The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.
Inflammation and Skeletal Muscle Regeneration: Leave It to the Macrophages!
Open accessAbstract
Inflammation is usually considered as harmful; however, it is also necessary for tissue recovery after injury. Macrophages exert immune and nonimmune functions throughout this process. During skeletal muscle regeneration, they mount an inflammatory response while exerting trophic roles on muscle and mesenchymal stem cells. Proinflammatory macrophages shift to being anti-inflammatory, triggering the resolution of inflammation. Studies have highlighted that during this shift, a crosstalk ensues, integrating cues for resolution, efferocytosis, cellular metabolism, and signaling pathways. During the restorative phase, macrophages dampen inflammation while promoting stem cell differentiation, angiogenesis, and matrix remodeling. Since blunting the inflammatory phase can be detrimental for muscle regeneration, we suggest that rather than fighting inflammation, it should be allowed to operate and resolve, thus allowing for tissue recovery.
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Self-citation
Cited by
Control of satellite cell function in muscle regeneration and its disruption in ageing
Sousa-Victor, P., García-Prat, L., & Muñoz-Cánoves, P. (2022) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-021-00421-2 · Cited by 476
Tissue Stem Cells: Architects of Their Niches
Fuchs, E., & Blau, H. M. (2020) · Cell Stem Cell · doi:10.1016/j.stem.2020.09.011 · Cited by 332
Metadata
- Authors
- Chazaud, B.
- Venue
- Trends in Immunology
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 41
- Issue
- 6
- Pages
- 481-492
- ISSN
- 1471-4906 (ISSN-L)
- OpenAlex
- W3021867869
- Cited by
- 373
- References
- 92
- FWCI
- 3.72
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
