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Kikuchi C, Antonopoulos A, Wang S, Maemura T, Karamanska R, Lee C, Thompson AJ, Dell A, Kawaoka Y, Haslam SM, Paulson JC. Glyco-engineered MDCK cells display preferred receptors of H3N2 influenza absent in eggs used for vaccines. Nat Commun 2023; 14:6178. [PMID: 37794004 PMCID: PMC10551000 DOI: 10.1038/s41467-023-41908-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 09/15/2023] [Indexed: 10/06/2023] Open
Abstract
Evolution of human H3N2 influenza viruses driven by immune selection has narrowed the receptor specificity of the hemagglutinin (HA) to a restricted subset of human-type (Neu5Acα2-6 Gal) glycan receptors that have extended poly-LacNAc (Galβ1-4GlcNAc) repeats. This altered specificity has presented challenges for hemagglutination assays, growth in laboratory hosts, and vaccine production in eggs. To assess the impact of extended glycan receptors on virus binding, infection, and growth, we have engineered N-glycan extended (NExt) cell lines by overexpressing β3-Ν-acetylglucosaminyltransferase 2 in MDCK, SIAT, and hCK cell lines. Of these, SIAT-NExt cells exhibit markedly increased binding of H3 HAs and susceptibility to infection by recent H3N2 virus strains, but without impacting final virus titers. Glycome analysis of these cell lines and allantoic and amniotic egg membranes provide insights into the importance of extended glycan receptors for growth of recent H3N2 viruses and relevance to their production for cell- and egg-based vaccines.
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Affiliation(s)
- Chika Kikuchi
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | | | - Shengyang Wang
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Tadashi Maemura
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Rositsa Karamanska
- Department of Life Sciences, Imperial College London, London, SW7 2AZ, UK
| | - Chiara Lee
- Department of Life Sciences, Imperial College London, London, SW7 2AZ, UK
| | - Andrew J Thompson
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Anne Dell
- Department of Life Sciences, Imperial College London, London, SW7 2AZ, UK
| | - Yoshihiro Kawaoka
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- The Research Center for Global Viral Diseases, National Center for Global Health and Medicine Research Institute, Tokyo, Japan
- Pandemic Preparedness, Infection and Advanced Research Center, The University of Tokyo, Tokyo, Japan
| | - Stuart M Haslam
- Department of Life Sciences, Imperial College London, London, SW7 2AZ, UK.
| | - James C Paulson
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA.
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA.
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Low ZY, Wong KH, Wen Yip AJ, Choo WS. The convergent evolution of influenza A virus: Implications, therapeutic strategies and what we need to know. CURRENT RESEARCH IN MICROBIAL SCIENCES 2023; 5:100202. [PMID: 37700857 PMCID: PMC10493511 DOI: 10.1016/j.crmicr.2023.100202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/14/2023] Open
Abstract
Influenza virus infection, more commonly known as the 'cold flu', is an etiological agent that gives rise to recurrent annual flu and many pandemics. Dated back to the 1918- Spanish Flu, the influenza infection has caused the loss of many human lives and significantly impacted the economy and daily lives. Influenza virus can be classified into four different genera: influenza A-D, with the former two, influenza A and B, relevant to humans. The capacity of antigenic drift and shift in Influenza A has given rise to many novel variants, rendering vaccines and antiviral therapies useless. In light of the emergence of a novel betacoronavirus, the SARS-CoV-2, unravelling the underpinning mechanisms that support the recurrent influenza epidemics and pandemics is essential. Given the symptom similarities between influenza and covid infection, it is crucial to reiterate what we know about the influenza infection. This review aims to describe the origin and evolution of influenza infection. Apart from that, the risk factors entail the implication of co-infections, especially regarding the COVID-19 pandemic is further discussed. In addition, antiviral strategies, including the potential of drug repositioning, are discussed in this context. The diagnostic approach is also critically discussed in an effort to understand better and prepare for upcoming variants and potential influenza pandemics in the future. Lastly, this review encapsulates the challenges in curbing the influenza spread and provides insights for future directions in influenza management.
