| Chapter title |
Volumetric Muscle Loss.
|
|---|---|
| Chapter number | 2 |
| Book title |
Skeletal Muscle Regeneration in the Mouse
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3810-0_2 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3808-7, 978-1-4939-3810-0
|
| Authors |
Beth E. Pollot, Benjamin T. Corona Ph.D., Benjamin T. Corona, Pollot, Beth E., Corona, Benjamin T. |
| Editors |
Michael Kyba |
| Abstract |
Volumetric muscle loss (VML) injury is prevalent in severe extremity trauma and is an emerging focus area among orthopedic and regenerative medicine fields. VML injuries are the result of an abrupt, frank loss of tissue and therefore of different etiology from other standard rodent injury models to include eccentric contraction, ischemia reperfusion, crush, and freeze injury. The current focus of many VML-related research efforts is to regenerate the lost muscle tissue and thereby improve muscle strength. Herein, we describe a VML model in the anterior compartment of the hindlimb that is permissible to repeated neuromuscular strength assessments and is validated in mouse, rat, and pig. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| United Kingdom | 1 | <1% |
| Russia | 1 | <1% |
| Unknown | 227 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 15% |
| Researcher | 26 | 11% |
| Student > Master | 26 | 11% |
| Student > Bachelor | 24 | 10% |
| Student > Doctoral Student | 13 | 6% |
| Other | 42 | 18% |
| Unknown | 65 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 42 | 18% |
| Medicine and Dentistry | 32 | 14% |
| Biochemistry, Genetics and Molecular Biology | 28 | 12% |
| Agricultural and Biological Sciences | 23 | 10% |
| Materials Science | 9 | 4% |
| Other | 21 | 9% |
| Unknown | 76 | 33% |