Suppr超能文献

纳米纤维支架结构选择性地增强蛋白质吸附,有助于细胞附着。

Nano-fibrous scaffolding architecture selectively enhances protein adsorption contributing to cell attachment.

作者信息

Woo Kyung Mi, Chen Victor J, Ma Peter X

机构信息

Department of Biologic and Materials Sciences, 1011 North University Avenue, Room 2211, The University of Michigan, Ann Arbor, Michigan 48109-1078, USA.

出版信息

J Biomed Mater Res A. 2003 Nov 1;67(2):531-7. doi: 10.1002/jbm.a.10098.

Abstract

Tissue engineering aims at resolving problems such as donor shortage and immune rejection faced by transplantation. Scaffolds (artificial extracellular matrices) have critical roles in tissue engineering. Recently, we developed nano-fibrous poly(L-lactic acid) scaffolds under the hypothesis that synthetic nano-fibrous scaffolding, mimicking the structure of natural collagen fibers, could create a more favorable microenvironment for cells. This is the first report that the nano-fibrous architecture built in three-dimensional scaffolds improved the features of protein adsorption, which mediates cell interactions with scaffolds. Scaffolds with nano-fibrous pore walls adsorbed four times more serum proteins than scaffolds with solid pore walls. More interestingly, the nano-fibrous architecture selectively enhanced protein adsorption including fibronectin and vitronectin, even though both scaffolds were made from the same poly(L-lactic acid) material. Furthermore, nano-fibrous scaffolds also allowed >1.7 times of osteoblastic cell attachment than scaffolds with solid pore walls. These results demonstrate that the biomimetic nano-fibrous architecture serves as superior scaffolding for tissue engineering.

摘要

组织工程旨在解决移植面临的供体短缺和免疫排斥等问题。支架(人工细胞外基质)在组织工程中起着关键作用。最近,我们在这样的假设下开发了纳米纤维聚(L-乳酸)支架,即合成纳米纤维支架模仿天然胶原纤维的结构,可以为细胞创造更有利的微环境。这是第一份关于三维支架中构建的纳米纤维结构改善了蛋白质吸附特性的报告,蛋白质吸附介导细胞与支架的相互作用。具有纳米纤维孔壁的支架比具有实心孔壁的支架吸附的血清蛋白多四倍。更有趣的是,尽管两种支架都由相同的聚(L-乳酸)材料制成,但纳米纤维结构选择性地增强了包括纤连蛋白和玻连蛋白在内的蛋白质吸附。此外,纳米纤维支架允许成骨细胞附着的数量比具有实心孔壁的支架多1.7倍以上。这些结果表明,仿生纳米纤维结构是组织工程的优质支架。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验