3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Broadly Reactive IgG Responses to Heterologous H5 Prime-Boost Influenza Vaccination Are Shaped by Antigenic Relatedness to Priming Strains

      research-article

      Read this article at

      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

          Prime-boost vaccinations of humans with different H5 strains have generated broadly protective antibody levels. However, the effect of an individual’s H5 exposure history on antibody responses to subsequent H5 vaccination is poorly understood. To investigate this, we analyzed the IgG responses to H5 influenza A/Indonesia/5/2005 (Ind05) virus vaccination in three cohorts: (i) a doubly primed group that had received two H5 virus vaccinations, namely, against influenza A/Vietnam/203/2004 (Vie04) virus 5 years prior and A/Hong Kong/156/1997 (HK97) 11 years prior to the Ind05 vaccination; (ii) a singly primed group that had received a vaccination against Vie04 virus 5 years prior to the Ind05 vaccination; and (iii) an H5-naive group that received two doses of the Ind05 vaccine 28 days apart. Hemagglutinin (HA)-reactive IgG levels were estimated by a multiplex assay against an HA panel that included 21 H5 strains and 9 other strains representing the H1, H3, H7, and H9 subtypes. Relative HA antibody landscapes were generated to quantitatively analyze the magnitude and breadth of antibody binding after vaccination. We found that short-interval priming and boosting with the Ind05 vaccine in the naive group generated a low anti-H5 response. Both primed groups generated robust antibody responses reactive to a broad range of H5 strains after receiving a booster injection of Ind05 vaccine; IgG antibody levels persisted longer in subjects who had been doubly primed years ago. Notably, the IgG responses were strongest against the first priming H5 strain, which reflects influenza virus immune imprinting. Finally, the broad anti-H5 IgG response was stronger against strains having a small antigenic distance from the initial priming strain.

          Related collections

          Most cited references52

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

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

          To the Editor: The efficacy of two injections of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike messenger RNA (mRNA) vaccines (BNT162b2 [Pfizer] and mRNA-1273 [Moderna]) 1 in preventing symptomatic SARS-CoV-2 infection in persons without previous coronavirus disease 2019 (Covid-19) has been shown to be high. 2,3 We wondered what the response would be to the first vaccine dose in persons with previous Covid-19. We took advantage of our ongoing institutional review board–approved, longitudinal PARIS (Protection Associated with Rapid Immunity to SARS-CoV-2) study to provide a limited snapshot of the antibody responses in 110 study participants with or without documented preexisting SARS-CoV-2 immunity (mean age overall, 40.0 years [range, 24 to 68; ≥60 years, 8%]; 67 seronegative participants [64% female] with a mean age of 41.3 years and 43 seropositive participants [59% female] with a mean age of 41.4 years) (Table S1 in the Supplementary Appendix, available with the full text of this letter at NEJM.org) who received their first spike mRNA vaccine dose in 2020 (88 received the Pfizer vaccine and 22 the Moderna vaccine). SARS-CoV-2 spike IgG was measured with the use of a previously described two-step enzyme-linked immunosorbent assay and expressed as area under the curve (AUC). 4,5 Repeated sampling after the first dose indicates that the majority of seronegative participants had variable and relatively low SARS-CoV-2 IgG responses within 9 to 12 days after vaccination (median AUC before vaccination, 1 [67 participants]; at 0 to 4 days, 1 [12 participants]; at 5 to 8 days, 1 [22 participants]; at 9 to 12 days, 439 [13 participants]; at 13 to 16 days, 1016 [18 participants]; at 17 to 20 days, 1037 [21 participants]; at 21 to 27 days, 1293 [19 participants]; and after the second dose, 3316 [36 participants]) (Figure 1A). In contrast, participants with SARS-CoV-2 antibodies at baseline before the first vaccine injection rapidly developed uniform, high antibody titers within days after vaccination (median AUC before vaccination, 90 [43 participants]; at 0 to 4 days, 133 [7 participants]; at 5 to 8 days, 14,208 [15 participants]; at 9 to 12 days, 20,783 [8 participants]; at 13 to 16 days, 25,927 [20 participants]; at 17 to 20 days, 11,755 [4 participants]; at 21 to 27 days, 19,534 [14 participants]; and after the second dose, 22,509 [19 participants]) (Figure 1A). The antibody titers of vaccinees with preexisting immunity were 10 to 45 times as high as those of vaccinees without preexisting immunity at the same time points after the first vaccine dose (e.g., 25 times as high at 13 to 16 days) and also exceeded the median antibody titers measured in participants without preexisting immunity after the second vaccine dose by more than a factor of 6. Although the antibody titers of the vaccinees without preexisting immunity increased by a factor of 3 after the second vaccine dose, no increase in antibody titers was observed in the Covid-19 survivors who received the second vaccine dose. No substantial difference was noted in the dynamics of antibody responses elicited by the Pfizer and Moderna vaccines after the first dose (Fig. S1). The current analysis represents a convenience sample in which not all participants were able to provide biospecimens for antibody analysis at all the additional time intervals. Ongoing follow-up studies will show whether these early differences in immune responses are maintained over a prolonged time period. In addition, we compared the frequency of local, injection-site–related as well as systemic reactions after the first dose of vaccine in 230 participants (mean age, 39.2 years [range, 22 to 70; ≥60 years, 8%]; 148 seronegative participants [70% female] and 82 seropositive participants [64% female]) (Figure 1B). Overall, both vaccines (156 participants received the Pfizer vaccine and 74 the Moderna vaccine) had no side effects that resulted in hospitalization. A total of 159 of the 230 participants (69%) who completed the PARIS study survey reported having some side effects after the first vaccine dose (46% of the seronegative survey respondents and 89% of the seropositive survey respondents). Most common were localized injection-site symptoms (pain, swelling, and erythema), which occurred with equal frequency independently of the serostatus at the time of vaccination and resolved spontaneously within days after vaccination. Vaccine recipients with preexisting immunity had systemic side effects at higher frequencies than those without preexisting immunity (fatigue, headache, chills, muscle pain, fever, and joint pain, in order of decreasing frequency) (Figure 1B). Because a convenience sample was used and only participants with available data were studied, caution is needed until the full data set, including side effects occurring after the first as well as the second vaccine dose, can be assessed. We found that a single dose of mRNA vaccine elicited rapid immune responses in seropositive participants, with postvaccination antibody titers that were similar to or exceeded titers found in seronegative participants who received two vaccinations. Whether a single dose of mRNA vaccine provides effective protection in seropositive persons requires investigation.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Update on avian influenza A (H5N1) virus infection in humans.

