University of Rochester, The Institute of Optics, Rochester, New York 14627, USA.
J Biomed Opt. 2011 Aug;16(8):087012. doi: 10.1117/1.3613933.
Although glucocorticoids are frequently prescribed for the symptomatic management of inflammatory disorders such as rheumatoid arthritis, extended glucocorticoid exposure is the leading cause of physician-induced osteoporosis and leaves patients at a high risk of fracture. To study the biochemical effects of glucocorticoid exposure and how they might affect biomechanical properties of the bone, Raman spectra were acquired from ex vivo tibiae of glucocorticoid- and placebo-treated wild-type mice and a transgenic mouse model of rheumatoid arthritis. Statistically significant spectral differences were observed due to both treatment regimen and mouse genotype. These differences are attributed to changes in the overall bone mineral composition, as well as the degree of phosphate mineralization in tibial cortical bone. In addition, partial least squares regression was used to generate a Raman-based prediction of each tibia's biomechanical strength as quantified by a torsion test. The Raman-based predictions were as accurate as those produced by microcomputed tomography derived parameters, and more accurate than the clinically-used parameter of bone mineral density. These results suggest that Raman spectroscopy could be a valuable tool for monitoring bone biochemistry in studies of bone diseases such as osteoporosis, including tests of drugs being developed to combat these diseases.
尽管糖皮质激素经常被用于治疗类风湿性关节炎等炎症性疾病的症状,但长期暴露于糖皮质激素是导致医源性骨质疏松症的主要原因,使患者骨折风险很高。为了研究糖皮质激素暴露的生化效应及其对骨骼生物力学特性的影响,我们从糖皮质激素和安慰剂治疗的野生型和类风湿性关节炎转基因小鼠的离体胫骨中获得了 Raman 光谱。由于治疗方案和小鼠基因型的不同,观察到了统计学上显著的光谱差异。这些差异归因于胫骨皮质骨中整体骨矿物质组成以及磷酸盐矿化程度的变化。此外,我们还使用偏最小二乘回归生成了基于 Raman 的预测,以根据扭转试验量化的每个胫骨的生物力学强度。基于 Raman 的预测与基于微计算机断层扫描的参数产生的预测一样准确,并且比临床使用的骨矿物质密度参数更准确。这些结果表明,Raman 光谱可能是监测骨质疏松症等骨骼疾病中骨骼生物化学的有价值的工具,包括用于治疗这些疾病的药物测试。