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Article details
Title
Expression profiling following local muscle inactivity in humans provides new perspective on diabetes-related genes
Published in
Genomics, December 2005
DOI 10.1016/j.ygeno.2005.09.007
Pubmed ID
Authors
Abstract

Physical activity enhances muscle mitochondrial gene expression, while inactivity and mitochondrial dysfunction are both risk factors for developing diabetes. Defective activation of the transcriptional coactivator PGC-1alpha may contribute to the gene expression pattern observed in diabetic and insulin-resistant skeletal muscle. We proposed that greater insight into the mitochondrial component of skeletal muscle "diabetes" would be possible if the clinical transcriptome data were contrasted with local muscle inactivity-induced modulation of mitochondrial genes in otherwise healthy subjects. We studied PPARGC1A (PGC-1alpha), PPARGC1B (PGC-1beta), NRF1, and a variety of mitochondrial DNA (mtDNA) and nuclear-encoded mitochondrial genes critical for oxidative phosphorylation in soleus muscle biopsies obtained from six healthy men and women before and after 5 weeks of local muscle inactivity. Muscle inactivity resulted in a coordinated down-regulation of PGC-1alpha and genes involved with mitochondrial metabolism, including muscle substrate delivery genes. Decreased expression of the mtDNA helicase Twinkle was related to the decline in mitochondrial RNA polymerase (r = 0.83, p < 0.04), suggesting that mtDNA transcription and replication are coregulated in human muscle tissue. In contrast to the situation in diabetes, PGC-1beta expression was not significantly altered, while NRF1 expression was actually up-regulated following muscle inactivity. We can conclude that reduced PGC-1alpha expression described in Type 2 diabetes may be partly explained by muscle inactivity. Further, although diabetes patients are typically inactive, our analysis indicates that local muscle inactivity may not be expected to contribute to the decreased NRF1 and PGC-1beta expression noted in insulin-resistant and Type 2 diabetes patients, suggesting these changes may be more disease specific.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 64 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 %
Portugal 2 3%
India 1 2%
United Kingdom 1 2%
France 1 2%
Finland 1 2%
Denmark 1 2%
Canada 1 2%
Unknown 56 88%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 14 22%
Researcher 12 19%
Student > Bachelor 7 11%
Student > Master 5 8%
Professor > Associate Professor 4 6%
Other 14 22%
Unknown 8 13%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 13 20%
Biochemistry, Genetics and Molecular Biology 12 19%
Sports and Recreations 8 13%
Medicine and Dentistry 8 13%
Neuroscience 2 3%
Other 10 16%
Unknown 11 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 February 2014.
All research outputs
#22,692,974
of 27,780,120 outputs
Outputs from Genomics
#5,442
of 5,976 outputs
Outputs of similar age
#166,053
of 173,011 outputs
Outputs of similar age from Genomics
#23
of 24 outputs
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So far Altmetric has tracked 5,976 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.