Artificial Bone Materials for Infected Bone Defects: Advances in Antimicrobial Functions

抗菌剂 材料科学 人造骨 生物医学工程 纳米技术 医学 微生物学 生物 复合材料
作者
Di Ying,Tianshou Zhang,Manlin Qi,Bing Han,Biao Dong
出处
期刊:ACS Biomaterials Science & Engineering [American Chemical Society]
卷期号:11 (4): 2008-2036 被引量:20
标识
DOI:10.1021/acsbiomaterials.4c01940
摘要

Infected bone defects, caused by bacterial contamination following disease or injury, result in the partial loss or destruction of bone tissue. Traditional bone transplantation and other clinical approaches often fail to address the therapeutic complexities of these conditions effectively. In recent years, advanced biomaterials have attracted significant attention for their potential to enhance treatment outcomes. This review explores the pathogenic mechanisms underlying infected bone defects, including biofilm formation and bacterial internalization into bone cells, which allow bacteria to evade the host immune system. To control bacterial infection and facilitate bone repair, we focus on antibacterial materials for bone regeneration. A detailed introduction is given on intrinsically antibacterial materials (e.g., metal alloys, oxide materials, carbon-based materials, hydroxyapatite, chitosan, and Sericin). The antibacterial functionality of bone repair materials can be enhanced through strategies such as the incorporation of antimicrobial ions, surface modification, and the combined use of multiple materials to treat infected bone defects. Key innovations discussed include biomaterials that release therapeutic agents, functional contact biomaterials, and bioresponsive materials, which collectively enhance antibacterial efficacy. Research on the clinical translation of antimicrobial bone materials has also facilitated their practical application in infection prevention and bone healing. In conclusion, advancements in biomaterials provide promising pathways for developing more biocompatible, effective, and personalized therapies to reconstruct infected bone defects.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
xuan发布了新的文献求助10
刚刚
DrJiang发布了新的文献求助10
1秒前
1秒前
李健应助xiaoyaozhuangzi采纳,获得10
1秒前
233relig发布了新的文献求助10
2秒前
3秒前
尘落埃发布了新的文献求助30
4秒前
芜湖发布了新的文献求助10
4秒前
111发布了新的文献求助10
6秒前
小南完成签到,获得积分10
6秒前
8秒前
gaming完成签到,获得积分10
9秒前
无花果应助芋泥小天才采纳,获得10
9秒前
10秒前
Owen应助tejing1158采纳,获得10
10秒前
233relig完成签到,获得积分10
10秒前
Lily发布了新的文献求助30
14秒前
ashore发布了新的文献求助30
14秒前
111完成签到,获得积分10
16秒前
Owen应助芜湖采纳,获得10
16秒前
17秒前
yunshan完成签到,获得积分10
17秒前
17秒前
17秒前
Chen完成签到 ,获得积分10
18秒前
ChenHaotian完成签到,获得积分10
21秒前
梁不正发布了新的文献求助10
21秒前
22秒前
王慧琳发布了新的文献求助10
23秒前
山谷发布了新的文献求助10
23秒前
龙龙发布了新的文献求助10
24秒前
包子完成签到 ,获得积分10
26秒前
27秒前
JUSTs0so发布了新的文献求助10
27秒前
云城发布了新的文献求助10
27秒前
000发布了新的文献求助10
27秒前
香蕉幻枫发布了新的文献求助10
29秒前
Ava应助19采纳,获得10
29秒前
30秒前
荔枝完成签到 ,获得积分10
31秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7583903
求助须知:如何正确求助?哪些是违规求助? 9162659
关于积分的说明 19607512
捐赠科研通 7165840
什么是DOI,文献DOI怎么找? 3266349
关于科研通互助平台的介绍 2431276
邀请新用户注册赠送积分活动 2257837