Biological perspectives of delayed fracture healing

被引:96
|
作者
Hankenson, K. D. [1 ,2 ]
Zimmerman, G. [3 ]
Marcucio, R. [4 ]
机构
[1] Univ Penn, Sch Vet Med, New Bolton Ctr, Dept Clin Studies, Philadelphia, PA 19104 USA
[2] Univ Penn, Perelman Sch Med, Dept Orthopaed Surg, Philadelphia, PA 19104 USA
[3] Heidelberg Univ, Theresienkrankenhaus, Dept Orthoped & Trauma Surg, Mannheim, Germany
[4] Univ Calif San Francisco, Dept Orthopaed Surg, San Francisco, CA 94143 USA
关键词
Bone healing; Mediators; TGFbeta1; Vascularity; Non-union; HYPOXIA-INDUCIBLE FACTOR-1-ALPHA; BONE; NONUNION; REPAIR; DIFFERENTIATION; ANGIOGENESIS; TGF-BETA-1; OXYGEN; CELLS; MRI;
D O I
10.1016/j.injury.2014.04.003
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Fracture healing is a complex biological process that requires interaction among a series of different cell types. Maintaining the appropriate temporal progression and spatial pattern is essential to achieve robust healing. We can temporally assess the biological phases via gene expression, protein analysis, histologically, or non-invasively using biomarkers as well as imaging techniques. However, determining what leads to normal versus abnormal healing is more challenging. Since the ultimate outcome of fracture healing is to restore the original functions of bone, assessment of fracture healing should include not only monitoring the restoration of structure and mechanical function, but also an evaluation of the restoration of normal bone biology. Currently few non-invasive measures of biological factors of healing exist; however, recent studies that have correlated non-invasive measures with fracture healing outcome in humans have shown that serum TGFbeta1 levels appear to be an indicator of healing versus non-healing. In the future, developing additional measures to assess biological healing will improve the reliability and permit us to assess stages of fracture healing. Additionally, new functional imaging technologies could prove useful for better understanding both normal fracture healing and predicting dysfunctional healing in human patients. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:S8 / S15
页数:8
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