Rapid and sensitive detection of viable mycobacteria in bovine faeces and blood by a novel phagomagnetic separation (PhMS)-qPCR assay
Bibliographic record
Abstract
<i>Mycobacterium avium</i> subsp.<i> paratuberculosis </i>(MAP) and <i>Mycobacterium bovis</i> are slow-growing mycobacterial pathogens that cause Johne’s disease (Paratuberculosis) and Bovine Tuberculosis, respectively. The potential of a new Phagomagnetic separation (PhMS)-qPCR assay to detect viable MAP and/or M. bovis in bovine faeces and blood within 24 h was investigated. Following careful optimization of sample preparation protocols, faeces samples (n=376) from calves and adult cattle on several Johne’s affected farms, and blood samples (n=174) from TB skin test reactor and routine slaughter <30 month old cattle collected at point of slaughter, were tested by PhMS-qPCR and culture. Results of faecal testing demonstrate that the novel PhMS-qPCR assay can quickly detect calves or cattle shedding viable MAP, i.e. infectious animals. Results of blood testing revealed that viable MAP and/or <i>M. bovis</i> mycobacteraemias were readily detectable in cattle at slaughter in Northern Ireland, with co-infections (both MAP and M. bovis detected in same blood sample) frequently encountered. Collectively, results indicate that the novel PhMS-qPCR assays may represent new diagnostic tests for Johne’s disease and bovine Tuberculosis in the future. <br/>
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".