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Phylogenetic and epidemiological characteristics of H9N2 avian influenza viruses in Shandong Province, China from 2019 to 2021

ZHAO Yi-ran, ZHAO Yu-zhong, LIU Si-dang, XIAO Yi-hong, LI Ning, LIU Kui-hao, MENG Fan-liang, ZHAO Jun, LIU Meng-da, LI Bao-quan
2023, 22 (3): 881-896.   DOI: 10.1016/j.jia.2022.08.114
Abstract239)      PDF in ScienceDirect      

H9N2 avian influenza virus (AIV) has widely circulated in poultry worldwide and sporadic infections in humans and mammals.  During our surveillance of chicken from 2019 to 2021 in Shandong Province, China, we isolated 11 H9N2 AIVs.  Phylogenetic analyses showed that the eight gene segments of the 11 isolates were closely related to several sublineages of Eurasian lineage: BJ/94-like clades (HA and NA genes), G1-like clades (PB2 and M genes), and SH/F/98-like clades (PB1, PA, NP and NS genes).  The isolates showed mutation sites that preferentially bind to human-like receptors (HA) and mammalian fitness sites (PB2, PB1 and PA), as well as mutations in antigen and drug resistance sites.  Moreover, studies with mice revealed four isolates with varying levels of pathogenicity.  The average antibody titer of the H9N2 AIVs was 8.60 log2.  Based on our results, the epidemiological surveillance of H9N2 AIVs should be strengthened.

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Identification of an H1N1 subtype of swine influenza virus and serological analysis
SUN Fa-chao, TAN Min, ZHANG Yuan-chao, WANG Yu-chao, CAO Sheng-liang, DING Guo-fei, CONG Fang-yuan, GUO Li-hong, LIU Si-dang, XIAO Yi-hong
2019, 18 (7): 1436-1442.   DOI: 10.1016/S2095-3119(19)62579-7
Abstract229)      PDF in ScienceDirect      
To investigate the epizootic of swine influenza virus (SIV), 60 nasal swabs were collected from a clinical cases of pig farm in Tai’an City, Shandong Province of China in April 2017.  SIV was isolated by inoculating into 10-day-old Special Pathogen Free embryonated eggs and the whole genome was sequenced.  An H1N1 subtype SIV was isolated and designated as A/swine/Shandong/TA04/2017(H1N1).  Phylogenetic analysis showed that apart from the polymerase A (PA) fragment belonging to the 2009 pandemic H1N1 branch, seven genome segments belonged to avian-like H1N1 influenza virus lineage.  The cleavage site sequence of the hemagglutinin (HA) protein was PSIQSR↓G, which is a typical molecular biological characteristic.  Five potential N-glycosylation sites (N14, N26, N277, N484 and N543) were found in the HA gene.  To further investigate the epidemiology of SIV in this farm, the 995 serum samples were assessed with EAH1N1 2009 pandemic H1N1 and H3N2 antigens.  The results showed that the total positive rate was 65.43%.  The positive rates of single virus infection detected by EAH1N1, 2009pdmH1N1 and H3N2 for serum HI (Hemagglutination inhibition) were 48.35, 30.85 and 7.47%, respectively.  The results showed that SIV in Shandong Province has been reassorted in some segments and the SIV-positive rate was high on the SIV outbreak farm.  These data provide evidence of an epizootic of SIV.
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Study on Hsp90 Expression in Different Tissues and Its Antibody in Serum of Chickens Infected with Marek’s Diseases
LI Yu-bao, LI Juan, WANG Zhi-liang , LIU Si-dang
2014, 13 (6): 1355-1362.   DOI: 10.1016/S2095-3119(13)60514-6
Abstract1919)      PDF in ScienceDirect      
To investigate the dynamic change of heat shock protein 90 (Hsp90) in the genesis and development of tumor, we successfully established tumor animal model using Marek’s disease and then determined the location of Hsp90 in the tumor tissue using immunohistochemistry method, the antibody titer level of Hsp90 in the serum and the expression level in the tissue using enzymelinked immunosorbent assay (ELISA) method. Our result showed that Hsp90 location in the tumor tissue was significantly associated with the tumor cell and most in the cytoplasm of the tumor cell, and Hsp90 expression level in the tissue and the antibody titer level in the serum was most significantly increased with the development of tumor. This is the first report to show the presence of Hsp90 in tumor tissues induced by the Marek’s disease, with its expression correlated to the tumoral grading. These data may also be valuable for developing new molecular anti-cancer therapies.
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