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Tissue tropisms, infection kinetics, histologic lesions, and antibody response of the MR766 strain of Zika virus in a murine model

Overview of attention for article published in Virology Journal, April 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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Title
Tissue tropisms, infection kinetics, histologic lesions, and antibody response of the MR766 strain of Zika virus in a murine model
Published in
Virology Journal, April 2017
DOI 10.1186/s12985-017-0749-x
Pubmed ID
Authors

Anna B. Kawiecki, E. Handly Mayton, M. Fausta Dutuze, Brad A. Goupil, Ingeborg M. Langohr, Fabio Del Piero, Rebecca C. Christofferson

Abstract

The appearance of severe Zika virus (ZIKV) disease in the most recent outbreak has prompted researchers to respond through the development of tools to quickly characterize transmission and pathology. We describe here another such tool, a mouse model of ZIKV infection and pathogenesis using the MR766 strain of virus that adds to the growing body of knowledge regarding ZIKV kinetics in small animal models. We infected mice with the MR766 strain of ZIKV to determine infection kinetics via serum viremia. We further evaluated infection-induced lesions via histopathology and visualized viral antigen via immunohistochemical labeling. We also investigated the antibody response of recovered animals to both the MR766 and a strain from the current outbreak (PRVABC59). We demonstrate that the IRF3/7 DKO mouse is a susceptible, mostly non-lethal model well suited for the study of infection kinetics, pathological progression, and antibody response. Infected mice presented lesions in tissues that have been associated with ZIKV infection in the human population, such as the eyes, male gonads, and central nervous system. In addition, we demonstrate that infection with the MR766 strain produces cross-neutralizing antibodies to the PRVABC59 strain of the Asian lineage. This model provides an additional tool for future studies into the transmission routes of ZIKV, as well as for the development of antivirals and other therapeutics, and should be included in the growing list of available tools for investigations of ZIKV infection and pathogenesis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Brazil 1 2%
Unknown 63 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 20%
Student > Bachelor 12 18%
Other 7 11%
Student > Master 7 11%
Student > Ph. D. Student 6 9%
Other 10 15%
Unknown 10 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 26%
Biochemistry, Genetics and Molecular Biology 9 14%
Medicine and Dentistry 8 12%
Veterinary Science and Veterinary Medicine 4 6%
Immunology and Microbiology 3 5%
Other 13 20%
Unknown 11 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 28 June 2023.
All research outputs
#4,907,015
of 24,326,994 outputs
Outputs from Virology Journal
#477
of 3,231 outputs
Outputs of similar age
#81,660
of 314,218 outputs
Outputs of similar age from Virology Journal
#5
of 50 outputs
Altmetric has tracked 24,326,994 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,231 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.1. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 314,218 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.