Bovine spongiform encephalopathy (BSE) is a fatal neurodegenerative disease affecting cattle. Current tests for the detection of BSE are based solely on the only definitive marker of the disease, an abnormal conformer (PrPd), of the host encoded prion protein (PrPc). Recent evidence that other transmissible spongiform encephalopathy diseases can be present in the absence of PrPd, coupled with the need to establish pre-mortem diagnostic assays have led to a search for alternative diagnostic approaches. In this study we apply differential protein expression profiling for the prediction of BSE disease in post-mortem bovine brain tissue. The protein profiles of groups of 27 BSE diseased cattle were compared with 28 control animals. Analysis using statistical learning (and linear discriminant analysis) techniques established protein markers of disease with good predictive power (sensitivity 85% and specificity 71%). Further work will be required to test the predictive markers in a wider range of diseases, particularly other neurological conditions.
|Number of pages||11|
|Journal||Archives of Physiology and Biochemistry|
|Publication status||Published - Dec 2010|
- SELDI TOF MS
- TSE disease
- statistical models
- differential protein expression profiling