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Okuda M, Sakai-Tagawa Y, Koga M, Koibuchi T, Kikuchi T, Adachi E, Ahyoung Lim L, Yamamoto S, Yotsuyanagi H, Negishi K, Jubishi D, Yamayoshi S, Kawaoka Y. Immunological Correlates of Prevention of the Onset of Seasonal H3N2 Influenza. J Infect Dis 2022; 226:1800-1808. [PMID: 35478039 DOI: 10.1093/infdis/jiac152] [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: 12/21/2021] [Accepted: 04/21/2022] [Indexed: 12/16/2022] Open
Abstract
On influenza virus infection or vaccination, immune responses occur, including the production of antibodies with various functions that contribute to protection from seasonal influenza virus infection. In the current study, we attempted to identify the antibody functions that play a central role in preventing the onset of seasonal influenza by comparing the levels of several antibody titers for different antibody functions between 5 subclinically infected individuals and 16 patients infected with seasonal H3N2 virus. For antibody titers before influenza virus exposure, we found that the nAb titers and enzyme-linked immunosorbent assay titers against hemagglutinin and neuraminidase (NA) proteins in the subclinically infected individuals were significantly higher than those in the patients, whereas the NA inhibition titers and antibody-dependent cellular cytotoxicity activities did not significantly differ between subclinically infected individuals and infected patients. These results suggest that nAb and enzyme-linked immunosorbent assay titers against hemagglutinin and NA serve as correlates of symptomatic influenza infection.
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Affiliation(s)
- Moe Okuda
- Department of Virology, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Yuko Sakai-Tagawa
- Department of Virology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.,International Research Center for Infectious Diseases, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Michiko Koga
- Division of Infectious Diseases, Advanced Clinical Research Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Tomohiko Koibuchi
- Department of Infectious Diseases and Applied Immunology, IMSUT Hospital of Institute of Medical Science, the University of Tokyo, Tokyo, Japan
| | - Tadashi Kikuchi
- Department of Infectious Diseases and Applied Immunology, IMSUT Hospital of Institute of Medical Science, the University of Tokyo, Tokyo, Japan
| | - Eisuke Adachi
- Department of Infectious Diseases and Applied Immunology, IMSUT Hospital of Institute of Medical Science, the University of Tokyo, Tokyo, Japan
| | - Lay Ahyoung Lim
- Department of Infectious Diseases and Applied Immunology, IMSUT Hospital of Institute of Medical Science, the University of Tokyo, Tokyo, Japan
| | - Shinya Yamamoto
- Department of Virology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.,Division of Infectious Diseases, Advanced Clinical Research Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Hiroshi Yotsuyanagi
- Division of Infectious Diseases, Advanced Clinical Research Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan.,Department of Infectious Diseases and Applied Immunology, IMSUT Hospital of Institute of Medical Science, the University of Tokyo, Tokyo, Japan
| | - Kyota Negishi
- Tokyo Health Cooperative Association, Nezu Clinic, Tokyo, Japan
| | - Daisuke Jubishi
- Tokyo Health Cooperative Association, Nezu Clinic, Tokyo, Japan.,Department of Infectious Diseases, The University of Tokyo Hospital, Tokyo, Japan
| | - Seiya Yamayoshi
- Department of Virology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.,International Research Center for Infectious Diseases, Institute of Medical Science, University of Tokyo, Tokyo, Japan.,The Research Center for Global Viral Diseases, National Center for Global Health and Medicine Research Institute, Tokyo, Japan
| | - Yoshihiro Kawaoka
- Department of Virology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.,International Research Center for Infectious Diseases, Institute of Medical Science, University of Tokyo, Tokyo, Japan.,The Research Center for Global Viral Diseases, National Center for Global Health and Medicine Research Institute, Tokyo, Japan.,Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA
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2
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Gorse GJ, Grimes S, Buck H, Mulla H, White P, Hill H, May J, Frey SE, Blackburn P. A phase 1 dose-sparing, randomized clinical trial of seasonal trivalent inactivated influenza vaccine combined with MAS-1, a novel water-in-oil adjuvant/delivery system. Vaccine 2022; 40:1271-1281. [PMID: 35125219 DOI: 10.1016/j.vaccine.2022.01.034] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 01/12/2022] [Accepted: 01/17/2022] [Indexed: 01/22/2023]
Abstract
