scholarly journals Comparative analysis of influenza A(H3N2) virus hemagglutinin specific IgG subclass and IgA responses in children and adults after influenza vaccination

Vaccine ◽  
2017 ◽  
Vol 35 (1) ◽  
pp. 191-198 ◽  
Author(s):  
Alessandro Manenti ◽  
Sarah M. Tete ◽  
Kristin G.-I. Mohn ◽  
Åsne Jul-Larsen ◽  
Elena Gianchecchi ◽  
...  
Vaccine ◽  
2017 ◽  
Vol 35 (42) ◽  
pp. 5666-5673 ◽  
Author(s):  
Shahinul Islam ◽  
Kristin Greve-Isdahl Mohn ◽  
Florian Krammer ◽  
Mari Sanne ◽  
Geir Bredholt ◽  
...  

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S35-S35
Author(s):  
Joanna Kimball ◽  
Yuwei Zhu ◽  
Dayna Wyatt ◽  
Helen Talbot

Abstract Background Despite influenza vaccination, some patients develop illness and require hospitalization. Many factors contribute to vaccine failure, including mismatch of the vaccine and circulating strains, waning immunity, timing of influenza season, age and patient comorbidities such as immune function. This study compared vaccinated, hospitalized patients with and without influenza. Methods This study used 2015–2019 Tennessee data from the US Hospitalized Adult Influenza Vaccine Effectiveness Network database. Enrolled patients were ≥ 18 years vaccinated for the current influenza season and admitted with an acute respiratory illness. Patient or surrogate interviews and medical chart abstractions were performed, and influenza vaccinations were confirmed by vaccine providers. Influenza PCR testing was performed in a research lab. Statistical analyses were performed with STATA and R using Pearson’s chi-squared, Kruskal-Wallis and Wilcoxon rank-sum tests and multivariate logistic regression. Results 1236 patients met study criteria, and 235 (19%) tested positive for influenza. Demographics, vaccines and comorbidities were similar between the two groups (Table 1) except for morbid obesity, which was more common in influenza negative patients (13% vs 8%, p = 0.04), and immunosuppression, which was more common in the influenza positive (63% vs 54%, p = 0.01). Logistic regression analysis demonstrated older patients (OR 1.47, 95% CI 1.03–2.10) and immunosuppressed patients (OR 1.56, 1.15–2.12) were at increased risk for influenza (Table 2 and Figure 1). Immunosuppression also increased the risk for influenza A/H3N2 (OR 1.86, 95% CI 1.25–2.75). A sensitivity analysis was performed on patients who self-reported influenza vaccination for the current season without vaccine verification and demonstrated increased risk of influenza in older adults (OR 1.66, 95% CI 1.16–2.39). Table 1: Demographics of influenza positive versus influenza negative patients in influenza vaccinated, hospitalized patients. Table 2: Logistic regression analyses of vaccinated, hospitalized influenza positive patients; vaccinated, hospitalized patients with influenza A subtypes and self-reported vaccinated, hospitalized influenza positive patients. Figure 1: Predicted Probability of Hospitalization with Influenza, Influenza A/H1N1 and Influenza A/H3N2 in Vaccinated Patients by Age. Conclusion Our study demonstrated an increased risk of influenza vaccine failure in older patients and immunosuppressed patients. These groups are also at increased risk for influenza complications. To improve protection of these patients against future influenza illnesses, more effective vaccines are needed, and more research on ring vaccination should be pursued. Disclosures All Authors: No reported disclosures


npj Vaccines ◽  
2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Marion Borey ◽  
Fany Blanc ◽  
Gaëtan Lemonnier ◽  
Jean-Jacques Leplat ◽  
Deborah Jardet ◽  
...  

AbstractThis study describes the associations between fecal microbiota and vaccine response variability in pigs, using 98 piglets vaccinated against the influenza A virus at 28 days of age (D28) with a booster at D49. Immune response to the vaccine is measured at D49, D56, D63, and D146 by serum levels of IAV-specific IgG and assays of hemagglutination inhibition (HAI). Analysis of the pre-vaccination microbiota characterized by 16S rRNA gene sequencing of fecal DNA reveals a higher vaccine response in piglets with a richer microbiota, and shows that 23 operational taxonomic units (OTUs) are differentially abundant between high and low IAV-specific IgG producers at D63. A stronger immune response is linked with OTUs assigned to the genus Prevotella and family Muribaculaceae, and a weaker response is linked with OTUs assigned to the genera Helicobacter and Escherichia-Shigella. A set of 81 OTUs accurately predicts IAV-specific IgG and HAI titer levels at all time points, highlighting early and late associations between pre-vaccination fecal microbiota composition and immune response to the vaccine.


