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Fracture healing: mechanisms and interventions

Open access
Einhorn, Thomas A., Gerstenfeld, Louis C.·2015·Nature Reviews Rheumatology

Abstract

Fractures are the most common large-organ, traumatic injuries to humans. The repair of bone fractures is a postnatal regenerative process that recapitulates many of the ontological events of embryonic skeletal development. Although fracture repair usually restores the damaged skeletal organ to its pre-injury cellular composition, structure and biomechanical function, about 10% of fractures will not heal normally. This article reviews the developmental progression of fracture healing at the tissue, cellular and molecular levels. Innate and adaptive immune processes are discussed as a component of the injury response, as are environmental factors, such as the extent of injury to the bone and surrounding tissue, fixation and the contribution of vascular tissues. We also present strategies for fracture treatment that have been tested in animal models and in clinical trials or case series. The biophysical and biological basis of the molecular actions of various therapeutic approaches, including recombinant human bone morphogenetic proteins and parathyroid hormone therapy, are also discussed.

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Crossref · 10.1038/nrrheum.2014.164

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Metadata

Authors
Einhorn, T. A., & Gerstenfeld, L. C.
Venue
Nature Reviews Rheumatology
Published
2014-09-30
Volume
11
Issue
1
Pages
45-54
ISSN
  • 1759-4790 (ISSN-L)
  • 1759-4804
OpenAlex
W1996361385
Cited by
1,807
References
7
FWCI
7.24
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Fracture healing: mechanisms and interventions. https://app.cochat.ai/papers/10.1038/nrrheum.2014.164
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Einhorn, T. A., & Gerstenfeld, L. C. (2015). Fracture healing: mechanisms and interventions. Nature Reviews Rheumatology. https://doi.org/10.1038/nrrheum.2014.164

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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.