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Affiliation(s)
- Zheng Yao Low
- School of Science, Monash University Malaysia, 47500 Subang Jaya, Selangor, Malaysia
| | - Ka Heng Wong
- School of Science, Monash University Malaysia, 47500 Subang Jaya, Selangor, Malaysia
| | - Ashley Jia Wen Yip
- School of Science, Monash University Malaysia, 47500 Subang Jaya, Selangor, Malaysia
| | - Wee Sim Choo
- School of Science, Monash University Malaysia, 47500 Subang Jaya, Selangor, Malaysia
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3
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Williams KV, Li ZN, Zhai B, Alcorn JF, Nowalk MP, Levine MZ, Kim SS, Flannery B, Moehling Geffel K, Merranko AJ, Collins M, Susick M, Clarke KS, Zimmerman RK, Martin JM. A Randomized Controlled Trial to Compare Immunogenicity to Cell-Based Versus Live-Attenuated Influenza Vaccines in Children. J Pediatric Infect Dis Soc 2023; 12:342-352. [PMID: 37232430 PMCID: PMC10312301 DOI: 10.1093/jpids/piad033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 05/22/2023] [Indexed: 05/27/2023]
Abstract
BACKGROUND Few studies have focused on the immune response to more recent influenza vaccine formulations such as cell-cultured inactivated influenza vaccine (ccIIV4) or live-attenuated influenza vaccine (LAIV4) in older children and young adults, or differences in immunoglobulin response using newer antibody landscape technology. METHODS Participants ages 4-21 were randomized to receive ccIIV4 (n = 112) or LAIV4 (n = 118). A novel high-throughput multiplex influenza antibody detection assay was used to provide detailed IgG, IgA, and IgM antibody isotypes, along with hemagglutination inhibition levels (HAI), measured pre- and 28 days post-vaccination. RESULTS The HAI and immunoglobulin isotype response to ccIIV4 was greater than LAIV4, with significant increases in IgG but not IgA or IgM. The youngest participants had the highest LAIV4 response. Prior LAIV4 vaccination was associated with a higher response to current season ccIIV4. Cross-reactive A/Delaware/55/2019(H1N1)pdm09 antibodies were present pre-vaccination and increased in response to ccIIV4, but not LAIV4. Immunoglobulin assays strongly correlated with and confirmed the findings of HAI titers to measure immune response. CONCLUSIONS Age and prior season vaccination may play a role in the immune response in children and young adults to ccIIV4 and LAIV4. While immunoglobulin isotypes provide high-level antigen-specific information, HAI titers alone can provide a meaningful representation of day 28 post-vaccination response. CLINICAL TRIALS NO NCT03982069.
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Affiliation(s)
- Katherine V Williams
- Department of Family Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Zhu-Nan Li
- National Center Immunizations and Respiratory Disease, Center for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Bo Zhai
- Department of Immunology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - John F Alcorn
- Department of Immunology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Department of Pediatrics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Mary Patricia Nowalk
- Department of Family Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Min Z Levine
- National Center Immunizations and Respiratory Disease, Center for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Sara S Kim
- National Center Immunizations and Respiratory Disease, Center for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Brendan Flannery
- National Center Immunizations and Respiratory Disease, Center for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | - Amanda Jaber Merranko
- Falk Pharmacy, University of Pittsburgh Medical Center (UPMC), Pittsburgh, Pennsylvania, USA
| | - Mark Collins
- Department of Family Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Michael Susick
- Department of Family Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Karen S Clarke
- Department of Family Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Richard K Zimmerman
- Department of Family Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Judith M Martin
- Department of Pediatrics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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4
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Williams KV, Moehling Geffel K, Alcorn JF, Patricia Nowalk M, Levine MZ, Kim SS, Flannery B, Susick M, Zimmerman RK. Factors associated with humoral immune response in older adults who received egg-free influenza vaccine. Vaccine 2023; 41:862-869. [PMID: 36543682 PMCID: PMC9850444 DOI: 10.1016/j.vaccine.2022.12.041] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 11/11/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Immune responses to influenza vaccination tend to be lower among older, frequently vaccinated adults. Use of egg-free influenza vaccines is increasing, but limited data exist on factors associated with their immunogenicity in older adults. METHODS Community-dwelling older adults ≥ 56 years of age were enrolled in a prospective, observational study of immunogenicity of 2018-2019 influenza vaccine. Hemagglutination inhibition (HAI) antibody titers were measured pre-vaccination (Day 0) and four weeks after vaccination (Day 28) to calculate geometric mean titers, seropositivity (HAI titers ≥ 1:40), seroconversion (fourfold rise in HAI titer with post-vaccination titer ≥ 1:40) and geometric mean fold rise (GMFR). Linear regression models assessed the association of predictors of GMFR for each vaccine antigen. RESULTS Among 91 participants who received egg-free influenza vaccines, 84 (92.3 %) received quadrivalent recombinant influenza vaccine (RIV4, Flublok, Sanofi Pasteur), and 7 (7.7 %) received quadrivalent cell culture-based influenza vaccine (ccIIV4, Flucelvax, Seqirus). Pre-vaccination seropositivity was 52.8 % for A(H1N1), 94.5 % for A(H3N2), 61.5 % for B/Colorado and 48.4 % for B/Phuket. Seroconversion by antigen ranged from 16.5 % for A(H1N1) and B/Colorado to 37.4 % for A(H3N2); 40 participants failed to seroconvert to any antigen. Factors independently associated with higher GMFR in multivariable models included lower pre-vaccination HAI antibody titer for A(H1N1), B/Colorado and B/Phuket, and younger age for A(H1N1). CONCLUSION Overall pre-vaccination seropositivity was high and just over half of the cohort seroconverted to ≥ 1 vaccine antigen. Antibody responses were highest among participants with lower pre-vaccination titers. Among older adults with high pre-existing antibody titers, approaches to improve immune responses are needed.
