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PGC-1α Modulates Telomere Function and DNA Damage in Protecting against Aging-Related Chronic Diseases

Overview of attention for article published in Cell Reports, September 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
4 news outlets
blogs
5 blogs
twitter
27 tweeters
patent
1 patent
facebook
3 Facebook pages
wikipedia
1 Wikipedia page
googleplus
1 Google+ user
reddit
1 Redditor

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
76 Mendeley
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Title
PGC-1α Modulates Telomere Function and DNA Damage in Protecting against Aging-Related Chronic Diseases
Published in
Cell Reports, September 2015
DOI 10.1016/j.celrep.2015.07.047
Pubmed ID
Authors

Shiqin Xiong, Nikolay Patrushev, Farshad Forouzandeh, Lula Hilenski, R. Wayne Alexander

Abstract

Cellular senescence and organismal aging predispose age-related chronic diseases, such as neurodegenerative, metabolic, and cardiovascular disorders. These diseases emerge coincidently from elevated oxidative/electrophilic stress, inflammation, mitochondrial dysfunction, DNA damage, and telomere dysfunction and shortening. Mechanistic linkages are incompletely understood. Here, we show that ablation of peroxisome proliferator-activated receptor γ coactivator-1α (PGC-1α) accelerates vascular aging and atherosclerosis, coinciding with telomere dysfunction and shortening and DNA damage. PGC-1α deletion reduces expression and activity of telomerase reverse transcriptase (TERT) and increases p53 levels. Ectopic expression of PGC-1α coactivates TERT transcription and reverses telomere malfunction and DNA damage. Furthermore, alpha lipoic acid (ALA), a non-dispensable mitochondrial cofactor, upregulates PGC-1α-dependent TERT and the cytoprotective Nrf-2-mediated antioxidant/electrophile-responsive element (ARE/ERE) signaling cascades, and counteracts high-fat-diet-induced, age-dependent arteriopathy. These results illustrate the pivotal importance of PGC-1α in ameliorating senescence, aging, and associated chronic diseases, and may inform novel therapeutic approaches involving electrophilic specificity.

Twitter Demographics

The data shown below were collected from the profiles of 27 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Germany 1 1%
Unknown 73 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 21%
Student > Ph. D. Student 12 16%
Student > Bachelor 11 14%
Student > Master 11 14%
Other 8 11%
Other 12 16%
Unknown 6 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 33 43%
Agricultural and Biological Sciences 16 21%
Medicine and Dentistry 11 14%
Neuroscience 2 3%
Immunology and Microbiology 1 1%
Other 5 7%
Unknown 8 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 82. 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 06 September 2019.
All research outputs
#272,583
of 15,947,129 outputs
Outputs from Cell Reports
#583
of 7,894 outputs
Outputs of similar age
#5,055
of 240,719 outputs
Outputs of similar age from Cell Reports
#11
of 208 outputs
Altmetric has tracked 15,947,129 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 7,894 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one has done particularly well, scoring higher than 92% 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 240,719 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 97% of its contemporaries.
We're also able to compare this research output to 208 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.