The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Reactive oxygen and nitrogen species as intracellular signals in skeletal muscle
Open accessAbstract
Abstract It is well established that contracting skeletal muscles produce free radicals. Given that radicals are known to play a prominent role in the pathogenesis of several diseases, the 1980s–90s dogma was that contraction‐induced radical production was detrimental to muscle because of oxidative damage to macromolecules within the fibre. In contrast to this early outlook, it is now clear that both reactive oxygen species (ROS) and reactive nitrogen species (RNS) play important roles in cell signalling pathways involved in muscle adaptation to exercise and the remodelling that occurs in skeletal muscle during periods of prolonged inactivity. This review will highlight two important redox sensitive signalling pathways that contribute to ROS and RNS‐induced skeletal muscle adaptation to endurance exercise. We begin with a historical overview of radical production in skeletal muscles followed by a discussion of the intracellular sites for ROS and RNS production in muscle fibres. We will then provide a synopsis of the redox‐sensitive NF‐κB and PGC‐1α signalling pathways that contribute to skeletal muscle adaptation in response to exercise training. We will conclude with a discussion of unanswered questions in redox signalling in skeletal muscle in the hope of promoting additional research interest in this field.
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Cites
Free Radicals in Biology and Medicine
Halliwell, B., & Gutteridge, J. M. C. (2015) · doi:10.1093/acprof:oso/9780198717478.001.0001 · Cited by 8,990
Transcriptional co-activator PGC-1α drives the formation of slow-twitch muscle fibres
Lin, J., Wu, H., Tarr, P. T., Zhang, C.-Y., Wu, Z., Boss, O., Michael, L. F., Puigserver, P., Isotani, E., Olson, E. N., et al. (2002) · Nature · doi:10.1038/nature00904 · Cited by 2,546
AMP-activated protein kinase (AMPK) action in skeletal muscle via direct phosphorylation of PGC-1α
Jäger, S., Handschin, C., St.-Pierre, J., & Spiegelman, B. M. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705070104 · Cited by 2,491
Free radicals and tissue damage produced by exercise
Davies, K. J. A., Quintanilha, A. T., Brooks, G. A., & Packer, L. (1982) · Biochemical and Biophysical Research Communications · doi:10.1016/s0006-291x(82)80124-1 · Cited by 1,739
Jones, D. P. (2006) · Antioxidants & Redox Signaling · doi:10.1089/ars.2006.8.1865 · Cited by 1,726
Topology of superoxide production from different sites in the mitochondrial electron transport chain
St-Pierre, J., Buckingham, J. A., Roebuck, S. J., & Brand, M. D. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m207217200 · Cited by 1,545
Biochemical Adaptations in Muscle
Holloszy, J. O. (1967) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)96046-1 · Cited by 1,517
Adaptations of skeletal muscle to exercise: rapid increase in the transcriptional coactivator PGC-1
Baar, K., Wende, A. R., Jones, T. E., Marison, M., Nolte, L. A., Chen, M., Kelly, D. P., & Holloszy, J. O. (2002) · The FASEB Journal · doi:10.1096/fj.02-0367com · Cited by 1,020
The Molecular Basis of Skeletal Muscle Atrophy
Jackman, R. W., & Kandarian, S. C. (2004) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00579.2003 · Cited by 1,008 · cited 2×
“Active NF-κB transcription factors can promote a wide range of cellular outcomes depending upon the cell type (Jackman & Kandarian, 2004).”
BackgroundBarja, G. (1999) · Journal of Bioenergetics and Biomembranes · doi:10.1023/a:1005427919188 · Cited by 494
Cited by
Exercise is the real polypill.
Fiuza-Luces, C., Garatachea, N., Berger, N. A., & Lucia, A. (2013) · Physiology · doi:10.1152/physiol.00019.2013 · Cited by 791
Exercise-induced oxidative stress: Friend or foe?
Powers, S. K., Deminice, R., Ozdemir, M., Yoshihara, T., Bomkamp, M. P., & Hyatt, H. (2020) · Journal of Sport and Health Science · doi:10.1016/j.jshs.2020.04.001 · Cited by 655
Self-citationA Path Toward Precision Medicine for Neuroinflammatory Mechanisms in Alzheimer's Disease
Hampel, H., Caraci, F., Cuello, A. C., Caruso, G., Nisticò, R., Corbo, M., Baldacci, F., Toschi, N., Garaci, F., Chiesa, P. A., et al. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.00456 · Cited by 360
The Role of Oxidative Stress in Skeletal Muscle Myogenesis and Muscle Disease
Lian, D., Chen, M.-M., Wu, H., Deng, S., & Hu, X. (2022) · Antioxidants · doi:10.3390/antiox11040755 · Cited by 232
“Keywords: ROS/RNS; oxidative stress; myogenesis; muscle atrophy; antioxidant therapy”
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Metadata
- Authors
- Powers, S. K., Talbert, E. E., & Adhihetty, P. J.
- Venue
- The Journal of Physiology
- Publisher
- Wiley
- Published
- 2011-04-27
- Volume
- 589
- Issue
- 9
- Pages
- 2129-2138
- ISSN
- 0022-3751 (ISSN-L)
- 1469-7793
- OpenAlex
- W2110363788
- Cited by
- 343
- References
- 16
- FWCI
- 29.10
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Powers, S. K., Talbert, E. E., & Adhihetty, P. J. (2011). Reactive oxygen and nitrogen species as intracellular signals in skeletal muscle. The Journal of Physiology. https://doi.org/10.1113/jphysiol.2010.201327
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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