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Affiliation(s)
- Katherine V Williams
- Department of Family Medicine, University of Pittsburgh, 4420 Bayard Street, Suite 520, Pittsburgh, PA 15260, USA.
| | - Krissy Moehling Geffel
- Department of Family Medicine, University of Pittsburgh, 4420 Bayard Street, Suite 520, Pittsburgh, PA 15260, USA
| | - John F Alcorn
- Department of Immunology, University of Pittsburgh, 9127 Rangos Research Center, 4401 Penn Avenue, Pittsburgh, PA 15224, USA; Department of Pediatrics, University of Pittsburgh, 3520 Fifth Avenue, Pittsburgh, PA 15213, USA.
| | - Mary Patricia Nowalk
- Department of Family Medicine, University of Pittsburgh, 4420 Bayard Street, Suite 520, Pittsburgh, PA 15260, USA.
| | - Min Z Levine
- National Center Immunizations and Respiratory Disease, Center for Disease Control and Prevention, Atlanta, GA, USA.
| | - Sara S Kim
- National Center Immunizations and Respiratory Disease, Center for Disease Control and Prevention, Atlanta, GA, USA.
| | - Brendan Flannery
- National Center Immunizations and Respiratory Disease, Center for Disease Control and Prevention, Atlanta, GA, USA.
| | - Michael Susick
- Department of Family Medicine, University of Pittsburgh, 4420 Bayard Street, Suite 520, Pittsburgh, PA 15260, USA.
| | - Richard K Zimmerman
- Department of Family Medicine, University of Pittsburgh, 4420 Bayard Street, Suite 520, Pittsburgh, PA 15260, USA.
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Serial Passaging of Seasonal H3N2 Influenza A/Singapore/G2-31.1/2014 Virus in MDCK-SIAT1 Cells and Primary Chick Embryo Cells Generates HA D457G Mutation and Other Variants in HA, NA, PB1, PB1-F2, and NS1. Int J Mol Sci 2022; 23:ijms232012408. [PMID: 36293269 PMCID: PMC9604028 DOI: 10.3390/ijms232012408] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 10/09/2022] [Accepted: 10/14/2022] [Indexed: 11/16/2022] Open
Abstract
Influenza remains one of the most prevalent viruses circulating amongst humans and has resulted in several pandemics. The prevention and control of H3N2 influenza is complicated by its propensity for evolution, which leads to vaccine mismatch and reduced vaccine efficacies. This study employed the strategy of serial passaging to compare the evolution of the human seasonal influenza strain A/Singapore/G2-31.1/2014(H3N2) in MDCK-SIAT1 versus primary chick embryo fibroblast (CEF) cells. Genetic analysis of the HA, NS1, NA, and PB1 gene segments by Sanger sequencing revealed the presence of specific mutations and a repertoire of viral quasispecies following serial passaging. Most quasispecies were also found in PB1, which exhibited consistently high transversion-to-transition ratios in all five MDCK-SIAT1 passages. Most notably, passage 5 virus harbored the D457G substitution in the HA2 subunit, while passage 3 virus acquired K53Q and Q69H mutations in PB1-F2. An A971 variant leading to a non-synonymous R316Q substitution in PB1 was also identified in MDCK-SIAT1 passages 2 and 4. With an increasing number of passages, the proportion of D457G mutations progressively increased and was associated with larger virus plaque sizes. However, microneutralization assays revealed no significant differences in the neutralizing antibody profiles of human-influenza-immune serum samples against pre-passaged virus and passage 5 virus. In contrast, viable virus was only detected in passage 1 of CEF cells, which gave rise to multiple viral RNA quasispecies. Our findings highlight that serial passaging is able to drive differential adaptation of H3N2 influenza in different host species and may alter viral virulence. More studies are warranted to elucidate the complex relationships between H3N2 virus evolution, viral virulence changes, and low vaccine efficacy.
