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Screening for Small Molecule Inhibitors of Statin-Induced APP C-terminal Toxic Fragment Production

Overview of attention for article published in Frontiers in Pharmacology, February 2017
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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1 news outlet
blogs
1 blog
twitter
2 X users
facebook
1 Facebook page

Citations

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2 Dimensions

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20 Mendeley
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Title
Screening for Small Molecule Inhibitors of Statin-Induced APP C-terminal Toxic Fragment Production
Published in
Frontiers in Pharmacology, February 2017
DOI 10.3389/fphar.2017.00046
Pubmed ID
Authors

Karen S. Poksay, Douglas J. Sheffler, Patricia Spilman, Jesus Campagna, Barbara Jagodzinska, Olivier Descamps, Olivia Gorostiza, Alex Matalis, Michael Mullenix, Dale E. Bredesen, Nicholas D. P. Cosford, Varghese John

Abstract

Alzheimer's disease (AD) is characterized by neuronal and synaptic loss. One process that could contribute to this loss is the intracellular caspase cleavage of the amyloid precursor protein (APP) resulting in release of the toxic C-terminal 31-amino acid peptide APP-C31 along with the production of APPΔC31, full-length APP minus the C-terminal 31 amino acids. We previously found that a mutation in APP that prevents this caspase cleavage ameliorated synaptic loss and cognitive impairment in a murine AD model. Thus, inhibition of this cleavage is a reasonable target for new therapeutic development. In order to identify small molecules that inhibit the generation of APP-C31, we first used an APPΔC31 cleavage site-specific antibody to develop an AlphaLISA to screen several chemical compound libraries for the level of N-terminal fragment production. This antibody was also used to develop an ELISA for validation studies. In both high throughput screening (HTS) and validation testing, the ability of compounds to inhibit simvastatin- (HTS) or cerivastatin- (validation studies) induced caspase cleavage at the APP-D720 cleavage site was determined in Chinese hamster ovary (CHO) cells stably transfected with wildtype (wt) human APP (CHO-7W). Several compounds, as well as control pan-caspase inhibitor Q-VD-OPh, inhibited APPΔC31 production (measured fragment) and rescued cell death in a dose-dependent manner. The effective compounds fell into several classes including SERCA inhibitors, inhibitors of Wnt signaling, and calcium channel antagonists. Further studies are underway to evaluate the efficacy of lead compounds - identified here using cells and tissues expressing wt human APP - in mouse models of AD expressing mutated human APP, as well as to identify additional compounds and determine the mechanisms by which they exert their effects.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 15%
Other 2 10%
Lecturer 2 10%
Student > Ph. D. Student 2 10%
Researcher 2 10%
Other 2 10%
Unknown 7 35%
Readers by discipline Count As %
Medicine and Dentistry 4 20%
Biochemistry, Genetics and Molecular Biology 2 10%
Neuroscience 2 10%
Business, Management and Accounting 1 5%
Psychology 1 5%
Other 1 5%
Unknown 9 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 12 October 2021.
All research outputs
#1,955,269
of 22,953,506 outputs
Outputs from Frontiers in Pharmacology
#723
of 16,230 outputs
Outputs of similar age
#48,726
of 454,358 outputs
Outputs of similar age from Frontiers in Pharmacology
#16
of 196 outputs
Altmetric has tracked 22,953,506 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,230 research outputs from this source. They receive a mean Attention Score of 5.0. 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 454,358 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 196 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 91% of its contemporaries.