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An Empirical Model Linking Physico-Chemical Biomaterial Characteristics to Intra-Oral Bone Formation.
Sadeghian Dehkord, Ehsan; Kerckhofs, Greet; Compère, Philippe; Lambert, France; Geris, Liesbet.
Afiliação
  • Sadeghian Dehkord E; GIGA In Silico Medicine, Biomechanics Research Unit (Biomech), University of Liège, 4000 Liège, Belgium.
  • Kerckhofs G; Prometheus, Division for Skeletal Tissue Engineering, Katholieke Universiteit Leuven, 3000 Leuven, Belgium.
  • Compère P; Prometheus, Division for Skeletal Tissue Engineering, Katholieke Universiteit Leuven, 3000 Leuven, Belgium.
  • Lambert F; Biomechanics Laboratory, Institute of Mechanics, Materials, and Civil Engineering (iMMC), Université Catholique Louvain, 1348 Louvain-la-Neuve, Belgium.
  • Geris L; Institute of Experimental and Clinical Research (IREC), Université Catholique Louvain, 1200 Woluwé-Saint-Lambert, Belgium.
J Funct Biomater ; 14(7)2023 Jul 22.
Article em En | MEDLINE | ID: mdl-37504883
Facial trauma, bone resection due to cancer, periodontal diseases, and bone atrophy following tooth extraction often leads to alveolar bone defects that require bone regeneration in order to restore dental function. Guided bone regeneration using synthetic biomaterials has been suggested as an alternative approach to autologous bone grafts. The efficiency of bone substitute materials seems to be influenced by their physico-chemical characteristics; however, the debate is still ongoing on what constitutes optimal biomaterial characteristics. The purpose of this study was to develop an empirical model allowing the assessment of the bone regeneration potential of new biomaterials on the basis of their physico-chemical characteristics, potentially giving directions for the design of a new generation of dental biomaterials. A quantitative data set was built composed of physico-chemical characteristics of seven commercially available intra-oral bone biomaterials and their in vivo response. This empirical model allowed the identification of the construct parameters driving optimized bone formation. The presented model provides a better understanding of the influence of driving biomaterial properties in the bone healing process and can be used as a tool to design bone biomaterials with a more controlled and custom-made composition and structure, thereby facilitating and improving the clinical translation.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Funct Biomater Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Bélgica

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Funct Biomater Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Bélgica