Physiology and pathophysiology of musculoskeletal aging: Current research trends and future priorities

Frontiers in Physiology

Volumn 4 APR, Issue , 2013, Pages

  Mobasheri, Ali ^a,b   Mendes, Alexandrina F ^c  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^b KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

^c UNIVERSITY OF COIMBRA   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

CARTILAGE OLIGOMERIC MATRIX PROTEIN; CATHEPSIN K; COLLAGEN TYPE 2; COLLAGENASE 3; GLYCOPROTEIN; HUMAN CARTILAGE GLYCOPROTEIN 39; HYALURONIC ACID; INTERSTITIAL COLLAGENASE; MYELOPEROXIDASE; UNCLASSIFIED DRUG;

AGING; ARTICLE; BONE AGE; CHIROPRACTIC; DISEASE ACTIVITY; DISEASE COURSE; DISEASE MARKER; EVIDENCE BASED MEDICINE; EXERCISE; FUNCTIONAL DISEASE; HUMAN; MUSCLE ATROPHY; MUSCLE MASS; MUSCLE METABOLISM; MUSCLE MITOCHONDRION; MUSCULOSKELETAL AGING; MUSCULOSKELETAL DISEASE; MUSCULOSKELETAL SYSTEM; OSTEOARTHRITIS; PATHOPHYSIOLOGY; PHYSICAL ACTIVITY; PHYSICAL CAPACITY; PHYSIOLOGY; PRIMARY MEDICAL CARE; SARCOPENIA; TREND STUDY;

EID: 84883809771     PISSN: None     EISSN: 1664042X     Source Type: Journal    
DOI: 10.3389/fphys.2013.00073     Document Type: Article

References (13)

1. Baumgartner, R. N., Waters, D. L., Gallagher, D., Morley, J. E., and Garry, P. J. (1999). Predictors of skeletal muscle mass in elderly men and women. Mech. Ageing Dev. 107, 123-136.
2. Englund, M. (2010). The role of biomechanics in the initiation and progression of OA of the knee. Best Pract. Res. Clin. Rheumatol. 24, 39-46.
3. Fernandez-Moreno, M., Soto-Hermida, A., Oreiro, N., Pertega, S., Fenandez-Lopez, C., Rego-Perez, I., et al. (2012). Mitochondrial haplogroups define two phenotypes of osteoarthritis. Front. Physiol. 3:129. doi: 10.3389/fphys.2012.00129
4. Gharbi, M., Deberg, M., and Henrotin, Y. (2011). Application for proteomic techniques in studying osteoarthritis: a review. Front. Physiol. 2:90. doi: 10.3389/fphys.2011.00090
5. Hunnisett, A., and Cunliffe, C. (2012). Chiropractic treatment as a primary care intervention for better musculoskeletal health in the aging population in the United kingdom: an opinion and positioning paper. Front. Physiol. 3:87. doi: 10.3389/fphys.2012.00087
6. Karasik, D., and Cohen-Zinder, M. (2012). The genetic pleiotropy of musculoskeletal aging. Front. Physiol. 3:303. doi: 10.3389/fphys.2012.00303
7. Mitchell, W. K., Williams, J., Atherton, P., Larvin, M., Lund, J., and Narici, M. (2012). Sarcopenia, dynapenia, and the impact of advancing age on human skeletal muscle size and strength; a quantitative review. Front. Physiol. 3:260. doi: 10.3389/fphys.2012.00260
8. Mobasheri, A. (2011a). Applications of proteomics to osteoarthritis, a musculoskeletal disease characterized by aging. Front. Physiol. 2:108. doi: 10.3389/fphys.2011.00108
9. Mobasheri, A. (2011b). Proteomic profiling and its applications to muscle aging and sarcopenia. Front. Physiol. 2:117. doi: 10.3389/fphys.2011.00117
10. Morley, J. E., Baumgartner, R. N., Roubenoff, R., Mayer, J., and Nair, K. S. (2001). Sarcopenia. J. Lab. Clin. Med. 137, 231-243.
11. Ohlendieck, K. (2011a). Proteomic profiling of fast-to-slow muscle transitions during aging. Front. Physiol. 2:105. doi: 10.3389/fphys.2011.00105
12. Ohlendieck, K. (2011b). Skeletal muscle proteomics: current approaches, technical challenges and emerging techniques. Skelet. Muscle 1:6. doi: 10.1186/2044-5040-1-6
13. Waters, D. L., Baumgartner, R. N., and Garry, P. J. (2000). Sarcopenia: current perspectives. J. Nutr. Health Aging 4, 133-139.