scholarly journals Soluble Recombinant Hemagglutinin Protein of H1N1pdm09 Influenza Virus Elicits Cross-Protection Against a Lethal H5N1 Challenge in Mice

2019 ◽  
Vol 10 ◽  
Author(s):  
Shinya Yamada ◽  
Atsuhiro Yasuhara ◽  
Yoshihiro Kawaoka
2009 ◽  
Vol 31 (10) ◽  
pp. 1511-1517 ◽  
Author(s):  
Hongzhuan Wu ◽  
Kanzy Williams ◽  
Shree R. Singh ◽  
Karyn Scissum-Gunn ◽  
Narendra K. Singh ◽  
...  

2007 ◽  
Vol 146 (1-2) ◽  
pp. 293-297 ◽  
Author(s):  
Chi Y. Wang ◽  
Yu L. Luo ◽  
Yu T. Chen ◽  
Shu K. Li ◽  
Chi H. Lin ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Minjin Kim ◽  
Yucheol Cheong ◽  
Jinhee Lee ◽  
Jongkwan Lim ◽  
Sanguine Byun ◽  
...  

Influenza virus infections can cause a broad range of symptoms, form mild respiratory problems to severe and fatal complications. While influenza virus poses a global health threat, the frequent antigenic change often significantly compromises the protective efficacy of seasonal vaccines, further increasing the vulnerability to viral infection. Therefore, it is in great need to employ strategies for the development of universal influenza vaccines (UIVs) which can elicit broad protection against diverse influenza viruses. Using a mouse infection model, we examined the breadth of protection of the caspase-triggered live attenuated influenza vaccine (ctLAIV), which was self-attenuated by the host caspase-dependent cleavage of internal viral proteins. A single vaccination in mice induced a broad reactive antibody response against four different influenza viruses, H1 and rH5 (HA group 1) and H3 and rH7 subtypes (HA group 2). Notably, despite the lack of detectable neutralizing antibodies, the vaccination provided heterosubtypic protection against the lethal challenge with the viruses. Sterile protection was confirmed by the complete absence of viral titers in the lungs and nasal turbinates after the challenge. Antibody-dependent cellular cytotoxicity (ADCC) activities of non-neutralizing antibodies contributed to cross-protection. The cross-protection remained robust even after in vivo depletion of T cells or NK cells, reflecting the strength and breadth of the antibody-dependent effector function. The robust mucosal secretion of sIgA reflects an additional level of cross-protection. Our data show that the host-restricted designer vaccine serves an option for developing a UIV, providing pan-influenza A protection against both group 1 and 2 influenza viruses. The present results of potency and breadth of protection from wild type and reassortant viruses addressed in the mouse model by single immunization merits further confirmation and validation, preferably in clinically relevant ferret models with wild type challenges.


Viruses ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 1019
Author(s):  
Majid Forghani ◽  
Michael Khachay

Evaluation of the antigenic similarity degree between the strains of the influenza virus is highly important for vaccine production. The conventional method used to measure such a degree is related to performing the immunological assays of hemagglutinin inhibition. Namely, the antigenic distance between two strains is calculated on the basis of HI assays. Usually, such distances are visualized by using some kind of antigenic cartography method. The known drawback of the HI assay is that it is rather time-consuming and expensive. In this paper, we propose a novel approach for antigenic distance approximation based on deep learning in the feature spaces induced by hemagglutinin protein sequences and Convolutional Neural Networks (CNNs). To apply a CNN to compare the protein sequences, we utilize the encoding based on the physical and chemical characteristics of amino acids. By varying (hyper)parameters of the CNN architecture design, we find the most robust network. Further, we provide insight into the relationship between approximated antigenic distance and antigenicity by evaluating the network on the HI assay database for the H1N1 subtype. The results indicate that the best-trained network gives a high-precision approximation for the ground-truth antigenic distances, and can be used as a good exploratory tool in practical tasks.


Virology ◽  
2019 ◽  
Vol 535 ◽  
pp. 179-188 ◽  
Author(s):  
Ki-Hye Kim ◽  
Young-Tae Lee ◽  
Soojin Park ◽  
Yu-Jin Jung ◽  
Youri Lee ◽  
...  

PLoS ONE ◽  
2012 ◽  
Vol 7 (1) ◽  
pp. e30252 ◽  
Author(s):  
Penghui Yang ◽  
Yueqiang Duan ◽  
Peirui Zhang ◽  
Zhiwei Li ◽  
Cheng Wang ◽  
...  

2018 ◽  
Vol 61 (7) ◽  
pp. 836-843 ◽  
Author(s):  
Yongkun Chen ◽  
Tian Bai ◽  
Wenfei Zhu ◽  
Rongbao Gao ◽  
Zhihong Deng ◽  
...  

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