BACKGROUND New influenza vaccines are needed to increase vaccine efficacy. Adjuvants may allow hemagglutinin (HA) dose-sparing with enhanced immunogenicity. MAS-1 is an investigational low viscosity, free-flowing, water-in-oil emulsion-based adjuvant/delivery system comprised of stable nanoglobular aqueous droplets. METHODS A phase 1, double-blind, safety and immunogenicity, HA dose escalation, randomized clinical trial was conducted. MAS-1 adjuvant with 1, 3, 5 or 9 µg per HA derived from licensed seasonal trivalent high dose inactivated influenza vaccine (IIV, Fluzone HD 60 µg per HA) in a 0.3 mL dose were compared to standard dose IIV (Fluzone SD, 15 µg per HA). Safety was measured by reactogenicity, adverse events, and clinical laboratory tests. Serum hemagglutination inhibition (HAI) antibody titers were measured for immunogenicity. RESULTS Seventy-two subjects, aged 18-47 years, received one dose of either 0.3 mL adjuvanted vaccine or SD IIV intramuscularly. Common injection site and systemic reactions post-vaccination were mild tenderness, induration, pain, headache, myalgia, malaise and fatigue. All reactions resolved within 14 days post-vaccination. Safety laboratory measures were not different between groups. Geometric mean antibody titers, geometric mean fold increases in antibody titer, seroconversion rates and seroprotection rates against vaccine strains were in general higher and of longer duration (day 85 and 169 visits) with MAS-1-adjuvanted IIV at all doses of HA compared with SD IIV. Adjuvanted vaccine induced higher antibody responses against a limited number of non-study vaccine influenza B and A/H3N2 viruses including ones from subsequent years. CONCLUSION MAS-1 adjuvant in a 0.3 mL dose volume provided HA dose-sparing effects without safety concerns and induced higher HAI antibody and seroconversion responses through at least 6 months, demonstrating potential to provide greater vaccine efficacy throughout an influenza season in younger adults. In summary, MAS-1 may provide enhanced, more durable and broader protective immunity compared with non-adjuvanted SD IIV. Clinical Trial Registry: ClinicalTrials.gov # NCT02500680.
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Affiliation(s)
| | | | | | | | | | | | | | - Sharon E Frey
- Saint Louis University School of Medicine, St. Louis, MO, USA
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3
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MAS-1, a novel water-in-oil adjuvant/delivery system, with reduced seasonal influenza vaccine hemagglutinin dose may enhance potency, durability and cross-reactivity of antibody responses in the elderly. Vaccine 2022; 40:1472-1482. [PMID: 35125224 DOI: 10.1016/j.vaccine.2022.01.035] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 01/12/2022] [Accepted: 01/17/2022] [Indexed: 01/19/2023]
Abstract
BACKGROUND Increased influenza vaccine efficacy is needed in the elderly at high-risk for morbidity and mortality due to influenza infection. Adjuvants may allow hemagglutinin (HA) dose-sparing with enhanced immunogenicity. MAS-1 is an investigational water-in-oil emulsion-based adjuvant/delivery system comprised of stable nanoglobular aqueous droplets. METHODS A phase 1, randomized, double-blind, safety and immunogenicity, adjuvant dose escalation trial was conducted in persons aged 65 years and older. MAS-1 adjuvant dose volumes at 0.3 mL or 0.5 mL containing 9 µg per HA derived from licensed seasonal trivalent influenza vaccine (IIV, Fluzone HD 60 µg per HA, Sanofi Pasteur) were compared to high dose (HD) IIV (Fluzone HD). Safety was measured by reactogenicity, adverse events, and safety laboratory measures. Immunogenicity was assessed by serum hemagglutination inhibition (HAI) antibody titers. RESULTS Forty-five subjects, aged 65-83 years, were randomly assigned to receive 9 µg per HA in 0.3 mL MAS-1 (15 subjects) or HD IIV (15 subjects) followed by groups randomly assigned to receive 9 µg per HA in 0.5 mL MAS-1 (10 subjects) or HD IIV (5 subjects). Injection site tenderness, induration, and pain, and headache, myalgia, malaise and fatigue were common, resolving before day 14 post-vaccination. Clinically significant late-onset injection site reactions occurred in four of ten subjects at the 0.5 mL adjuvant dose. Safety laboratory measures were within acceptable limits. MAS-1-adjuvanted IIV enhanced mean antibody titers, mean-fold increases in antibody titer, and seroconversion rates against vaccine strains for at least 168 days post-vaccination and enhanced cross-reactive antibodies against some non-study vaccine influenza viruses. CONCLUSION MAS-1 adjuvant provided HA dose-sparing without safety concerns at the 0.3 mL dose, but the 0.5 mL dose caused late injection site reactions. MAS-1-adjuvanted IIV induced higher HAI antibody responses with prolonged durability including against historical strains, thereby providing greater potential vaccine efficacy in the elderly throughout an influenza season. Clinical Trial Registry: ClinicalTrials.gov # NCT02500680.
