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Huang CQ, Vishwanath S, Carnell GW, Chan ACY, Heeney JL. Immune imprinting and next-generation coronavirus vaccines. Nat Microbiol 2023; 8:1971-1985. [PMID: 37932355 DOI: 10.1038/s41564-023-01505-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 09/13/2023] [Indexed: 11/08/2023]
Abstract
Vaccines based on historical virus isolates provide limited protection from continuously evolving RNA viruses, such as influenza viruses or coronaviruses, which occasionally spill over between animals and humans. Despite repeated booster immunizations, population-wide declines in the neutralization of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants have occurred. This has been compared to seasonal influenza vaccinations in humans, where the breadth of immune responses induced by repeat exposures to antigenically distinct influenza viruses is confounded by pre-existing immunity-a mechanism known as imprinting. Since its emergence, SARS-CoV-2 has evolved in a population with partial immunity, acquired by infection, vaccination or both. Here we critically examine the evidence for and against immune imprinting in host humoral responses to SARS-CoV-2 and its implications for coronavirus disease 2019 (COVID-19) booster vaccine programmes.
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Affiliation(s)
- Chloe Qingzhou Huang
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Sneha Vishwanath
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - George William Carnell
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Andrew Chun Yue Chan
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Jonathan Luke Heeney
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK.
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2
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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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3
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Animal Models Utilized for the Development of Influenza Virus Vaccines. Vaccines (Basel) 2021; 9:vaccines9070787. [PMID: 34358203 PMCID: PMC8310120 DOI: 10.3390/vaccines9070787] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 07/08/2021] [Accepted: 07/10/2021] [Indexed: 12/25/2022] Open
Abstract
Animal models have been an important tool for the development of influenza virus vaccines since the 1940s. Over the past 80 years, influenza virus vaccines have evolved into more complex formulations, including trivalent and quadrivalent inactivated vaccines, live-attenuated vaccines, and subunit vaccines. However, annual effectiveness data shows that current vaccines have varying levels of protection that range between 40–60% and must be reformulated every few years to combat antigenic drift. To address these issues, novel influenza virus vaccines are currently in development. These vaccines rely heavily on animal models to determine efficacy and immunogenicity. In this review, we describe seasonal and novel influenza virus vaccines and highlight important animal models used to develop them.
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Abstract
We review the phenomenon of "original antigenic sin" (OAS) in antibody responses to influenza A virus (IAV) infection or vaccination. OAS refers to the preferential induction of antibodies with higher affinity to priming versus boosting immunogens. We emphasize its mechanistic basis and origins in the basic immunobiology of B-cell responses to myriad immunogens. We tabulate 23 studies in animals and humans to show that the magnitude of OAS depends on many variables. We discuss a number of misconceptions about OAS, examine the extent to which OAS is sinful, and argue that OAS is evolutionary selected and not a deleterious by-product of selection for other features of the immune response. We end by raising questions regarding the mechanistic basis of OAS whose answers could contribute to improving influenza virus vaccines on the road to the holy grail of a "universal" influenza vaccine.
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Affiliation(s)
- Jonathan W Yewdell
- Cellular Biology Section, Laboratory of Viral Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Jefferson J S Santos
- Cellular Biology Section, Laboratory of Viral Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA
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Patwardhan A, Ohler A. The Flu Vaccination May Have a Protective Effect on the Course of COVID-19 in the Pediatric Population: When Does Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Meet Influenza? Cureus 2021; 13:e12533. [PMID: 33425565 PMCID: PMC7789051 DOI: 10.7759/cureus.12533] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/06/2021] [Indexed: 01/05/2023] Open
Abstract
Background In the midst of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, a lot more chaos could be anticipated in the flu season due to the coexistence of SARS-CoV-2 and influenza with almost similar epidemiologic and clinical features. Could this become a "twindemic" or "syndemic" if there is any viral interference occurs? We investigated the effect of influenza and pneumococcal vaccines on the disease course of SARS-CoV-2 in the pediatric population and the possibility of viral interference. Material and methods After approval from Institutional Review Board, a retrospective electronic chart review on 20 years and younger SARS-CoV-2 polymerase chain reaction (PCR) positive patients who visited Arkansas Children's Hospital System between February 1 to August 30, 2020, was performed. The clinical data was collected along with influenza and pneumococcal vaccination status of these patients. Results The results showed that viral interference may have played a role in the current flu and coronavirus disease 2019 (COVID-19) twindemic. SARS-CoV-2 and influenza may have significantly affected each other's epidemiological features. Conclusion Understanding the relationship and co-existence of other viruses alongside SARS-CoV-2 and knowing the vaccination status of the host population may help in deploying the right strategies to get the best outcomes.
