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Classification of Nerve Cells from Substantia Nigra of Patients with Parkinson's Disease and Amyotrophic Lateral Sclerosis with the Use of X-ray Fluorescence Microscopy and Multivariate Methods

机译:X射线荧光显微镜和多变量方法对帕金森氏病和肌萎缩性侧索硬化患者黑质神经细胞的分类

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摘要

The causes of Parkinson's disease and amyotrophic lateral sclerosis are still not known, but there is evidence that metal ions can be involved in processes leading to degeneration and atrophy of neurons in the case of these two neurodegenerative disorders. A synchrotron microbeam X-ray fluorescence technique was applied for topographic and quantitative analyses of selected elements on central nervous system tissue. The thin slices of brain were measured on the undulator beamline ID 22 at the European Synchrotron Radiation Facility in Grenoble, France. The polychromatic beam with the dimension of 5 μm×2 μm (horizontal × vertical) was used in measurements. Tissues of substantia nigra representing Parkinson's disease, amyotrophic lateral sclerosis, and the control case were scanned. The results obtained indicated that accumulation of some elements depends on the case that the substantia nigra represents. Some variability in the elemental distribution for a given case was noticed as well. To investigate if present differences in the elemental accumulation between analyzed cases are statistically significant, multivariate methods were used. Cluster and discriminant analyses confirmed the significance of the differences in elemental accumulation in biological structures representing the examined cases. The methods used let us classify these structures in separate groups and determine elements, which play the greatest role in the differentiation of the biological structures for each case.
机译:帕金森氏病和肌萎缩性侧索硬化的病因尚不清楚,但是有证据表明,在这两种神经退行性疾病中,金属离子可能参与导致神经元变性和萎缩的过程。将同步加速器X射线荧光荧光技术用于中枢神经系统组织上所选元素的形貌和定量分析。在法国格勒诺布尔的欧洲同步加速器辐射设施的起伏器光束线ID 22上测量了大脑的薄片。测量中使用尺寸为5μm×2μm(水平×垂直)的多色光束。扫描代表帕金森氏病,肌萎缩性侧索硬化和对照病例的黑质黑质组织。获得的结果表明,某些元素的积累取决于黑质代表的情况。对于给定的情况,元素分布也存在一些可变性。为了调查分析案例之间元素累积的当前差异是否具有统计学显着性,使用了多变量方法。聚类和判别分析证实了代表所检查病例的生物结构中元素积累差异的重要性。所使用的方法让我们将这些结构分为不同的组并确定元素,这些元素在每种情况下的生物结构区分中起着最大的作用。

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