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Systems-based approach to examine the cytokine responses in primary mouse lung macrophages infected with low pathogenic avian Influenza virus circulating in South East Asia

Overview of attention for article published in BMC Genomics, May 2017
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Title
Systems-based approach to examine the cytokine responses in primary mouse lung macrophages infected with low pathogenic avian Influenza virus circulating in South East Asia
Published in
BMC Genomics, May 2017
DOI 10.1186/s12864-017-3803-6
Pubmed ID
Authors

Biruhalem Taye, Hui Chen, Myint Zu Myaing, Boon Huan Tan, Sebastian Maurer-Stroh, Richard J. Sugrue

Abstract

Influenza A virus (IAV) is a major public health concern, being responsible for the death of approximately half a million people each year. Zoonotic transmissions of the virus from swine and avian origin have occurred in the past, and can potentially lead to the emgergence of new IAV stains in future pandemics. Pulmonary macrophages have been implicated in disease severity in the lower airway, and understanding the host response of macrophages infected with avian influenza viruses should provide new therapeutic strategies. We used a systems-based approach to investigate the transcriptome response of primary murine lung macrophages (PMФ) infected with the mouse-adapted H1N1/WSN virus and low pathogenic avian influenza (LPAI) viruses H5N2 and H5N3. The results showed that the LPAI viruses H5N2 and H5N3 can infect PMФ with similar efficiency to the H1N1/WSN virus. While all viruses induced antiviral responses, the H5N3 virus infection resulted in higher expression levels of cytokines and chemokines associated with inflammatory responses. The LPAI H5N2 and H5N3 viruses are able to infect murine lung macrophages. However, the H5N3 virus was associated with increased expression of pro-inflammatory mediators. Although the H5N3 virus it is capable of inducing high levels of cytokines that are associated with inflammation, this property is distinct from its inability to efficiently replicate in a mammalian host.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 18%
Researcher 4 18%
Student > Bachelor 2 9%
Student > Ph. D. Student 2 9%
Other 1 5%
Other 3 14%
Unknown 6 27%
Readers by discipline Count As %
Medicine and Dentistry 6 27%
Agricultural and Biological Sciences 3 14%
Engineering 2 9%
Biochemistry, Genetics and Molecular Biology 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 2 9%
Unknown 7 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 January 2018.
All research outputs
#18,552,700
of 22,977,819 outputs
Outputs from BMC Genomics
#8,219
of 10,686 outputs
Outputs of similar age
#241,115
of 316,100 outputs
Outputs of similar age from BMC Genomics
#176
of 217 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,686 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 217 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.