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4
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Gorse GJ, Rattigan SM, Kirpich A, Simberkoff MS, Bessesen MT, Gibert C, Nyquist AC, Price CS, Gaydos CA, Radonovich LJ, Perl TM, Rodriguez-Barradas MC, Cummings DAT. Influence of Pre-Season Antibodies against Influenza Virus on Risk of Influenza Infection among Health Care Personnel. J Infect Dis 2021; 225:891-902. [PMID: 34534319 DOI: 10.1093/infdis/jiab468] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 09/14/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The association of hemagglutination inhibition (HAI) antibodies with protection from influenza among healthcare personnel (HCP) with occupational exposure to influenza viruses has not been well-described. METHODS The Respiratory Protection Effectiveness Clinical Trial was a cluster-randomized, multi-site study that compared medical masks to N95 respirators in preventing viral respiratory infections among HCP in outpatient healthcare settings for 5,180 participant-seasons. Serum HAI antibody titers before each influenza season and influenza virus infection confirmed by polymerase chain reaction were studied over four study years. RESULTS In univariate models, the risk of influenza A(H3N2) and B virus infections was associated with HAI titers to each virus, study year, and site. HAI titers were strongly associated with vaccination. Within multivariate models, each log base 2 increase in titer was associated with 15%, 26% and 33-35% reductions in the hazard of influenza A(H3N2), A(H1N1) and B infections, respectively. Best models included pre-season antibody titers and study year, but not other variables. CONCLUSIONS HAI titers were associated with protection from influenza among HCP with routine exposure to patients with respiratory illness and influenza season contributed to risk. HCP can be reassured about receiving influenza vaccination to stimulate immunity.
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Affiliation(s)
- Geoffrey J Gorse
- Section of Infectious Diseases, Veterans Affairs St. Louis Health Care System, St. Louis, MO, 63106 USA.,Division of Infectious Diseases, Allergy and Immunology, Saint Louis University School of Medicine, St. Louis, MO, 63104 USA
| | - Susan M Rattigan
- Department of Biology and the Emerging Pathogens Institute, University of Florida, Gainesville, Florida, USA
| | - Alexander Kirpich
- Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA USA
| | - Michael S Simberkoff
- Department of Medicine, Veterans Affairs New York Harbor Healthcare System, New York, NY, USA.,Division of Infectious Diseases, New York University Grossman School of Medicine, New York, NY, USA
| | - Mary T Bessesen
- Veterans Affairs Eastern Colorado Healthcare System, Aurora, CO, 80045 USA.,Division of Infectious Diseases, University of Colorado School of Medicine, Aurora, CO, USA
| | - Cynthia Gibert
- Medical Service, Washington D.C. Veterans Affairs Medical Center, Washington, DC, USA
| | - Ann-Christine Nyquist
- Division of Infectious Diseases, University of Colorado School of Medicine, Aurora, CO, USA.,Department of Pediatrics, Section of Pediatric Infectious Disease and Epidemiology Children's Hospital Colorado, Aurora, CO, USA
| | - Connie Savor Price
- Division of Infectious Diseases, University of Colorado School of Medicine, Aurora, CO, USA.,Infectious Diseases, Denver Health, Denver, CO, USA
| | - Charlotte A Gaydos
- Department of Medicine and Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Lewis J Radonovich
- Respiratory Health Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, WV USA
| | - Trish M Perl
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Division of Infectious Diseases and Geographic Medicine, University of Texas Southwestern, Dallas, TX, USA
| | - Maria C Rodriguez-Barradas
- Infectious Diseases Section, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA.,Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Derek A T Cummings
- Department of Biology and the Emerging Pathogens Institute, University of Florida, Gainesville, Florida, USA.,Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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5
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Sharker Y, Kenah E. Estimating and interpreting secondary attack risk: Binomial considered biased. PLoS Comput Biol 2021; 17:e1008601. [PMID: 33471806 PMCID: PMC7850487 DOI: 10.1371/journal.pcbi.1008601] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 02/01/2021] [Accepted: 12/02/2020] [Indexed: 11/18/2022] Open
Abstract
