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Bhatnagar N, Kim KH, Subbiah J, Muhammad-Worsham S, Park BR, Liu R, Grovenstein P, Wang BZ, Kang SM. Heterologous Prime-Boost Vaccination with Inactivated Influenza Viruses Induces More Effective Cross-Protection than Homologous Repeat Vaccination. Vaccines (Basel) 2023; 11:1209. [PMID: 37515025 PMCID: PMC10386405 DOI: 10.3390/vaccines11071209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 06/24/2023] [Accepted: 06/30/2023] [Indexed: 07/30/2023] Open
Abstract
With concerns about the efficacy of repeat annual influenza vaccination, it is important to better understand the impact of priming vaccine immunity and develop an effective vaccination strategy. Here, we determined the impact of heterologous prime-boost vaccination on inducing broader protective immunity compared to repeat vaccination with the same antigen. The primed mice that were intramuscularly boosted with a heterologous inactivated influenza A virus (H1N1, H3N2, H5N1, H7N9, H9N2) vaccine showed increased strain-specific hemagglutination inhibition titers against prime and boost vaccine strains. Heterologous prime-boost vaccination of mice with inactivated viruses was more effective in inducing high levels of IgG antibodies specific for groups 1 and 2 hemagglutinin stalk domains, as well as cross-protection, compared to homologous vaccination. Both humoral and T cell immunity were found to play a critical role in conferring cross-protection by heterologous prime-boost vaccination. These results support a strategy to enhance cross-protective efficacy by heterologous prime-boost influenza vaccination.
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Affiliation(s)
- Noopur Bhatnagar
- Center for Inflammation, Immunity & Infection, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA 30302, USA; (N.B.); (K.-H.K.); (J.S.); (S.M.-W.); (B.R.P.); (R.L.); (P.G.); (B.-Z.W.)
| | - Ki-Hye Kim
- Center for Inflammation, Immunity & Infection, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA 30302, USA; (N.B.); (K.-H.K.); (J.S.); (S.M.-W.); (B.R.P.); (R.L.); (P.G.); (B.-Z.W.)
| | - Jeeva Subbiah
- Center for Inflammation, Immunity & Infection, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA 30302, USA; (N.B.); (K.-H.K.); (J.S.); (S.M.-W.); (B.R.P.); (R.L.); (P.G.); (B.-Z.W.)
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA
| | - Sakinah Muhammad-Worsham
- Center for Inflammation, Immunity & Infection, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA 30302, USA; (N.B.); (K.-H.K.); (J.S.); (S.M.-W.); (B.R.P.); (R.L.); (P.G.); (B.-Z.W.)
| | - Bo Ryoung Park
- Center for Inflammation, Immunity & Infection, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA 30302, USA; (N.B.); (K.-H.K.); (J.S.); (S.M.-W.); (B.R.P.); (R.L.); (P.G.); (B.-Z.W.)
| | - Rong Liu
- Center for Inflammation, Immunity & Infection, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA 30302, USA; (N.B.); (K.-H.K.); (J.S.); (S.M.-W.); (B.R.P.); (R.L.); (P.G.); (B.-Z.W.)
| | - Phillip Grovenstein
- Center for Inflammation, Immunity & Infection, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA 30302, USA; (N.B.); (K.-H.K.); (J.S.); (S.M.-W.); (B.R.P.); (R.L.); (P.G.); (B.-Z.W.)
| | - Bao-Zhong Wang
- Center for Inflammation, Immunity & Infection, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA 30302, USA; (N.B.); (K.-H.K.); (J.S.); (S.M.-W.); (B.R.P.); (R.L.); (P.G.); (B.-Z.W.)
| | - Sang-Moo Kang
- Center for Inflammation, Immunity & Infection, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA 30302, USA; (N.B.); (K.-H.K.); (J.S.); (S.M.-W.); (B.R.P.); (R.L.); (P.G.); (B.-Z.W.)
