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Hodgson D, Sánchez-Ovando S, Carolan L, Liu Y, Hadiprodjo AJ, Fox A, Sullivan SG, Kucharski AJ. Quantifying the impact of pre-vaccination titre and vaccination history on influenza vaccine immunogenicity. Vaccine 2025; 44:126579. [PMID: 39638659 DOI: 10.1016/j.vaccine.2024.126579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 11/26/2024] [Accepted: 11/27/2024] [Indexed: 12/07/2024]
Abstract
Epidemiological studies suggest that heterogeneity in influenza vaccine antibody response can be associated with specific host factors, including pre-vaccination immune status, age, gender, and vaccination history. However, the pattern of reported associations varies between studies. To better understand the underlying influences on antibody responses, we combined host factors and vaccine-induced in-host antibody kinetics from a cohort study conducted across multiple seasons with a unified analysis framework. We developed a flexible individual-level Bayesian model to estimate associations and interactions between host factors, including pre-vaccine HAI titre, age, sex, vaccination history and study setting, and vaccine-induced HAI titre antibody boosting and waning. We applied the model to derive population-level and individual effects of post-vaccine antibody kinetics for A(H1N1) and A(H3N2) influenza subtypes. We found that post-vaccine HAI titre dynamics were significantly influenced by pre-vaccination HAI titre and vaccination history and that lower pre-vaccination HAI titre results in longer durations of seroprotection (HAI titre equal to 1:40 or higher). We also observed that the effect of vaccination history on antibody boosting was stronger for egg-grown A(H1N1) vaccinating strains in individuals with higher pre-vaccination HAI titres, whereas this effect diminished for egg-grown A(H3N2) vaccinating strains. Consequently, for cell-grown A(H1N1), our inference finds that the expected duration of seroprotection post-vaccination was 171 (95 % Posterior Predictive Interval[PPI] 128-220) and 159 (95 % PPI 120-200) days longer for those who are infrequently vaccinated (<2 vaccines in last five years) compared to those who are frequently vaccinated (2 or more vaccines in the last five years) at pre-vaccination HAI titre values of 1:10 and 1:20 respectively. In addition, we found significant differences in the empirical distributions that describe the individual-level duration of seroprotection for A(H1N1) cell-grown strains. In future, studies that rely on serological endpoints should include the impact of pre-vaccine HAI titre and prior vaccination status on seropositivity and seroconversion estimates, as these can significantly influence an individual's post-vaccination antibody kinetics.
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Affiliation(s)
- David Hodgson
- Center of Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
| | - Stephany Sánchez-Ovando
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, At The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Louise Carolan
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, At The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Yi Liu
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, At The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - A Jessica Hadiprodjo
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, At The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Annette Fox
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, At The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Sheena G Sullivan
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, At The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Adam J Kucharski
- Center of Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
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2
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Jacobs B, Leroux-Roels I, Bruhwyler J, Groth N, Waerlop G, Janssens Y, Tourneur J, De Boever F, Alhatemi A, Moris P, Le Vert A, Leroux-Roels G, Nicolas F. Evaluation of Safety, Immunogenicity and Cross-Reactive Immunity of OVX836, a Nucleoprotein-Based Universal Influenza Vaccine, in Older Adults. Vaccines (Basel) 2024; 12:1391. [PMID: 39772052 PMCID: PMC11728545 DOI: 10.3390/vaccines12121391] [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: 11/20/2024] [Revised: 12/06/2024] [Accepted: 12/09/2024] [Indexed: 01/16/2025] Open
Abstract
Background/Objectives: In a Phase 2a, double-blind, placebo-controlled study including healthy participants aged 18-55 years, OVX836, a nucleoprotein (NP)-based candidate vaccine, previously showed a good safety profile, a robust immune response (both humoral and cellular) and a preliminary signal of protection (VE = 84%) against PCR-confirmed symptomatic influenza after a single intramuscular dose of 180 µg, 300 µg or 480 µg. Methods: Using the same methodology, we confirmed the good safety and strong immunogenicity of OVX836 at the same doses in older adults (≥65 years), a key target population for influenza vaccination. Results: Significant humoral (anti-NP IgG) and cellular (interferon gamma (IFNγ) spot-forming cells per million peripheral blood mononuclear cells and specific CD4+ IFNγ+ T-cells) immune responses were observed at the three dose levels, without clear dose-response relationship. T-cell responses were shown to be highly cross-reactive against various influenza A strains, both seasonal and highly pathogenic avian strains. We also evaluated the effect of sex (stronger immune response in females) and age (stronger immune response in young adults) on the immune response to OVX836 after adjustment based on the pre-vaccination immune status. Conclusions: The results obtained with OVX836 lay the groundwork for a future placebo-controlled, field proof of concept efficacy Phase 2b trial.
