Pseudorabies (Aujeszky's disease) virus DNA detection in swine nasal swab and oral fluid specimens using a gB-based real-time quantitative PCR
Bibliographic record
Abstract
In this study, the detection of PRV DNA in nasal swab (n = 440) and oral fluid (n = 1,545) samples collected over time from experimentally PRV vaccinated and/or PRV inoculated pigs (n = 40) was comparatively evaluated by real-time PCR. Serum samples (n = 440) were tested by PRV gB/gE blocking ELISAs (Pseudorabies Virus gB Antibody Test Kit and Pseudorabies Virus gpI Antibody Test Kit, IDEXX Laboratories, Inc., Westbrook, ME) to monitor PRV status over time. Following exposure to a gE-deleted modified live vaccine (Ingelvac® Aujeszky MLV, Boehringer Ingelheim, Ridgefield, CT) and/or a wild-type virus (3 CR Ossabaw), PRV gB DNA was detected in oral fluid specimens in a pattern similar to that of nasal swabs. For quantitative analyses, PRV PCR quantification cycle (Cq) results were re-expressed as "efficiency standardized Cqs (ECqs)" as a function of PCR efficiency using plate-specific positive amplification controls. ROC analyses of the PRV gB PCR ECqs results showed a similar performance of the PRV gB PCR for nasal swab and oral fluid specimens (area under the ROC curve = 85 % vs 83 %) and, based on an ECq cutoff of 0.01 a diagnostic specificity of 100 % and diagnostic sensitivities for oral fluid and nasal swab specimens of 53 % (95 % CI: 43 %, 62 %) and 70 % (95 % CI: 55 %, 83 %), respectively. Thus, the results described herein demonstrated the detection of PRV gB DNA in swine oral fluid and supported the use of this specimen in PRV diagnosis and surveillance.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".