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Minervina AA, Pogorelyy MV, Kirk AM, Crawford JC, Allen EK, Chou CH, Mettelman RC, Allison KJ, Lin CY, Brice DC, Zhu X, Vegesana K, Wu G, Trivedi S, Kottapalli P, Darnell D, McNeely S, Olsen SR, Schultz-Cherry S, Estepp JH, McGargill MA, Wolf J, Thomas PG. SARS-CoV-2 antigen exposure history shapes phenotypes and specificity of memory CD8 T cells. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2022:2021.07.12.21260227. [PMID: 34341799 PMCID: PMC8328067 DOI: 10.1101/2021.07.12.21260227] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Although mRNA vaccine efficacy against severe COVID-19 remains high, variant emergence and breakthrough infections have changed vaccine policy to include booster immunizations. However, the effect of diverse and repeated antigen exposures on SARS-CoV-2 memory T cells is poorly understood. Here, we utilize DNA-barcoded MHC-multimers combined with scRNAseq and scTCRseq to capture the ex vivo profile of SARS-CoV-2-responsive T cells within a cohort of individuals with one, two, or three antigen exposures, including vaccination, primary infection, and breakthrough infection. We found that the order of exposure determined the relative distribution between spike- and non-spike-specific responses, with vaccination after infection leading to further expansion of spike-specific T cells and differentiation to a CCR7-CD45RA+ effector phenotype. In contrast, individuals experiencing a breakthrough infection mount vigorous non-spike-specific responses. In-depth analysis of over 4,000 epitope-specific T cell receptor sequences demonstrates that all types of exposures elicit diverse repertoires characterized by shared, dominant TCR motifs, with no evidence for repertoire narrowing from repeated exposure. Our findings suggest that breakthrough infections diversify the T cell memory repertoire and that current vaccination protocols continue to expand and differentiate spike-specific memory responses.
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Affiliation(s)
| | - Mikhail V. Pogorelyy
- Department of Immunology, St. Jude Children’s Research Hospital, Memphis, TN USA
| | - Allison M. Kirk
- Department of Immunology, St. Jude Children’s Research Hospital, Memphis, TN USA
| | | | - E. Kaitlynn Allen
- Department of Immunology, St. Jude Children’s Research Hospital, Memphis, TN USA
| | - Ching-Heng Chou
- Department of Immunology, St. Jude Children’s Research Hospital, Memphis, TN USA
| | - Robert C. Mettelman
- Department of Immunology, St. Jude Children’s Research Hospital, Memphis, TN USA
| | - Kim J. Allison
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, TN USA
| | - Chun-Yang Lin
- Department of Immunology, St. Jude Children’s Research Hospital, Memphis, TN USA
| | - David C. Brice
- Department of Immunology, St. Jude Children’s Research Hospital, Memphis, TN USA
| | - Xun Zhu
- Center for Applied Bioinformatics, St. Jude Children’s Research Hospital, Memphis, TN USA
| | - Kasi Vegesana
- Information Services, St. Jude Children’s Research Hospital, Memphis, TN USA
| | - Gang Wu
- Center for Applied Bioinformatics, St. Jude Children’s Research Hospital, Memphis, TN USA
| | - Sanchit Trivedi
- Hartwell Center for Bioinformatics & Biotechnology, St. Jude Children’s Research Hospital, Memphis, TN USA
| | - Pratibha Kottapalli
- Hartwell Center for Bioinformatics & Biotechnology, St. Jude Children’s Research Hospital, Memphis, TN USA
| | - Daniel Darnell
- Hartwell Center for Bioinformatics & Biotechnology, St. Jude Children’s Research Hospital, Memphis, TN USA
| | - Suzanne McNeely
- Hartwell Center for Bioinformatics & Biotechnology, St. Jude Children’s Research Hospital, Memphis, TN USA
| | - Scott R. Olsen
- Hartwell Center for Bioinformatics & Biotechnology, St. Jude Children’s Research Hospital, Memphis, TN USA
| | - Stacey Schultz-Cherry
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, TN USA
| | - Jeremie H. Estepp
- Department of Global Pediatric Medicine, St. Jude Children’s Research Hospital, Memphis, TN USA
| | | | - Maureen A. McGargill
- Department of Immunology, St. Jude Children’s Research Hospital, Memphis, TN USA
| | - Joshua Wolf
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, TN USA
| | - Paul G. Thomas
- Department of Immunology, St. Jude Children’s Research Hospital, Memphis, TN USA
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3
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Drori Y, Pando R, Sefty H, Rosenberg A, Mendelson E, Keinan-Boker L, Shohat T, Mandelboim M, Glatman-Freedman A. Influenza vaccine effectiveness against laboratory-confirmed influenza in a vaccine-mismatched influenza B-dominant season. Vaccine 2020; 38:8387-8395. [PMID: 33243633 DOI: 10.1016/j.vaccine.2020.10.074] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 10/21/2020] [Accepted: 10/23/2020] [Indexed: 01/08/2023]
