Zhang Tianrui, Zhang Qianyi, Wei Jingqian, Dai Quanbin, Muratovic Dzenita, Zhang Wenjie, Diwan Ashish, Gu Zi
School of Chemical Engineering, University of New South Wales, Sydney, 2052, NSW, Australia.
Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, College of Pharmacy, Jiangsu Ocean University, Lianyungang, 222005, China.
Mater Today Bio. 2025 Jun 6;33:101952. doi: 10.1016/j.mtbio.2025.101952. eCollection 2025 Aug.
Osteoarthritis (OA) is the most common type of arthritis and affects patients with chronic pain, while imposing a heavy burden on public health systems worldwide. Current imaging technologies such as X-ray, MRI, and CT assist the diagnosis and monitoring of OA by providing anatomical pathological information. However, given the complex nature and progression of OA, conventional imaging technologies are limited in the molecular pathological information they are able to present and identify from the various health conditions of OA patients. Thus, nanoparticle-assisted imaging is promising to revolutionize the diagnosis and monitoring of OA, improving the sensitivity and specificity of imaging by enhancing the detection of key biomarkers such as proteoglycans, glycosaminoglycans, type II and X collagen, and inflammatory factors. In this review, the anatomical and pathological characteristics of OA, existing imaging modalities for OA diagnosis, and recent advances in the development of functionalized nanoparticles for molecular imaging of OA are summarized, highlighting the specific roles of nanoparticles in targeting biomarker molecules in different stages of OA progression. Additionally, the combined fields of artificial intelligence (AI) and imaging technology are discussed, followed by an overview of current challenges and future development of nanoparticles for molecular imaging of OA.
骨关节炎(OA)是最常见的关节炎类型,会影响患有慢性疼痛的患者,同时给全球公共卫生系统带来沉重负担。当前的成像技术,如X射线、磁共振成像(MRI)和计算机断层扫描(CT),通过提供解剖病理学信息来辅助骨关节炎的诊断和监测。然而,鉴于骨关节炎的复杂性质和进展情况,传统成像技术在呈现和识别骨关节炎患者各种健康状况下的分子病理学信息方面存在局限性。因此,纳米颗粒辅助成像有望彻底改变骨关节炎的诊断和监测方式,通过增强对关键生物标志物(如蛋白聚糖、糖胺聚糖、II型和X型胶原蛋白以及炎症因子)的检测来提高成像的敏感性和特异性。在本综述中,总结了骨关节炎的解剖学和病理学特征、现有的骨关节炎诊断成像方式以及用于骨关节炎分子成像的功能化纳米颗粒开发的最新进展,突出了纳米颗粒在骨关节炎进展不同阶段靶向生物标志物分子方面的具体作用。此外,还讨论了人工智能(AI)与成像技术的结合领域,随后概述了用于骨关节炎分子成像的纳米颗粒当前面临的挑战和未来发展。