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基于血清表面增强拉曼光谱的膝骨关节炎辅助诊断技术及临床疗效评价

An auxiliary diagnostic technology and clinical efficacy evaluation in knee osteoarthritis based on serum surface-enhanced Raman spectroscopy.

作者信息

Yu Yun, Chen Weiwei, Wang Lili, Zhu Zaishi, Zhang Zhongping, Chen Qin, Huang Hao, Li Xihai

机构信息

College of Integrative Medicine, Laboratory of Pathophysiology, Key Laboratory of Integrative Medicine on Chronic Diseases (Fujian Province University), Synthesized Laboratory of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China.

Department of Medical Technology, Fujian Health College, Fuzhou 350101, China.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2023 Aug 5;296:122654. doi: 10.1016/j.saa.2023.122654. Epub 2023 Mar 21.

DOI:10.1016/j.saa.2023.122654
PMID:37019002
Abstract

Knee osteoarthritis (KOA), a progressive joint disease, is a leading source of chronic pain and disability, and its diagnosis mainly depends on medical imaging findings and clinical symptoms. This study aimed to explore an auxiliary diagnostic technology and clinical efficacy evaluation in KOA based on surface-enhanced Raman scattering (SERS). Three sequential experiments were performed: 1) preliminary observation of the therapeutic effects of icariin (ICA); 2) using serum SERS spectra obtained from rat models belonging to sham group, KOA group and icariin treatment group, respectively, to analyze the KOA-related expression profiles; 3) employing partial least squares (PLS) and support vector machines (SVM) algorithms to establish KOA diagnosis model. Pathological changes verified the efficacy of icariin in KOA. Raman peak assignment combined with spectral difference analysis reflected the biochemical changes associated with KOA, including amino acid, carbohydrates and collagen. ICA intervention significantly reversed these changes, although full recovery could not be achieved. Based on PLS-SVM approach, the sensitivity, specificity and accuracy of 100%, 98.33% and 98.89%, respectively, were obtained for screening KOA. This work proves that SERS has great potential to be used as an auxiliary diagnostic technology for KOA, and is also helpful for the exploration of novel KOA treatment agent.

摘要

膝骨关节炎(KOA)是一种进行性关节疾病,是慢性疼痛和残疾的主要原因,其诊断主要依赖于医学影像学检查结果和临床症状。本研究旨在探索基于表面增强拉曼散射(SERS)的KOA辅助诊断技术及临床疗效评估。进行了三个连续实验:1)淫羊藿苷(ICA)治疗效果的初步观察;2)分别利用假手术组、KOA组和淫羊藿苷治疗组大鼠模型的血清SERS光谱分析与KOA相关的表达谱;3)采用偏最小二乘法(PLS)和支持向量机(SVM)算法建立KOA诊断模型。病理变化证实了淫羊藿苷对KOA的疗效。拉曼峰归属结合光谱差异分析反映了与KOA相关的生化变化,包括氨基酸、碳水化合物和胶原蛋白。ICA干预显著逆转了这些变化,尽管未能完全恢复。基于PLS-SVM方法,筛查KOA的灵敏度、特异度和准确度分别为100%、98.33%和98.89%。这项工作证明SERS作为KOA辅助诊断技术具有巨大潜力,也有助于新型KOA治疗药物的探索。

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引用本文的文献

1
Utilizing surface-enhanced Raman spectroscopy for the adjunctive diagnosis of osteoporosis.利用表面增强拉曼光谱技术辅助诊断骨质疏松症。
Eur J Med Res. 2024 Sep 30;29(1):476. doi: 10.1186/s40001-024-02081-2.