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Affiliation(s)
| | - Adrienne Ohler
- Child Health Research Institute, University of Missouri School of Medicine, Columbia, USA
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Kase T, Inoue M, Morikawa S, Kumashiro H, Hiroi S, Nakata K, Ito K, Ishibashi M, Tsuru T, Irie S, Maeda A, Ohfuji S, Fukushima W, Hirota Y. Comparison of immunogenicity between candidate influenza A(H3N2) virus vaccine strains in Japan: A randomized controlled trial using a monovalent vaccine of A/Saitama/103/2014 (CEXP-002) and A/Hong Kong/4801/2014 (X-263). Vaccine 2020; 38:6524-6532. [PMID: 32873406 DOI: 10.1016/j.vaccine.2020.08.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 07/13/2020] [Accepted: 08/11/2020] [Indexed: 11/29/2022]
Abstract
BACKGROUND For the 2017-18 influenza season, A/Saitama/103/2014 (CEXP-002) (Saitama strain) was antigenically more similar to prior circulating strains than A/Hong Kong/4801/2014 (X-263) (Hong Kong strain) in a ferret model and was selected as the A(H3N2) vaccine virus strain in Japan. However, the Saitama strain grew poorly, and the Japanese government switched to the Hong Kong strain, raising public concerns of poor effectiveness. To enhance understanding of the correlation between antigenicity in experimental models and immunogenicity, as a surrogate measure of vaccine effectiveness, in the human population, we compared the immunogenicity of specially-prepared single dose monovalent influenza A(H3N2) vaccines containing the Saitama or the Hong Kong strain. METHODS A randomized controlled trial of 100 healthy adults aged 20-64 years (n = 50/group) was conducted. Virus neutralization assay was performed on sera from days 0 (pre-vaccination) and 21 (post-vaccination). Geometric mean titer (GMT), mean fold rise (MFR), seroconversion proportion (SCP), and seroprotection proportion (SPP) were calculated for vaccine strains and a representative circulating A(H3N2) virus strain (A/Osaka/188/2017). RESULTS For the Hong Kong strain, post-vaccination GMT was significantly higher in the Hong Kong vaccine recipients (1:546 vs 1:260, p < 0.01), but MFR, SCP, and SPP were similar for both vaccine groups. For the Saitama strain, post-vaccination GMT (1:116 vs 1:61, p = 0.01) and SPP (86% vs 68%, p = 0.03) were significantly higher in the Hong Kong vaccine recipients, but MFR and SCP were similar for both vaccine groups. Against A/Osaka/188/2017, post-vaccination GMT and MFR were similar in both vaccine groups, but SCP (32% vs 4%, p < 0.01) and SPP (28% vs. 6%, p < 0.01) were significantly higher in the Hong Kong vaccine recipients. CONCLUSION The Hong Kong vaccine induced better or equivalent immunogenicity in comparison to the Saitama vaccine. Our trial showed that antigenic similarity in experimental models does not necessarily correlate with immunogenicity in the human population. CLINICAL TRIAL REGISTRATION UMIN000029293.
