A General Mass Spectrometry-Based Method of Quantitating Prion Polymorphisms from Heterozygous Chronic Wasting Disease-Infected Cervids
Bibliographic record
Abstract
Chronic wasting disease (CWD) is the only prion disease naturally transmitted among farmed and free-ranging cervids (deer, elk, moose, etc.). These diseases are always fatal and have long asymptomatic incubation periods. By 2019, CWD-infected cervids had been detected in 26 states, three Canadian provinces, South Korea, Norway, Finland, and Sweden. Prions (PrP Sc ) replicate by inducing a normal cellular prion protein (PrP C ) to adopt the prion conformation. This prion templated conformational conversion is influenced by PrP C polymorphisms. Cervid PrP C contains at least 20 different polymorphic sites. By using chymotrypsin, trypsin, or trypsin followed by chymotrypsin to digest denatured cervid PrP, 19 peptides suitable for multiple reaction monitoring (MRM)-based analysis and spanning positions 30–51, 61–112, and 114–231 of cervid PrP were identified. Ten of these peptides span polymorphism-containing regions of cervid PrP. The other nine contain no polymorphisms, so they can be used as internal standards. Calibration curves relating the area ratios of MRM signals from polymorphism-containing peptides to appropriate internal standard peptides were linear and had excellent correlation coefficients. Samples from heterozygous (G 96 /S 96 ) white-tailed deer orally dosed with CWD from homozygous (G 96 /G 96 ) deer were analyzed. The G 96 polymorphism comprised 75 ± 5% of the total PrP from the G 96 /S 96 heterozygotes. Heterozygous animals facilitate conversion of different PrP C polymorphisms into PrP Sc . This approach can be used to quantitate the relative amounts of the polymorphisms present in other animal species and even humans.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".