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6
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Liu Y, Chen H, Duan W, Zhang X, He X, Nielsen R, Ma L, Zhai W. Predicting Egg Passage Adaptations to Design Better Vaccines for the H3N2 Influenza Virus. Viruses 2022; 14:v14092065. [PMID: 36146872 PMCID: PMC9501976 DOI: 10.3390/v14092065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 09/12/2022] [Accepted: 09/13/2022] [Indexed: 11/16/2022] Open
Abstract
Seasonal H3N2 influenza evolves rapidly, leading to an extremely poor vaccine efficacy. Substitutions employed during vaccine production using embryonated eggs (i.e., egg passage adaptation) contribute to the poor vaccine efficacy (VE), but the evolutionary mechanism remains elusive. Using an unprecedented number of hemagglutinin sequences (n = 89,853), we found that the fitness landscape of passage adaptation is dominated by pervasive epistasis between two leading residues (186 and 194) and multiple other positions. Convergent evolutionary paths driven by strong epistasis explain most of the variation in VE, which has resulted in extremely poor vaccines for the past decade. Leveraging the unique fitness landscape, we developed a novel machine learning model that can predict egg passage substitutions for any candidate vaccine strain before the passage experiment, providing a unique opportunity for the selection of optimal vaccine viruses. Our study presents one of the most comprehensive characterizations of the fitness landscape of a virus and demonstrates that evolutionary trajectories can be harnessed for improved influenza vaccines.
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Affiliation(s)
- Yunsong Liu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Hui Chen
- Human Genetics, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore 138672, Singapore
| | - Wenyuan Duan
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Xinyi Zhang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Xionglei He
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Rasmus Nielsen
- Department of Integrative Biology, University of California-Berkeley, Berkeley, CA 94707, USA
- Department of Statistics, University of California-Berkeley, Berkeley, CA 94707, USA
- Globe Institute, University of Copenhagen, 1350 København, Copenhagen, Denmark
| | - Liang Ma
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Weiwei Zhai
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- University of the Chinese Academy of Sciences, Beijing 100049, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
- Correspondence:
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7
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MADE: A Computational Tool for Predicting Vaccine Effectiveness for the Influenza A(H3N2) Virus Adapted to Embryonated Eggs. Vaccines (Basel) 2022; 10:vaccines10060907. [PMID: 35746515 PMCID: PMC9227319 DOI: 10.3390/vaccines10060907] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 05/29/2022] [Accepted: 05/31/2022] [Indexed: 01/29/2023] Open
Abstract
Seasonal Influenza H3N2 virus poses a great threat to public health, but its vaccine efficacy remains suboptimal. One critical step in influenza vaccine production is the viral passage in embryonated eggs. Recently, the strength of egg passage adaptation was found to be rapidly increasing with time driven by convergent evolution at a set of functionally important codons in the hemagglutinin (HA1). In this study, we aim to take advantage of the negative correlation between egg passage adaptation and vaccine effectiveness (VE) and develop a computational tool for selecting the best candidate vaccine virus (CVV) for vaccine production. Using a probabilistic approach known as mutational mapping, we characterized the pattern of sequence evolution driven by egg passage adaptation and developed a new metric known as the adaptive distance (AD) which measures the overall strength of egg passage adaptation. We found that AD is negatively correlated with the influenza H3N2 vaccine effectiveness (VE) and ~75% of the variability in VE can be explained by AD. Based on these findings, we developed a computational package that can Measure the Adaptive Distance and predict vaccine Effectiveness (MADE). MADE provides a powerful tool for the community to calibrate the effect of egg passage adaptation and select more reliable strains with minimum egg-passaged changes as the seasonal A/H3N2 influenza vaccine.