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Affiliation(s)
- Bart Jacobs
- Center for Vaccinology (CEVAC), 10 Corneel Heymanslaan, 9000 Ghent, Belgium; (B.J.); (I.L.-R.); (G.W.); (Y.J.); (F.D.B.); (A.A.); (G.L.-R.)
| | - Isabel Leroux-Roels
- Center for Vaccinology (CEVAC), 10 Corneel Heymanslaan, 9000 Ghent, Belgium; (B.J.); (I.L.-R.); (G.W.); (Y.J.); (F.D.B.); (A.A.); (G.L.-R.)
| | - Jacques Bruhwyler
- Osivax, 70 Rue Saint-Jean-de-Dieu, 69007 Lyon, France; (N.G.); (J.T.); (P.M.); (A.L.V.); (F.N.)
| | - Nicola Groth
- Osivax, 70 Rue Saint-Jean-de-Dieu, 69007 Lyon, France; (N.G.); (J.T.); (P.M.); (A.L.V.); (F.N.)
| | - Gwenn Waerlop
- Center for Vaccinology (CEVAC), 10 Corneel Heymanslaan, 9000 Ghent, Belgium; (B.J.); (I.L.-R.); (G.W.); (Y.J.); (F.D.B.); (A.A.); (G.L.-R.)
| | - Yorick Janssens
- Center for Vaccinology (CEVAC), 10 Corneel Heymanslaan, 9000 Ghent, Belgium; (B.J.); (I.L.-R.); (G.W.); (Y.J.); (F.D.B.); (A.A.); (G.L.-R.)
| | - Jessika Tourneur
- Osivax, 70 Rue Saint-Jean-de-Dieu, 69007 Lyon, France; (N.G.); (J.T.); (P.M.); (A.L.V.); (F.N.)
| | - Fien De Boever
- Center for Vaccinology (CEVAC), 10 Corneel Heymanslaan, 9000 Ghent, Belgium; (B.J.); (I.L.-R.); (G.W.); (Y.J.); (F.D.B.); (A.A.); (G.L.-R.)
| | - Azhar Alhatemi
- Center for Vaccinology (CEVAC), 10 Corneel Heymanslaan, 9000 Ghent, Belgium; (B.J.); (I.L.-R.); (G.W.); (Y.J.); (F.D.B.); (A.A.); (G.L.-R.)
| | - Philippe Moris
- Osivax, 70 Rue Saint-Jean-de-Dieu, 69007 Lyon, France; (N.G.); (J.T.); (P.M.); (A.L.V.); (F.N.)
| | - Alexandre Le Vert
- Osivax, 70 Rue Saint-Jean-de-Dieu, 69007 Lyon, France; (N.G.); (J.T.); (P.M.); (A.L.V.); (F.N.)
| | - Geert Leroux-Roels
- Center for Vaccinology (CEVAC), 10 Corneel Heymanslaan, 9000 Ghent, Belgium; (B.J.); (I.L.-R.); (G.W.); (Y.J.); (F.D.B.); (A.A.); (G.L.-R.)
| | - Florence Nicolas
- Osivax, 70 Rue Saint-Jean-de-Dieu, 69007 Lyon, France; (N.G.); (J.T.); (P.M.); (A.L.V.); (F.N.)
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3
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Zhong S, Ng TWY, Skowronski DM, Iuliano AD, Leung NHL, Perera RAPM, Ho F, Fang VJ, Tam YH, Ip DKM, Havers FG, Fry AM, Aziz-Baumgartner E, Barr IG, Peiris M, Thompson MG, Cowling BJ. Influenza A(H3N2) Antibody Responses to Standard-Dose Versus Enhanced Influenza Vaccine Immunogenicity in Older Adults and Prior Season's Vaccine Status. J Infect Dis 2024; 229:1451-1459. [PMID: 37950884 PMCID: PMC11095559 DOI: 10.1093/infdis/jiad497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 10/19/2023] [Accepted: 11/09/2023] [Indexed: 11/13/2023] Open
Abstract
BACKGROUND Annual influenza vaccination is recommended for older adults but repeated vaccination with standard-dose influenza vaccine has been linked to reduced immunogenicity and effectiveness, especially against A(H3N2) viruses. METHODS Community-dwelling Hong Kong adults aged 65-82 years were randomly allocated to receive 2017-2018 standard-dose quadrivalent, MF59-adjuvanted trivalent, high-dose trivalent, and recombinant-HA quadrivalent vaccination. Antibody response to unchanged A(H3N2) vaccine antigen was compared among participants with and without self-reported prior year (2016-2017) standard-dose vaccination. RESULTS Mean fold rise (MFR) in antibody titers from day 0 to day 30 by hemagglutination inhibition and virus microneutralization assays were lower among 2017-2018 standard-dose and enhanced vaccine recipients with (range, 1.7-3.0) versus without (range, 4.3-14.3) prior 2016-2017 vaccination. MFR was significantly reduced by about one-half to four-fifths for previously vaccinated recipients of standard-dose and all 3 enhanced vaccines (β range, .21-.48). Among prior-year vaccinated older adults, enhanced vaccines induced higher 1.43 to 2.39-fold geometric mean titers and 1.28 to 1.74-fold MFR versus standard-dose vaccine by microneutralization assay. CONCLUSIONS In the context of unchanged A(H3N2) vaccine strain, prior-year vaccination was associated with reduced antibody response among both standard-dose and enhanced influenza vaccine recipients. Enhanced vaccines improved antibody response among older adults with prior-year standard-dose vaccination.