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Affiliation(s)
- Tetsuo Kase
- Department of Public Health, Osaka City University Graduate School of Medicine, Osaka, Japan; Research Center for Infectious Disease Sciences, Osaka City University Graduate School of Medicine, Osaka, Japan
| | | | - Saeko Morikawa
- Department of Virology, Osaka Institute of Public Health, Osaka, Japan
| | | | - Satoshi Hiroi
- Department of Virology, Osaka Institute of Public Health, Osaka, Japan
| | - Keiko Nakata
- Department of Virology, Osaka Institute of Public Health, Osaka, Japan
| | - Kazuya Ito
- Department of Public Health, Osaka City University Graduate School of Medicine, Osaka, Japan; Research Center for Infectious Disease Sciences, Osaka City University Graduate School of Medicine, Osaka, Japan; Healthcare Management, College of Healthcare Management, Miyama, Japan; Clinical Epidemiology Research Center, SOUSEIKAI, Fukuoka, Japan
| | | | | | | | - Akiko Maeda
- Department of Public Health, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Satoko Ohfuji
- Department of Public Health, Osaka City University Graduate School of Medicine, Osaka, Japan; Research Center for Infectious Disease Sciences, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Wakaba Fukushima
- Department of Public Health, Osaka City University Graduate School of Medicine, Osaka, Japan; Research Center for Infectious Disease Sciences, Osaka City University Graduate School of Medicine, Osaka, Japan.
| | - Yoshio Hirota
- Clinical Epidemiology Research Center, SOUSEIKAI, Fukuoka, Japan; College of Healthcare Management, Miyama, Japan
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7
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Viboud C, Gostic K, Nelson MI, Price GE, Perofsky A, Sun K, Sequeira Trovão N, Cowling BJ, Epstein SL, Spiro DJ. Beyond clinical trials: Evolutionary and epidemiological considerations for development of a universal influenza vaccine. PLoS Pathog 2020; 16:e1008583. [PMID: 32970783 PMCID: PMC7514029 DOI: 10.1371/journal.ppat.1008583] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
The prospect of universal influenza vaccines is generating much interest and research at the intersection of immunology, epidemiology, and viral evolution. While the current focus is on developing a vaccine that elicits a broadly cross-reactive immune response in clinical trials, there are important downstream questions about global deployment of a universal influenza vaccine that should be explored to minimize unintended consequences and maximize benefits. Here, we review and synthesize the questions most relevant to predicting the population benefits of universal influenza vaccines and discuss how existing information could be mined to begin to address these questions. We review three research topics where computational modeling could bring valuable evidence: immune imprinting, viral evolution, and transmission. We address the positive and negative consequences of imprinting, in which early childhood exposure to influenza shapes and limits immune responses to future infections via memory of conserved influenza antigens. However, the mechanisms at play, their effectiveness, breadth of protection, and the ability to "reprogram" already imprinted individuals, remains heavily debated. We describe instances of rapid influenza evolution that illustrate the plasticity of the influenza virus in the face of drug pressure and discuss how novel vaccines could introduce new selective pressures on the evolution of the virus. We examine the possible unintended consequences of broadly protective (but infection-permissive) vaccines on the dynamics of epidemic and pandemic influenza, compared to conventional vaccines that have been shown to provide herd immunity benefits. In conclusion, computational modeling offers a valuable tool to anticipate the benefits of ambitious universal influenza vaccine programs, while balancing the risks from endemic influenza strains and unpredictable pandemic viruses. Moving forward, it will be important to mine the vast amount of data generated in clinical studies of universal influenza vaccines to ensure that the benefits and consequences of these vaccine programs have been carefully modeled and explored.
