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Licensed Unlicensed Requires Authentication Published by De Gruyter March 23, 2021

Simvastatin-loaded graphene oxide embedded in polycaprolactone-polyurethane nanofibers for bone tissue engineering applications

  • Hessam Rezaei ORCID logo , Mostafa Shahrezaee EMAIL logo , Marziyeh Jalali Monfared , Sonia Fathi Karkan ORCID logo and Robabehbeygom Ghafelehbashi

Abstract

Here, the role of simvastatin-loaded graphene oxide embedded in polyurethane-polycaprolactone nanofibers for bone tissue engineering has been investigated. The scaffolds were physicochemically and mechanically characterized, and obtained polymeric composites were used as MG-63 cell culture scaffolds. The addition of graphene oxide-simvastatin to nanofibers generates a homogeneous and uniform microstructure as well as a reduction in fiber diameter. Results of water-scaffolds interaction indicated higher hydrophilicity and absorption capacity as a function of graphene oxide addition. Scaffolds’ mechanical properties and physical stability improved after the addition of graphene oxide. Inducing bioactivity after the addition of simvastatin-loaded graphene oxide terminated its capability for hard tissue engineering application, evidenced by microscopy images and phase characterization. Nanofibrous scaffolds could act as a sustained drug carrier. Using the optimal concentration of graphene oxide-simvastatin is necessary to avoid toxic effects on tissue. Results show that the scaffolds are biocompatible to the MG-63 cell and support alkaline phosphatase activity, illustrating their potential use in bone tissue engineering. Briefly, graphene-simvastatin-incorporated in polymeric nanofibers was developed to increase bioactive components’ synergistic effect to induce more bioactivity and improve physical and mechanical properties as well as in vitro interactions for better results in bone repair.


Corresponding author: Mostafa Shahrezaee, Department of Orthopedic Surgery, School of Medicine, AJA University of Medical Sciences, Tehran, Iran, E-mail:

  1. Author contributions: HR, SF, and RG did ideas and evolution of overarching goals, development, and creation of models conducting an investigation process, especially data collection and analysis, presentation of the research work, and preparation of the manuscript, cooperated in data collection and analysis procedures. Leadership responsibility for the activity planning and execution, including mentorship external to the core team leading to this publication, were taken by MS and MJ.

  2. Research funding: None declared.

  3. Conflict of interest statement: The authors whose names are listed certify that they have NO affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers’ bureaus; membership, employ-ment, consultancies, stock ownership, or other equity interest; and expert testimony or patent-licensing arrangements), or nonfinancial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript.

  4. Data availability statement: The datasets generated for this study are available on request from the corresponding author.

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Received: 2020-11-03
Accepted: 2021-02-19
Published Online: 2021-03-23
Published in Print: 2021-05-26

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