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Affiliation(s)
- Shuyi Zhong
- 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
| | - Tiffany W Y Ng
- 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
| | - Danuta M Skowronski
- Epidemiology Services, British Columbia Centre for Disease Control, Vancouver, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, Canada
| | - A Danielle Iuliano
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Nancy H L Leung
- 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
- Laboratory of Data Discovery for Health Limited, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Ranawaka A P M Perera
- 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
| | - Faith Ho
- 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
| | - Vicky J Fang
- 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
| | - Yat Hung Tam
- 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
| | - Dennis K M Ip
- 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
| | - Fiona G Havers
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Alicia M Fry
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | - Ian G Barr
- World Health Organization Collaborating Centre for Reference and Research on Influenza, Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- Department of Microbiology and Immunology, University of Melbourne, Melbourne, Victoria, Australia
| | - Malik Peiris
- 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
- Centre of Immunology and Infection, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Mark G Thompson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - 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
- Laboratory of Data Discovery for Health Limited, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
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Hodgson D, Sánchez-Ovando S, Carolan L, Liu Y, Hadiprodjo AJ, Fox A, Sullivan SG, Kucharski AJ. Quantifying the impact of pre-vaccination titre and vaccination history on influenza vaccine immunogenicity. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.24.24301614. [PMID: 38343865 PMCID: PMC10854332 DOI: 10.1101/2024.01.24.24301614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/18/2024]
Abstract
Epidemiological studies suggest that heterogeneity in influenza vaccine antibody response is associated with host factors, including pre-vaccination immune status, age, gender, and vaccination history. However, the pattern of reported associations varies between studies. To better understand the underlying influences on antibody responses, we combined host factors and vaccine-induced in-host antibody kinetics from a cohort study conducted across multiple seasons with a unified analysis framework. We developed a flexible individual-level Bayesian model to estimate associations and interactions between host factors, including pre-vaccine HAI titre, age, sex, vaccination history and study setting, and vaccine-induced HAI titre antibody boosting and waning. We applied the model to derive population-level and individual effects of post-vaccine antibody kinetics for vaccinating and circulating strains for A(H1N1) and A(H3N2) influenza subtypes. We found that post-vaccine HAI titre dynamics were significantly influenced by pre-vaccination HAI titre and vaccination history and that lower pre-vaccination HAI titre results in longer durations of seroprotection (HAI titre equal to 1:40 or higher). Consequently, for A(H1N1), our inference finds that the expected duration of seroprotection post-vaccination was 171 (95% Posterior Predictive Interval[PPI] 128-220) and 159 (95% PPI 120-200) days longer for those who are infrequently vaccinated (<2 vaccines in last five years) compared to those who are frequently vaccinated (2 or more vaccines in the last five years) at pre-vaccination HAI titre values of 1:10 and 1:20 respectively. In addition, we found significant differences in the empirical distributions that describe the individual-level duration of seroprotection for A(H1N1) circulating strains. In future, studies that rely on serological endpoints should include the impact of pre-vaccine HAI titre and prior vaccination status on seropositivity and seroconversion estimates, as these significantly influence an individual's post-vaccination antibody kinetics.
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Affiliation(s)
- David Hodgson
- Center of Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Stephany Sánchez-Ovando
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Louise Carolan
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Yi Liu
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - A. Jessica Hadiprodjo
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Annette Fox
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Sheena G. Sullivan
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Adam J. Kucharski
- Center of Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
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5
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Lin PH, Hsiao PJ, Pan CF, Liu MT, Wang JT, Ching C, Wu FY, Lin YH, Yang YC, Hsu LY, Yang HC, Wu UI. Association of vaccine-specific regulatory T cells with reduced antibody response to repeated influenza vaccination. Eur J Immunol 2023; 53:e2350525. [PMID: 37713727 DOI: 10.1002/eji.202350525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 08/04/2023] [Accepted: 09/14/2023] [Indexed: 09/17/2023]
Abstract
Repeated annual influenza vaccinations have been associated with reduced vaccine-induced antibody responses. This prospective study aimed to explore the role of vaccine antigen-specific regulatory T (Treg) cells in antibody response to repeated annual influenza vaccination. We analyzed pre- and postvaccination hemagglutination inhibition (HI) titers, seroconversion rates, seroprotection rates, vaccine antigen hemagglutinin (HA)-specific Treg cells, and conventional T (Tconv) cells. We compared these parameters between vaccinees with or without vaccine-induced seroconversion. Our multivariate logistic regression revealed that prior vaccination was significantly associated with a decreased likelihood of achieving seroconversion for both H1N1(adjusted OR, 0.03; 95% CI, 0.01-0.13) and H3N2 (adjusted OR, 0.09; 95% CI, 0.03-0.30). Furthermore, individuals who received repeated vaccinations had significantly higher levels of pre-existing HA-specific Treg cells than those who did not. We also found that vaccine-induced fold-increases in HI titers and seroconversion were negatively correlated with pre-existing HA-specific Treg cells and positively correlated with the ratio of Tconv to Treg cells. Overall, our findings suggest that repeated annual influenza vaccination is associated with a lower vaccine-induced antibody response and a higher frequency of vaccine-specific Treg cells. However, a lower frequency of pre-existing Treg cells correlates with a higher postvaccination antibody response.
