Rapid Detection of CWD PrP: Comparison of Tests Designed for the Detection of BSE or Scrapie
Bibliographic record
Abstract
Chronic wasting disease (CWD) is a transmissible spongiform encephalopathy (TSE) mainly affecting cervids in North America. The accumulation of an abnormal form of host-encoded prion protein (PrP(CWD) ) in the CNS and lymphoid tissues is characteristic of the disease and known to be caused by pathogenic prion proteins (PrP(res) ), which are thought to be transmitted mainly by contact with body fluids, such like saliva. Species known to be naturally infected by CWD include Rocky Mountain elk (Cervus elaphus nelsoni), white-tailed deer (Odocoileus virginianus) and mule deer (Odocoileus hemionus). Recently, large-scale disease eradication or control programs have been attempted to curtail the spread of disease. But reports of diseased free-ranging and farmed cervids in many locations in the USA and Canada are still continuing. The goal of this study was to find sensitive rapid test systems that are reliably able to detect CWD-associated PrP(CWD) in cervids, thereby reviewing an important control tool in case the disease spreads further and reaches Europe. Seven tests, originally developed for the detection of other TSE diseases such as Scrapie and bovine spongiform encephalopathy, including two Western blots, four enzyme-linked immunosorbent assays (ELISAs), and one lateral flow device, were included in this study. All seven tests evaluated were able to detect pathogenic prion proteins (PrP(CWD) ) in Northern American infected animals and distinguish physiologic prion protein (PrP(c) ) in brainstem (obex region) and lymph node samples from North American and European cervids, respectively. However, the specificity and sensitivity of the tests differed significantly. Highly sensitive tests for the detection of prion proteins are an important tool both for the design of effective disease surveillance and control strategies and the safety of the food chain. Thus, this study contributes to the emergency preparedness against CWD.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".