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Affiliation(s)
- Cécile Viboud
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States
- * E-mail:
| | - Katelyn Gostic
- Dept. of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, California, United States
- Dept. of Ecology and Evolution, University of Chicago, Chicago, Illinois, United States
| | - Martha I. Nelson
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States
| | - Graeme E. Price
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, United States
| | - Amanda Perofsky
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States
| | - Kaiyuan Sun
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States
| | - Nídia Sequeira Trovão
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States
| | - Benjamin J. Cowling
- World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Suzanne L. Epstein
- Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, United States
| | - David J. Spiro
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States
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Abstract
Introduction: High variance is associated with influenza vaccine effectiveness (VE). Accumulating evidence suggests that preexisting influenza-specific immunity results in the variance in VE and skews overall immune response to vaccination. Nevertheless, the investigation of preexisting immunity is highly limited due to the lack of proper methodology to explore the complex individual immune history.Areas covered: Retrospective observational studies have shown that the preexisting influenza specific immunity influences on VE. To simplify a discussion, we summarized important findings from the observational studies based on the transition of the individual immune history: the first exposure to influenza virus, the first vaccination, and repetitive exposure throughout life. We also discussed the prospectus of pre-immunized animal models to investigate the interaction between preexisting immunity and vaccine efficacy.Expert opinion: A better understanding in the underlying mechanisms on preexisting immunity is critical to improve VE and to help develop novel vaccine strategies. Using animals pre-immunized with historical influenza strains is a promising approach to verify the underlying immunologic mechanism of interaction between preexisting immunity and vaccine antigen. Also, pre-immunized animal models will be better able to evaluate the efficacy of novel vaccine strategies than naïve animals.
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Affiliation(s)
- Hyesun Jang
- Center for Vaccines and Immunology, University of Georgia, Athens, GA, USA
| | - Ted M Ross
- Center for Vaccines and Immunology, University of Georgia, Athens, GA, USA.,Department of Infectious Diseases, University of Georgia, Athens, GA, USA
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9
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Padilla-Quirarte HO, Lopez-Guerrero DV, Gutierrez-Xicotencatl L, Esquivel-Guadarrama F. Protective Antibodies Against Influenza Proteins. Front Immunol 2019; 10:1677. [PMID: 31379866 PMCID: PMC6657620 DOI: 10.3389/fimmu.2019.01677] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2019] [Accepted: 07/04/2019] [Indexed: 12/21/2022] Open
Abstract
The influenza A virus infection continues to be a threat to the human population. The seasonal variation of the virus and the likelihood of periodical pandemics caused by completely new virus strains make it difficult to produce vaccines that efficiently protect against this infection. Antibodies (Abs) are very important in preventing the infection and in blocking virus propagation once the infection has taken place. However, the precise protection mechanism provided by these Abs still needs to be established. Furthermore, most research has focused on Abs directed to the globular head domain of hemagglutinin (HA). However, other domains of HA (like the stem) and other proteins are also able to elicit protective Ab responses. In this article, we review the current knowledge about the role of both neutralizing and non-neutralizing anti-influenza proteins Abs that play a protective role during infection or vaccination.
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Affiliation(s)
- Herbey O Padilla-Quirarte
- LIV, Facultad de Medicina, Universidad Autonoma del Estado de Morelos, Cuernavaca, Mexico.,Instituto de Biotecnologia, Universidad Nacional Autonoma de Mexico, Cuernavaca, Mexico
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10
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Gagnon A, Acosta E, Miller MS. Reporting and evaluating influenza virus surveillance data: An argument for incidence by single year of age. Vaccine 2018; 36:6249-6252. [PMID: 30219370 DOI: 10.1016/j.vaccine.2018.08.077] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Revised: 08/29/2018] [Accepted: 08/30/2018] [Indexed: 11/15/2022]
Affiliation(s)
- Alain Gagnon
- Département de démographie, Université de Montréal, Canada; Public Health Research Institute (IRSPUM), Université de Montréal, Canada
| | - Enrique Acosta
- Département de démographie, Université de Montréal, Canada; Max Planck Institute for Demographic Research, Rostock, Germany
| | - Matthew S Miller
- Michael G. DeGroote Institute for Infectious Diseases Research, McMaster Immunology Research Centre, Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Canada.
