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The elevated rates in our study could be explained by age and sex differences in the samples; our study included more males and more individuals from younger age categories, where illicit drug use is generally more prevalent [31, 32].
Thus, performance of 2 subsequent 1-mg DST using 4 PM or 11 PM samples [61] or two subsequent 1.5 mg DST using 3 PM samples (our study) may be an easy and appropriate way to predict therapeutic response.
Although based on a limited set of samples, our study supports the notion that CH1641-like isolates can be convincingly discriminated from small ruminant BSE on molecular grounds.
With 5 biological replicates each, and 6 distinct tissue/stage samples, our study has considerable statistical power to detect alternatively spliced transcripts.
However, due to availability of clinical samples, our study differed from the other in that we could not analyse clinical specimens from patients.
Although it is possible other platforms perform better on FFPE samples, our study demonstrates that sufficient information is stored in FFPE samples so that it can be used for expression profiling using exon 1.0 ST arrays.
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We purposively sampled our study participants by inviting students who completed their rotation in internal medicine.
With the ability to draw a national sample, our study is amongst the largest in the field.
For the selection of samples in our study, several sample folds with their ages and residential histories were collected to determine whether they were native residents.
We did not pick out a random sample and our study sample was based on simple convenience sampling.
Finally, the study by Cahoy et al used forebrain samples, while our study used cortical samples.
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