Abstract
BACKGROUND The 2017-2018 influenza season in Israel was characterized by the predominance of influenza B Yamagata, with a lesser circulation of influenza A(H1N1)pdm09 and influenza A(H3N2). We estimated vaccine effectiveness (VE) of the inactivated influenza vaccine which was selected for use that season. METHODS End-of-season VE and 95% confidence intervals (CI) against laboratory-confirmed influenza-like illness (ILI) were estimated by means of the test-negative design. Age-specific VE analysis was carried out using a moving age interval. RESULTS Specimen were obtained from 1,453 community ILI patients; 610 (42.0%) were influenza-positive, among which 69.7% were B, 17.2% A(H1N1)pdm09 and 13.4% A(H3N2). A 98.6% of molecularly characterized influenza B belonged to the Yamagata lineage. Of the sampled individuals, 1320 were suitable for VE analysis. Of those vaccinated, 90.6% received the inactivated trivalent influenza vaccine (TIV) containing a Victoria lineage influenza B-like virus. VE against influenza A differed by age, with the highest VE of 72.9% (95%CI 31.9-89.2%) observed in children 0.5-14 years old, while all ages VE was 46.6% (95%CI 10.4-68.2%). All ages VE against influenza B was 23.2% (95%CI -10.1-46.4%) with age-specific analysis showing non-significant VE estimates. Utilizing a moving age interval of 15 years, afforded a detailed age-specific insight into influenza VE against the influenza viruses circulating during the 2017-2018 season. CONCLUSIONS The moderate-high 2017-2018 influenza A VE among children and adolescents, supports seasonal influenza vaccination at a young age. The low VE against influenza B in Israel, is most likely the result of influenza B/TIV-mismatch.
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Affiliation(s)
- Y Drori
- Central Virology Laboratory, Chaim Sheba Medical Center, Israel Ministry of Health, Tel-Hashomer, Ramat Gan, Israel
| | - R Pando
- Central Virology Laboratory, Chaim Sheba Medical Center, Israel Ministry of Health, Tel-Hashomer, Ramat Gan, Israel; Israel Center for Disease Control, Ministry of Health, Tel Hashomer, Ramat Gan, Israel
| | - H Sefty
- Israel Center for Disease Control, Ministry of Health, Tel Hashomer, Ramat Gan, Israel
| | - A Rosenberg
- Israel Center for Disease Control, Ministry of Health, Tel Hashomer, Ramat Gan, Israel
| | - E Mendelson
- Central Virology Laboratory, Chaim Sheba Medical Center, Israel Ministry of Health, Tel-Hashomer, Ramat Gan, Israel; School of Public Health, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - L Keinan-Boker
- Israel Center for Disease Control, Ministry of Health, Tel Hashomer, Ramat Gan, Israel; School of Public Health, University of Haifa, Haifa, Israel
| | - T Shohat
- Israel Center for Disease Control, Ministry of Health, Tel Hashomer, Ramat Gan, Israel; School of Public Health, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - M Mandelboim
- Central Virology Laboratory, Chaim Sheba Medical Center, Israel Ministry of Health, Tel-Hashomer, Ramat Gan, Israel; School of Public Health, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - A Glatman-Freedman
- Israel Center for Disease Control, Ministry of Health, Tel Hashomer, Ramat Gan, Israel; School of Public Health, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
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Abstract
The adaptive immune response to influenza virus infection is multifaceted and complex, involving antibody and cellular responses at both systemic and mucosal levels. Immune responses to natural infection with influenza virus in humans are relatively broad and long-lived, but influenza viruses can escape from these responses over time owing to their high mutation rates and antigenic flexibility. Vaccines are the best available countermeasure against infection, but vaccine effectiveness is low compared with other viral vaccines, and the induced immune response is narrow and short-lived. Furthermore, inactivated influenza virus vaccines focus on the induction of systemic IgG responses but do not effectively induce mucosal IgA responses. Here, I review the differences between natural infection and vaccination in terms of the antibody responses they induce and how these responses protect against future infection. A better understanding of how natural infection induces broad and long-lived immune responses will be key to developing next-generation influenza virus vaccines.
