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Development of a Zika Virus Infection Model in Cynomolgus Macaques

Overview of attention for article published in Frontiers in Microbiology, December 2016
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Title
Development of a Zika Virus Infection Model in Cynomolgus Macaques
Published in
Frontiers in Microbiology, December 2016
DOI 10.3389/fmicb.2016.02028
Pubmed ID
Authors

Fusataka Koide, Scott Goebel, Beth Snyder, Kevin B. Walters, Alison Gast, Kimberly Hagelin, Raj Kalkeri, Jonathan Rayner

Abstract

Limited availability of Indian rhesus macaques (IRM) is a bottleneck to study Zika virus (ZIKV) pathogenesis and evaluation of appropriate control measures in non-human primates. To address these issues, we report here the Mauritian cynomolgus macaque (MCM) model for ZIKV infection. In brief, six MCMs (seronegative for Dengue and ZIKV) were subdivided into three cohorts with a male and female each and challenged with different doses of Asian [PRVABC59 (Puerto Rico) or FSS13025 (Cambodia)] or African (IBH30656) lineage ZIKV isolates. Clinical signs were monitored; and biological fluids (serum, saliva, and urine) and tissues (testes and brain) were assessed for viral load by quantitative reverse transcription polymerase chain reaction and neutralizing antibodies (Nab) by 50% Plaque Reduction Neutralization Test (PRNT50) at various times post-infection (p.i). PRVABC59 induced viremia detectable up to day 10, with peak viral load at 2-3 days p.i. An intermittent viremia spike was observed on day 30 with titers reaching 2.5 × 10(3) genomes/mL. Moderate viral load was observed in testes, urine and saliva. In contrast, FSS13025 induced viremia lasting only up to 6 days and detectable viral loads in testes but not in urine and saliva. Recurrent viremia was detected but at lower titers compare to PRVABC59. Challenge with either PRVABC59 or FSS13025 resulted in 100% seroconversion; with mean PRNT50 titers ranging from 597 to 5179. IBH30656 failed to establish infection in MCM suggesting that MCM are susceptible to infection with ZIKV isolates of the Asian lineage but not from Africa. Due to the similarity of biphasic viremia and Nab responses between MCM and IRM models, MCM could be a suitable alternative for evaluation of ZIKV vaccine and therapeutic candidates.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 109 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 15%
Student > Bachelor 17 15%
Student > Ph. D. Student 16 15%
Student > Master 16 15%
Student > Doctoral Student 7 6%
Other 18 16%
Unknown 19 17%
Readers by discipline Count As %
Immunology and Microbiology 17 15%
Biochemistry, Genetics and Molecular Biology 16 15%
Agricultural and Biological Sciences 16 15%
Medicine and Dentistry 15 14%
Veterinary Science and Veterinary Medicine 6 5%
Other 20 18%
Unknown 20 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 March 2017.
All research outputs
#15,159,941
of 24,074,720 outputs
Outputs from Frontiers in Microbiology
#13,639
of 27,078 outputs
Outputs of similar age
#237,441
of 427,938 outputs
Outputs of similar age from Frontiers in Microbiology
#256
of 400 outputs
Altmetric has tracked 24,074,720 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 27,078 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 427,938 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 400 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.