We have demonstrated the influence of cerium dioxide nanoparticles on the immunogenicity of the influenza vaccine on an example of liquid split inactivated Vaxigrip vaccine. Antibody titers were analyzed using the hemagglutination inhibition (HI) assay. Seroprotection, seroconversion, the geometric mean titers (GMTs) and the factor increase (FI) in the GMTs were calculated. The effect of nano-ceria surface stabilizer on the enhancement of immunogenicity was shown. The vaccine modified by citrate-stabilized nano-ceria, in contrast to a non-modified Vaxigrip vaccine, did not provide an adequate level of seroprotection, and seroconversion after vaccination was 66.7% on days 49-63 for virus strain А(H1N1) and 100% on day 49 for virus strain B/Yamagata. For the low immunogenic influenza B virus, the rise in antibody titers (GMT/IF) was 24.38/3.28 after the first injection and 50.40/6.79 on day 49. For the vaccine modified by non-stabilized nano-ceria, for all virus strains under study, on day 63, upon immunization notable levels of seroprotection, seroconversion and GMT/IF were registered (higher than for the non-modified Vaxigrip vaccine). The successful attempt to modify the influenza vaccine demonstrates the possible ways of increasing the specific activity of vaccines using nano-ceria.
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http://dx.doi.org/10.1016/j.antiviral.2015.12.013 | DOI Listing |
Vaccine
January 2025
Center for Biologics Evaluation and Research, US Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD 20993, USA. Electronic address:
Unlabelled: Neuraminidase (NA)-specific antibodies contribute to immunity against influenza. While studies have demonstrated increased NA inhibiting (NAI) antibody titers after vaccination with egg-derived inactivated influenza vaccines (eIIV), the response to cell culture-derived (c) IIV has not been reported.
Methods: An immunogenicity sub-study was performed within a clinical trial comparing the effectiveness of egg, cell, and recombinant hemagglutinin (HA)-derived influenza vaccines during the 2018-2019 and 2019-2020 influenza seasons.
Vaccine
January 2025
Maternité Port-Royal, Groupe hospitalier Paris Centre, AP-HP, FHU Prema, 75014 Paris, France; Université Paris Cité, Paris, France; INSERM UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé), Center for Epidemiology and Statistics, Université de Paris-Cité, Paris, France.
Background: Despite French national recommendations since 2012 that all pregnant women be vaccinated against influenza, in 2021 this vaccine coverage is low - around 30 % - in France.
Objectives: To identify barriers to influenza vaccination during pregnancy by assessing how often women were offered this vaccination and how often they accepted it.
Study Design: We used data from the French national perinatal survey (ENP), which covered all births during one week in March 2021 (N = 12,614).
Cell Rep
January 2025
Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA. Electronic address:
Virus neutralization profiles against primary infection sera and corresponding antigenic cartography are integral part of the COVID-19 and influenza vaccine strain selection processes. Human single variant exposure sera have previously defined the antigenic relationships among SARS-CoV-2 variants but are now largely unavailable due to widespread population immunity. Therefore, antigenic characterization of future SARS-CoV-2 variants will require an animal model, analogous to using ferrets for influenza virus.
View Article and Find Full Text PDFTalanta
December 2024
State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China. Electronic address:
Significant efforts were currently being made worldwide to develop a tool capable of distinguishing between various harmful viruses through simple analysis. In this study, we utilized fluorescence excitation-emission matrix (EEM) spectroscopy as a rapid and specific tool with high sensitivity, employing a straightforward methodological approach to identify spectral differences between samples of respiratory infection viruses. To achieve this goal, the fluorescence EEM spectral data from eight virus samples was divided into training and test sets, which were then analyzed using random forest and support vector machine classification models.
View Article and Find Full Text PDFVaccine
January 2025
Health and Biotechnology (SaBio), Instituto de Investigación en Recursos Cinegéticos, IREC (CSIC, UCLM, JCCM), Ronda de Toledo 12, 13005 Ciudad Real, Spain.; Center for Veterinary Health Sciences, Department of Veterinary Pathobiology, Oklahoma State University, Stillwater, OK, USA.
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