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Imaging of viral neuroinvasion in the zebrafish reveals that Sindbis and chikungunya viruses favour different entry routes

Overview of attention for article published in Disease Models and Mechanisms, January 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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9 X users
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1 patent
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1 Facebook page

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Title
Imaging of viral neuroinvasion in the zebrafish reveals that Sindbis and chikungunya viruses favour different entry routes
Published in
Disease Models and Mechanisms, January 2017
DOI 10.1242/dmm.029231
Pubmed ID
Authors

Gabriella Passoni, Christelle Langevin, Nuno Palha, Bryan C. Mounce, Valérie Briolat, Pierre Affaticati, Elodie De Job, Jean-Stéphane Joly, Marco Vignuzzi, Maria-Carla Saleh, Philippe Herbomel, Pierre Boudinot, Jean-Pierre Levraud

Abstract

Alphaviruses, such as chikungunya (CHIKV) and Sindbis virus (SINV), are vector‑borne pathogens that cause acute illnesses in humans and are sometimes associated with neuropathies, especially in infants and elderly patients. Little is known about their entry mechanism in the central nervous system (CNS), even for SINV, which has been used extensively as a model for viral encephalopathies. We previously established a CHIKV infection model in the optically transparent zebrafish larva; here we describe a new SINV infection model in this host. We imaged in vivo the onset and the progression of the infection caused by intravenous SINV inoculation. Similar to that described for CHIKV, infection in the periphery was detected early and was transient, while CNS infection started at later time points and was persistent or progressive. We then tested the possible mechanisms of neuroinvasion by CHIKV and SINV. Neither virus relied on macrophage-mediated transport to access the CNS. CHIKV, but not SINV, always infects endothelial cells of the brain vasculature. By contrast, axonal transport was much more efficient with SINV than CHIKV, both from periphery to the CNS or between neural tissues. Thus, the preferred mechanisms of neuroinvasion by these two related viruses are distinct, providing a powerful imaging-friendly system to compare mechanisms and prevention methods of encephalopathies.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 106 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 15%
Researcher 16 15%
Student > Master 13 12%
Student > Bachelor 8 7%
Student > Doctoral Student 7 7%
Other 25 23%
Unknown 22 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 24%
Biochemistry, Genetics and Molecular Biology 24 22%
Immunology and Microbiology 10 9%
Unspecified 6 6%
Neuroscience 5 5%
Other 12 11%
Unknown 24 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 30 March 2023.
All research outputs
#3,587,264
of 25,382,440 outputs
Outputs from Disease Models and Mechanisms
#510
of 1,922 outputs
Outputs of similar age
#67,757
of 421,709 outputs
Outputs of similar age from Disease Models and Mechanisms
#19
of 81 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,922 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 73% 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 421,709 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.