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η-Secretase processing of APP inhibits neuronal activity in the hippocampus

Overview of attention for article published in Nature, August 2015
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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 (98th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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9 news outlets
blogs
3 blogs
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34 X users
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1 patent
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2 Facebook pages

Citations

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304 Dimensions

Readers on

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535 Mendeley
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1 CiteULike
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Title
η-Secretase processing of APP inhibits neuronal activity in the hippocampus
Published in
Nature, August 2015
DOI 10.1038/nature14864
Pubmed ID
Authors

Michael Willem, Sabina Tahirovic, Marc Aurel Busche, Saak V. Ovsepian, Magda Chafai, Scherazad Kootar, Daniel Hornburg, Lewis D. B. Evans, Steven Moore, Anna Daria, Heike Hampel, Veronika Müller, Camilla Giudici, Brigitte Nuscher, Andrea Wenninger-Weinzierl, Elisabeth Kremmer, Michael T. Heneka, Dietmar R. Thal, Vilmantas Giedraitis, Lars Lannfelt, Ulrike Müller, Frederick J. Livesey, Felix Meissner, Jochen Herms, Arthur Konnerth, Hélène Marie, Christian Haass

Abstract

Alzheimer disease (AD) is characterized by the accumulation of amyloid plaques, which are predominantly composed of amyloid-β peptide. Two principal physiological pathways either prevent or promote amyloid-β generation from its precursor, β-amyloid precursor protein (APP), in a competitive manner. Although APP processing has been studied in great detail, unknown proteolytic events seem to hinder stoichiometric analyses of APP metabolism in vivo. Here we describe a new physiological APP processing pathway, which generates proteolytic fragments capable of inhibiting neuronal activity within the hippocampus. We identify higher molecular mass carboxy-terminal fragments (CTFs) of APP, termed CTF-η, in addition to the long-known CTF-α and CTF-β fragments generated by the α- and β-secretases ADAM10 (a disintegrin and metalloproteinase 10) and BACE1 (β-site APP cleaving enzyme 1), respectively. CTF-η generation is mediated in part by membrane-bound matrix metalloproteinases such as MT5-MMP, referred to as η-secretase activity. η-Secretase cleavage occurs primarily at amino acids 504-505 of APP695, releasing a truncated ectodomain. After shedding of this ectodomain, CTF-η is further processed by ADAM10 and BACE1 to release long and short Aη peptides (termed Aη-α and Aη-β). CTFs produced by η-secretase are enriched in dystrophic neurites in an AD mouse model and in human AD brains. Genetic and pharmacological inhibition of BACE1 activity results in robust accumulation of CTF-η and Aη-α. In mice treated with a potent BACE1 inhibitor, hippocampal long-term potentiation was reduced. Notably, when recombinant or synthetic Aη-α was applied on hippocampal slices ex vivo, long-term potentiation was lowered. Furthermore, in vivo single-cell two-photon calcium imaging showed that hippocampal neuronal activity was attenuated by Aη-α. These findings not only demonstrate a major functionally relevant APP processing pathway, but may also indicate potential translational relevance for therapeutic strategies targeting APP processing.

X Demographics

X Demographics

The data shown below were collected from the profiles of 34 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 535 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 5 <1%
United Kingdom 3 <1%
Spain 3 <1%
France 2 <1%
Australia 1 <1%
Russia 1 <1%
Canada 1 <1%
Japan 1 <1%
United States 1 <1%
Other 0 0%
Unknown 517 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 134 25%
Researcher 87 16%
Student > Master 65 12%
Student > Bachelor 53 10%
Student > Doctoral Student 31 6%
Other 67 13%
Unknown 98 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 158 30%
Neuroscience 117 22%
Biochemistry, Genetics and Molecular Biology 64 12%
Medicine and Dentistry 36 7%
Chemistry 19 4%
Other 27 5%
Unknown 114 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 108. 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 04 October 2019.
All research outputs
#400,715
of 25,931,626 outputs
Outputs from Nature
#19,756
of 99,122 outputs
Outputs of similar age
#4,883
of 278,307 outputs
Outputs of similar age from Nature
#372
of 968 outputs
Altmetric has tracked 25,931,626 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 99,122 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.9. This one has done well, scoring higher than 80% 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 278,307 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 98% of its contemporaries.
We're also able to compare this research output to 968 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 61% of its contemporaries.