Intelligent Nanomaterials Design for Osteoarthritis Managements.

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Zhihao Chen, Xuan Zheng, Zhengzhi Mu, Weijie Lu, Haiyuan Zhang, Jiao Yan
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引用次数: 0

Abstract

Osteoarthritis (OA) is the most prevalent degenerative joint disorder, characterized by progressive joint degradation, pain, and diminished mobility, all of which collectively impair patients' quality of life and escalate healthcare expenditures. Current treatment options are often inadequate due to limited efficacy, adverse side effects, and temporary symptom relief, underscoring the urgent need for more effective therapeutic strategies. Recent advancements in nanomaterials and nanomedicines offer promising solutions by improving drug bioavailability, reducing side effects and providing targeted therapeutic benefits. This review critically examines the pathogenesis of OA, highlights the limitations of existing treatments, and explores the latest innovations in intelligent nanomaterials design for OA therapy, with an emphasis on their engineered properties, therapeutic mechanisms, and translational potential in clinical application. By compiling recent findings, this work aims to inspire further exploration and innovation in nanomedicine, ultimately advancing the development of more effective and personalized OA therapies.

智能纳米材料设计用于骨关节炎治疗。
骨关节炎(OA)是最常见的退行性关节疾病,其特征是进行性关节退化、疼痛和活动能力下降,所有这些共同损害患者的生活质量并增加医疗保健支出。目前的治疗方案往往由于有限的疗效、不良副作用和暂时的症状缓解而不足,强调迫切需要更有效的治疗策略。纳米材料和纳米药物的最新进展通过提高药物生物利用度、减少副作用和提供靶向治疗效益提供了有希望的解决方案。本文综述了OA的发病机制,强调了现有治疗方法的局限性,并探讨了用于OA治疗的智能纳米材料设计的最新创新,重点介绍了它们的工程特性、治疗机制和临床应用中的转化潜力。通过汇总最新发现,本工作旨在激发纳米医学的进一步探索和创新,最终推动更有效和个性化OA治疗的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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