2010 ◽  
Vol 48 (4) ◽  
pp. 231-233 ◽  
Author(s):  
Martin C.W. Chan ◽  
Nelson Lee ◽  
Rity Y.K. Wong ◽  
Wing-Shan Ho ◽  
Joseph J.Y. Sung

PLoS ONE ◽  
2009 ◽  
Vol 4 (5) ◽  
pp. e5538 ◽  
Author(s):  
Rogier Bodewes ◽  
Joost H. C. M. Kreijtz ◽  
Chantal Baas ◽  
Martina M. Geelhoed-Mieras ◽  
Gerrie de Mutsert ◽  
...  

2003 ◽  
Vol 130 (2) ◽  
pp. 263-271 ◽  
Author(s):  
J. M. L. BROTHERTON ◽  
V. C. DELPECH ◽  
G. L. GILBERT ◽  
S. HATZI ◽  
P. D. PARASKEVOPOULOS ◽  
...  

In September 2000 an outbreak of influenza-like illness was reported on a cruise ship sailing between Sydney and Noumea with over 1100 passengers and 400 crew on board. Laboratory testing of passengers and crew indicated that both influenza A and B had been circulating on the ship. The cruise coincided with the peak influenza period in Sydney. Morbidity was high with 40 passengers hospitalized, two of whom died. A questionnaire was sent to passengers 3 weeks after the cruise and 836 of 1119 (75%) responded. A total of 310 passengers (37%) reported suffering from an influenza-like illness (defined as cough, fever, myalgia and weakness) and 528 (63%) had seen a doctor for illness related to the cruise. One-third of passengers reported receipt of influenza vaccination in 2000; however neither their rates of influenza-like illness nor hospitalization were significantly different from those in unvaccinated passengers. A case–control study also found no significant protective effect of influenza vaccination. With the increasing popularity of cruise vacations, such outbreaks are likely to affect increasing numbers of people. Whilst influenza vaccination of passengers and crew may afford some protection, uptake and effectiveness may not be sufficient to prevent outbreaks. Surveillance systems and early intervention measures, such as antiviral therapies, should be considered to detect and control such outbreaks.


1994 ◽  
Vol 40 (4) ◽  
pp. 261-269 ◽  
Author(s):  
E. T. S. Ben-Ahmeida ◽  
C. W. Potter ◽  
G. Gregoriadis ◽  
C. Adithan ◽  
R. Jennings
Keyword(s):  

1979 ◽  
Vol 9 (6) ◽  
pp. 688-692
Author(s):  
J A Daisy ◽  
F S Lief ◽  
H M Friedman

The efficacy for direct immunofluorescence of a commercial conjugate for influenza A virus prepared against whole A/Udorn (H3NS) virus was studied. The conjugate was specific for influenza A virus, but its sensitivity varied depending upon the strain of influenza A tested. Nasopharyngeal aspirates collected from 25 patients during an outbreak of influenza were examined for viral antigen with the conjugates and inoculated onto monkey kidney (MK) cells for virus isolation. Fifteen patients had isolates for influenza A/USSR/90/77 (H1N1); nasopharyngeal secretions were fluorescent antibody positive in 12. Fluorescent antibody was copositive with culture in 11/15 patients (73.3%) and conegative in 9/10 (90%). The one fluorescent antibody-positive, culture-negative patient had negative serology for influenza A and the fluorescent antibody result was considered to be a false positive. At a 1:10 dilution, the conjugate stained nasopharyngeal and MK cells infected with A/USSR (H1N1) 2 to 3+, whereas cells infected with H3N2 virus stained 4+. A conjugate made specifically against the ribonucleoprotein antigen, which is universal to all influenza A strains, may improve the sensitivity of the direct immunofluorescent test.


2019 ◽  
Vol 228 ◽  
pp. 26-31 ◽  
Author(s):  
Zhao Wang ◽  
Jieshi Yu ◽  
Milton Thomas ◽  
Chithra C. Sreenivasan ◽  
Ben M. Hause ◽  
...  

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