↓ Skip to main content

Skeletal Muscle PGC-1α1 Modulates Kynurenine Metabolism and Mediates Resilience to Stress-Induced Depression

Overview of attention for article published in Cell, September 2014
Altmetric Badge

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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

dimensions_citation
347 Dimensions

Readers on

mendeley
701 Mendeley
Title
Skeletal Muscle PGC-1α1 Modulates Kynurenine Metabolism and Mediates Resilience to Stress-Induced Depression
Published in
Cell, September 2014
DOI 10.1016/j.cell.2014.07.051
Pubmed ID
Authors

Leandro Z. Agudelo, Teresa Femenía, Funda Orhan, Margareta Porsmyr-Palmertz, Michel Goiny, Vicente Martinez-Redondo, Jorge C. Correia, Manizheh Izadi, Maria Bhat, Ina Schuppe-Koistinen, Amanda T. Pettersson, Duarte M.S. Ferreira, Anna Krook, Romain Barres, Juleen R. Zierath, Sophie Erhardt, Maria Lindskog, Jorge L. Ruas

Abstract

Depression is a debilitating condition with a profound impact on quality of life for millions of people worldwide. Physical exercise is used as a treatment strategy for many patients, but the mechanisms that underlie its beneficial effects remain unknown. Here, we describe a mechanism by which skeletal muscle PGC-1α1 induced by exercise training changes kynurenine metabolism and protects from stress-induced depression. Activation of the PGC-1α1-PPARα/δ pathway increases skeletal muscle expression of kynurenine aminotransferases, thus enhancing the conversion of kynurenine into kynurenic acid, a metabolite unable to cross the blood-brain barrier. Reducing plasma kynurenine protects the brain from stress-induced changes associated with depression and renders skeletal muscle-specific PGC-1α1 transgenic mice resistant to depression induced by chronic mild stress or direct kynurenine administration. This study opens therapeutic avenues for the treatment of depression by targeting the PGC-1α1-PPAR axis in skeletal muscle, without the need to cross the blood-brain barrier.

Twitter Demographics

The data shown below were collected from the profiles of 1,238 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 701 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 1%
Japan 4 <1%
United Kingdom 4 <1%
Germany 3 <1%
Canada 3 <1%
France 2 <1%
Spain 2 <1%
Switzerland 2 <1%
Sweden 1 <1%
Other 7 <1%
Unknown 665 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 127 18%
Researcher 118 17%
Student > Bachelor 105 15%
Student > Master 89 13%
Student > Doctoral Student 43 6%
Other 133 19%
Unknown 86 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 164 23%
Medicine and Dentistry 115 16%
Biochemistry, Genetics and Molecular Biology 94 13%
Neuroscience 68 10%
Psychology 40 6%
Other 103 15%
Unknown 117 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 767. 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 28 March 2021.
All research outputs
#13,317
of 17,731,282 outputs
Outputs from Cell
#118
of 15,664 outputs
Outputs of similar age
#109
of 217,702 outputs
Outputs of similar age from Cell
#2
of 144 outputs
Altmetric has tracked 17,731,282 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 15,664 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.3. This one has done particularly well, scoring higher than 99% 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 217,702 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 144 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 99% of its contemporaries.