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5
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Glatman-Freedman A, Pando R, Sefty H, Omer I, Rosenberg A, Drori Y, Nemet I, Mendelson E, Keinan-Boker L, Mandelboim M. Predominance of a Drifted Influenza A (H3N2) Clade and its Association with Age-specific Influenza Vaccine Effectiveness Variations, Influenza Season 2018-2019. Vaccines (Basel) 2020; 8:vaccines8010078. [PMID: 32050460 PMCID: PMC7157661 DOI: 10.3390/vaccines8010078] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 01/24/2020] [Accepted: 01/29/2020] [Indexed: 12/20/2022] Open
Abstract
Background: Influenza A (H3N2) clade 3C.3a was the predominant influenza virus in Israel throughout the 2018-2019 season, constituting a drift from the influenza A (H3N2) vaccine. We estimated the end-of season vaccine effectiveness (VE) by age, among community patients with influenza-like illness (ILI), considering the hemagglutinin (HA) gene mutations and amino acid substitutions of influenza A (H3N2) viruses detected. Methods: Nose-throat samples were analyzed for the presence of influenza virus, type/subtype, and HA gene sequence. HA gene sequences and amino acid substitutions were compared to the influenza A/Singapore/INFIMH-16-0019/2016 (H3N2)-like 2018-2019 vaccine virus, and a phylogenetic tree was generated. Influenza VE against influenza A (H3N2) was estimated using the test-negative design. VE was estimated by age group and by 15 year moving age intervals. Results: In total, 90% of the influenza A (H3N2) viruses belonged to the 3C.3a clade, constituting a unique situation in the northern hemisphere. Adjusted all-age influenza A (H3N2) VE was −3.5% (95% CI: −51.2 to 29.1). Although adjusted VEs were very low among infants, children, and young adults, a VE of 45% (95% CI: −19.2 to 74.6) was estimated among adults aged ≥45 years old. Conclusions: The higher VE point estimates among older adults may be related to previous exposure to similar influenza viruses.
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Affiliation(s)
- Aharona Glatman-Freedman
- Israel Center for Disease Control, Israel Ministry of Health, Tel Hashomer, Ramat Gan 5265601, Israel
- School of Public Health, Tel Aviv University Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
- Correspondence:
| | - Rakefet Pando
- Israel Center for Disease Control, Israel Ministry of Health, Tel Hashomer, Ramat Gan 5265601, Israel
- Central Virology Laboratory, Sheba Medical Center, Israel Ministry of Health, Tel Hashomer, Ramat Gan 5265601, Israel
| | - Hanna Sefty
- Israel Center for Disease Control, Israel Ministry of Health, Tel Hashomer, Ramat Gan 5265601, Israel
| | - Itay Omer
- School of Public Health, Tel Aviv University Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Alina Rosenberg
- Israel Center for Disease Control, Israel Ministry of Health, Tel Hashomer, Ramat Gan 5265601, Israel
| | - Yaron Drori
- School of Public Health, Tel Aviv University Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
- Central Virology Laboratory, Sheba Medical Center, Israel Ministry of Health, Tel Hashomer, Ramat Gan 5265601, Israel
| | - Ital Nemet
- Central Virology Laboratory, Sheba Medical Center, Israel Ministry of Health, Tel Hashomer, Ramat Gan 5265601, Israel
| | - Ella Mendelson
- School of Public Health, Tel Aviv University Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
- Central Virology Laboratory, Sheba Medical Center, Israel Ministry of Health, Tel Hashomer, Ramat Gan 5265601, Israel
| | - Lital Keinan-Boker
- Israel Center for Disease Control, Israel Ministry of Health, Tel Hashomer, Ramat Gan 5265601, Israel
- School of Public Health, University of Haifa, Haifa 3498838, Israel
| | - Michal Mandelboim
- School of Public Health, Tel Aviv University Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
- Central Virology Laboratory, Sheba Medical Center, Israel Ministry of Health, Tel Hashomer, Ramat Gan 5265601, Israel
