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Targeting multiple pathogenic mechanisms with polyphenols for the treatment of Alzheimer's disease-experimental approach and therapeutic implications

Overview of attention for article published in Frontiers in Aging Neuroscience, March 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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2 X users
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2 Facebook pages
wikipedia
1 Wikipedia page

Citations

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98 Dimensions

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116 Mendeley
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Title
Targeting multiple pathogenic mechanisms with polyphenols for the treatment of Alzheimer's disease-experimental approach and therapeutic implications
Published in
Frontiers in Aging Neuroscience, March 2014
DOI 10.3389/fnagi.2014.00042
Pubmed ID
Authors

Jun Wang, Weina Bi, Alice Cheng, Daniel Freire, Prashant Vempati, Wei Zhao, Bing Gong, Elsa M. Janle, Tzu-Ying Chen, Mario G. Ferruzzi, James Schmeidler, Lap Ho, Giulio M. Pasinetti

Abstract

Alzheimer's disease (AD) is the most prevalent neurodegenerative disease of aging and currently has no cure. Its onset and progression are influenced by multiple factors. There is growing consensus that successful treatment will rely on simultaneously targeting multiple pathological features of AD. Polyphenol compounds have many proven health benefits. In this study, we tested the hypothesis that combining three polyphenolic preparations (grape seed extract, resveratrol, and Concord grape juice extract), with different polyphenolic compositions and partially redundant bioactivities, may simultaneously and synergistically mitigate amyloid-β (Aβ) mediated neuropathology and cognitive impairments in a mouse model of AD. We found that administration of the polyphenols in combination did not alter the profile of bioactive polyphenol metabolites in the brain. We also found that combination treatment resulted in better protection against cognitive impairments compared to individual treatments, in J20 AD mice. Electrophysiological examination showed that acute treatment with select brain penetrating polyphenol metabolites, derived from these polyphenols, improved oligomeric Aβ (oAβ)-induced long term potentiation (LTP) deficits in hippocampal slices. Moreover, we found greatly reduced total amyloid content in the brain following combination treatment. Our studies provided experimental evidence that application of polyphenols targeting multiple disease-mechanisms may yield a greater likelihood of therapeutic efficacy.

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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Netherlands 1 <1%
Unknown 114 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 22%
Student > Master 19 16%
Student > Bachelor 13 11%
Researcher 12 10%
Other 7 6%
Other 16 14%
Unknown 24 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 20%
Biochemistry, Genetics and Molecular Biology 12 10%
Medicine and Dentistry 12 10%
Pharmacology, Toxicology and Pharmaceutical Science 9 8%
Chemistry 9 8%
Other 20 17%
Unknown 31 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 30 November 2020.
All research outputs
#5,881,941
of 22,796,179 outputs
Outputs from Frontiers in Aging Neuroscience
#2,320
of 4,765 outputs
Outputs of similar age
#54,709
of 221,077 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#13
of 42 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 4,765 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has gotten more attention than average, scoring higher than 51% 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 221,077 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 74% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.