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Divergent Metabolic Regulation of Autophagy and mTORC1—Early Events in Alzheimer’s Disease?

Overview of attention for article published in Frontiers in Aging Neuroscience, June 2017
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  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Divergent Metabolic Regulation of Autophagy and mTORC1—Early Events in Alzheimer’s Disease?
Published in
Frontiers in Aging Neuroscience, June 2017
DOI 10.3389/fnagi.2017.00173
Pubmed ID
Authors

Mai A. Shafei, Matthew Harris, Myra E. Conway

Abstract

Alzheimer's disease (AD) is a progressive disease associated with the production and deposition of amyloid β-peptide (Aβ) aggregates and neurofibrillary tangles, which lead to synaptic and neuronal damage. Reduced autophagic flux has been widely associated with the accumulation of autophagic vacuoles (AV), which has been proposed to contribute to aggregate build-up observed in AD. As such, targeting autophagy regulation has received wide review, where an understanding as to how this mechanism can be controlled will be important to neuronal health. The mammalian target of rapamycin complex 1 (mTORC1), which was found to be hyperactive in AD brain, regulates autophagy and is considered to be mechanistically important to aberrant autophagy in AD. Hormones and nutrients such as insulin and leucine, respectively, positively regulate mTORC1 activation and are largely considered to inhibit autophagy. However, in AD brain there is a dysregulation of nutrient metabolism, linked to insulin resistance, where a role for insulin treatment to improve cognition has been proposed. Recent studies have highlighted that mitochondrial proteins such as glutamate dehydrogenase and the human branched chain aminotransferase protein, through metabolism of leucine and glutamate, differentially regulate mTORC1 and autophagy. As the levels of the hBCAT proteins are significantly increased in AD brain relative to aged-matched controls, we discuss how these metabolic pathways offer new potential therapeutic targets. In this review article, we highlight the core regulation of autophagy through mTORC1, focusing on how insulin and leucine will be important to consider in particular with respect to our understanding of nutrient load and AD pathogenesis.

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X Demographics

The data shown below were collected from the profiles of 7 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Researcher 10 19%
Student > Bachelor 7 13%
Professor > Associate Professor 4 7%
Other 3 6%
Other 8 15%
Unknown 11 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 37%
Pharmacology, Toxicology and Pharmaceutical Science 5 9%
Neuroscience 5 9%
Medicine and Dentistry 5 9%
Agricultural and Biological Sciences 4 7%
Other 3 6%
Unknown 12 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 June 2017.
All research outputs
#7,936,075
of 25,375,376 outputs
Outputs from Frontiers in Aging Neuroscience
#3,033
of 5,481 outputs
Outputs of similar age
#115,813
of 324,025 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#79
of 121 outputs
Altmetric has tracked 25,375,376 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 5,481 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. 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 324,025 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% 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 is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.