Theoretical modeling approach for adsorption of fibronectin on the nanotopographical implants.

Coulomb’s force Nanotopography bone implant interface charge density protein adsorption

Journal

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
ISSN: 2041-3033
Titre abrégé: Proc Inst Mech Eng H
Pays: England
ID NLM: 8908934

Informations de publication

Date de publication:
Sep 2023
Historique:
medline: 12 9 2023
pubmed: 22 8 2023
entrez: 22 8 2023
Statut: ppublish

Résumé

The success of orthopedic implants depends on the sufficient integration between tissue and implant, which is influenced by the cellular responses to their microenvironment. The conformation of adsorbed extracellular matrix is crucial for cellular behavior instruction via manipulating the physiochemical features of materials. To investigate the electrostatic adsorption mechanism of fibronectin on nanotopographies, a theoretical model was established to determine surface charge density and Coulomb's force of nanotopography - fibronectin interactions using a Laplace equation satisfying the boundary conditions. Surface charge density distribution of nanotopographies with multiple random fibronectin was simulated based on random number and Monte Carlo hypothesis. The surface charge density on the nanotopographies was compared to the experimental measurements, to verify the effectiveness of the theoretical model. The model was implemented to calculate the Coulomb force generated by nanotopographies to compare the fibronectin adsorption. This model has revealed the multiple random quantitative fibronectin electrostatic adsorption to the nanotopographies, which is beneficial for orthopedic implant surface design.

Identifiants

pubmed: 37606321
doi: 10.1177/09544119231188297
doi:

Substances chimiques

Fibronectins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1102-1115

Auteurs

Xiangsheng Gao (X)

Beijing Key Laboratory of Advanced Manufacturing Technology, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, China.

Yuhang Zhao (Y)

Beijing Key Laboratory of Advanced Manufacturing Technology, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, China.

Min Wang (M)

Beijing Key Laboratory of Advanced Manufacturing Technology, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, China.

Chaozong Liu (C)

Institute of Orthopaedic & Musculoskeletal Science, Division of Surgery & Interventional Science, University College London, London, UK.

Jiajun Luo (J)

Centre for the Cellular Microenvironment, University of Glasgow, Glasgow, UK.

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Classifications MeSH