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Discovery of a selective NaV1.7 inhibitor from centipede venom with analgesic efficacy exceeding morphine in rodent pain models

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, September 2013
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Citations

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mendeley
217 Mendeley
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3 CiteULike
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Title
Discovery of a selective NaV1.7 inhibitor from centipede venom with analgesic efficacy exceeding morphine in rodent pain models
Published in
Proceedings of the National Academy of Sciences of the United States of America, September 2013
DOI 10.1073/pnas.1306285110
Pubmed ID
Authors

Shilong Yang, Yao Xiao, Di Kang, Jie Liu, Yuan Li, Eivind A. B. Undheim, Julie K. Klint, Mingqiang Rong, Ren Lai, Glenn F. King

Abstract

Loss-of-function mutations in the human voltage-gated sodium channel NaV1.7 result in a congenital indifference to pain. Selective inhibitors of NaV1.7 are therefore likely to be powerful analgesics for treating a broad range of pain conditions. Herein we describe the identification of µ-SLPTX-Ssm6a, a unique 46-residue peptide from centipede venom that potently inhibits NaV1.7 with an IC50 of ∼25 nM. µ-SLPTX-Ssm6a has more than 150-fold selectivity for NaV1.7 over all other human NaV subtypes, with the exception of NaV1.2, for which the selectivity is 32-fold. µ-SLPTX-Ssm6a contains three disulfide bonds with a unique connectivity pattern, and it has no significant sequence homology with any previously characterized peptide or protein. µ-SLPTX-Ssm6a proved to be a more potent analgesic than morphine in a rodent model of chemical-induced pain, and it was equipotent with morphine in rodent models of thermal and acid-induced pain. This study establishes µ-SPTX-Ssm6a as a promising lead molecule for the development of novel analgesics targeting NaV1.7, which might be suitable for treating a wide range of human pain pathologies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 42 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 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
United States 2 <1%
Portugal 1 <1%
Canada 1 <1%
Switzerland 1 <1%
Belgium 1 <1%
Argentina 1 <1%
Unknown 208 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 45 21%
Student > Ph. D. Student 41 19%
Student > Bachelor 27 12%
Student > Master 26 12%
Other 13 6%
Other 39 18%
Unknown 26 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 75 35%
Medicine and Dentistry 35 16%
Biochemistry, Genetics and Molecular Biology 20 9%
Chemistry 20 9%
Pharmacology, Toxicology and Pharmaceutical Science 15 7%
Other 21 10%
Unknown 31 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 220. 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 10 August 2021.
All research outputs
#166,203
of 24,625,114 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#3,275
of 101,438 outputs
Outputs of similar age
#1,141
of 211,689 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#47
of 881 outputs
Altmetric has tracked 24,625,114 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has done particularly well, scoring higher than 96% 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 211,689 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 99% of its contemporaries.
We're also able to compare this research output to 881 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 94% of its contemporaries.