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Khurana S, Hahn M, Coyle EM, King LR, Lin TL, Treanor J, Sant A, Golding H. Repeat vaccination reduces antibody affinity maturation across different influenza vaccine platforms in humans. Nat Commun 2019; 10:3338. [PMID: 31350391 PMCID: PMC6659679 DOI: 10.1038/s41467-019-11296-5] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Accepted: 06/26/2019] [Indexed: 01/09/2023] Open
Abstract
Several vaccines are approved in the United States for seasonal influenza vaccination every year. Here we compare the impact of repeat influenza vaccination on hemagglutination inhibition (HI) titers, antibody binding and affinity maturation to individual hemagglutinin (HA) domains, HA1 and HA2, across vaccine platforms. Fold change in HI and antibody binding to HA1 trends higher for H1N1pdm09 and H3N2 but not against B strains in groups vaccinated with FluBlok compared with FluCelvax and Fluzone. Antibody-affinity maturation occurs against HA1 domain of H1N1pdm09, H3N2 and B following vaccination with all vaccine platforms, but not against H1N1pdm09-HA2. Importantly, prior year vaccination of subjects receiving repeat vaccinations demonstrated reduced antibody-affinity maturation to HA1 of all three influenza virus strains irrespective of the vaccine platform. This study identifies an important impact of repeat vaccination on antibody-affinity maturation following vaccination, which may contribute to lower vaccine effectiveness of seasonal influenza vaccines in humans Here, Khurana et al. report the results of a phase 4 clinical trial with three FDA approved influenza vaccines and show that repeat influenza vaccination results in reduced antibody affinity maturation to hemagglutinin domain 1 irrespective of vaccine platform.
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Affiliation(s)
- Surender Khurana
- Division of Viral Products, Center for Biologics Evaluation and Research (CBER), FDA, Silver Spring, MD, 20993, USA.
| | - Megan Hahn
- Division of Viral Products, Center for Biologics Evaluation and Research (CBER), FDA, Silver Spring, MD, 20993, USA
| | - Elizabeth M Coyle
- Division of Viral Products, Center for Biologics Evaluation and Research (CBER), FDA, Silver Spring, MD, 20993, USA
| | - Lisa R King
- Division of Viral Products, Center for Biologics Evaluation and Research (CBER), FDA, Silver Spring, MD, 20993, USA
| | - Tsai-Lien Lin
- Division of Biostatistics, Center for Biologics Evaluation and Research (CBER), FDA, Silver Spring, MD, 20993, USA
| | - John Treanor
- University of Rochester Medical Center, Rochester, NY, 14642, USA
| | - Andrea Sant
- University of Rochester Medical Center, Rochester, NY, 14642, USA
| | - Hana Golding
- Division of Viral Products, Center for Biologics Evaluation and Research (CBER), FDA, Silver Spring, MD, 20993, USA
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Music N, Tzeng WP, Liaini Gross F, Levine MZ, Xu X, Shieh WJ, Tumpey TM, Katz JM, York IA. Repeated vaccination against matched H3N2 influenza virus gives less protection than single vaccination in ferrets. NPJ Vaccines 2019; 4:28. [PMID: 31312528 PMCID: PMC6616337 DOI: 10.1038/s41541-019-0123-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Accepted: 06/11/2019] [Indexed: 11/09/2022] Open
Abstract
Epidemiological studies suggest that humans who receive repeated annual immunization with influenza vaccine are less well protected against influenza than those who receive vaccine in the current season only. To better understand potential mechanisms underlying these observations, we vaccinated influenza-naive ferrets either twice, 10 months apart (repeated vaccination group; RV), or once (current season only group; CS), using a prime-boost regimen, and then challenged the ferrets with A/Hong Kong/4801/2014(H3N2). Ferrets that received either vaccine regimen were protected against influenza disease and infection relative to naive unvaccinated ferrets, but the RV group shed more virus, especially at the peak of virus shedding 2 days post infection (p < 0.001) and regained weight more slowly (p < 0.05) than those in the CS group. Qualitative, rather than quantitative, differences in the antibody response may affect protection after repeated influenza vaccination.