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8
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Kang M, Zanin M, Wong SS. Subtype H3N2 Influenza A Viruses: An Unmet Challenge in the Western Pacific. Vaccines (Basel) 2022; 10:vaccines10010112. [PMID: 35062773 PMCID: PMC8778411 DOI: 10.3390/vaccines10010112] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 01/07/2022] [Accepted: 01/07/2022] [Indexed: 02/04/2023] Open
Abstract
Subtype H3N2 influenza A viruses (A(H3N2)) have been the dominant strain in some countries in the Western Pacific region since the 2009 influenza A(H1N1) pandemic. Vaccination is the most effective way to prevent influenza; however, low vaccine effectiveness has been reported in some influenza seasons, especially for A(H3N2). Antigenic mismatch introduced by egg-adaptation during vaccine production between the vaccine and circulating viral stains is one of the reasons for low vaccine effectiveness. Here we review the extent of this phenomenon, the underlying molecular mechanisms and discuss recent strategies to ameliorate this, including new vaccine platforms that may provide better protection and should be considered to reduce the impact of A(H3N2) in the Western Pacific region.
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Affiliation(s)
- Min Kang
- School of Public Health, Southern Medical University, Guangzhou 510515, China;
- Guangdong Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Mark Zanin
- State Key Laboratory for Respiratory Diseases and National Clinical Research Centre for Respiratory Disease, Guangzhou Medical University, 195 Dongfengxi Road, Guangzhou 511436, China;
- School of Public Health, The University of Hong Kong, 7 Sassoon Road, Pokfulam, Hong Kong, China
| | - Sook-San Wong
- State Key Laboratory for Respiratory Diseases and National Clinical Research Centre for Respiratory Disease, Guangzhou Medical University, 195 Dongfengxi Road, Guangzhou 511436, China;
- School of Public Health, The University of Hong Kong, 7 Sassoon Road, Pokfulam, Hong Kong, China
- Correspondence: ; Tel.: +86-178-2584-6078
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Poor Vaccine Effectiveness against Influenza B-Related Severe Acute Respiratory Infection in a Temperate North Indian State (2019-2020): A Call for Further Data for Possible Vaccines with Closer Match. Vaccines (Basel) 2021; 9:vaccines9101094. [PMID: 34696202 PMCID: PMC8540586 DOI: 10.3390/vaccines9101094] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 09/21/2021] [Accepted: 09/21/2021] [Indexed: 01/22/2023] Open
Abstract
Background: Influenza vaccine uptake in India is poor, and scant data exist regarding the effectiveness of influenza vaccine against hospitalization. Methods: From October 2019 to March 2020, vaccination status of 1219 patients (males n = 571, aged 5–107 years; median, 50 years) hospitalized with severe acute respiratory illness (SARI) was assessed. The patients were tested for influenza viruses and their subtypes by RT PCR. Sequencing of the HA gene was performed. Vaccine effectiveness (VE) against influenza subtypes was estimated by the test negative design. Results: A total of 336 (27.5%) patients were influenza-positive, with influenza B/Victoria accounting for 49.7% (n = 167), followed by influenza A/H1N1 (47.6%; n = 155) and influenza A/H3N2 (4.4%; n = 15). About 6.8% and 8.6% of the influenza-positive and influenza-negative patients, respectively, had been vaccinated. Adjusted VE for any influenza strain was 13% (95% CI −42 to 47), which for influenza B was 0%. HA sequencing revealed that influenza B samples mainly belonged to subclade V1A.3/133R with deletion of residues 163–165, as against the 2-aa deletion in influenza B/Colorado/06/2017 strain, contained in the vaccine. VE for influenza A/H1N1 was 55%. Conclusions: Poor VE due to a genetic mismatch between the circulating strain and the vaccine strain calls for efforts to reduce the mismatch.
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10
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McLean HQ, Belongia EA. Influenza Vaccine Effectiveness: New Insights and Challenges. Cold Spring Harb Perspect Med 2021; 11:cshperspect.a038315. [PMID: 31988202 DOI: 10.1101/cshperspect.a038315] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Methods for assessing influenza vaccine efficacy and effectiveness have evolved over six decades. Randomized trials remain the gold standard for licensure, but observational studies are needed for annual assessment of vaccine effectiveness (VE). The test-negative design (TND) has become the de facto standard for these field studies. Patients who seek medical care with acute respiratory illness are tested for influenza, and VE is estimated from the odds of vaccination among influenza cases versus test-negative controls. VE varies across seasons, populations, age groups, and products, but VE estimates are consistently higher for A(H1N1)pdm09 and type B compared with A(H3N2). VE studies are increasingly used in combination with molecular epidemiology to understand the viral and immune system factors that drive clinical efficacy and effectiveness. The emerging field of immunoepidemiology offers the potential to understand complex host-virus interactions that affect vaccine protection, and this knowledge will contribute to universal vaccine development.