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Affiliation(s)
- Pin-Hung Lin
- Graduate Institute of Microbiology, College of Medicine, National Taiwan University, Taipei, Taiwan
- Department of Medical Research, National Taiwan University Hospital, Taipei, Taiwan
| | - Po-Ju Hsiao
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ching-Fu Pan
- Graduate Institute of Microbiology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ming-Tsan Liu
- Center for Diagnostics and Vaccine Development, Centers for Disease Control, Taipei, Taiwan
| | - Jann-Tay Wang
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chi Ching
- Graduate Institute of Microbiology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Fang-Yi Wu
- Graduate Institute of Microbiology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Yi-Hsuan Lin
- Graduate Institute of Microbiology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Yu-Chan Yang
- Graduate Institute of Microbiology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Le-Yin Hsu
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
- Graduate Program of Data Science, National Taiwan University and Academia Sinica, Taipei, Taiwan
| | - Hung-Chih Yang
- Graduate Institute of Microbiology, College of Medicine, National Taiwan University, Taipei, Taiwan
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Un-In Wu
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
- Department of Medicine, National Taiwan University Cancer Center, Taipei, Taiwan
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6
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Kang M, Lin F, Jiang Z, Tan X, Lin X, Liang Z, Xiao C, Xia Y, Guan W, Yang Z, Yu G, Zanin M, Tang S, Wong S. The impact of pre-existing influenza antibodies and inflammatory status on the influenza vaccine responses in older adults. Influenza Other Respir Viruses 2023; 17:e13172. [PMID: 37457646 PMCID: PMC10339007 DOI: 10.1111/irv.13172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 06/06/2023] [Accepted: 06/10/2023] [Indexed: 07/18/2023] Open
Abstract
Age-associated immune changes and pre-existing influenza immunity are hypothesized to reduce influenza vaccine effectiveness in older adults, although the contribution of each factor is unknown. Here, we constructed influenza-specific IgG landscapes and determined baseline concentrations of cytokines typically associated with chronic inflammation in older adults (TNF-α, IL-10, IL-6, and IFN-γ) in 30 high and 29 low influenza vaccine responders (HR and LR, respectively). In a background of high H3 antibody titers, vaccine-specific H3, but not H1, antibody titers were boosted in LRs to titers comparable to HRs. Pre-vaccination concentrations of IL-10 were higher in LRs compared with HRs and inversely correlated with titers of pre-existing influenza antibodies. Baseline TNF-α concentrations were positively correlated with fold-increases in antibody titers in HRs. Our findings indicate that baseline inflammatory status is an important determinant for generating post-vaccination hemagglutinin-inhibition antibodies in older adults, and IgG responses can be boosted in the context of high pre-existing immunity.
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Affiliation(s)
- Min Kang
- School of Public HealthSouthern Medical UniversityGuangzhouP. R. China
- Guangdong Center for Disease Control and PreventionGuangzhouP. R. China
| | - Fangmei Lin
- Guangzhou Medical University, XinzaoGuangzhouP. R. China
- State Key Laboratory for Respiratory Diseases and National Clinical Research Centre for Respiratory DiseaseGuangzhouP.R. China
| | - Zhanpeng Jiang
- Guangzhou Medical University, XinzaoGuangzhouP. R. China
- State Key Laboratory for Respiratory Diseases and National Clinical Research Centre for Respiratory DiseaseGuangzhouP.R. China
| | - Xiaohua Tan
- Guangdong Center for Disease Control and PreventionGuangzhouP. R. China
| | - Xia Lin
- Guangzhou Medical University, XinzaoGuangzhouP. R. China
- State Key Laboratory for Respiratory Diseases and National Clinical Research Centre for Respiratory DiseaseGuangzhouP.R. China
| | - Zaolan Liang
- Guangzhou Medical University, XinzaoGuangzhouP. R. China
- State Key Laboratory for Respiratory Diseases and National Clinical Research Centre for Respiratory DiseaseGuangzhouP.R. China
- HKU‐Pasteur Research Pole, School of Public Health, LKS Faculty of MedicineThe University of Hong KongHong KongChina
| | - Cheng Xiao
- Guangzhou Medical University, XinzaoGuangzhouP. R. China
- State Key Laboratory for Respiratory Diseases and National Clinical Research Centre for Respiratory DiseaseGuangzhouP.R. China
- HKU‐Pasteur Research Pole, School of Public Health, LKS Faculty of MedicineThe University of Hong KongHong KongChina
| | - Yonghe Xia
- Zhongshan Yiyan Bio‐Pharmaceutical Co., LtdZhongshanP. R. China
| | - Wenda Guan
- State Key Laboratory for Respiratory Diseases and National Clinical Research Centre for Respiratory DiseaseGuangzhouP.R. China
- Guangzhou Institute of Respiratory HealthFirst Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory MedicineGuangzhouP.R. China
| | - Zifeng Yang
- State Key Laboratory for Respiratory Diseases and National Clinical Research Centre for Respiratory DiseaseGuangzhouP.R. China
- Guangzhou Institute of Respiratory HealthFirst Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory MedicineGuangzhouP.R. China
| | - Guangchuang Yu
- Department of Bioinformatics, School of Basic Medical SciencesSouthern Medical UniversityGuangzhouP. R. China
| | - Mark Zanin
- School of Public Health, LKS Faculty of MedicineThe University of Hong KongHong KongChina
- Centre for Immunology & InfectionShatinHong Kong
| | - Shixing Tang
- School of Public HealthSouthern Medical UniversityGuangzhouP. R. China
| | - Sook‐San Wong