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11
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Carter DM, Darby CA, Johnson SK, Carlock MA, Kirchenbaum GA, Allen JD, Vogel TU, Delagrave S, DiNapoli J, Kleanthous H, Ross TM. Elicitation of Protective Antibodies against a Broad Panel of H1N1 Viruses in Ferrets Preimmune to Historical H1N1 Influenza Viruses. J Virol 2017; 91:e01283-17. [PMID: 28978709 PMCID: PMC5709581 DOI: 10.1128/jvi.01283-17] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Accepted: 09/13/2017] [Indexed: 11/20/2022] Open
Abstract
Most preclinical animal studies test influenza vaccines in immunologically naive animal models, even though the results of vaccination may not accurately reflect the effectiveness of vaccine candidates in humans that have preexisting immunity to influenza. In this study, novel, broadly reactive influenza vaccine candidates were assessed in preimmune ferrets. These animals were infected with different H1N1 isolates before being vaccinated or infected with another influenza virus. Previously, our group has described the design and characterization of computationally optimized broadly reactive hemagglutinin (HA) antigens (COBRA) for H1N1 isolates. Vaccinating ferrets with virus-like particle (VLP) vaccines expressing COBRA HA proteins elicited antibodies with hemagglutination inhibition (HAI) activity against more H1N1 viruses in the panel than VLP vaccines expressing wild-type HA proteins. Specifically, ferrets infected with the 1986 virus and vaccinated with a single dose of the COBRA HA VLP vaccines elicited antibodies with HAI activity against 11 to 14 of the 15 H1N1 viruses isolated between 1934 and 2013. A subset of ferrets was infected with influenza viruses expressing the COBRA HA antigens. These COBRA preimmune ferrets had superior breadth of HAI activity after vaccination with COBRA HA VLP vaccines than COBRA preimmune ferrets vaccinated with VLP vaccines expressing wild-type HA proteins. Overall, priming naive ferrets with COBRA HA based viruses or using COBRA HA based vaccines to boost preexisting antibodies induced by wild-type H1N1 viruses, COBRA HA antigens elicited sera with the broadest HAI reactivity against multiple antigenic H1N1 viral variants. This is the first report demonstrating the effectiveness of a broadly reactive or universal influenza vaccine in a preimmune ferret model.IMPORTANCE Currently, many groups are testing influenza vaccine candidates to meet the challenge of developing a vaccine that elicits broadly reactive and long-lasting protective immune responses. The goal of these vaccines is to stimulate immune responses that react against most, if not all, circulating influenza strains, over a long period of time in all populations of people. Commonly, these experimental vaccines are tested in naive animal models that do not have anti-influenza immune responses; however, humans have preexisting immunity to influenza viral antigens, particularly antibodies to the HA and NA glycoproteins. Therefore, this study investigated how preexisting antibodies to historical influenza viruses influenced HAI-specific antibodies and protective efficacy using a broadly protective vaccine candidate.
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MESH Headings
- Animals
- Antibodies, Viral/biosynthesis
- Antibodies, Viral/immunology
- Antigens, Viral/immunology
- Ferrets
- Hemagglutination Inhibition Tests
- Hemagglutinin Glycoproteins, Influenza Virus/immunology
- Humans
- Influenza A Virus, H1N1 Subtype/classification
- Influenza A Virus, H1N1 Subtype/immunology
- Influenza Vaccines/administration & dosage
- Influenza Vaccines/immunology
- Influenza, Human/immunology
- Influenza, Human/prevention & control
- Orthomyxoviridae Infections/immunology
- Orthomyxoviridae Infections/prevention & control
- Orthomyxoviridae Infections/virology
