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Tendon and ligament regeneration and repair: Clinical relevance and developmental paradigm
Open accessAbstract
As dense connective tissues connecting bone to muscle and bone to bone, respectively, tendon and ligament (T/L) arise from the somitic mesoderm, originating in a recently discovered somitic compartment, the syndetome. Inductive signals from the adjacent sclerotome and myotome upregulate expression of Scleraxis, a key transcription factor for tenogenic and ligamentogenic differentiation. Understanding T/L development is critical to establishing a knowledge base for improving the healing and repair of T/L injuries, a high‐burden disease due to the intrinsically poor natural healing response. Current treatment of the three most common tendon injuries—tearing of the rotator cuff of the shoulder, flexor tendon of the hand, and Achilles tendon—include mostly surgical repair and/or conservative approaches, including biophysical modalities such as rehabilitation and cryotherapy. Unfortunately, the fibrovascular scar formed during healing possesses inferior mechanical and biochemical properties, resulting in compromised tissue functionality. Regenerative approaches have sought to augment the injured tissue with cells, scaffolds, bioactive agents, and mechanical stimulation to improve the natural healing response. The key challenges in restoring full T/L function following injury include optimal combination of these biological agents as well as their delivery to the injury site. A greater understanding of the molecular mechanisms involved in T/L development and natural healing, coupled with the capability of producing complex biomaterials to deliver multiple biofactors with high spatiotemporal resolution and specificity, should lead to regenerative procedures that more closely recapitulate T/L morphogenesis, thereby offering future patients the prospect of T/L regeneration, as opposed to simple tissue repair. Text. Birth Defects Research (Part C) 99:203–222, 2013. © 2013 Wiley Periodicals, Inc.
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Lee, J., Ihle, S. J., Pellegrino, G. S., Kim, H., Yea, J., Jeon, C.-Y., Son, H.-C., Jin, C., Eberli, D., Schmid, F., et al. (2021) · Nature Electronics · doi:10.1038/s41928-021-00557-1 · Cited by 253
Decellularization for the retention of tissue niches
Moffat, D., Ye, K., & Jin, S. (2022) · Journal of Tissue Engineering · doi:10.1177/20417314221101151 · Cited by 152
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“This is followed by the remodeling phase, which may last up to 1 year, and is characterized by the gradual replacement of disoriented COL type III from organized COL type I that creates a more competent tissue construct [10].”
Background
Metadata
- Authors
- Yang, G., Rothrauff, B. B., & Tuan, R. S.
- Venue
- Birth Defects Research Part C: Embryo Today: Reviews
- Publisher
- Wiley
- Published
- 2013-09
- Volume
- 99
- Issue
- 3
- Pages
- 203-222
- ISSN
- 1542-975X (ISSN-L)
- 1542-9768
- OpenAlex
- W2120212876
- Cited by
- 469
- References
- 189
- FWCI
- 14.78
- Type
- journal article
- Language
- en
- Open access
- green
- Funders
- Commonwealth of Pennsylvania Department of Health ((SAP4100050913), NIH (T32-EB001026, 1R01 AR062947-01A1))
- U.S. Department of Defense ((W81XWH-11-2-0143))
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.
What counts as a claim ›How we measure confidence ›How we check this ›
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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.