- HKU‐Pasteur Research Pole, School of Public Health, LKS Faculty of MedicineThe University of Hong KongHong KongChina
- School of Public Health, LKS Faculty of MedicineThe University of Hong KongHong KongChina
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7
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DYNAMIC cohort study evaluating metabolic predictors of influenza vaccine immune response in older adults. NPJ Vaccines 2022; 7:135. [PMID: 36319665 PMCID: PMC9626497 DOI: 10.1038/s41541-022-00548-z] [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: 01/15/2022] [Accepted: 10/10/2022] [Indexed: 01/24/2023] Open
Abstract
Immunosenescence (age-related immune dysfunction) and inflamm-aging contribute to suboptimal immune responses in older adults to standard-dose influenza vaccines, which may be exacerbated in those with metabolic co-morbidities. We sought to investigate metabolic factors/predictors of influenza vaccine immune response in an older adult (age ≥65 years) cohort in Singapore, where influenza typically circulates year-round. The primary outcome for the DYNAMIC prospective cohort study was haemagglutination-inhibition titer (HAI) response to each of the trivalent inactivated influenza vaccine strains at day 28 (D28) compared to baseline (D0), as assessed by seroconversion and D28/D0 log2 HAI fold rise. Baseline blood samples were tested for total Vitamin D (25-(OH) D) levels. We enrolled 234 participants in June-Dec 2017. Two hundred twenty completed all study visits. The median age was 71 [IQR 68-75] years, 67 (30.5%) had diabetes mellitus (DM), and the median BMI was 24.9 [IQR 22.2-27.8] kg/m2. Median baseline totals 25-(OH) D was 29 [IQR: 21-29] ng/ml. Age, DM, obesity, and baseline 25-(OH) D were not associated with HAI fold rise in multivariable analysis. More recent prior influenza vaccination and higher baseline HAI titers were associated with lower HAI fold rise for influenza A/HK/H3N2. Physical activity was associated with a higher HAI fold rise for influenza A/HK/H3N2 in a dose-response relationship (p-test for trend = 0.015). Older adults with well-controlled metabolic co-morbidities retain HAI response to the influenza vaccine, and physical activity had a beneficial effect on immune response, particularly for influenza A/HK/H3N2.
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Milanovic MS, Kadijevich DM, Stojanovich L, Milovanovic B, Djokovic A. A Lower Level of Post-Vaccinal Antibody Titer against Influenza Virus A H1N1 May Protect Patients with Autoimmune Rheumatic Diseases from Respiratory Viral Infections. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:medicina58010076. [PMID: 35056384 PMCID: PMC8780273 DOI: 10.3390/medicina58010076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 12/23/2021] [Accepted: 12/29/2021] [Indexed: 11/16/2022]
Abstract
Background and Objectives: The concentration of antibodies against virus influenza A H1N1 in the titer (≥1:32) positively correlates with resistance to flu in healthy persons. In elderly and immune-compromised patients, an influenza vaccine may be less immunogenic. Hypothesis: A lower post-vaccinal antibody titer (≥1:16) may be sero-protective against respiratory viral infections in patients with autoimmune rheumatic diseases. Materials and Methods: Fifty patients with autoimmune rheumatic diseases (Systemic Lupus Erythematosus—24; Rheumatoid Arthritis—15; and Sjögren’s Syndrome—11), who were at least 65 years old or whose relative disease duration (disease duration/age) was greater than 1/8, were examined. Thirty-four of them were vaccinated with a trivalent inactivated non-adjuvant influenza vaccine. The antibody concentration against influenza virus A H1N1 was measured using the standardized hemagglutination inhibition test and patients who got any respiratory viral infection were registered. To test the hypothesis, a correlative analysis was applied, followed by a binary logistic regression that included potential confounding variables, such as age, disease duration and therapy (personal/health-related conditions). Results: Vaccinated patients were significantly less affected by respiratory viral infections (21% vs. 75%). The lower titer considered (≥1:16) was significantly present more often among vaccinated patients (68% vs. 6%). The correlation between its presence/absence and that of respiratory viral infections was –0.34 (p < 0.05). The binary logistic regression evidenced the relevance of this correlation, confirming the hypothesis. Vaccination was associated with the 87.3% reduction in the likelihood of getting respiratory viral infections, whereas the lower antibody titer (≥1:16) was associated with the 77.6% reduction in the likelihood of getting respiratory viral infections. The vaccine was well tolerated by all patients and after vaccination no exacerbation of the underlying disease was observed. Conclusions: A lower antibody titer (≥1:16) against influenza virus A H1N1 could be protective against respiratory viral infections for certain autoimmune rheumatic diseases patients, which confirms the clinical effectiveness of influenza vaccination.
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Affiliation(s)
- Milomir S. Milanovic
- Clinic for Infectious and Tropical Diseases, Military Medical Academy, Crnotravska 17, 11040 Belgrade, Serbia
- Correspondence: ; Tel.: +381-11-3609-226
| | | | - Ljudmila Stojanovich
- Department of Internal Medicine, University Medical Centre “Bezanijska Kosa”, Dr Žorža Matea bb, 11080 Belgrade, Serbia; (L.S.); (B.M.); (A.D.)
| | - Branislav Milovanovic
- Department of Internal Medicine, University Medical Centre “Bezanijska Kosa”, Dr Žorža Matea bb, 11080 Belgrade, Serbia; (L.S.); (B.M.); (A.D.)
| | - Aleksandra Djokovic
- Department of Internal Medicine, University Medical Centre “Bezanijska Kosa”, Dr Žorža Matea bb, 11080 Belgrade, Serbia; (L.S.); (B.M.); (A.D.)
