A One-Step RT-PCR Array for Detection and Differentiation of Zoonotic Influenza Viruses H5N1, H9N2, and H1N1

Yao, Chen; Liu, Tiancai; LiJuan, Cai; Du, Hongwu; Li, Ming

doi:10.1002/jcla.21627

Cited by 5 publications

(2 citation statements)

References 39 publications

(67 reference statements)

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“…Currently emerging and re-emerging infectious diseases of zoonotic origin such as highly pathogenic avian influenza A pose a significant threat to human and animal health due to their elevated transmissibility [1,2]. Predicting the spread of these viruses is challenging because many of the drivers of disease are not easily identifiable.…”

Section: Introductionmentioning

confidence: 99%

Combining phylogeography and spatial epidemiology to uncover predictors of H5N1 influenza A virus diffusion

et al. 2014

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Emerging and re-emerging infectious diseases of zoonotic origin like highly pathogenic avian influenza pose a significant threat to human and animal health due to their elevated transmissibility. Identifying the drivers of such viruses is challenging and complicates the estimation of spatial diffusion because the variability of viral spread from locations could be caused by a complex array of unknown factors. Several techniques exist to help identify these drivers including bioinformatics, phylogeography, and spatial epidemiology but these methods are generally evaluated separately and do not consider the complementary nature of each other. Here we studied an approach that integrates these techniques and identifies the most important drivers of viral spread by focusing on H5N1 in Egypt because of its recent emergence as an epicenter for the disease. We used a Bayesian phylogeographic generalized linear model (GLM) to reconstruct spatiotemporal patterns of viral diffusion while simultaneously assessing the impact of factors contributing to transmission. We also calculated the cross-species transmission rates among hosts in order to identify the species driving transmission. Density of both human and avian species were supported contributors along with latitude, longitude, elevation, and several meteorological variables. Also supported was the presence of a genetic motif found near the hemagglutinin cleavage site. Various genetic, geographic, demographic, and environmental predictors each play a role in H1N1 diffusion. Further development and expansion of phylogeographic GLMs such as this will enable health agencies to identify variables that can curb virus diffusion and reduce morbidity and mortality.

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Section: Introductionmentioning

confidence: 99%

Combining phylogeography and spatial epidemiology to uncover predictors of H5N1 influenza A virus diffusion

et al. 2014

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“…Therefore, early and sensitive detection of the influenza A virus is important to control the outbreaks. To date, different methods have been developed for detecting influenza A viruses such as virus culture [4][5][6], loop-mediated isothermal amplification (LAMP) [7][8][9], polymerase chain reaction (PCR) methods [10][11][12], enzyme linked immunosorbent assay (ELISA) [13][14][15] and microarray technology [16][17][18]. However, they are labor intensive, have complex sample pretreatment, low sensitivity, high cost and require appropriate laboratory facilities and well-trained technicians.…”

Section: Introductionmentioning

confidence: 99%

Functionalized magnetic microparticle-based colorimetric platform for influenza A virus detection

et al. 2016

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A colorimetric platform for influenza A virus detection was developed by using the high efficiency of enzymatic catalysis and the reduction of gold ions with hydrogen peroxide. Aptamer-functionalized magnetic microparticles were synthesized to capture the influenza A virus. This was followed by the binding of ConA-GOx-AuNPs to the H3N2 virus through the ConA-glycan interaction. The sandwich complex was subsequently dispersed in glucose solution to trigger an enzymatic reaction to produce hydrogen peroxide, which controlled the growth of gold nanoparticles and produced colored solutions. The determination of H3N2 concentration was realized by comparing the two differently colored gold nanoparticles. This method could detect the target virus as low as 11.16 μg ml(-1). Furthermore, it opens new opportunities for sensitive and colorimetric detection of viruses and proteins.

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Detection and typing of human-infecting influenza viruses in China by using a multiplex DNA biochip assay

Wang

et al. 2016

Journal of Virological Methods

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A One-Step RT-PCR Array for Detection and Differentiation of Zoonotic Influenza Viruses H5N1, H9N2, and H1N1

Cited by 5 publications

References 39 publications

Combining phylogeography and spatial epidemiology to uncover predictors of H5N1 influenza A virus diffusion

Combining phylogeography and spatial epidemiology to uncover predictors of H5N1 influenza A virus diffusion

Functionalized magnetic microparticle-based colorimetric platform for influenza A virus detection

Detection and typing of human-infecting influenza viruses in China by using a multiplex DNA biochip assay

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