A preclinical large-animal model for the assessment of critical-size load-bearing bone defect reconstruction
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Saifzadeh, Siamak
Savi, Flavia Medeiros
Dlaska, Constantin E
Berner, Arne
Henkel, Jan
Reichert, Johannes C
Wullschleger, Martin
Ren, Jiongyu
Cipitria, Amaia
McGovern, Jacqui A
Steck, Roland
Wagels, Michael
Woodruff, Maria Ann
Schuetz, Michael A
Hutmacher, Dietmar W
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Abstract
Critical-size bone defects, which require large-volume tissue reconstruction, remain a clinical challenge. Bone engineering has the potential to provide new treatment concepts, yet clinical translation requires anatomically and physiologically relevant preclinical models. The ovine critical-size long-bone defect model has been validated in numerous studies as a preclinical tool for evaluating both conventional and novel bone-engineering concepts. With sufficient training and experience in large-animal studies, it is a technically feasible procedure with a high level of reproducibility when appropriate preoperative and postoperative management protocols are followed. The model can be established by following a procedure that includes the following stages: (i) preoperative planning and preparation, (ii) the surgical approach, (iii) postoperative management, and (iv) postmortem analysis. Using this model, full results for peer-reviewed publication can be attained within 2 years. In this protocol, we comprehensively describe how to establish proficiency using the preclinical model for the evaluation of a range of bone defect reconstruction options.
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Nature Protocols
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15
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3
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Chemical sciences
Biological sciences
Biomedical and clinical sciences
Science & Technology
Life Sciences & Biomedicine
Biochemical Research Methods
Biochemistry & Molecular Biology
OVINE MODEL
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Sparks, DS; Saifzadeh, S; Savi, FM; Dlaska, CE; Berner, A; Henkel, J; Reichert, JC; Wullschleger, M; Ren, J; Cipitria, A; McGovern, JA; Steck, R; Wagels, M; Woodruff, MA; Schuetz, MA; Hutmacher, DW, A preclinical large-animal model for the assessment of critical-size load-bearing bone defect reconstruction, Nature Protocols, 2020, 15 (3), pp. 877-924