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Biological characterization of woven fabric using two‐ and three‐dimensional cell cultures
Author(s) -
Moczulska M.,
Bitar M.,
Święszkowski W.,
Bruinink A.
Publication year - 2012
Publication title -
journal of biomedical materials research part a
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.849
H-Index - 150
eISSN - 1552-4965
pISSN - 1549-3296
DOI - 10.1002/jbm.a.34023
Subject(s) - materials science , scaffold , cell culture , biomedical engineering , biomaterial , cell adhesion , 3d cell culture , in vitro , population , in vivo , tissue engineering , adhesion , composite material , nanotechnology , biology , medicine , microbiology and biotechnology , biochemistry , genetics , environmental health
Abstract The integration and long‐term functional retention of tissue implants are both strongly linked to the implant material characteristics. As a first approach, the cytocompatibility and bioactivity of such materials are evaluated using in vitro ‐based cell culture models. Typically, in vitro bioactivity is assessed by seeding single cells onto the test material to evaluate certain parameters such as cell adhesion, survival, proliferation, and functional differentiation. Probably, due to the reduction from three dimensional (3D) toward the two dimensional (2D) situation the data obtained from 2D culture models falls short of predicting the in vivo behavior of the biomaterial in question. In this study, a three dimensional (3D) in vitro cell culture model was applied to evaluate the bioactivity of well characterized fiber‐based scaffolds using scaffold colonization as a bioactivity indicator. Cell behavior in this culture model was evaluated against a classical comparable, 2D cell culture system using polyethylene terephthalat and polyamide 6.6 fabrics. By using the 3D culture model, however, differences in cell population performance as a function of fiber diameter and mesh angle were evident. The use of 3D cell culture model clearly outperformed typical cell culture setup as means to evaluate cell population–scaffold interaction. © 2012 Wiley Periodicals, Inc. J Biomed Mater Res Part A:, 2012.