Literature DB >> 22312897

[Genetic variability of isolates of pandemic influenza A virus H1N1 isolated in Russia in 2009].

A N Shikov, A O Sementsova, O K Demina, A A Sergeev, S A Berillo, E I Sergeeva, A V Vinokurova, A V Ishenina, V A Ternovoĭ, A P Agafonov, I G Drozdov.   

Abstract

Complete nucleotide sequence of the genome segments encoding the surface glycoproteins, hemagglutinin, and neuraminidase of influenza A virus H1N1 derived from the patients with influenza in the context of pandemic (H1N1) 2009 was determined out of 14 isolates of pandemic influenza. The philogenetic analysis of these sequences demonstrated their genetic similarity to the corresponding genes of the pandemic influenza virus A (H1N1) 2009 isolates obtained in other countries; each gene homology was greater than 99%. Neuraminidase mutations causing virus resistance to oseltamivir and other neuraminidase inhibitors, known from the literature, were not detected. The hemagglutinin gene mutation D222G was found in 4 isolates from autopsy material. In the hemagglutinin of pandemic A/Salekhard/01/2009(H1N1) isolate a mutation G155E leading to the increase in viral replication in developing chick embryos was detected. The nature and frequency of nucleotides substitutions within HA and NA genes were determined in the current research.

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Year:  2011        PMID: 22312897

Source DB:  PubMed          Journal:  Mol Gen Mikrobiol Virusol        ISSN: 0208-0613


  2 in total

1.  Clinical differences between influenza A (H1N1) virus and respiratory infection between the two waves in 2009 and 2010.

Authors:  Paul Zarogoulidis; Dimitrios Glaros; Ioannis Kioumis; Eirini Terzi; Konstantinos Porpodis; Anastasios Tsiotsios; Anastasios Kallianos; Georgia Trakada; Nikolaos Machairiotis; Aikaterini Stylianaki; Antonis Sakas; Ageliki Rapti; Nikolaos Courcoutsakis; Theodoros C Constantinidis; Efstartios Maltezos; Konstantinos Zarogoulidis
Journal:  Int J Gen Med       Date:  2012-08-13

2.  Clinical differences between H3N2 and H1N1 influenza 2012 and lower respiratory tract infection found using a statistical classification approach.

Authors:  Dimitris Petridis; Paul Zarogoulidis; Anastasios Kallianos; Ioannis Kioumis; Georgia Trakada; Dionysios Spyratos; Antonis Papaiwannou; Konstantinos Porpodis; Haidong Huang; Aggeliki Rapti; Wolfgang Hohenforst-Schmidt; Konstantinos Zarogoulidis
Journal:  Ther Clin Risk Manag       Date:  2014-02-07       Impact factor: 2.423

  2 in total

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