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Identification of scrapie infection from blood serum by Fourier transform infrared spectroscopy

机译:傅立叶变换红外光谱法从血清中鉴定瘙痒病感染

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We describe a new Fourier transform infrared (FT-IR) spectroscopy-based diagnostic approach, which may provide. for the first time a rapid, reliable, and inexpensive blood test for scrapie and related transmissible spongiform encephalopathies (TSE). Blood serum from 146 terminally ill Syrian hamsters infected with 263K scrapie via different routes of inoculation and from 166 healthy control animals was analyzed by FT-IR spectroscopy and artificial neural networks (ANN). This revealed characteristic molecular alterations in the serum of infected donors. Different ANN models were constructed and challenged with previously unknown samples in test runs in order to establish whether the new method is able to discriminate between normal and infected animals. Optimized ANNs consistently yielded test sensitivities and specificities of 97% and 100%, respectively. The predictive value of a positive (negative) test was 100% (98%). The proposed serum test circumvents substantial drawbacks of conventional TSE diagnostics and can be fully automated. [References: 16]
机译:我们描述了一种新的基于傅立叶变换红外(FT-IR)光谱的诊断方法,该方法可以提供。首次对瘙痒病和相关的可传播海绵状脑病(TSE)进行了快速,可靠且廉价的血液检查。通过FT-IR光谱法和人工神经网络(ANN)分析了通过不同接种途径感染了263K瘙痒病的146只绝症叙利亚仓鼠的血清和166只健康对照动物的血清。这揭示了感染供体血清中的特征性分子改变。为了确定新方法是否能够区分正常动物和感染动物,构建了不同的人工神经网络模型,并在测试运行中对先前未知的样品进行了挑战。优化的人工神经网络一致地产生分别为97%和100%的测试敏感性和特异性。阳性(阴性)测试的预测值为100%(98%)。拟议的血清测试规避了常规TSE诊断的重大缺陷,并且可以实现全自动。 [参考:16]

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