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Affiliation(s)
- Huong Q McLean
- Center for Clinical Epidemiology & Population Health, Marshfield Clinic Research Institute, Marshfield, Wisconsin 54449, USA
| | - Edward A Belongia
- Center for Clinical Epidemiology & Population Health, Marshfield Clinic Research Institute, Marshfield, Wisconsin 54449, USA
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11
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A Faster and More Accurate Algorithm for Calculating Population Genetics Statistics Requiring Sums of Stirling Numbers of the First Kind. G3-GENES GENOMES GENETICS 2020; 10:3959-3967. [PMID: 32900901 PMCID: PMC7642932 DOI: 10.1534/g3.120.401575] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
Ewen’s sampling formula is a foundational theoretical result that connects probability and number theory with molecular genetics and molecular evolution; it was the analytical result required for testing the neutral theory of evolution, and has since been directly or indirectly utilized in a number of population genetics statistics. Ewen’s sampling formula, in turn, is deeply connected to Stirling numbers of the first kind. Here, we explore the cumulative distribution function of these Stirling numbers, which enables a single direct estimate of the sum, using representations in terms of the incomplete beta function. This estimator enables an improved method for calculating an asymptotic estimate for one useful statistic, Fu’s Fs. By reducing the calculation from a sum of terms involving Stirling numbers to a single estimate, we simultaneously improve accuracy and dramatically increase speed.
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12
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Retrospective Assessment of the Antigenic Similarity of Egg-Propagated and Cell Culture-Propagated Reference Influenza Viruses as Compared with Circulating Viruses across Influenza Seasons 2002-2003 to 2017-2018. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17155423. [PMID: 32731417 PMCID: PMC7432082 DOI: 10.3390/ijerph17155423] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 07/24/2020] [Accepted: 07/25/2020] [Indexed: 11/17/2022]
Abstract
Suboptimal vaccine effectiveness against seasonal influenza is a significant public health concern, partly explained by antigenic differences between vaccine viruses and viruses circulating in the environment. Haemagglutinin mutations within vaccine viruses acquired during serial passage in eggs have been identified as a source of antigenic variation between vaccine and circulating viruses. This study retrospectively compared the antigenic similarity of circulating influenza isolates with egg- and cell-propagated reference viruses to assess any observable trends over a 16-year period. Using annual and interim reports published by the Worldwide Influenza Centre, London, for the 2002-2003 to 2017-2018 influenza seasons, we assessed the proportions of circulating viruses which showed antigenic similarity to reference viruses by season. Egg-propagated reference viruses were well matched against circulating viruses for A/H1N1 and B/Yamagata. However, A/H3N2 and B/Victoria cell-propagated reference viruses appeared to be more antigenically similar to circulating A/H3N2 and B/Victoria viruses than egg-propagated reference viruses. These data support the possibility that A/H3N2 and B/Victoria viruses are relatively more prone to egg-adaptive mutation. Cell-propagated A/H3N2 and B/Victoria reference viruses were more antigenically similar to circulating A/H3N2 and B/Victoria viruses over a 16-year period than were egg-propagated reference viruses.
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Moehling KK, Zimmerman RK, Nowalk MP, Jeng Lin C, Martin JM, Alcorn JF, Susick M, Burroughs A, Holiday C, Flannery B, Levine MZ. A randomized controlled trial of antibody response to 2018-19 cell-based vs. egg-based quadrivalent inactivated influenza vaccine in children. Vaccine 2020; 38:5171-5177. [PMID: 32580919 DOI: 10.1016/j.vaccine.2020.06.023] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 06/02/2020] [Accepted: 06/08/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND Current influenza vaccine effectiveness (VE) improvement efforts focus on minimizing egg adaptation mutations during manufacture. This study compared immune response of two FDA-approved quadrivalent inactivated influenza vaccines in an unblinded randomized controlled trial. METHODS Participants were 144 community dwelling, healthy children/adolescents aged 4-20 years, randomized 1:1 in blocks of 4 to a vaccine grown in cell culture (ccIIV4 [Flucelvax®]; n = 85); or in egg medium (IIV4 [Fluzone ®]; n = 83). Blood was drawn at day 0 prevaccination and at day 28 (19-35 days) post vaccination. Hemagglutination inhibition (HI) assays against A/H1N1 and both B strains and microneutralization (MN) assays against egg-based and cell-based A/H3N2 strains were conducted. The primary outcome measure was seroconversion (day 28/day 0 titer ratio ≥ 4 with day 28 titer ≥ 40). Secondary outcomes were elevated titers (day 28 HI titer ≥ 1:110), geometric mean titers (GMTs) and mean fold rise (MFR) in titers. Outcomes were compared for 74 ccIIV4 recipients and 70 IIV4 recipients, and for those vaccinated and unvaccinated the previous year. Only the HI and MN laboratory analysis team was blinded to group assignment. RESULTS In this racially diverse (81% non-white) group of children with a median age of 14 years, baseline demographics did not differ between vaccine groups. At day 0, half or more in each vaccine group had elevated HI or MN titers. Low seroconversion rates (14%-35%) were found; they did not differ between groups. Among 2018-19 ccIIV4 recipients, those unvaccinated in the previous season showed significantly higher MFR against A/H1N1 and A/H3N2 cell-grown virus than the previously vaccinated. Similar results were found for MFR against B/Victoria among 2018-2019 IIV4 recipients. CONCLUSION In mostly older children with high baseline titers, no differences in seroconversion or other measures of antibody titers were found between ccIIV4 and IIV4 recipients against egg- and cell-grown influenza vaccine viruses. CLINICAL TRIALS NO NCT03614975.
