influenza-2016_posters-accepted-abstracts

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Volume 4, Issue 6(Suppl) J Infect Dis Ther
ISSN: 2332-0877 JIDT, an open access journal
Page 69
Influenza 2016
September 12-13, 2016
conferenceseries.com
Influenza
September 12-13, 2016 Berlin, Germany
2nd International Conference on
J Infect Dis Ther 2016, 4:6(Suppl)
Molecular characterization of influenza viruses circulating in Cuba April 2009 to August 2010
Mayra Mune, Alexander Pinon, Amely Arencibia, Belsy Acosta, Odalys Valdes, Susett Oropesa, Guelsys Gonzalez and Rosmery Roque
Pedro Kouri Institute of Tropical Medicine, Cuba
Influenza is a respiratory disease with high epidemic behavior; the main etiologic agents are influenza viruses A and B. The virus
influenza A are primarily responsible for annual epidemics and the only causing pandemics. Fighting these viral agents is based
mainly in the use of vaccines and drugs that inhibit viral proteins M2 and NA. Currently, the use of antiviral drugs has been limited
by the emergency and circulation of influenza virus variants resistant to adamantane worldwide. The neuraminidase inhibitors have
been the drug of choice available for the treatment and prophylaxis of influenza virus before the availability of influenza vaccine. The
aim of this work was the molecular characterization of influenza virus circulating in Cuba in the period April 2009-August 2010.
Phylogenetic analysis of seasonal influenza viruses and pandemic virus showed that both viruses were genetically similar to the
strains included in the vaccine recommended by ‘WHO’. Molecular characterization of these agents circulating in Cuba showed the
necessity of systematic monitoring of these Cuban genetic variants. In the present work we identified genetic variants of influenza A
resistant to oseltamivir. It was detected for the first time in Cuba the circulation of influenza A (H1N1) viruses with resistant markers
to the antiviral drugs available.
Epidemiologic pattern and diseasome exploration for physical performance: A new horizon for genetic
and environmental cross-talk in health and disease
Mohammad Reza Hashempour1, 2 , A R Khoshdel1, K Majidzadeh1 and M S Baniaghil3
1Aja University of Medical Sciences, Iran
2Golestan University of Medical Sciences, Iran
3Shahid Beheshti University of Medical Sciences, Iran
Both genetic and environmental factors contribute to human diseases. Most common diseases are influenced by a large number
of genetic and environmental factors, most of which individually have only a modest effect on the disease. Though genetic
contributions are relatively well characterized for some monogenetic diseases, there has been no effort at curating the extensive list of
environmental etiological factors. However, considering the interaction between the factors, a network of association and clustering
would explain the influencing factors on health and disease. In this study we evaluated association of factors on physical performance.
From a comprehensive search of the MeSH annotation of MEDLINE articles, NIH Genetic Association Database (GAD) and OMIM
database, genetic and environmental etiological factors associated with physical performance were identified. Clustering of both
genetic and environmental etiological factors puts genes in the context of environment in a quantitative manner. After extraction
of genetic factors, associated diseases with those genes were searched. Finally a matrix of association was formed. The degree of
associations was determined by pooling the published data and the network of “etiome” was constructed by Gephi. A 22 by 22 gene-
gene interaction showed ACE gene with the highest centrality. Also 600 cells gene-disease matrix were illustrated including the degree
of associations and 95% CIs. The diseasome of physical performance demonstrated interesting clusters of diseases and risk factors
with an average degree of 7.4 and average clustering coefficient of 0.60. The network principally included two main clusters around
diabetes and neoplastic diseases, while diabetes had the highest strength and centrality. The diseasome helps a better understanding of
genetic and environmental factors attributed to physical performance in order to find effective treatments for linked factors. Diabetes
and ACE gene polymorphism should take a paramount attention in this regard.