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REVIEW article

Front. Med.

Sec. Translational Medicine

Volume 12 - 2025 | doi: 10.3389/fmed.2025.1651659

Advanced nanoparticles for osteoarthritis:a review

Provisionally accepted
Xingxiong  JiangXingxiong Jiang1*Feng  LinFeng Lin1Kang  YangKang Yang1Yong  YuanYong Yuan1Li-Min  GuoLi-Min Guo1Wen-Dong  LuoWen-Dong Luo1Chong-Hua  DaiChong-Hua Dai2Feng-Xiang  XiaFeng-Xiang Xia3
  • 1The Second Affiliated Hospital of Kunming Medical University, Kunming, China
  • 2The First People's Hospital of Luliang County, qujing, China
  • 3The First People's Hospital of Xuanwei City, qujing, China

The final, formatted version of the article will be published soon.

Osteoarthritis(OA)is the most common chronic joint disease, characterized by whole-joint degenerative disease with cartilage degeneration as the primary pathogenesis. It is also a major cause of disability and increased social costs, particularly among the elderly. With the aging population and increasing obesity rates, the incidence of OA increases annually. The main symptoms include joint pain and loss of joint function, which severely impact the quality of life and daily activities of patients. Despite numerous treatments attempted over the past few decades, the long-term treatments have been disappointing. The main challenge lies in the very low bioavailability of drugs within the joint cavity, Therefore, the development of a therapeutic approach with cartilage targeting and efficient bioavailability is the key point to address OA. This paper summarizes the latest research on the use of PLGA in drug delivery for the treatment of OA, which provides an important foundation and a more comprehensive perspective for the subsequent drug treatment of joint diseases. We hope this will lead to more accurate and effective treatment plans for arthritis patients and promote the continuous advancement of the medical field.

Keywords: OA, PLGA, nanoparticle, drug, Cartilage

Received: 22 Jun 2025; Accepted: 29 Sep 2025.

Copyright: © 2025 Jiang, Lin, Yang, Yuan, Guo, Luo, Dai and Xia. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Xingxiong Jiang, jxx650011@163.com

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