Haven, Connecticut, USA
                Yale School of Medicine , New Haven, Connecticut, USA
                Department of Medicine, Division of Infectious Diseases, Yale School of Medicine , New Haven, Connecticut, USA
                Yale School of Public Health , New Haven, Connecticut, USA
                Department of Veterans Affairs Office of Research and Development, Cooperative Studies Program Coordinating Center,  West Haven, Connecticut, USA
                Yale Center for Analytical Sciences, Yale School of Public Health , New Haven, Connecticut, USA
                Department of Medicine, Division of Infectious Diseases, Yale School of Medicine , New Haven, Connecticut, USA
                Department of Medicine, Division of Infectious Diseases, Veterans Affairs Healthcare Systems of Connecticut , West Haven, Connecticut, USA
                Department of Medicine, Veterans Affairs Healthcare Systems of Connecticut , West Haven, Connecticut, USA
                Department of Medicine, Yale School of Medicine , New Haven, Connecticut, USA
                Department of Medicine, Division of Infectious Diseases, Yale School of Medicine , New Haven, Connecticut, USA
                Department of Medicine, Veterans Affairs Healthcare Systems of Connecticut , West Haven, Connecticut, USA
                University of Connecticut , Storrs, Connecticut, USA
                Department of Medicine, Veterans Affairs Healthcare Systems of Connecticut , West Haven, Connecticut, USA
                Department of Medicine, Yale School of Medicine , New Haven, Connecticut, USA
                Department of Medicine, Veterans Affairs Healthcare Systems of Connecticut , West Haven, Connecticut, USA
                Department of Medicine, Yale School of Medicine , New Haven, Connecticut, USA
                Department of Medicine, Veterans Affairs Healthcare Systems of Connecticut , West Haven, Connecticut, USA
                Department of Medicine, Yale School of Medicine , New Haven, Connecticut, USA
                Department of Medicine, Veterans Affairs Healthcare Systems of Connecticut , West Haven, Connecticut, USA
                Department of Medicine, Yale School of Medicine , New Haven, Connecticut, USA
                Department of Medicine, Veterans Affairs Healthcare Systems of Connecticut , West Haven, Connecticut, USA
                Department of Medicine, Division of Infectious Diseases, Yale School of Medicine , New Haven, Connecticut, USA
                Department of Medicine, Division of Infectious Diseases, Veterans Affairs Healthcare Systems of Connecticut , West Haven, Connecticut, USA
                Department of Medicine, Division of Infectious Diseases, Veterans Affairs Healthcare Systems of Connecticut , West Haven, Connecticut, USA
                Department of Medicine, Veterans Affairs Healthcare Systems of Connecticut , West Haven, Connecticut, USA
                Department of Medicine, Yale School of Medicine , New Haven, Connecticut, USA
                Author notes

                Min Zhao, Rebecca Slotkin and Amar H. Sheth contributed equally to the manuscript and share first authorship.

                Correspondence: S. Gupta, VA Connecticut Healthcare System, 950 Campbell Ave, Bldg 1, 5th floor, Mailstop 111a, West Haven, CT 06516 ( shaili.gupta@ 123456yale.edu ).
                Author information
                https://orcid.org/0000-0002-7697-0084
                Article
                ciac416
                10.1093/cid/ciac416
                9278145
                35639598
                067dd799-28bf-4a31-93c1-e5dc8a2496c8
                Published by Oxford University Press on behalf of the Infectious Diseases Society of America 2022. This work is written by (a) US Government employee(s) and is in the public domain in the US.

                This work is written by (a) US Government employee(s) and is in the public domain in the US.

                This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.

                History
                : 10 January 2022
                : 19 May 2022
                : 11 July 2022
                Page count
                Pages: 9
                Funding
                Funded by: National Institutes of Health, doi 10.13039/100000002;
                Award ID: R01 AI150334
                Funded by: Global Health Equity Scholars Program/Fogarty International Center;
                Award ID: FIC D43TW010540
                Funded by: Yale section of Infection Diseases;
                Award ID: 5T32AI007517-20
                Funded by: Yale School of Medicine Medical Student Research Fellowship;
                Categories
                Major Article
                AcademicSubjects/MED00290
                Custom metadata
                corrected-proof
                PAP

                Infectious disease & Microbiology
                sars-cov-2,mrna vaccine,immune response,neutralization assay,impact on outcome,clinical variables,covid-19

                Comments

                Comment on this article