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9
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Quan C, Zhang Z, Ding G, Sun F, Zhao H, Liu Q, Ma C, Wang J, Wang L, Zhao W, He J, Wang Y, He Q, Carr MJ, Wang D, Xiao Q, Shi W. Seroprevalence of influenza viruses in Shandong, Northern China during the COVID-19 pandemic. Front Med 2022; 16:984-990. [PMID: 36152125 PMCID: PMC9510416 DOI: 10.1007/s11684-022-0930-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 04/21/2022] [Indexed: 01/19/2023]
Abstract
Nonpharmaceutical interventions (NPIs) have been commonly deployed to prevent and control the spread of the coronavirus disease 2019 (COVID-19), resulting in a worldwide decline in influenza prevalence. However, the influenza risk in China warrants cautious assessment. We conducted a cross-sectional, seroepidemiological study in Shandong Province, Northern China in mid-2021. Hemagglutination inhibition was performed to test antibodies against four influenza vaccine strains. A combination of descriptive and meta-analyses was adopted to compare the seroprevalence of influenza antibodies before and during the COVID-19 pandemic. The overall seroprevalence values against A/H1N1pdm09, A/H3N2, B/Victoria, and B/Yamagata were 17.8% (95% CI 16.2%-19.5%), 23.5% (95% CI 21.7%-25.4%), 7.6% (95% CI 6.6%-8.7%), and 15.0 (95% CI 13.5%-16.5%), respectively, in the study period. The overall vaccination rate was extremely low (2.6%). Our results revealed that antibody titers in vaccinated participants were significantly higher than those in unvaccinated individuals (P < 0.001). Notably, the meta-analysis showed that antibodies against A/H1N1pdm09 and A/H3N2 were significantly low in adults after the COVID-19 pandemic (P < 0.01). Increasing vaccination rates and maintaining NPIs are recommended to prevent an elevated influenza risk in China.
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Affiliation(s)
- Chuansong Quan
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000 China
| | - Zhenjie Zhang
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000 China
| | - Guoyong Ding
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117 China
| | - Fengwei Sun
- The Department of Infectious Disease, The Second Affiliated Hospital of Shandong First Medical University, Taian, 271000 China
| | - Hengxia Zhao
- Clinical Laboratory, The Department of Clinical Laboratory, Boshan District Hospital, Zibo, 255200 China
| | - Qinghua Liu
- Clinical Laboratory, The Department of Clinical Laboratory, The Second Affiliated Hospital of Shandong First Medical University, Taian, 271000 China
| | - Chuanmin Ma
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000 China
| | - Jing Wang
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000 China
| | - Liang Wang
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000 China
| | - Wenbo Zhao
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000 China
| | - Jinjie He
- Clinical Laboratory, The Department of Clinical Laboratory, Boshan District Hospital, Zibo, 255200 China
| | - Yu Wang
- The Department of Cancer Center, Taian Tumor Prevention and Treatment Hospital, Taian, 271000 China
| | - Qian He
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117 China
| | - Michael J. Carr
- National Virus Reference Laboratory, School of Medicine, University College Dublin, Dublin 4, Ireland ,International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Hokkaido, 0010020 Japan
| | - Dayan Wang
- Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Collaboration Innovation Center for Diagnosis and Treatment of Infectious Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, 102206 China
| | - Qiang Xiao
- Clinical Laboratory, The Department of Clinical Laboratory, The Second Affiliated Hospital of Shandong First Medical University, Taian, 271000 China
| | - Weifeng Shi
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271000 China ,School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117 China
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10
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McLean HQ, Levine MZ, King JP, Flannery B, Belongia EA. Serologic response to sequential vaccination with enhanced influenza vaccines: Open label randomized trial among adults aged 65-74 years. Vaccine 2021; 39:7146-7152. [PMID: 34774360 DOI: 10.1016/j.vaccine.2021.10.072] [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: 04/13/2021] [Revised: 10/15/2021] [Accepted: 10/27/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND The effects of sequential vaccination with enhanced influenza vaccines are poorly understood. We conducted an exploratory open-label study to assess serologic response to sequential vaccination in older adults. METHODS 160 adults aged 65 through 74 years were randomized (1:1:1) to receive trivalent inactivated standard dose (SD), high-dose (HD), or MF59-adjuvanted (AD) vaccine in 2016/17. In 2017/18, HD and AD recipients received the same vaccine; SD recipients were re-randomized to HD or AD. Hemagglutination inhibition assays were performed using turkey erythrocytes against A/California/7/2009(H1N1)-like and B/Brisbane/60/2008(B/Victoria)-like in both seasons, and A/Michigan/45/2015(H1N1)-like in season 2. Microneutralization assays were performed against cell-propagated A/Hong Kong/4801/2014(H3N2)-like using MDCK-SIAT1 cells. Postvaccination geometric mean titer (GMT), percent with titer ≥ 40, and mean fold rise (MFR, ratio of postvaccination versus prevaccination titer) in season 2 were compared across groups, and ratio of MFR in season 2 versus season 1 was assessed for each strain. RESULTS Analysis included 152 participants (55 HD → HD, 58 AD → AD, 19 SD → HD, and 20 SD → AD). Season 2 postvaccination GMTs and percent with titer ≥ 40 did not differ between HD → HD and AD → AD recipients for vaccine strains examined. However, a higher percent of HD → HD and AD → AD recipients had postvaccination titer ≥ 40 than SD → AD recipients for A/H1N1 (86%-89% versus 60%) and SD → AD and SD → HD recipients for A/H3N2 (83%-87% versus 40%-53%). GMTs were higher in AD → AD versus SD → AD recipients for A/H1N1 (p = .01) and A/H3N2 (p = .002). MFRs in season 2 were low in all groups for A/H3N2 (1.5-2.2) and B/Victoria (1.7-2.3). MFR was lower in season 2 versus 1 for HD → HD and AD → AD recipients for all vaccine strains (1.6-3.7 versus 2.6-6.2). CONCLUSIONS Sequential vaccination with enhanced vaccines did not reduce immunogenicity in adults aged 65 through 74 years. Serologic response to cell-propagated A/H3N2 was suboptimal for all vaccines. ClinicalTrials.gov identifier. NCT02872311.
