Analysis of gene-expression profiles by oligonucleotide microarray in children with influenza

Kawada, Junji; Kimura, Hiroshi; Kamachi, Yusuke; Nishikawa, Kiyonobu; Taniguchi, Mariko; Nagaoka, Kayuri; Kurahashi, Hiroki; Kojima, Seiji; Morishima, Tsuneo

doi:10.1099/vir.0.81670-0

Cited by 41 publications

(32 citation statements)

References 33 publications

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“…Microarray Proteomics J Proteomics Bioinform ISSN:0974-276X JPB, an open access journal neurological complications [40]. Similar microarray based studies in ferrets showed that H5N1 infection induced severe disease that was associated with strong expression of interferon response genes including the interferon-γ-induced cytokine CXCL10.…”

Section: Study Of Host Cellular Responses To Influenza a Infection Ussupporting

confidence: 50%

Impact of Microarray Technology in Influenza Virus Research and Diagnostics

Mukherjee¹

2013

J Proteomics Bioinform

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Section: Study Of Host Cellular Responses To Influenza a Infection Ussupporting

confidence: 50%

Impact of Microarray Technology in Influenza Virus Research and Diagnostics

Mukherjee¹

2013

J Proteomics Bioinform

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“…One potential explanation of the difference between evolution and adjustment rates is that highly expressed influenza genes adjust rapidly since the virus highjacks the host translation machinery. However, while a number of studies have examined expression patterns of hosts genes [36], very little is known about expression patterns of viral genes during the course of an infection. Further research in viral transcriptomics is therefore warranted.…”

Section: Resultsmentioning

confidence: 99%

Phylodynamics of the Emergence of Influenza Viruses after Cross-Species Transmission

Rahnama

Aris‐Brosou²

2013

PLoS ONE

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Human populations are constantly exposed to emerging pathogens such as influenza A viruses that result from cross-species transmissions. Generally these sporadic events are evolutionary dead-ends, but occasionally, viruses establish themselves in a new host that offers a novel genomic context to which the virus must adjust to avoid attenuation. However, the dynamics of this process are unknown. Here we present a novel method to characterize the time it takes to G+C composition at third codon positions (GC3 content) of influenza viruses to adjust to that of a new host. We compare the inferred dynamics in two subtypes, H1N1 and H3N2, based on complete genomes of viruses circulating in humans, swine and birds between 1900–2009. Our results suggest that both subtypes have the same fast-adjusting genes, which are not necessarily those with the highest absolute rates of evolution, but those with the most relaxed selective pressures. Our analyses reveal that NA and NS2 genes adjust the fastest to a new host and that selective pressures of H3N2 viruses are relaxed faster than for H1N1. The asymmetric nature of these processes suggests that viruses with the greatest adjustment potential to humans are coming from both birds and swine for H3N2, but only from birds for H1N1.

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“…69). Notably, as the majority of adults are herpesvirus carriers, it is conceivable that following periods of viral latency subsequent activation and replication of the virus, triggered by periods of immunosuppression, stress, trauma, or indeed other common viral infections known to raise IFN-␣ levels such as influenza (70), disease activity may be initiated in periodontitis-susceptible individuals.…”

Section: Discussionmentioning

confidence: 99%

Periodontitis Associates with a Type 1 IFN Signature in Peripheral Blood Neutrophils

Wright

Matthews

Chapple

et al. 2008

The Journal of Immunology

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Peripheral blood neutrophils from periodontitis patients exhibit a hyperreactive and hyperactive phenotype (collectively termed hyperresponsivity) in terms of production of reactive oxygen species (ROS). The molecular basis for this phenomenon, however, has yet to be determined. Our objectives were to identify genes differentially expressed in hyperresponsive peripheral blood neutrophils from chronic periodontitis patients relative to periodontally healthy controls and use these data to identify potential contributory pathways to the hyperresponsive neutrophil phenotype. Using microarray technology we demonstrated differential expression of 163 genes (149 increased, 14 decreased) representing a range of ontological classes. There was increased expression of a significant number of IFN-stimulated genes (ISG). RT-PCR analysis of ISG transcripts in individual and pooled samples further corroborated these data, and indicated that levels decreased to near those of controls following successful therapy. Significantly enhanced FcγR-stimulated ROS production was subsequently achieved by priming control neutrophils with IFN-α/-β/-γ, but not LPS, and gene expression analysis indicated that exposure to the type I IFN (in particular IFN-α) better replicated the mRNA profile observed in vivo. Further studies demonstrated that plasma levels of IFN-α were significantly higher in samples from patients relative to unaffected controls. Following successful periodontitis treatment, plasma IFN-α levels, neutrophil ISG expression, and FcγR-stimulated neutrophil ROS output of patients, all decreased to levels comparable with those of controls. In conclusion, although chronic periodontitis is a complex disease, raised IFN-α may be one determinant of the distinct molecular phenotype and hyperresponsivity exhibited by patients’ peripheral blood neutrophils.

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Analysis of gene-expression profiles by oligonucleotide microarray in children with influenza

Cited by 41 publications

References 33 publications

Impact of Microarray Technology in Influenza Virus Research and Diagnostics

Impact of Microarray Technology in Influenza Virus Research and Diagnostics

Phylodynamics of the Emergence of Influenza Viruses after Cross-Species Transmission

Periodontitis Associates with a Type 1 IFN Signature in Peripheral Blood Neutrophils

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