使用近红外（NIR）光谱法对关节软骨中蛋白聚糖含量进行空间映射。
Spatial mapping of proteoglycan content in articular cartilage using near-infrared (NIR) spectroscopy.
作者信息
Afara Isaac O, Moody Hayley, Singh Sanjleena, Prasadam Indira, Oloyede Adekunle
机构信息
Department of Applied Physics, University of Eastern Finland, Kuopio, Finland ; School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia ; Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia.
School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia ; Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia.
出版信息
Biomed Opt Express. 2014 Dec 15;6(1):144-54. doi: 10.1364/BOE.6.000144. eCollection 2015 Jan 1.
Diagnosis of articular cartilage pathology in the early disease stages using current clinical diagnostic imaging modalities is challenging, particularly because there is often no visible change in the tissue surface and matrix content, such as proteoglycans (PG). In this study, we propose the use of near infrared (NIR) spectroscopy to spatially map PG content in articular cartilage. The relationship between NIR spectra and reference data (PG content) obtained from histology of normal and artificially induced PG-depleted cartilage samples was investigated using principal component (PC) and partial least squares (PLS) regression analyses. Significant correlation was obtained between both data (R(2) = 91.40%, p<0.0001). The resulting correlation was used to predict PG content from spectra acquired from whole joint sample, this was then employed to spatially map this component of cartilage across the intact sample. We conclude that NIR spectroscopy is a feasible tool for evaluating cartilage contents and mapping their distribution across mammalian joint.
使用当前的临床诊断成像手段在疾病早期阶段诊断关节软骨病变具有挑战性，尤其是因为组织表面和基质成分（如蛋白聚糖（PG））通常没有明显变化。在本研究中，我们提出使用近红外（NIR）光谱对关节软骨中的PG含量进行空间映射。使用主成分（PC）和偏最小二乘（PLS）回归分析研究了正常和人工诱导的PG缺失软骨样本组织学获得的近红外光谱与参考数据（PG含量）之间的关系。两种数据之间获得了显著相关性（R(2) = 91.40%，p<0.0001）。所得相关性用于从全关节样本获取的光谱预测PG含量，然后将其用于在完整样本上对软骨的该成分进行空间映射。我们得出结论，近红外光谱是评估软骨成分及其在哺乳动物关节中分布的可行工具。
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