4.5 Article

Design of semi-degradable hydrogels based on poly(vinyl alcohol) and poly(lactic-co-glycolic acid) for cartilage tissue engineering

出版社

WILEY-BLACKWELL
DOI: 10.1002/term.356

关键词

hydrogel; poly(vinyl alcohol); poly(lactic-co-glycolic acid); cartilage; porosity; swelling behaviour

资金

  1. National Science Foundation

向作者/读者索取更多资源

Articular cartilage damage is a persistent challenge in biomaterials and tissue engineering. Poly(vinyl alcohol) (PVA) hydrogels have shown promise as implants, but their lack of integration with surrounding cartilage prevents their utility. We sought to combine the advantages of PVA hydrogels with poly(lactic-co-glycolic acid) (PLGA) scaffolds, which have been successful in facilitating the integration of neocartilage with surrounding tissue. Through a novel double-emulsion technique, PLGA microparticles and a high level of porosity were simultaneously incorporated into PVA hydrogels. The porosity, average pore size and swelling properties of the hydrogels were controlled by varying initial processing parameters, such as the relative amounts of PLGA and solvent. Average pore sizes were in the ranged 50-100 mu m. The PLGA microparticles degraded within the hydrogels over time in aqueous conditions, resulting in increases in porosity and pore size. After 4 weeks in cell culture, immature cartilage tissue filled many of the pores of the hydrogels that initially contained PLGA, and proteoglycan production was proportional to the amount of PLGA. In contrast, there was little cell attachment and no proteoglycan production in control hydrogels without PLGA. The compressive moduli of the hydrogels were similar to that of healthy cartilage and increased over time from 0.05-0.1 to 0.3-0.7 MPa. The generation of a hybrid cartilage-hydrogel construct using this technique may finally allow the integration of PVA hydrogels with surrounding cartilage. Copyright (C) 2010 John Wiley & Sons, Ltd.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据