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Affiliation(s)
- Huong Q McLean
- Center for Clinical Epidemiology & Population Health, Marshfield Clinic Research Institute, 1000 N Oak Ave (ML2), Marshfield, WI 54449, United States.
| | - Min Z Levine
- Influenza Division, Centers for Disease Control and Prevention, 1600 Clifton Rd, Atlanta, GA 30329, United States.
| | - Jennifer P King
- Center for Clinical Epidemiology & Population Health, Marshfield Clinic Research Institute, 1000 N Oak Ave (ML2), Marshfield, WI 54449, United States.
| | - Brendan Flannery
- Influenza Division, Centers for Disease Control and Prevention, 1600 Clifton Rd, Atlanta, GA 30329, United States.
| | - Edward A Belongia
- Center for Clinical Epidemiology & Population Health, Marshfield Clinic Research Institute, 1000 N Oak Ave (ML2), Marshfield, WI 54449, United States.
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11
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Wild K, Smits M, Killmer S, Strohmeier S, Neumann-Haefelin C, Bengsch B, Krammer F, Schwemmle M, Hofmann M, Thimme R, Zoldan K, Boettler T. Pre-existing immunity and vaccine history determine hemagglutinin-specific CD4 T cell and IgG response following seasonal influenza vaccination. Nat Commun 2021; 12:6720. [PMID: 34795301 PMCID: PMC8602312 DOI: 10.1038/s41467-021-27064-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Accepted: 11/02/2021] [Indexed: 11/09/2022] Open
Abstract
Effectiveness of seasonal influenza vaccination varies between individuals and might be affected by vaccination history among other factors. Here we show, by monitoring frequencies of CD4 T cells specific to the conserved hemagglutinin epitope HA118-132 and titres of IgG against the corresponding recombinant hemagglutinin protein, that antigen-specific CD4 T cell and antibody responses are closely linked to pre-existing immunity and vaccine history. Upon immunization, a strong early reaction is observed in all vaccine naïve participants and also in vaccine experienced individuals who have not received the respective seasonal vaccine in the previous year. This response is characterized by HA118-132 specific CD4 T cells with a follicular helper T cell phenotype and by ascending titers of hemagglutinin-specific antibodies from baseline to day 28 following vaccination. This trend was observed in only a proportion of those participants who received the seasonal vaccine the year preceding the study. Regardless of history, levels of pre-existing antibodies and CD127 expression on CD4 T cells at baseline were the strongest predictors of robust early response. Thus, both pre-existing immunity and vaccine history contribute to the response to seasonal influenza vaccines.
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Affiliation(s)
- Katharina Wild
- Department of Medicine II, Medical Center - University of Freiburg, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Faculty of Pharmacy, University of Freiburg, Freiburg, Germany
| | - Maike Smits
- Department of Medicine II, Medical Center - University of Freiburg, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Faculty of Biology, University of Freiburg, Freiburg, Germany
| | - Saskia Killmer
- Department of Medicine II, Medical Center - University of Freiburg, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Shirin Strohmeier
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Christoph Neumann-Haefelin
- Department of Medicine II, Medical Center - University of Freiburg, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Bertram Bengsch
- Department of Medicine II, Medical Center - University of Freiburg, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Freiburg, Germany
| | - Florian Krammer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Martin Schwemmle
- Institute of Virology, Freiburg University Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Maike Hofmann
- Department of Medicine II, Medical Center - University of Freiburg, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Robert Thimme
- Department of Medicine II, Medical Center - University of Freiburg, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Katharina Zoldan
- Department of Medicine II, Medical Center - University of Freiburg, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Tobias Boettler
- Department of Medicine II, Medical Center - University of Freiburg, Freiburg, Germany.
- Faculty of Medicine, University of Freiburg, Freiburg, Germany.