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Affiliation(s)
- Krissy K Moehling
- Department of Family Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Richard K Zimmerman
- Department of Family Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | | | | | - Judith M Martin
- Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA, USA
| | - John F Alcorn
- Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA, USA; Department of Immunology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Michael Susick
- Department of Family Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ashley Burroughs
- National Center Immunizations and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta GA, USA
| | - Crystal Holiday
- National Center Immunizations and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta GA, USA
| | - Brendan Flannery
- National Center Immunizations and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta GA, USA
| | - Min Z Levine
- National Center Immunizations and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta GA, USA
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Klein NP, Fireman B, Goddard K, Zerbo O, Asher J, Zhou J, King J, Lewis N. Vaccine effectiveness of cell-culture relative to egg-based inactivated influenza vaccine during the 2017-18 influenza season. PLoS One 2020; 15:e0229279. [PMID: 32101582 PMCID: PMC7043803 DOI: 10.1371/journal.pone.0229279] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Accepted: 02/03/2020] [Indexed: 02/01/2023] Open
Abstract
There is concern that influenza vaccine effectiveness (VE) may be attenuated by passage in eggs during manufacture. We compared quadrivalent cell-culture vaccine with egg-based vaccines, most of which were trivalent, against influenza A and B during 2017–2018 when A(H3N2) and B/Yamagata (present only in quadrivalent vaccines) predominated. We retrospectively examined risk of PCR-confirmed influenza A and B in members of Kaiser Permanente Northern California aged 4–64 years. We estimated the relative VE (rVE) of cell-culture vaccine versus egg-based vaccines, and the absolute VE (aVE) of each vaccine comparing vaccinated to unvaccinated individuals. Analyses used Cox regression with a calendar timeline, stratified by birth year, and adjusted for demographics, co-morbidities and utilization. One-third (1,016,965/3,053,248) of the population was vaccinated; 932,545 (91.7% of vaccinees) received egg-based and 84,420 (8.3%) received cell-culture vaccines. The rVE against influenza A was 8.0% (95% CI: –10, 23); aVE was 31.7% (CI: 18.7, 42.6) for cell-culture and 20.1% (CI: 14.5, 25.4) for egg-based vaccines. The rVE against influenza B was 39.6% (CI: 27.9, 49.3); aVE was 40.9% (CI: 30, 50.1) for cell-culture and 9.7% (CI 3.5, 15.6) for egg-based trivalent vaccines. Inclusion of the B/Yamagata lineage in the quadrivalent cell-based vaccine provided better protection against influenza B but vaccine effectiveness against influenza A was low for both the cell-culture vaccine and the egg-based vaccines. Improving influenza vaccines requires ongoing comparative vaccine effectiveness monitoring.
