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Crosstalk between H9N2 avian influenza virus and crypt-derived intestinal organoids

Overview of attention for article published in Veterinary Research, November 2017
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Title
Crosstalk between H9N2 avian influenza virus and crypt-derived intestinal organoids
Published in
Veterinary Research, November 2017
DOI 10.1186/s13567-017-0478-6
Pubmed ID
Authors

Lulu Huang, Qihang Hou, Lulu Ye, Qian Yang, Qinghua Yu

Abstract

The spread of Avian influenza virus via animal feces makes the virus difficult to prevent, which causes great threat to human health. Therefore, it is imperative to understand the survival and invasion mechanism of H9N2 virus in the intestinal mucosa. In this study, we used mouse threedimensional intestinal organoids that contained intestinal crypts and villi differentiated from intestinal stem cells to explore interactions between H9N2 avian influenza virus and the intestinal mucosa. The HA, NA, NP and PB1 genes of H9N2 viruses could be detected in intestinal organoids at 1 h, and reached peak levels at 48 h post-infection. Moreover, the HA and NP proteins of H9N2 virus could also be detected in organoids via immunofluorescence. Virus invasion caused damage to intestinal organoids with reduced mRNA transcript expression of Wnt3, Dll1 and Dll4. The abnormal growth of intestinal organoids may be attributed to the loss of Paneth cells, as indicated by the low mRNA transcript levels of lyz1 and defcr1. This present study demonstrates that H9N2 virus could invade intestinal organoids and then cause damage, as well as affect intestinal stem cell proliferation and differentiation, promoting the loss of Paneth cells.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 28%
Student > Bachelor 4 14%
Other 1 3%
Lecturer 1 3%
Student > Master 1 3%
Other 3 10%
Unknown 11 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 24%
Biochemistry, Genetics and Molecular Biology 4 14%
Immunology and Microbiology 3 10%
Veterinary Science and Veterinary Medicine 2 7%
Engineering 1 3%
Other 0 0%
Unknown 12 41%