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12
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Lin X, Lin F, Liang T, Ducatez MF, Zanin M, Wong SS. Antibody Responsiveness to Influenza: What Drives It? Viruses 2021; 13:v13071400. [PMID: 34372607 PMCID: PMC8310379 DOI: 10.3390/v13071400] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 07/02/2021] [Accepted: 07/03/2021] [Indexed: 02/06/2023] Open
Abstract
The induction of a specific antibody response has long been accepted as a serological hallmark of recent infection or antigen exposure. Much of our understanding of the influenza antibody response has been derived from studying antibodies that target the hemagglutinin (HA) protein. However, growing evidence points to limitations associated with this approach. In this review, we aim to highlight the issue of antibody non-responsiveness after influenza virus infection and vaccination. We will then provide an overview of the major factors known to influence antibody responsiveness to influenza after infection and vaccination. We discuss the biological factors such as age, sex, influence of prior immunity, genetics, and some chronic infections that may affect the induction of influenza antibody responses. We also discuss the technical factors, such as assay choices, strain variations, and viral properties that may influence the sensitivity of the assays used to measure influenza antibodies. Understanding these factors will hopefully provide a more comprehensive picture of what influenza immunogenicity and protection means, which will be important in our effort to improve influenza vaccines.
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Affiliation(s)
- Xia Lin
- State Key Laboratory of Respiratory Diseases, Guangzhou Medical University, 195 Dongfengxi Rd, Guangzhou 510182, China; (X.L.); (F.L.); (T.L.); (M.Z.)
| | - Fangmei Lin
- State Key Laboratory of Respiratory Diseases, Guangzhou Medical University, 195 Dongfengxi Rd, Guangzhou 510182, China; (X.L.); (F.L.); (T.L.); (M.Z.)
| | - Tingting Liang
- State Key Laboratory of Respiratory Diseases, Guangzhou Medical University, 195 Dongfengxi Rd, Guangzhou 510182, China; (X.L.); (F.L.); (T.L.); (M.Z.)
| | | | - Mark Zanin
- State Key Laboratory of Respiratory Diseases, Guangzhou Medical University, 195 Dongfengxi Rd, Guangzhou 510182, China; (X.L.); (F.L.); (T.L.); (M.Z.)
- School of Public Health, The University of Hong Kong, Hong Kong, China
| | - Sook-San Wong
- State Key Laboratory of Respiratory Diseases, Guangzhou Medical University, 195 Dongfengxi Rd, Guangzhou 510182, China; (X.L.); (F.L.); (T.L.); (M.Z.)
- School of Public Health, The University of Hong Kong, Hong Kong, China
- Correspondence: ; Tel.: +86-178-2584-6078
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13
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Kostoff RN, Kanduc D, Porter AL, Shoenfeld Y, Calina D, Briggs MB, Spandidos DA, Tsatsakis A. Vaccine- and natural infection-induced mechanisms that could modulate vaccine safety. Toxicol Rep 2020; 7:1448-1458. [PMID: 33110761 PMCID: PMC7581376 DOI: 10.1016/j.toxrep.2020.10.016] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 10/17/2020] [Indexed: 12/20/2022] Open
Abstract
A degraded/dysfunctional immune system appears to be the main determinant of serious/fatal reaction to viral infection (for COVID-19, SARS, and influenza alike). There are four major approaches being employed or considered presently to augment or strengthen the immune system, in order to reduce adverse effects of viral exposure. The three approaches that are focused mainly on augmenting the immune system are based on the concept that pandemics/outbreaks can be controlled/prevented while maintaining the immune-degrading lifestyles followed by much of the global population. The fourth approach is based on identifying and introducing measures aimed at strengthening the immune system intrinsically in order to minimize future pandemics/outbreaks. Specifically, the four measures are: 1) restricting exposure to virus; 2) providing reactive/tactical treatments to reduce viral load; 3) developing vaccines to prevent, or at least attenuate, the infection; 4) strengthening the immune system intrinsically, by a) identifying those factors that contribute to degrading the immune system, then eliminating/reducing them as comprehensively, thoroughly, and rapidly as possible, and b) replacing the eliminated factors with immune-strengthening factors. This paper focuses on vaccine safety. A future COVID-19 vaccine appears to be the treatment of choice at the national/international level. Vaccine development has been accelerated to achieve this goal in the relatively near-term, and questions have arisen whether vaccine safety has been/is being/will be compromised in pursuit of a shortened vaccine development time. There are myriad mechanisms related to vaccine-induced, and natural infection-induced, infections that could adversely impact vaccine effectiveness and safety. This paper summarizes many of those mechanisms.
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Affiliation(s)
- Ronald N. Kostoff
- Research Affiliate, School of Public Policy, Georgia Institute of Technology, Gainesville, VA, 20155, USA
| | - Darja Kanduc
- Department of Biosciences, Biotechnologies, and Biopharmaceutics, University of Bari, 70125 Bari, Italy
| | - Alan L. Porter
- School of Public Policy, Georgia Institute of Technology, Atlanta, GA, 30332, USA
- Search Technology, Inc., Peachtree Corners, GA, 30092, USA
| | - Yehuda Shoenfeld
- Zabludowicz Center for Autoimmune Diseases, Sheba Medical Center, Tel-Hashomer 5265601, Israel
- I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation, Sechenov University, Moscow, Russia
| | - Daniela Calina
- Department of Clinical Pharmacy, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania
| | | | - Demetrios A. Spandidos
- Laboratory of Clinical Virology, Medical School, University of Crete, 71409, Heraklion, Greece
| | - Aristidis Tsatsakis
- I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation, Sechenov University, Moscow, Russia
- Department of Forensic Sciences and Toxicology, Faculty of Medicine, University of Crete, 71003 Heraklion, Greece
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