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Formulation Changes Affect Material Properties and Cell Behavior in HA-Based Hydrogels
Author(s) -
Thomas W Lawyer,
Kristen McIntosh,
Cristian Clavijo,
Lydia Potekhina,
Brenda K. Mann
Publication year - 2012
Publication title -
international journal of cell biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 53
eISSN - 1687-8884
pISSN - 1687-8876
DOI - 10.1155/2012/737421
Subject(s) - self healing hydrogels , extracellular matrix , scaffold , hyaluronic acid , mesenchymal stem cell , gelatin , fibroblast , tissue engineering , matrix (chemical analysis) , biomedical engineering , chemistry , cell , biophysics , microbiology and biotechnology , materials science , biochemistry , in vitro , biology , medicine , anatomy , polymer chemistry , chromatography
To develop and optimize new scaffold materials for tissue engineering applications, it is important to understand how changes to the scaffold affect the cells that will interact with that scaffold. In this study, we used a hyaluronic acid- (HA-) based hydrogel as a synthetic extracellular matrix, containing modified HA (CMHA-S), modified gelatin (Gtn-S), and a crosslinker (PEGda). By varying the concentrations of these components, we were able to change the gelation time, enzymatic degradation, and compressive modulus of the hydrogel. These changes also affected fibroblast spreading within the hydrogels and differentially affected the proliferation and metabolic activity of fibroblasts and mesenchymal stem cells (MSCs). In particular, PEGda concentration had the greatest influence on gelation time, compressive modulus, and cell spreading. MSCs appeared to require a longer period of adjustment to the new microenvironment of the hydrogels than fibroblasts. Fibroblasts were able to proliferate in all formulations over the course of two weeks, but MSCs did not. Metabolic activity changed for each cell type during the two weeks depending on the formulation. These results highlight the importance of determining the effect of matrix composition changes on a particular cell type of interest in order to optimize the formulation for a given application.

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