The household secondary attack risk (SAR), often called the secondary attack rate or secondary infection risk, is the probability of infectious contact from an infectious household member A to a given household member B, where we define infectious contact to be a contact sufficient to infect B if he or she is susceptible. Estimation of the SAR is an important part of understanding and controlling the transmission of infectious diseases. In practice, it is most often estimated using binomial models such as logistic regression, which implicitly attribute all secondary infections in a household to the primary case. In the simplest case, the number of secondary infections in a household with m susceptibles and a single primary case is modeled as a binomial(m, p) random variable where p is the SAR. Although it has long been understood that transmission within households is not binomial, it is thought that multiple generations of transmission can be neglected safely when p is small. We use probability generating functions and simulations to show that this is a mistake. The proportion of susceptible household members infected can be substantially larger than the SAR even when p is small. As a result, binomial estimates of the SAR are biased upward and their confidence intervals have poor coverage probabilities even if adjusted for clustering. Accurate point and interval estimates of the SAR can be obtained using longitudinal chain binomial models or pairwise survival analysis, which account for multiple generations of transmission within households, the ongoing risk of infection from outside the household, and incomplete follow-up. We illustrate the practical implications of these results in an analysis of household surveillance data collected by the Los Angeles County Department of Public Health during the 2009 influenza A (H1N1) pandemic. The household secondary attack risk (SAR), often called the secondary attack rate or secondary infection risk, is the probability of infectious contact from an infectious household member A to a given household member B, where we define infectious contact to be a contact sufficient to infect B if he or she is susceptible. The most common statistical models used to estimate the SAR are binomial models such as logistic regression, which implicitly assume that all secondary infections in a household are infected by the primary case. Here, we use analytical calculations and simulations to show that estimation of the SAR must account for multiple generations of transmission within households. As an example, we show that binomial models and statistical models that account for multiple generations of within-household transmission reach different conclusions about the household SAR for 2009 influenza A (H1N1) in Los Angeles County, with the latter models fitting the data better. In an epidemic, accurate estimation of the SAR allows rigorous evaluation of the effectiveness of public health interventions such as social distancing, prophylaxis or treatment, and vaccination.
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Affiliation(s)
- Yushuf Sharker
- Division of Biometrics, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, United States of America
| | - Eben Kenah
- Biostatistics Division, College of Public Health, The Ohio State University, Columbus, Ohio, United States of America
- * E-mail:
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6
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Nano-based approaches in the development of antiviral agents and vaccines. Life Sci 2020; 265:118761. [PMID: 33189824 PMCID: PMC7658595 DOI: 10.1016/j.lfs.2020.118761] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 11/05/2020] [Accepted: 11/10/2020] [Indexed: 12/17/2022]
Abstract
Outbreaks and the rapid transmission of viruses, such as coronaviruses and influenza viruses, are serious threats to human health. A major challenge in combating infectious diseases caused by viruses is the lack of effective methods for prevention and treatment. Nanotechnology has provided a basis for the development of novel antiviral strategies. Owing to their large modifiable surfaces that can be functionalized with multiple molecules to realize sophisticated designs, nanomaterials have been developed as nanodrugs, nanocarriers, and nano-based vaccines to effectively induce sufficient immunologic memory. From this perspective, we introduce various nanomaterials with diverse antiviral mechanisms and summarize how nano-based antiviral agents protect against viral infection at the molecular, cellular, and organismal levels. We summarize the applications of nanomaterials for defense against emerging viruses by trapping and inactivating viruses and inhibiting viral entry and replication. We also discuss recent progress in nano-based vaccines with a focus on the mechanisms by which nanomaterials contribute to immunogenicity. We further describe how nanotechnology may improve vaccine efficacy by delivering large amounts of antigens to target immune cells and enhancing the immune response by mimicking viral structures and activating dendritic cells. Finally, we provide an overview of future prospects for nano-based antiviral agents and vaccines.