- Vaccines, Virus-Like Particle/administration & dosage
- Vaccines, Virus-Like Particle/immunology
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Affiliation(s)
- Donald M Carter
- Center for Vaccines and Immunology, University of Georgia, Athens, Georgia, USA
- Department of Infectious Diseases, University of Georgia, Athens, Georgia, USA
| | - Christopher A Darby
- Center for Vaccines and Immunology, University of Georgia, Athens, Georgia, USA
| | - Scott K Johnson
- Center for Vaccines and Immunology, University of Georgia, Athens, Georgia, USA
| | - Michael A Carlock
- Center for Vaccines and Immunology, University of Georgia, Athens, Georgia, USA
| | - Greg A Kirchenbaum
- Center for Vaccines and Immunology, University of Georgia, Athens, Georgia, USA
| | - James D Allen
- Center for Vaccines and Immunology, University of Georgia, Athens, Georgia, USA
| | - Thorsten U Vogel
- Sanofi-Pasteur, Inc., Discovery North America, Cambridge, Massachusetts, USA
| | - Simon Delagrave
- Sanofi-Pasteur, Inc., Discovery North America, Cambridge, Massachusetts, USA
| | - Joshua DiNapoli
- Sanofi-Pasteur, Inc., Discovery North America, Cambridge, Massachusetts, USA
| | - Harold Kleanthous
- Sanofi-Pasteur, Inc., Discovery North America, Cambridge, Massachusetts, USA
| | - Ted M Ross
- Center for Vaccines and Immunology, University of Georgia, Athens, Georgia, USA
- Department of Infectious Diseases, University of Georgia, Athens, Georgia, USA
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12
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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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Vatti A, Monsalve DM, Pacheco Y, Chang C, Anaya JM, Gershwin ME. Original antigenic sin: A comprehensive review. J Autoimmun 2017; 83:12-21. [DOI: 10.1016/j.jaut.2017.04.008] [Citation(s) in RCA: 137] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Revised: 04/24/2017] [Accepted: 04/25/2017] [Indexed: 10/19/2022]
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Henry C, Palm AKE, Krammer F, Wilson PC. From Original Antigenic Sin to the Universal Influenza Virus Vaccine. Trends Immunol 2017; 39:70-79. [PMID: 28867526 DOI: 10.1016/j.it.2017.08.003] [Citation(s) in RCA: 182] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Revised: 08/07/2017] [Accepted: 08/08/2017] [Indexed: 01/15/2023]
Abstract
Antibody responses are essential for protection against influenza virus infection. Humans are exposed to a multitude of influenza viruses throughout their lifetime and it is clear that immune history influences the magnitude and quality of the antibody response. The 'original antigenic sin' concept refers to the impact of the first influenza virus variant encounter on lifelong immunity. Although this model has been challenged since its discovery, past exposure, and likely one's first exposure, clearly affects the epitopes targeted in subsequent responses. Understanding how previous exposure to influenza virus shapes antibody responses to vaccination and infection is critical, especially with the prospect of future pandemics and for the effective development of a universal influenza vaccine.
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Affiliation(s)
- Carole Henry
- Department of Medicine, Section of Rheumatology, The Knapp Center for Lupus and Immunology Research, The University of Chicago, Chicago, IL 60637, USA.
| | - Anna-Karin E Palm
- Department of Medicine, Section of Rheumatology, The Knapp Center for Lupus and Immunology Research, The University of Chicago, Chicago, IL 60637, USA
| | - Florian Krammer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Patrick C Wilson
- Department of Medicine, Section of Rheumatology, The Knapp Center for Lupus and Immunology Research, The University of Chicago, Chicago, IL 60637, USA; Committee on Immunology, The University of Chicago, Chicago, IL 60637, USA.
