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Zika Virus and the Metabolism of Neuronal Cells

Overview of attention for article published in Molecular Neurobiology, July 2018
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Title
Zika Virus and the Metabolism of Neuronal Cells
Published in
Molecular Neurobiology, July 2018
DOI 10.1007/s12035-018-1263-x
Pubmed ID
Authors

Hussin A. Rothan, Shengyun Fang, Mohan Mahesh, Siddappa N. Byrareddy

Abstract

Zika virus (ZIKV) infection is associated with abnormal functions of neuronal cells causing neurological disorders such as microcephaly in the newborns and Guillain-Barré syndrome in the adults. Typically, healthy brain growth is associated with normal neural stem cell proliferation, differentiation, and maturation. This process requires a controlled cellular metabolism that is essential for normal migration, axonal elongation, and dendrite morphogenesis of newly generated neurons. Thus, the remarkable changes in the cellular metabolism during early stages of neuronal stem cell differentiation are crucial for brain development. Recent studies show that ZIKV directly infects neuronal stem cells in the fetus and impairs brain growth. In this review, we highlighted the fact that the activation of P53 and inhibition of the mTOR pathway by ZIKV infection to neuronal stem cells induces early shifting from glycolysis to oxidative phosphorylation (OXPHOS) may induce immature differentiation, apoptosis, and stem cell exhaustion. We hypothesize that ZIKV infection to mature myelin-producing cells and resulting metabolic shift may lead to the development of neurological diseases, such as Guillain-Barré syndrome. Thus, the effects of ZIKV on the cellular metabolism of neuronal cells may lead to the incidence of neurological disorders as observed recently during ZIKV infection.

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The data shown below were collected from the profile of 1 X user 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 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 117 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 19%
Student > Ph. D. Student 20 17%
Student > Bachelor 18 15%
Researcher 12 10%
Student > Doctoral Student 5 4%
Other 13 11%
Unknown 27 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 17%
Agricultural and Biological Sciences 15 13%
Medicine and Dentistry 14 12%
Immunology and Microbiology 13 11%
Neuroscience 8 7%
Other 13 11%
Unknown 34 29%
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 26 July 2018.
All research outputs
#20,527,576
of 23,096,849 outputs
Outputs from Molecular Neurobiology
#2,829
of 3,498 outputs
Outputs of similar age
#288,196
of 329,806 outputs
Outputs of similar age from Molecular Neurobiology
#116
of 137 outputs
Altmetric has tracked 23,096,849 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,498 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 1st percentile – i.e., 1% 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 329,806 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.