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Tissue-Specific Upregulation of Drosophila Insulin Receptor (InR) Mitigates Poly(Q)-Mediated Neurotoxicity by Restoration of Cellular Transcription Machinery

Overview of attention for article published in Molecular Neurobiology, June 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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3 news outlets
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1 blog
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7 X users
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1 Facebook page

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21 Mendeley
Title
Tissue-Specific Upregulation of Drosophila Insulin Receptor (InR) Mitigates Poly(Q)-Mediated Neurotoxicity by Restoration of Cellular Transcription Machinery
Published in
Molecular Neurobiology, June 2018
DOI 10.1007/s12035-018-1160-3
Pubmed ID
Authors

Kritika Raj, Surajit Sarkar

Abstract

Polyglutamine [poly(Q)] disorders are a class of trinucleotide repeat expansion neurodegenerative disorders which are dominantly inherited and progressively acquired with age. This group of disorders entail the characteristic formation of protein aggregates leading to widespread loss of neurons in different regions of the brain. SCA3 and HD, the two most commonly occurring types of poly(Q) disorders were examined in the present study. With the aim of elucidating novel genetic modifiers of poly(Q) disorders, the Drosophila insulin receptor (InR) was identified as a potential suppressor of poly(Q)-induced neurotoxicity and degeneration. We demonstrate for the first time that targeted upregulation of InR could effectively mitigate poly(Q)-mediated neurodegeneration in fly models. A significant reduction in poly(Q)-mediated cellular stress and apoptosis was noted upon InR overexpression in poly(Q) background. We further reveal that targeted upregulation of InR causes a substantial reduction in poly(Q) aggregate formation with the residual inclusion bodies localised to the cytoplasm. We also demonstrate that InR achieves suppression of poly(Q) toxicity by replenishing the cellular pool of CREB binding protein and improving the histone acetylation status of the cell. This leads to restoration of the cellular transcriptional machinery which is otherwise severely compromised in poly(Q) disease conditions. Interestingly, there also appeared a possibility of autophagy-mediated rescue of poly(Q) phenotype due to upregulation of InR. Therefore, our study strongly suggests that modulation of the insulin signalling pathway could be an effective therapeutic intervention against poly(Q) disorders.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 14%
Researcher 3 14%
Student > Bachelor 2 10%
Professor 2 10%
Student > Ph. D. Student 2 10%
Other 1 5%
Unknown 8 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 33%
Neuroscience 2 10%
Physics and Astronomy 1 5%
Agricultural and Biological Sciences 1 5%
Medicine and Dentistry 1 5%
Other 1 5%
Unknown 8 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 21 December 2019.
All research outputs
#1,018,943
of 23,577,654 outputs
Outputs from Molecular Neurobiology
#64
of 3,561 outputs
Outputs of similar age
#23,881
of 330,339 outputs
Outputs of similar age from Molecular Neurobiology
#7
of 121 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,561 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 98% 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 330,339 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 121 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 94% of its contemporaries.