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15
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Is antigenic sin always "original?" Re-examining the evidence regarding circulation of a human H1 influenza virus immediately prior to the 1918 Spanish flu. PLoS Pathog 2015; 11:e1004615. [PMID: 25742615 PMCID: PMC4351064 DOI: 10.1371/journal.ppat.1004615] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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16
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Fonville JM, Wilks SH, James SL, Fox A, Ventresca M, Aban M, Xue L, Jones TC, Le NMH, Pham QT, Tran ND, Wong Y, Mosterin A, Katzelnick LC, Labonte D, Le TT, van der Net G, Skepner E, Russell CA, Kaplan TD, Rimmelzwaan GF, Masurel N, de Jong JC, Palache A, Beyer WEP, Le QM, Nguyen TH, Wertheim HFL, Hurt AC, Osterhaus ADME, Barr IG, Fouchier RAM, Horby PW, Smith DJ. Antibody landscapes after influenza virus infection or vaccination. Science 2014; 346:996-1000. [PMID: 25414313 PMCID: PMC4246172 DOI: 10.1126/science.1256427] [Citation(s) in RCA: 329] [Impact Index Per Article: 32.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
We introduce the antibody landscape, a method for the quantitative analysis of antibody-mediated immunity to antigenically variable pathogens, achieved by accounting for antigenic variation among pathogen strains. We generated antibody landscapes to study immune profiles covering 43 years of influenza A/H3N2 virus evolution for 69 individuals monitored for infection over 6 years and for 225 individuals pre- and postvaccination. Upon infection and vaccination, titers increased broadly, including previously encountered viruses far beyond the extent of cross-reactivity observed after a primary infection. We explored implications for vaccination and found that the use of an antigenically advanced virus had the dual benefit of inducing antibodies against both advanced and previous antigenic clusters. These results indicate that preemptive vaccine updates may improve influenza vaccine efficacy in previously exposed individuals.
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Affiliation(s)
- J. M. Fonville
- Center for Pathogen Evolution, Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
- WHO Collaborating Center for Modeling, Evolution, and Control of Emerging Infectious Diseases, Cambridge CB2 3EJ, UK
- Department of Viroscience, Erasmus Medical Center, Rotterdam 3015 CE, the Netherlands
| | - S. H. Wilks
- Center for Pathogen Evolution, Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
- WHO Collaborating Center for Modeling, Evolution, and Control of Emerging Infectious Diseases, Cambridge CB2 3EJ, UK
| | - S. L. James
- Center for Pathogen Evolution, Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
- WHO Collaborating Center for Modeling, Evolution, and Control of Emerging Infectious Diseases, Cambridge CB2 3EJ, UK
| | - A. Fox
- Oxford University Clinical Research Unit and Wellcome Trust Major Overseas Programme, Hanoi, Vietnam
| | - M. Ventresca
- Center for Pathogen Evolution, Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
| | - M. Aban
- WHO Collaborating Centre for Reference and Research on Influenza, VIDRL at the Peter Doherty Institute for Infection and Immunity, Melbourne VIC 3000, Australia
| | - L. Xue
- WHO Collaborating Centre for Reference and Research on Influenza, VIDRL at the Peter Doherty Institute for Infection and Immunity, Melbourne VIC 3000, Australia
| | - T. C. Jones
- Center for Pathogen Evolution, Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
- WHO Collaborating Center for Modeling, Evolution, and Control of Emerging Infectious Diseases, Cambridge CB2 3EJ, UK
| | - N. M. H. Le
- Oxford University Clinical Research Unit and Wellcome Trust Major Overseas Programme, Hanoi, Vietnam
| | - Q. T. Pham
- National Institute of Hygiene and Epidemiology, Hanoi, Vietnam
| | - N. D. Tran
- National Institute of Hygiene and Epidemiology, Hanoi, Vietnam
| | - Y. Wong
- Oxford University Museum of Natural History, Oxford OX1 3PW, UK
| | - A. Mosterin
- Center for Pathogen Evolution, Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
- WHO Collaborating Center for Modeling, Evolution, and Control of Emerging Infectious Diseases, Cambridge CB2 3EJ, UK
| | - L. C. Katzelnick
- Center for Pathogen Evolution, Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
- WHO Collaborating Center for Modeling, Evolution, and Control of Emerging Infectious Diseases, Cambridge CB2 3EJ, UK
