通过蛋白质组学分析诊断朊病毒疾病
Prion disease diagnosis by proteomic profiling.
作者信息
Herbst Allen, McIlwain Sean, Schmidt Joshua J, Aiken Judd M, Page C David, Li Lingjun
机构信息
Department of Comparative Biosciences, University of Wisconsin-Madison, Wisconsin 53705-222, USA.
出版信息
J Proteome Res. 2009 Feb;8(2):1030-6. doi: 10.1021/pr800832s.
Abstract
Definitive prion disease diagnosis is currently limited to postmortem assay for the presence of the disease-associated proteinase K-resistant prion protein. Using cerebrospinal fluid (CSF) from prion-infected hamsters, matrix-assisted laser desorption/ionization Fourier transform mass spectrometry (MALDI-FTMS), and support vector machines (SVM), we have identified peptide profiles characteristic of disease state. Using 10-fold leave-one-out cross-validation, we report a predictive accuracy of 72% with a true positive rate of 73% and a false positive rate of 27% demonstrating the suitability of using proteomic profiling and CSF for the development of multiple marker diagnostics of prion disease.
摘要
目前，朊病毒疾病的确切诊断仅限于在尸检时检测是否存在与疾病相关的蛋白酶K抗性朊病毒蛋白。我们使用来自朊病毒感染仓鼠的脑脊液（CSF）、基质辅助激光解吸/电离傅里叶变换质谱（MALDI-FTMS）和支持向量机（SVM），确定了疾病状态特征性的肽谱。通过10倍留一法交叉验证，我们报告预测准确率为72%，真阳性率为73%，假阳性率为27%，这表明蛋白质组学分析和脑脊液适用于开发朊病毒疾病的多标志物诊断方法。
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