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AMPK in skeletal muscle function and metabolism
Open accessAbstract
Skeletal muscle possesses a remarkable ability to adapt to various physiologic conditions. AMPK is a sensor of intracellular energy status that maintains energy stores by fine‐tuning anabolic and catabolic pathways. AMPK's role as an energy sensor is particularly critical in tissues displaying highly changeable energy turnover. Due to the drastic changes in energy demand that occur between the resting and exercising state, skeletal muscle is one such tissue. Here, we review the complex regulation of AMPK in skeletal muscle and its consequences on metabolism ( e.g ., substrate uptake, oxidation, and storage as well as mitochondrial function of skeletal muscle fibers). We focus on the role of AMPK in skeletal muscle during exercise and in exercise recovery. We also address adaptations to exercise training, including skeletal muscle plasticity, highlighting novel concepts and future perspectives that need to be investigated. Furthermore, we discuss the possible role of AMPK as a therapeutic target as well as different AMPK activators and their potential for future drug development.— Kjøbsted, R., Hingst, J. R., Fentz, J., Foretz, M., Sanz, M.‐N., Pehmøller, C., Shum, M., Marette, A., Mounier, R., Treebak, J. T., Wojtaszewski, J. F. P., Viollet, B., Lantier, L. AMPK in skeletal muscle function and metabolism. FASEB J. 32, 1741–1777 (2018). www.fasebj.org
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BackgroundThe role of ampk in controlling metabolism and mitochondrial biogenesis during exercise
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Skeletal muscle dysfunction in muscle-specific LKB1 knockout mice.
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Self-citation
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Skeletal Muscle as Potential Central Link between Sarcopenia and Immune Senescence
Nelke, C., Dziewas, R., Minnerup, J., Meuth, S. G., & Ruck, T. (2019) · eBioMedicine · doi:10.1016/j.ebiom.2019.10.034 · Cited by 437
Time of exercise specifies the impact on muscle metabolic pathways and systemic energy homeostasis
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Self-citationMetformin as an Anticancer Agent
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Effects of IGF-1 isoforms on muscle growth and sarcopenia
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Metadata
- Authors
- Kjøbsted, R., Hingst, J. R., Fentz, J., Foretz, M., Sanz, M., Pehmøller, C., Shum, M., Marette, A., Mounier, R., Treebak, J. T., Wojtaszewski, J. F. P., Viollet, B., & Lantier, L.
- Venue
- The FASEB Journal
- Publisher
- Wiley
- Published
- 2018-01-05
- Volume
- 32
- Issue
- 4
- Pages
- 1741-1777
- ISSN
- 0892-6638 (ISSN-L)
- 1530-6860
- OpenAlex
- W2771593201
- Cited by
- 496
- References
- 127
- FWCI
- 12.13
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.