| | - D. Labonte
- Insect Biomechanics Group, Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
| | - T. T. Le
- National Institute of Hygiene and Epidemiology, Hanoi, Vietnam
| | - G. van der Net
- Department of Viroscience, Erasmus Medical Center, Rotterdam 3015 CE, the Netherlands
| | - E. Skepner
- Center for Pathogen Evolution, Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
- WHO Collaborating Center for Modeling, Evolution, and Control of Emerging Infectious Diseases, Cambridge CB2 3EJ, UK
| | - C. A. Russell
- WHO Collaborating Center for Modeling, Evolution, and Control of Emerging Infectious Diseases, Cambridge CB2 3EJ, UK
- Department of Veterinary Medicine, University of Cambridge, Cambridge CB3 0ES, UK
| | | | - G. F. Rimmelzwaan
- Department of Viroscience, Erasmus Medical Center, Rotterdam 3015 CE, the Netherlands
| | - N. Masurel
- Department of Viroscience, Erasmus Medical Center, Rotterdam 3015 CE, the Netherlands
| | - J. C. de Jong
- Department of Viroscience, Erasmus Medical Center, Rotterdam 3015 CE, the Netherlands
| | - A. Palache
- Abbott Laboratories, Weesp 1380 DA, the Netherlands
| | - W. E. P. Beyer
- Department of Viroscience, Erasmus Medical Center, Rotterdam 3015 CE, the Netherlands
| | - Q. M. Le
- National Institute of Hygiene and Epidemiology, Hanoi, Vietnam
| | - T. H. Nguyen
- National Institute of Hygiene and Epidemiology, Hanoi, Vietnam
| | - H. F. L. Wertheim
- Oxford University Clinical Research Unit and Wellcome Trust Major Overseas Programme, Hanoi, Vietnam
- Nuffield Department of Clinical Medicine, Centre for Tropical Medicine, University of Oxford, Oxford OX3 7BN, UK
| | - A. C. Hurt
- WHO Collaborating Centre for Reference and Research on Influenza, VIDRL at the Peter Doherty Institute for Infection and Immunity, Melbourne VIC 3000, Australia
- Melbourne School of Population and Global Health, University of Melbourne, Parkville VIC 3010, Australia
| | - A. D. M. E. Osterhaus
- Department of Viroscience, Erasmus Medical Center, Rotterdam 3015 CE, the Netherlands
| | - I. G. Barr
- WHO Collaborating Centre for Reference and Research on Influenza, VIDRL at the Peter Doherty Institute for Infection and Immunity, Melbourne VIC 3000, Australia
| | - R. A. M. Fouchier
- Department of Viroscience, Erasmus Medical Center, Rotterdam 3015 CE, the Netherlands
| | - P. W. Horby
- Oxford University Clinical Research Unit and Wellcome Trust Major Overseas Programme, Hanoi, Vietnam
- Nuffield Department of Clinical Medicine, Centre for Tropical Medicine, University of Oxford, Oxford OX3 7BN, UK
| | - D. J. Smith
- Center for Pathogen Evolution, Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
- WHO Collaborating Center for Modeling, Evolution, and Control of Emerging Infectious Diseases, Cambridge CB2 3EJ, UK
- Department of Viroscience, Erasmus Medical Center, Rotterdam 3015 CE, the Netherlands
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Animal models for influenza viruses: implications for universal vaccine development. Pathogens 2014; 3:845-74. [PMID: 25436508 PMCID: PMC4282889 DOI: 10.3390/pathogens3040845] [Citation(s) in RCA: 78] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2014] [Revised: 10/10/2014] [Accepted: 10/10/2014] [Indexed: 01/22/2023] Open
Abstract
Influenza virus infections are a significant cause of morbidity and mortality in the human population. Depending on the virulence of the influenza virus strain, as well as the immunological status of the infected individual, the severity of the respiratory disease may range from sub-clinical or mild symptoms to severe pneumonia that can sometimes lead to death. Vaccines remain the primary public health measure in reducing the influenza burden. Though the first influenza vaccine preparation was licensed more than 60 years ago, current research efforts seek to develop novel vaccination strategies with improved immunogenicity, effectiveness, and breadth of protection. Animal models of influenza have been essential in facilitating studies aimed at understanding viral factors that affect pathogenesis and contribute to disease or transmission. Among others, mice, ferrets, pigs, and nonhuman primates have been used to study influenza virus infection in vivo, as well as to do pre-clinical testing of novel vaccine approaches. Here we discuss and compare the unique advantages and limitations of each model.
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