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Role of PKCδ in Insulin Sensitivity and Skeletal Muscle Metabolism

Overview of attention for article published in Diabetes, August 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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8 X users
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2 Facebook pages
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1 Google+ user
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1 Redditor

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75 Mendeley
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Article details
Title
Role of PKCδ in Insulin Sensitivity and Skeletal Muscle Metabolism
Published in
Diabetes, August 2015
DOI 10.2337/db14-1891
Pubmed ID
Authors
Abstract

Protein kinase C (PKC) δ has been shown to be increased in liver in obesity and plays an important role in the development of hepatic insulin resistance in both mice and humans. In the present study, we explored the role of PKCδ in skeletal muscle in the control of insulin sensitivity and glucose metabolism by generating mice in which PKCδ was deleted specifically in muscle using Cre-lox recombination. Deletion of PKCδ in muscle improved insulin signaling in young mice, especially at low insulin doses, however, this did not change glucose tolerance or insulin tolerance tests done with pharmacological levels of insulin. Likewise, in young mice, muscle-specific deletion of PKCδ did not rescue high-fat diet induced insulin resistance or glucose intolerance. However, with an increase in age, PKCδ levels in muscle increased, and by 6- to 7-months of age, muscle-specific deletion of PKCδ improved whole body insulin sensitivity and muscle insulin resistance, and by 15 months of age, improved the age-related decline in whole body glucose tolerance. At 15 months of age, M-PKCδKO mice also exhibited decreased metabolic rate and lower levels of some proteins of the OXPHOS complex suggesting a role for PKCδ in the regulation of mitochondrial mass at older age. These data indicate an important role of PKCδ in the regulation of insulin sensitivity and mitochondrial homeostasis in skeletal muscle with aging.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 3%
Sweden 1 1%
Chile 1 1%
Unknown 71 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 16 21%
Student > Master 15 20%
Student > Bachelor 7 9%
Professor 5 7%
Researcher 5 7%
Other 12 16%
Unknown 15 20%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 31%
Agricultural and Biological Sciences 15 20%
Medicine and Dentistry 4 5%
Neuroscience 4 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 7 9%
Unknown 19 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 25 November 2015.
All research outputs
#4,619,207
of 23,312,088 outputs
Outputs from Diabetes
#2,299
of 9,321 outputs
Outputs of similar age
#58,494
of 268,581 outputs
Outputs of similar age from Diabetes
#35
of 111 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,321 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has done well, scoring higher than 75% 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 268,581 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 78% of its contemporaries.
We're also able to compare this research output to 111 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 68% of its contemporaries.