Application of FTIR spectroscopy for traumatic axonal injury: a possible tool for estimating injury interval
Application of FTIR spectroscopy for traumatic axonal injury: a possible tool for estimating injury interval
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FTIR 光谱在创伤性轴突损伤中的应用：估计损伤间隔的可能工具
DOI：
10.1042/bsr20170720
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发表时间：
2017-06
影响因子：
4
通讯作者：
Dong Hongmei
中科院分区：
文献类型：
--
作者：
Zhang Ji;Huang Ping;Wang Zhenyuan;Dong Hongmei
创伤性轴索损伤（TAI）是创伤性脑损伤（TBI）后的一种进行性继发性损伤。尽管在法医学和神经学领域进行了广泛的研究，但没有有效的方法来估计损伤与死亡之间的TAI间隔。本研究采用傅立叶变换红外光谱（FTIR）和红外显微镜技术，收集损伤后12、24和72 h大鼠胼胝体（CC）的红外光谱，并与对照动物进行比较。利用层次聚类分析（HCA）和偏最小二乘法（PLS）对采集的数据集进行分类。进一步，利用所建立的PLS模型对未知样本数据集的TAI损伤区间进行预测。结果表明，损伤后不同时间点的样品具有差异性，蛋白质、脂质和碳水化合物的生化变化是造成差异的原因。然后，建立的PLS模型在外部验证中对不同样本组之间的损伤期进行了令人满意的预测。本研究证明了基于ftir的PLS算法在法医学和神经学领域作为估计TAI损伤间隔的客观工具的巨大潜力。
Traumatic axonal injury (TAI) is a progressive and secondary injury following traumatic brain injury (TBI). Despite extensive investigations in the field of forensic science and neurology, no effective methods are available to estimate TAI interval between injury and death. In the present study, Fourier transform IR (FTIR) spectroscopy with IR microscopy was applied to collect IR spectra in the corpus callosum (CC) of rats subjected to TAI at 12, 24, and 72 h post-injury compared with control animals. The classification amongst different groups was visualized based on the acquired dataset using hierarchical cluster analysis (HCA) and partial least square (PLS). Furthermore, the established PLS models were used to predict injury interval of TAI in the unknown sample dataset. The results showed that samples at different time points post-injury were distinguishable from each other, and biochemical changes in protein, lipid, and carbohydrate contributed to the differences. Then, the established PLS models provided a satisfactory prediction of injury periods between different sample groups in the external validation. The present study demonstrated the great potential of FTIR-based PLS algorithm as an objective tool for estimating injury intervals of TAI in the field of forensic science and neurology.
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