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Insulin Resistance as a Link between Amyloid-Beta and Tau Pathologies in Alzheimer’s Disease

Overview of attention for article published in Frontiers in Aging Neuroscience, May 2017
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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237 Mendeley
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Title
Insulin Resistance as a Link between Amyloid-Beta and Tau Pathologies in Alzheimer’s Disease
Published in
Frontiers in Aging Neuroscience, May 2017
DOI 10.3389/fnagi.2017.00118
Pubmed ID
Authors

Roger J. Mullins, Thomas C. Diehl, Chee W. Chia, Dimitrios Kapogiannis

Abstract

Current hypotheses and theories regarding the pathogenesis of Alzheimer's disease (AD) heavily implicate brain insulin resistance (IR) as a key factor. Despite the many well-validated metrics for systemic IR, the absence of biomarkers for brain-specific IR represents a translational gap that has hindered its study in living humans. In our lab, we have been working to develop biomarkers that reflect the common mechanisms of brain IR and AD that may be used to follow their engagement by experimental treatments. We present two promising biomarkers for brain IR in AD: insulin cascade mediators probed in extracellular vesicles (EVs) enriched for neuronal origin, and two-dimensional magnetic resonance spectroscopy (MRS) measures of brain glucose. As further evidence for a fundamental link between brain IR and AD, we provide a novel analysis demonstrating the close spatial correlation between brain expression of genes implicated in IR (using Allen Human Brain Atlas data) and tau and beta-amyloid pathologies. We proceed to propose the bold hypotheses that baseline differences in the metabolic reliance on glycolysis, and the expression of glucose transporters (GLUT) and insulin signaling genes determine the vulnerability of different brain regions to Tau and/or Amyloid beta (Aβ) pathology, and that IR is a critical link between these two pathologies that define AD. Lastly, we provide an overview of ongoing clinical trials that target IR as an angle to treat AD, and suggest how biomarkers may be used to evaluate treatment efficacy and target engagement.

X Demographics

X Demographics

The data shown below were collected from the profiles of 52 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 237 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 237 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 18%
Student > Bachelor 34 14%
Researcher 26 11%
Student > Master 24 10%
Student > Doctoral Student 12 5%
Other 34 14%
Unknown 65 27%
Readers by discipline Count As %
Neuroscience 37 16%
Medicine and Dentistry 26 11%
Biochemistry, Genetics and Molecular Biology 24 10%
Agricultural and Biological Sciences 21 9%
Pharmacology, Toxicology and Pharmaceutical Science 17 7%
Other 31 13%
Unknown 81 34%
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 27 April 2023.
All research outputs
#1,134,947
of 25,611,630 outputs
Outputs from Frontiers in Aging Neuroscience
#263
of 5,544 outputs
Outputs of similar age
#22,250
of 325,093 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#14
of 128 outputs
Altmetric has tracked 25,611,630 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 5,544 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done particularly well, scoring higher than 95% 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 325,093 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 93% of its contemporaries.
We're also able to compare this research output to 128 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.