Mechanoregulation modeling of bone healing in realistic fracture geometries.

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Abstract

[Indexed for MEDLINE] 13. J Clin Med. 2024 Apr 17;13(8):2333. doi: 10.3390/jcm13082333. Association between Bone Turnover Markers and Fracture Healing in Long Bone Non-Union: A Systematic Review. Perut F(1), Roncuzzi L(1), Gómez-Barrena E(2)(3), Baldini N(1)(4). Author information: (1)Biomedical Science and Technologies and Nanobiotechnology Laboratory, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy. (2)Department of Orthopedic Surgery and Traumatology, Hospital Universitario La Paz-IdiPAZ, 28046 Madrid, Spain. (3)Facultad de Medicina, Universidad Autónoma de Madrid, 28029 Madrid, Spain. (4)Department of Biomedical and Neuromotor Sciences, University of Bologna, 40136 Bologna, Italy. Background: Fracture healing is a very complex and well-orchestrated regenerative process involving many cell types and molecular pathways. Despite the high efficiency of this process, unsatisfying healing outcomes, such as non-union, occur for approximately 5-10% of long bone fractures. Although there is an obvious need to identify markers to monitor the healing process and to predict a potential failure in callus formation to heal the fracture, circulating bone turnover markers' (BTMs) utility as biomarkers in association with radiographic and clinical examination still lacks evidence so far. Methods: A systematic review on the association between BTMs changes and fracture healing in long bone non-union was performed following PRISMA guidelines. The research papers were identified via the PubMed, Cochrane, Cinahl, Web of Science, Scopus, and Embase databases. Studies in which the failure of fracture healing was associated with osteoporosis or genetic disorders were not included. Results: A total of 172 studies were collected and, given the inclusion criteria, 14 manuscripts were included in this review. Changes in circulating BTMs levels were detected during the healing process and across groups (healed vs. non-union patients and healthy vs. patients with non-union). However, we found high heterogeneity in patients' characteristics (fracture site, gender, and age) and in sample scheduling, which made it impossible to perform a meta-analysis. Conclusions: Clinical findings and radiographic features remain the two important components of non-union diagnosis so far. We suggest improving blood sample standardization and clinical data collection in future research to lay the foundations for the effective use of BTMs as tools for diagnosing non-union. DOI: 10.3390/jcm13082333 PMCID: PMC11051214