Monitoring the Progression of Spontaneous Articular Cartilage Healing with Infrared Spectroscopy.
Monitoring the Progression of Spontaneous Articular Cartilage Healing with Infrared Spectroscopy.
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通过红外光谱监测自发关节软骨愈合的进展。
DOI：
10.1177/1947603515572874
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发表时间：
2015-07
期刊：
影响因子：
2.8
通讯作者：
Pleshko N
中科院分区：
文献类型：
--
作者：
O'Brien MP;Penmatsa M;Palukuru U;West P;Yang X;Bostrom MP;Freeman T;Pleshko N
评估愈合关节软骨的早期成分变化对于了解组织修复和治疗决策至关重要。傅里叶变换红外成像光谱仪(FT-IRIS)可用于评估收获的修复组织的分子组成。此外，红外光纤探头(IFOP)的使用有可能转化为临床环境，以提供原位的分子信息。在目前的研究中，我们确定了IFOP评估软骨修复组织在兔模型中的可行性，并评估了与金标准组织学的相关性。成年新西兰大白兔制作双侧骨软骨缺损区，分别于术后2、4、6、8、12、16周采集缺损区及邻近区域的IFOP数据。用改良的O‘Driscoll评分、FT-IRIS和IFOP谱的偏最小二乘(PLS)模型对组织进行组织学评估。胶原含量、蛋白多糖含量和胶原指数的FT-IRIS参数与改良的O‘Driscoll评分显著相关(P分别为0.002.0 5、0.0 2和0.0 2)，表明它们对组织愈合敏感。通过偏最小二乘分析将修复组织的IFOP光谱与正常组织的IFOP光谱区分开来。然而，偏最小二乘模型用于预测组织学分数具有较高的预测误差，这归因于只能从组织表面获取光谱信息。FT-IRIS数据和组织学评分之间的强相关性支持IFOP技术在临床应用上的进一步发展，尽管需要进一步研究以优化从全样本深度收集的数据。
Evaluation of early compositional changes in healing articular cartilage is critical for understanding tissue repair and for therapeutic decision-making. Fourier transform infrared imaging spectroscopy (FT-IRIS) can be used to assess the molecular composition of harvested repair tissue. Furthermore, use of an infrared fiber-optic probe (IFOP) has the potential for translation to a clinical setting to provide molecular information in situ. In the current study, we determined the feasibility of IFOP assessment of cartilage repair tissue in a rabbit model, and assessed correlations with gold-standard histology. Bilateral osteochondral defects were generated in mature white New Zealand rabbits, and IFOP data obtained from defect and adjacent regions at 2, 4, 6, 8, 12, and 16 weeks postsurgery. Tissues were assessed histologically using the modified O’Driscoll score, by FT-IRIS, and by partial least squares (PLS) modeling of IFOP spectra. The FT-IRIS parameters of collagen content, proteoglycan content, and collagen index correlated significantly with modified O’Driscoll score (P = 0.05, 0.002, and 0.02, respectively), indicative of their sensitivity to tissue healing. Repair tissue IFOP spectra were distinguished from normal tissue IFOP spectra in all samples by PLS analysis. However, the PLS model for prediction of histological score had a high prediction error, which was attributed to the spectral information being acquired from the tissue surface only. The strong correlations between FT-IRIS data and histological score support further development of the IFOP technique for clinical applications, although further studies to optimize data collection from the full sample depths are required.
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影响因子：
3.7
作者：
Hanifi A;McCarthy H;Roberts S;Pleshko N
通讯作者：
Pleshko N
影响因子：
4.2
作者：
Camacho, NP;Carroll, P;Raggio, CL
通讯作者：
Raggio, CL
影响因子：
7
作者：
Hanifi, A.;Richardson, J. B.;Pleshko, N.
通讯作者：
Pleshko, N.
影响因子：
2.9
作者：
Gadaleta, SJ;Landis, WJ;Mendelsohn, R
通讯作者：
Mendelsohn, R
影响因子：
7
作者：
Julkunen, P.;Harjula, T.;Helminen, H. J.
通讯作者：
Helminen, H. J.