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

              Mapping the antigenic and genetic evolution of influenza virus.

              D Smith (2004)
              The antigenic evolution of influenza A (H3N2) virus was quantified and visualized from its introduction into humans in 1968 to 2003. Although there was remarkable correspondence between antigenic and genetic evolution, significant differences were observed: Antigenic evolution was more punctuated than genetic evolution, and genetic change sometimes had a disproportionately large antigenic effect. The method readily allows monitoring of antigenic differences among vaccine and circulating strains and thus estimation of the effects of vaccination. Further, this approach offers a route to predicting the relative success of emerging strains, which could be achieved by quantifying the combined effects of population level immune escape and viral fitness on strain evolution.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                mBio
                mBio
                mbio
                mBio
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2150-7511
                6 July 2021
                Jul-Aug 2021
                6 July 2021
                : 12
                : 4
                : e00449-21
                Affiliations
                [a ] Department of Medicine, Division of Nephrology, University of Rochestergrid.16416.34, Medical Center, Rochester, New York, USA
                [b ] Informatics Core, Clinical, and Translational Science Institute, University of Rochestergrid.16416.34, , Rochester, New York, USA
                [c ] Department of Medicine, Division of Infectious Diseases, University of Rochestergrid.16416.34, Medical Center, Rochester, New York, USA
                [d ] Department of Immunology, Vaccine Center, University of Rochestergrid.16416.34, Medical Center, Rochester, New York, USA
                [e ] Rochester Center for Health Informatics, University of Rochestergrid.16416.34, Medical Center, Rochester, New York, USA
                GSK Vaccines
                Author notes
                [*]

                Present address: John J. Treanor, Biomedical Advanced Research and Development Authority (BARDA)/HHS/ASPR, Influenza and Emerging Diseases Division 21J14, Washington, DC, USA.

                Jiong Wang and Dongmei Li contributed equally to this work. Author order for the co-first authors was decided by the primary focus of the paper; being biological, Dr. Wang, who designed and performed the experiments, was listed as first, and Dr. Li, who performed the statistical analysis, was listed second.

                Author information
                https://orcid.org/0000-0002-7095-8682
                Article
                mBio00449-21
                10.1128/mBio.00449-21
                8406322
                34225490
                c9dcc668-6548-4b17-a3a3-1d17c40c39b3
                Copyright © 2021 Wang et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 8 April 2021
                : 25 May 2021
                Page count
                supplementary-material: 10, Figures: 6, Tables: 1, Equations: 0, References: 52, Pages: 15, Words: 10242
                Funding
                Funded by: HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID), FundRef https://doi.org/10.13039/100000060;
                Award ID: R21 AI138500
                Award Recipient : Award Recipient : Award Recipient :
                Funded by: Division of Intramural Research, National Institute of Allergy and Infectious Diseases (DIR, NIAID), FundRef https://doi.org/10.13039/100006492;
                Award ID: R01 AI129518
                Award Recipient : Award Recipient : Award Recipient : Award Recipient :
                Funded by: HHS | NIH | National Center for Advancing Translational Sciences (NCATS), FundRef https://doi.org/10.13039/100006108;
                Award ID: TR002001
                Award Recipient : Award Recipient : Award Recipient :
                Categories
                Research Article
                vaccines, Vaccines
                Custom metadata
                July/August 2021

                Life sciences
                h5 monovalent influenza vaccine (miv),hemagglutinin (ha) antigenic distance,influenza virus antibody landscape,original antigenic sin (oas),ha imprinting

                Comments

                Comment on this article