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Affiliation(s)
- Nicola P. Klein
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California, United States of America
- * E-mail:
| | - Bruce Fireman
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California, United States of America
| | - Kristin Goddard
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California, United States of America
| | - Ousseny Zerbo
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California, United States of America
| | - Jason Asher
- U.S. Biomedical Advanced Research and Development Authority (BARDA), Office of the Assistant Secretary for Preparedness and Response, United States Department of Health and Human Services, Washington, District of Columbia, United States of America
| | - James Zhou
- U.S. Biomedical Advanced Research and Development Authority (BARDA), Office of the Assistant Secretary for Preparedness and Response, United States Department of Health and Human Services, Washington, District of Columbia, United States of America
| | - James King
- U.S. Biomedical Advanced Research and Development Authority (BARDA), Office of the Assistant Secretary for Preparedness and Response, United States Department of Health and Human Services, Washington, District of Columbia, United States of America
| | - Ned Lewis
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California, United States of America
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15
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Park YW, Kim YH, Jung HU, Jeong OS, Hong EJ, Kim H, Lee JI. Comparison of antigenic mutation during egg and cell passage cultivation of H3N2 influenza virus. Clin Exp Vaccine Res 2020; 9:56-63. [PMID: 32095441 PMCID: PMC7024727 DOI: 10.7774/cevr.2020.9.1.56] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 01/20/2020] [Accepted: 01/21/2020] [Indexed: 12/15/2022] Open
Abstract
Purpose When influenza viruses are cultured in eggs, amino acid mutations of the hemagglutinin may occur through egg adaptation. On the other hand, when influenza viruses are cultured in animal cells, no antigenic mutation occurs unlike in eggs. Therefore, we examined whether the antigenic mutations actually occurred after passage of H3N2 (A/Texas/50/2012) virus up to 15 times in eggs and MDCK-Sky3851 cells. Materials and Methods Prototype A/Texas/50/2012 (H3N2) influenza virus which was isolated from clinical patient, not passaged in egg, was obtained and propagated using the specific pathogen free egg and the MDCK-Sky3851 cell line up to 15 passage, and the changes in the antigen sequence of the influenza viruses were confirmed by gene sequencing and protein structure analysis. Results In term of the hemagglutination titer of influenza virus, the reactivity to chicken and guinea pig red blood cell showed different results between egg propagated and cell propagated viruses. In the sequence analysis results for hemagglutinin and neuraminidase, no antigenic mutation was observed throughout all passages when cultured in MDCK-Sky3851 cells. On the other hand, mutations occurred in three amino acid sequences (H156R, G186S, S219F) in hemagglutinin up to 15 passages when cultured in eggs. Conclusion H3N2 influenza virus cultured in eggs could lead mutations in amino acid sequence of hemagglutinin, distinct from the corresponding virus cultured in cells for which no antigenic mutation was observed. These findings suggest that cell culture is a more stable and effective way of production with lower risk of antigenic mutations for the manufacture of influenza vaccines.
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Affiliation(s)
- Yong Wook Park
- Department of Bio R&D, SK Bioscience, Seongnam, Korea.,Department of Veterinary Medicine, College of Veterinary Medicine, Chonnam National University, Gwangju, Korea
| | - Yun Hee Kim
- Department of Bio R&D, SK Bioscience, Seongnam, Korea
| | - Hwan Ui Jung
- Department of Bio R&D, SK Bioscience, Seongnam, Korea
| | - Oh Seok Jeong
- Department of Bio R&D, SK Bioscience, Seongnam, Korea
| | - Eun Ji Hong
- Department of Bio R&D, SK Bioscience, Seongnam, Korea
| | - Hun Kim
- Department of Bio R&D, SK Bioscience, Seongnam, Korea
| | - Jae Il Lee
- Department of Veterinary Medicine, College of Veterinary Medicine, Chonnam National University, Gwangju, Korea
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16
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DuPai CD, McWhite CD, Smith CB, Garten R, Maurer-Stroh S, Wilke CO. Influenza passaging annotations: what they tell us and why we should listen. Virus Evol 2019; 5:vez016. [PMID: 31275610 PMCID: PMC6599686 DOI: 10.1093/ve/vez016] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Influenza databases now contain over 100,000 worldwide sequence records for strains influenza A(H3N2) and A(H1N1). Although these data facilitate global research efforts and vaccine development practices, they also represent a stumbling block for researchers because of their confusing and heterogeneous annotation. Unclear passaging annotations are particularly concerning given the recent work highlighting the presence and risk of false adaptation signals introduced by cell passaging of viral isolates. With this in mind, we aim to provide a concise outline of why viruses are passaged, a clear overview of passaging annotation nomenclature currently in use, and suggestions for a standardized nomenclature going forward. Our hope is that this summary will empower researchers and clinicians alike to more easily understand a virus sample's passage history when analyzing influenza sequences.
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Affiliation(s)
- Cory D DuPai
- Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, USA
| | - Claire D McWhite
- Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, USA
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - Catherine B Smith
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Rebecca Garten
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Sebastian Maurer-Stroh
- Biomolecular Function Discovery Division, Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore
- Department of Biological Sciences (DBS), National University of Singapore (NUS), Singapore
| | - Claus O Wilke
- Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, USA
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
- Center for Computational Biology and Bioinformatics, The University of Texas at Austin, Austin, TX, USA
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