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7
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Ng S, Nachbagauer R, Balmaseda A, Stadlbauer D, Ojeda S, Patel M, Rajabhathor A, Lopez R, Guglia AF, Sanchez N, Amanat F, Gresh L, Kuan G, Krammer F, Gordon A. Novel correlates of protection against pandemic H1N1 influenza A virus infection. Nat Med 2019; 25:962-967. [PMID: 31160818 PMCID: PMC6608747 DOI: 10.1038/s41591-019-0463-x] [Citation(s) in RCA: 115] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 04/15/2019] [Indexed: 12/18/2022]
Affiliation(s)
- Sophia Ng
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.,St. Jude Center of Excellence for Influenza Research and Surveillance, Memphis, TN, USA.,Centers of Excellence for Influenza Research and Surveillance, Bethesda, MD, USA
| | - Raffael Nachbagauer
- Centers of Excellence for Influenza Research and Surveillance, Bethesda, MD, USA.,Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Center for Research on Influenza Pathogenesis, New York, NY, USA
| | - Angel Balmaseda
- Laboratorio Nacional de Virología, Centro Nacional de Diagnóstico y Referencia, Ministry of Health, Managua, Nicaragua.,Sustainable Sciences Institute, Managua, Nicaragua
| | - Daniel Stadlbauer
- Centers of Excellence for Influenza Research and Surveillance, Bethesda, MD, USA.,Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Center for Research on Influenza Pathogenesis, New York, NY, USA
| | - Sergio Ojeda
- Sustainable Sciences Institute, Managua, Nicaragua
| | - Mayuri Patel
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.,St. Jude Center of Excellence for Influenza Research and Surveillance, Memphis, TN, USA.,Centers of Excellence for Influenza Research and Surveillance, Bethesda, MD, USA
| | - Arvind Rajabhathor
- Centers of Excellence for Influenza Research and Surveillance, Bethesda, MD, USA.,Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Center for Research on Influenza Pathogenesis, New York, NY, USA
| | - Roger Lopez
- Laboratorio Nacional de Virología, Centro Nacional de Diagnóstico y Referencia, Ministry of Health, Managua, Nicaragua.,Sustainable Sciences Institute, Managua, Nicaragua
| | - Andrea F Guglia
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nery Sanchez
- Sustainable Sciences Institute, Managua, Nicaragua
| | - Fatima Amanat
- Centers of Excellence for Influenza Research and Surveillance, Bethesda, MD, USA.,Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Center for Research on Influenza Pathogenesis, New York, NY, USA
| | - Lionel Gresh
- Sustainable Sciences Institute, Managua, Nicaragua
| | - Guillermina Kuan
- Sustainable Sciences Institute, Managua, Nicaragua.,Centro de Salud Sócrates Flores Vivas, Ministry of Health, Managua, Nicaragua
| | - Florian Krammer
- Centers of Excellence for Influenza Research and Surveillance, Bethesda, MD, USA. .,Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Center for Research on Influenza Pathogenesis, New York, NY, USA.
| | - Aubree Gordon
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA. .,St. Jude Center of Excellence for Influenza Research and Surveillance, Memphis, TN, USA. .,Centers of Excellence for Influenza Research and Surveillance, Bethesda, MD, USA.
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8
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Sulczewski FB, Liszbinski RB, Romão PRT, Rodrigues Junior LC. Nanoparticle vaccines against viral infections. Arch Virol 2018; 163:2313-2325. [PMID: 29728911 DOI: 10.1007/s00705-018-3856-0] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Accepted: 04/13/2018] [Indexed: 02/07/2023]
Abstract
Despite numerous efforts, we still do not have prophylactic vaccines for many clinically relevant viruses, such as HIV, hepatitis C virus, Zika virus, and respiratory syncytial virus. Several factors have contributed to the current lack of effective vaccines, including the high rate of viral mutation, low immunogenicity of recombinant viral antigens, instability of viral antigenic proteins administered in vivo, sophisticated mechanisms of viral immune evasion, and inefficient induction of mucosal immunity by vaccine models studied to date. Some of these obstacles could be partially overcome by the use of vaccine adjuvants. Nanoparticles have been intensively investigated as vaccine adjuvants because they possess chemical and structural properties that improve immunogenicity. The use of nanotechnology in the construction of immunization systems has developed into the field of viral nanovaccinology. The purpose of this paper is to review and correlate recent discoveries concerning nanoparticles and specific properties that contribute to the immunogenicity of viral nanoparticle vaccines, bio-nano interaction, design of nanoparticle vaccines for clinically relevant viruses, and future prospects for viral nanoparticle vaccination.
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Affiliation(s)
- Fernando B Sulczewski
- Laboratory of Cellular and Molecular Immunology, Federal University of Health Sciences of Porto Alegre (UFCSPA), Av. Sarmento Leite, 245, Porto Alegre, RS, 90050-170, Brazil
| | - Raquel B Liszbinski
- Laboratory of Cellular and Molecular Immunology, Federal University of Health Sciences of Porto Alegre (UFCSPA), Av. Sarmento Leite, 245, Porto Alegre, RS, 90050-170, Brazil
| | - Pedro R T Romão
- Laboratory of Cellular and Molecular Immunology, Federal University of Health Sciences of Porto Alegre (UFCSPA), Av. Sarmento Leite, 245, Porto Alegre, RS, 90050-170, Brazil
| | - Luiz Carlos Rodrigues Junior
- Laboratory of Cellular and Molecular Immunology, Federal University of Health Sciences of Porto Alegre (UFCSPA), Av. Sarmento Leite, 245, Porto Alegre, RS, 90050-170, Brazil.
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