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Affiliation(s)
- Nedzad Music
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329 USA
- Present Address: Seqirus, A CSL Company, 50 Hampshire Street, Cambridge, MA 02139 USA
| | - Wen-Pin Tzeng
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329 USA
| | - F. Liaini Gross
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329 USA
| | - Min Z. Levine
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329 USA
| | - Xiyan Xu
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329 USA
| | - Wun-Ju Shieh
- Infectious Diseases Pathology Branch, Division of High Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA USA
| | - Terrence M. Tumpey
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329 USA
| | - Jacqueline M. Katz
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329 USA
| | - Ian A. York
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329 USA
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8
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Price OH, Carville KS, Sullivan SG. Right sizing for vaccine effectiveness studies: how many is enough for reliable estimation? Commun Dis Intell (2018) 2019. [DOI: 10.33321/cdi.2019.43.20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Background The precision of vaccine effectiveness (VE) estimates is dependent on sample size and sampling methods. In Victoria, participating general practitioners (GPs) are not limited by the number of influenza-like illness (ILI) patients they collect respiratory samples (swabs) from in sentinel surveillance. However, in the context of scarce resources it is of interest to determine the minimum sample size needed for reliable estimates. Methods Following the test-negative design, patients with ILI were recruited by GPs and tested for influenza. Descriptive analyses were conducted to assess possible selection bias introduced by GPs. VE was calculated by logistic regression as [1 – odds ratio] x 100% and adjusted for week of presentation and age. Random 20% and 50% samples were selected without replacement to estimate the effect of swab rates on VE estimates. Results GPs swabbed a smaller proportion of patients aged ≥65 years (45.9%, n=238) than those <5 (75.6%, n=288), 5–17 (67.9%, n=547) and 18–64 (75.6%, n=2662) years. Decreasing the swab rate did not alter VE point estimates significantly. However, it reduced the precision of estimates and in some instances resulted in too small a sample size to estimate VE. Conclusion Imposing a 20% or 50% swabbing rate produces less robust VE estimates. The number of swabs required per year to produce precise estimates should be dictated by seasonal severity, rather than an arbitrary rate. It would be beneficial for GPs to swab patients systematically by age group to ensure there are sufficient data to investigate VE against a particular subtype in a given age group.
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Affiliation(s)
- Olivia H Price
- 1-WHO Collaborating Centre for Reference and Research on Influenza, at the Peter Doherty Institute for Infection and Immunity, Victoria 3000 Australia 2- School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Kylie S Carville
- Victorian Infectious Diseases Reference Laboratory, at the Peter Doherty Institute for Infection and Immunity, Victoria 3000 Australia
| | - Sheena G Sullivan
- 1-WHO Collaborating Centre for Reference and Research on Influenza, at the Peter Doherty Institute for Infection and Immunity, Victoria 3000 Australia 2-School of Population and Global Health, University of Melbourne, Melbourne, Australia
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9
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Puig-Barberà J, Guglieri-López B, Tortajada-Girbés M, López-Labrador FX, Carballido-Fernández M, Mollar-Maseres J, Schwarz-Chavarri G, Baselga-Moreno V, Mira-Iglesias A, Díez-Domingo J. Low influenza vaccine effectiveness and the effect of previous vaccination in preventing admission with A(H1N1)pdm09 or B/Victoria-Lineage in patients 60 years old or older during the 2015/2016 influenza season. Vaccine 2017; 35:7331-7338. [PMID: 29128380 DOI: 10.1016/j.vaccine.2017.10.100] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Revised: 09/15/2017] [Accepted: 10/31/2017] [Indexed: 11/30/2022]
Abstract
