Influenza is an acute respiratory viral infection with high mutation rate and pandemic potential. Vaccination is an effective means of prevention and control of influenza, but the challenges of vaccine mismatches for the next influenza seasons and adequate global supply of influenza vaccines limit its effectiveness. Protective immunity in vaccination or natural infection is primarily mediated by antibody responses against surface proteins of influenza including haemagglutinin (HA) as the major neutralizing target, whereas strong T cell responses to internal viral proteins are associated with reduced disease severity. Recently, identification of broadly neutralizing antibodies against the conserved stem region of HA from influenza infected individuals has invigorated interest in development of a universal vaccine against different subtypes of influenza. Moreover, because of the cross-reactive nature of T cell recognition and more conserved internal antigens of influenza, strategies that boost memory T cell responses to these internal antigens may provide not only help for antibody-mediated protection but also limit the cell damage caused by viral infection directly. This is particularly important in acute infection with new pandemic viruses or antibody-escape variants where there are no pre-existing neutralizing antibodies. Here, we review the protective immune correlates against human influenza infection and discuss current status of universal influenza vaccine development.
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http://dx.doi.org/10.1016/j.coi.2013.07.005 | DOI Listing |
Clin Transl Med
February 2025
Division of Infectious Diseases, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Sci Rep
January 2025
Spobiotic Research Center, ANABIO R&D Ltd. Company, No. 22, Lot 7,8 Van Khe Urban, La Khe, Ha Dong, Hanoi, Vietnam.
Acute rhinosinusitis (ARS) in children may be accompanied by acute otitis media (AOM) which is often associated with bacterial co-infections. These conditions are among the primary reasons that children visit hospitals and require antibiotic treatment. This study evaluated the efficacy of the nasal-spraying probiotics (LiveSpo Navax containing 5 billion Bacillus subtilis and B.
View Article and Find Full Text PDFJ Public Health (Oxf)
January 2025
Center for Economic and Social Research, University of Southern California, 635 Downey Way, VPD, Los Angeles, CA 90089, USA.
Background: Democrats are more likely to be vaccinated for COVID-19 than Republicans. It is unknown if political polarization surrounding the COVID-19 vaccine has affected flu vaccine uptake. The purpose of this study is to examine the partisan differences in annual flu vaccine uptake before and after the COVID-19 pandemic.
View Article and Find Full Text PDFClin Microbiol Infect
January 2025
National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; New Cornerstone Science Laboratory; National Clinical Research Center for Respiratory Diseases; Department of Respiratory Medicine, Capital Medical University, Institute of Respiratory Medicine of Capital Medical University; Chinese Academy of Medical Sciences; Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China. Electronic address:
Objectives: To evaluate the therapeutic effect of suraxavir marboxil (GP681, abbreviated as suraxavir) in adults with uncomplicated influenza.
Methods: We conducted a multi-center randomized, double-blind, placebo-controlled phase 2 trial in 18 Chinese centers. Participants had to be aged 18-65 years with positive influenza test, presenting with at least one influenza systemic and respiratory symptoms in at least moderate severity within 48 hours of onset.
J Theor Biol
January 2025
School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, Shaan Xi, 710049, PR China. Electronic address:
There are evidence showing that meteorological factors, such as temperature and humidity, have critical effects on transmission of some infectious diseases, while quantifying the influence is challenging. In this study we develop a learning-explaining framework to discover the particular dependence of transmission mechanisms on meteorological factors based on multiple source data. The incidence rate based on the epidemic data and epidemic model is theoretically identified, and meanwhile the practical discovery of particular formula is feasible through deep neural networks (DNN), symbolic regression (SR) and sparse identification of nonlinear dynamics (SINDy).
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