Suppr超能文献

智能材料:口腔颌面骨缺损修复的创新策略

Smart materials: innovative strategies for oral-maxillofacial bone defects repair.

作者信息

Yu Yilin, Liu Zhenyuan, Qin Xu, Song Ke, Xu Lianyi

机构信息

Department of Stomatology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

出版信息

Front Bioeng Biotechnol. 2025 Aug 26;13:1629292. doi: 10.3389/fbioe.2025.1629292. eCollection 2025.

Abstract

Oral-maxillofacial bone defects complicated by tumors, infections, or other bone diseases pose a significant clinical challenge. Traditional tissue-engineered bone substitute still has limitations regarding its three elements that resulting in unsatisfactory regeneration capability. Smart materials are a cutting-edge type of functional materials that can sense and respond to a wide range of environmental conditions or stimuli, including optical, electrical, magnetic, mechanical, thermal, and chemical signals. According to the type of stimulus to which the materials respond, they can be classified into externally stimulated materials and internally stimulated materials. This review, based on the latest advances in smart materials for bone defect repair, summarizes the different stimulus-responsive strategies of smart materials and the materials under each strategy. It also discusses the classic biomedical applications of these materials in the repair of oral-maxillofacial bone injuries in recent studies, compares the advantages and disadvantages of different strategies, and discusses the current challenges and future prospects of smart materials.

摘要

由肿瘤、感染或其他骨疾病引起的口腔颌面骨缺损是一项重大的临床挑战。传统的组织工程骨替代物在其三要素方面仍存在局限性,导致再生能力不尽人意。智能材料是一种前沿的功能材料,能够感知并响应广泛的环境条件或刺激,包括光、电、磁、机械、热和化学信号。根据材料响应的刺激类型,它们可分为外部刺激材料和内部刺激材料。本综述基于用于骨缺损修复的智能材料的最新进展,总结了智能材料不同的刺激响应策略以及每种策略下的材料。还讨论了这些材料在近期研究中修复口腔颌面骨损伤的经典生物医学应用,比较了不同策略的优缺点,并探讨了智能材料当前面临的挑战和未来前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c295/12417389/2edc914200af/fbioe-13-1629292-g001.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