BACKGROUND The 2015/2016 influenza season was characterized in Europe by the circulation of A(H1N1)pdm09 clade 6B.1 and B/Victoria-lineage influenza viruses. The components of the vaccines used in the current and past two seasons in the Valencia region were similar but not well matched to the 2015/2016 dominant influenza-circulating strains. We estimate influenza vaccine effectiveness (IVE) and interference of previous vaccination in preventing admission with A(H1N1)pdm09 or B/Victoria-lineage in this particular season. METHODS The Valencia Hospital Network for the Study of Influenza runs an active surveillance hospital-based study to collect clinical and virological data from consecutive admissions possibly related to influenza. Combined nasopharyngeal and pharyngeal swabs are analyzed by reverse transcription polymerase chain reaction, and the hemagglutinin is sequenced in a sample of positive influenza specimens. Vaccination is ascertained consulting a population vaccine information system. We estimate IVE using a test-negative approach. RESULTS During the 2015-2016 season, we recruited 1049 eligible admissions of patients 60 years or older, and 187 tested positive for influenza. The adjusted IVE in preventing admission with A(H1N1)pdm09 was 20.2%; 95% confidence interval (CI) -21.3-47.5% and -33.2%; 95% CI, -140.1-26.1% in preventing admission with B/Victoria-lineage. The majority of A(H1N1)pdm09 sequenced viruses belonged to the emerging 6B.1 subclade, defined by S162N and I216T mutations in the hemagglutinin protein. When we restricted our analysis to those not vaccinated in the previous year, unadjusted IVE was 84.9% (95% CI 9.9-100.0) overall, 77.9% (-32.7-100.0%) in preventing A(H1N1)pdm09 and 48.8% (-219.5-100.0%) in preventing B/Yamagata-lineage admission. CONCLUSIONS Our findings indicate that IVE was low in preventing A(H1N1)pdm09 and strongly correlated with vaccination in the previous season. No effect in preventing admission with B/Victoria-lineage was observed. For the 2015/2016 season, IVE was low due to a mismatch and lack of concordance between the circulating and vaccine viruses.
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Affiliation(s)
- Joan Puig-Barberà
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), Valencia, Spain; Centro de Salud Pública de Castellón, Castellón, Spain.
| | - Beatriz Guglieri-López
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), Valencia, Spain
| | | | - F Xavier López-Labrador
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), Valencia, Spain; Consorcio de Investigación Biomédica de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | | | | | | | - Víctor Baselga-Moreno
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), Valencia, Spain
| | - Ainara Mira-Iglesias
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), Valencia, Spain
| | - Javier Díez-Domingo
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), Valencia, Spain
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Monto AS, Malosh RE, Petrie JG, Martin ET. The Doctrine of Original Antigenic Sin: Separating Good From Evil. J Infect Dis 2017; 215:1782-1788. [PMID: 28398521 PMCID: PMC5853211 DOI: 10.1093/infdis/jix173] [Citation(s) in RCA: 118] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Accepted: 04/05/2017] [Indexed: 11/18/2022] Open
Abstract
The term “original antigenic sin” was coined approximately 60 years ago to describe the imprinting by the initial first influenza A virus infection on the antibody response to subsequent vaccination. These studies did not suggest a reduction in the response to current antigens but instead suggested anamnestic recall of antibody to earlier influenza virus strains. Then, approximately 40 years ago, it was observed that sequential influenza vaccination might lead to reduced vaccine effectiveness (VE). This conclusion was largely dismissed after an experimental study involving sequential administration of then-standard influenza vaccines. Recent observations have provided convincing evidence that reduced VE after sequential influenza vaccination is a real phenomenon. We propose that such reduction in VE be termed “negative antigenic interaction,” given that there is no age cohort effect. In contrast, the potentially positive protective effect of early influenza virus infection later in life continues to be observed. It is essential that we understand better the immunologic factors underlying both original antigenic sin and negative antigenic interaction, to support development of improved influenza vaccines and vaccination strategies.
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Affiliation(s)
- Arnold S Monto
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
| | - Ryan E Malosh
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
| | - Joshua G Petrie
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
| | - Emily T Martin
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
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