| Title |
Genetic biomarkers in non‐contact muscle injuries in elite soccer players
|
|---|---|
| Published in |
Knee Surgery, Sports Traumatology, Arthroscopy, April 2016
|
| DOI | 10.1007/s00167-016-4081-6 |
| Pubmed ID | |
| Authors |
Ricard Pruna, Rosa Artells, Matilda Lundblad, Nicola Maffulli |
| Abstract |
Damage to skeletal muscle necessitates regeneration to maintain proper muscle form and function. Interindividual differences in injury severity, recovery time, and injury rate could be explained by the presence of single nucleotide polymorphisms (SNPs) in genes involved in the reparation and regeneration of connective tissue . We wished to identify new genetic biomarkers that could help to prevent or minimize the risk of non-contact muscle injuries and are associated with a predisposition to developing muscle injuries. Using allelic discrimination techniques, we analysed 12 SNPs in selected genes from the genomic DNA of 74 elite soccer players. SNPs in the hepatocyte growth factor (HGF) gene showed evidence of a statistically significant association with injury incidence, severity, and recovery time. SNPs in the SOX15 gene showed evidence of a statistically significant association with injury incidence. SNPs in the GEFT and LIF genes showed evidence of a statistically significant association with recovery time. Genetic profile could explain why some elite soccer players are predisposed to suffer more injuries than others and why they need more time to recover from a particular injury. SNPs in HGF genes have an important role as biomarkers of biological processes fragility within muscle injuries related to injury rate, severity, and long recovery time. |
X Demographics
The data shown below were collected from the profiles of 14 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 | 2 | 14% |
| Bangladesh | 1 | 7% |
| United Arab Emirates | 1 | 7% |
| Germany | 1 | 7% |
| Denmark | 1 | 7% |
| Sweden | 1 | 7% |
| Unknown | 7 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 43% |
| Practitioners (doctors, other healthcare professionals) | 4 | 29% |
| Scientists | 4 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 2% |
| Unknown | 96 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 14% |
| Student > Bachelor | 9 | 9% |
| Other | 8 | 8% |
| Student > Ph. D. Student | 8 | 8% |
| Researcher | 6 | 6% |
| Other | 18 | 18% |
| Unknown | 35 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 20 | 20% |
| Medicine and Dentistry | 15 | 15% |
| Biochemistry, Genetics and Molecular Biology | 7 | 7% |
| Nursing and Health Professions | 6 | 6% |
| Agricultural and Biological Sciences | 5 | 5% |
| Other | 8 | 8% |
| Unknown | 37 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 18 October 2016.
All research outputs
#1,273,826
of 23,192,960 outputs
Outputs from Knee Surgery, Sports Traumatology, Arthroscopy
#97
of 2,691 outputs
Outputs of similar age
#21,245
of 270,586 outputs
Outputs of similar age from Knee Surgery, Sports Traumatology, Arthroscopy
#5
of 51 outputs
Altmetric has tracked 23,192,960 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,691 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done particularly well, scoring higher than 96% 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 270,586 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 92% of its contemporaries.
We're also able to compare this research output to 51 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 90% of its contemporaries.