Identification of Scrapie Infection from Blood Serum by Fourier Transform Infrared Spectroscopy

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...

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Bibliographic Details
Published in:Analytical chemistry (Washington) 2002-08, Vol.74 (15), p.3865-3868
Main Authors: Schmitt, Jürgen, Beekes, Michael, Brauer, Angelika, Udelhoven, Thomas, Lasch, Peter, Naumann, Dieter
Format: Article
Language:English
Subjects:
Animals
Artificial Intelligence
Biological and medical sciences
Blood
Bovine spongiform encephalopathy
Cricetinae
Female
Fundamental and applied biological sciences. Psychology
Infections
Male
Medical screening
Microbiology
Neural Networks (Computer)
Non conventional transmissible agents
Predictive Value of Tests
Scrapie - blood
Scrapie - diagnosis
Sensitivity and Specificity
Spectroscopy, Fourier Transform Infrared - methods
Spectrum analysis
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Summary: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.
ISSN:0003-2700
1520-6882
DOI:10.1021/ac015688s