| Title |
Exercise: Putting Action into Our Epigenome
|
|---|---|
| Published in |
Sports Medicine, October 2013
|
| DOI | 10.1007/s40279-013-0114-1 |
| Pubmed ID | |
| Authors |
Joshua Denham, Francine Z. Marques, Brendan J. O’Brien, Fadi J. Charchar |
| Abstract |
Most human phenotypes are influenced by a combination of genomic and environmental factors. Engaging in regular physical exercise prevents many chronic diseases, decreases mortality risk and increases longevity. However, the mechanisms involved are poorly understood. The modulating effect of physical (aerobic and resistance) exercise on gene expression has been known for some time now and has provided us with an understanding of the biological responses to physical exercise. Emerging research data suggest that epigenetic modifications are extremely important for both development and disease in humans. In the current review, we summarise findings on the effect of exercise on epigenetic modifications and their effects on gene expression. Current research data suggest epigenetic modifications (DNA methylation and histone acetylation) and microRNAs (miRNAs) are responsive to acute aerobic and resistance exercise in brain, blood, skeletal and cardiac muscle, adipose tissue and even buccal cells. Six months of aerobic exercise alters whole-genome DNA methylation in skeletal muscle and adipose tissue and directly influences lipogenesis. Some miRNAs are related to maximal oxygen consumption (VO(2max)) and VO(2max) trainability, and are differentially expressed amongst individuals with high and low VO(2max). Remarkably, miRNA expression profiles discriminate between low and high responders to resistance exercise (miR-378, -26a, -29a and -451) and correlate to gains in lean body mass (miR-378). The emerging field of exercise epigenomics is expected to prosper and additional studies may elucidate the clinical relevance of miRNAs and epigenetic modifications, and delineate mechanisms by which exercise confers a healthier phenotype and improves performance. |
X Demographics
The data shown below were collected from the profiles of 59 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 20% |
| United Kingdom | 7 | 12% |
| Ireland | 2 | 3% |
| Spain | 2 | 3% |
| Australia | 2 | 3% |
| New Zealand | 2 | 3% |
| Venezuela, Bolivarian Republic of | 2 | 3% |
| Netherlands | 2 | 3% |
| Chile | 2 | 3% |
| Other | 8 | 14% |
| Unknown | 18 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 36 | 61% |
| Scientists | 17 | 29% |
| Practitioners (doctors, other healthcare professionals) | 4 | 7% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
| Unknown | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 298 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| Chile | 1 | <1% |
| New Zealand | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 291 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 53 | 18% |
| Student > Master | 42 | 14% |
| Researcher | 33 | 11% |
| Student > Bachelor | 33 | 11% |
| Student > Doctoral Student | 27 | 9% |
| Other | 67 | 22% |
| Unknown | 43 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 65 | 22% |
| Medicine and Dentistry | 46 | 15% |
| Biochemistry, Genetics and Molecular Biology | 42 | 14% |
| Sports and Recreations | 41 | 14% |
| Nursing and Health Professions | 15 | 5% |
| Other | 35 | 12% |
| Unknown | 54 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 66. 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 27 October 2023.
All research outputs
#653,485
of 25,621,213 outputs
Outputs from Sports Medicine
#614
of 2,889 outputs
Outputs of similar age
#5,511
of 226,056 outputs
Outputs of similar age from Sports Medicine
#9
of 33 outputs
Altmetric has tracked 25,621,213 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,889 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 57.1. This one has done well, scoring higher than 78% 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 226,056 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 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.