↓ Skip to main content

Rapamycin and mTOR-independent autophagy inducers ameliorate toxicity of polyglutamine-expanded huntingtin and related proteinopathies

Overview of attention for article published in Cell Death & Differentiation, July 2008
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
twitter
5 X users
patent
9 patents

Citations

dimensions_citation
466 Dimensions

Readers on

mendeley
460 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Rapamycin and mTOR-independent autophagy inducers ameliorate toxicity of polyglutamine-expanded huntingtin and related proteinopathies
Published in
Cell Death & Differentiation, July 2008
DOI 10.1038/cdd.2008.110
Pubmed ID
Authors

S Sarkar, B Ravikumar, R A Floto, D C Rubinsztein

Abstract

The formation of intra-neuronal mutant protein aggregates is a characteristic of several human neurodegenerative disorders, like Alzheimer's disease, Parkinson's disease (PD) and polyglutamine disorders, including Huntington's disease (HD). Autophagy is a major clearance pathway for the removal of mutant huntingtin associated with HD, and many other disease-causing, cytoplasmic, aggregate-prone proteins. Autophagy is negatively regulated by the mammalian target of rapamycin (mTOR) and can be induced in all mammalian cell types by the mTOR inhibitor rapamycin. It can also be induced by a recently described cyclical mTOR-independent pathway, which has multiple drug targets, involving links between Ca(2+)-calpain-G(salpha) and cAMP-Epac-PLC-epsilon-IP(3) signalling. Both pathways enhance the clearance of mutant huntingtin fragments and attenuate polyglutamine toxicity in cell and animal models. The protective effects of rapamycin in vivo are autophagy-dependent. In Drosophila models of various diseases, the benefits of rapamycin are lost when the expression of different autophagy genes is reduced, implicating that its effects are not mediated by autophagy-independent processes (like mild translation suppression). Also, the mTOR-independent autophagy enhancers have no effects on mutant protein clearance in autophagy-deficient cells. In this review, we describe various drugs and pathways inducing autophagy, which may be potential therapeutic approaches for HD and related conditions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 460 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 6 1%
United States 3 <1%
Netherlands 2 <1%
Turkey 2 <1%
Germany 2 <1%
Switzerland 1 <1%
France 1 <1%
India 1 <1%
Austria 1 <1%
Other 5 1%
Unknown 436 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 98 21%
Student > Ph. D. Student 97 21%
Student > Master 56 12%
Student > Bachelor 39 8%
Professor > Associate Professor 24 5%
Other 81 18%
Unknown 65 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 156 34%
Biochemistry, Genetics and Molecular Biology 80 17%
Medicine and Dentistry 46 10%
Neuroscience 39 8%
Pharmacology, Toxicology and Pharmaceutical Science 15 3%
Other 42 9%
Unknown 82 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 December 2023.
All research outputs
#1,861,808
of 23,749,054 outputs
Outputs from Cell Death & Differentiation
#211
of 3,061 outputs
Outputs of similar age
#4,788
of 83,509 outputs
Outputs of similar age from Cell Death & Differentiation
#1
of 17 outputs
Altmetric has tracked 23,749,054 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,061 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has done particularly well, scoring higher than 93% 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 83,509 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 94% of its contemporaries.
We're also able to compare this research output to 17 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 99% of its contemporaries.