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首页> 外文期刊>Brazilian Journal of Medical and Biological Research >A mathematical framework for group analysis of von Willebrand factor multimeric composition following luminography
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A mathematical framework for group analysis of von Willebrand factor multimeric composition following luminography

机译:发光后von Willebrand因子多聚体组成的组分析的数学框架

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The objective of the present study was to establish a method for quantitative analysis of von Willebrand factor (vWF) multimeric composition using a mathematical framework based on curve fitting. Plasma vWF multimers from 15 healthy subjects and 13 patients with advanced pulmonary vascular disease were analyzed by Western immunoblotting followed by luminography. Quantitative analysis of luminographs was carried out by calculating the relative densities of low, intermediate and high molecular weight fractions using laser densitometry. For each densitometric peak (representing a given fraction of vWF multimers) a mean area value was obtained using data from all group subjects (patients and normal individuals) and plotted against the distance between the peak and IgM (950 kDa). Curves were constructed for each group using nonlinear fitting. Results indicated that highly accurate curves could be obtained for healthy controls and patients, with respective coefficients of determination (r2) of 0.9898 and 0.9778. Differences were observed between patients and normal subjects regarding curve shape, coefficients and the region of highest protein concentration. We conclude that the method provides accurate quantitative information on the composition of vWF multimers and may be useful for comparisons between groups and possibly treatments.
机译:本研究的目的是建立使用基于曲线拟合的数学框架对von Willebrand因子(vWF)多聚体组成进行定量分析的方法。通过Western免疫印迹和荧光成像分析了来自15位健康受试者和13位晚期肺血管疾病患者的血浆vWF多聚体。通过使用激光密度计计算低,中和高分子量级分的相对密度,对发光仪进行定量分析。对于每个光密度峰(代表vWF多聚体的给定分数),使用所有组受试者(患者和正常个体)的数据获得平均面积值,并针对峰与IgM之间的距离(950 kDa)作图。使用非线性拟合为每组构建曲线。结果表明,可以为健康对照和患者获得高度准确的曲线,分别的测定系数(r2)为0.9898和0.9778。在患者和正常受试者之间观察到曲线形状,系数和最高蛋白质浓度区域方面的差异。我们得出的结论是,该方法提供了有关vWF多聚体组成的准确定量信息,可能对组间比较和可能的治疗有用。

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