Suppr超能文献

绵羊前胃基质的进一步结构表征及用于软组织修复的多层细胞外基质复合材料。

Further structural characterization of ovine forestomach matrix and multi-layered extracellular matrix composites for soft tissue repair.

机构信息

Department of Research and Clinical Development, Aroa Biosurgery Limited, Auckland, New Zealand.

Auckland Bioengineering Institute, 428614The University of Auckland, Auckland, New Zealand.

出版信息

J Biomater Appl. 2022 Jan;36(6):996-1010. doi: 10.1177/08853282211045770. Epub 2021 Nov 7.

Abstract

Decellularized extracellular matrix (dECM)-based biomaterials are of great clinical utility in soft tissue repair applications due to their regenerative properties. Multi-layered dECM devices have been developed for clinical indications where additional thickness and biomechanical performance are required. However, traditional approaches to the fabrication of multi-layered dECM devices introduce additional laminating materials or chemical modifications of the dECM that may impair the biological functionality of the material. Using an established dECM biomaterial, ovine forestomach matrix, a novel method for the fabrication of multi-layered dECM constructs has been developed, where layers are bonded via a physical interlocking process without the need for additional bonding materials or detrimental chemical modification of the dECM. The versatility of the interlocking process has been demonstrated by incorporating a layer of hyaluronic acid to create a composite material with additional biological functionality. Interlocked composite devices including hyaluronic acid showed improved bioactivity and moisture retention properties.

摘要

脱细胞细胞外基质(dECM)基生物材料因其再生特性,在软组织修复应用中具有重要的临床应用价值。已经开发出多层 dECM 装置,用于需要额外厚度和生物力学性能的临床适应症。然而,传统的多层 dECM 装置制造方法引入了额外的层压材料或 dECM 的化学修饰,这可能会损害材料的生物学功能。本研究使用一种成熟的 dECM 生物材料,即绵羊网胃基质,开发了一种制造多层 dECM 结构的新方法,其中各层通过物理互锁过程结合,而无需额外的结合材料或对 dECM 进行有害的化学修饰。互锁过程的多功能性已通过加入一层透明质酸来证明,从而制造出具有额外生物学功能的复合材料。包含透明质酸的互锁复合装置显示出改善的生物活性和保水性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d208/8721687/80d8063296af/10.1177_08853282211045770-fig1.jpg

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