A high titer antibody response against P22 protein immunocomplex is not correlated with protection in naturally tuberculosis-infected goats
Bibliographic record
Abstract
Caprine livestock are significant reservoirs of the Mycobacterium tuberculosis complex (MTBC), contributing to tuberculosis (TB) transmission among animals and humans. The P22 protein immunocomplex (P22PI), derived from bovine tuberculin, shows immunostimulating capacity and is used for TB diagnosis. This study assessed the immunogenicity and protective efficacy of P22PI in two groups of goats: 24 naïve goats (12 immunised, 12 controls) from a TB-free herd, and 24 infected goats (12 immunised, 12 controls), referred to as pre-infected animals, from a M. bovis-infected herd. Both were exposed for 5 months to M. bovis-naturally infected goats. Reactors to single and comparative intradermal tuberculin (SIT and SCIT, respectively) tests and interferon-gamma release assay (IGRA) significantly increased (p < 0.05) in both groups 5 months’ post-exposure, with no significant differences between immunised and control animals. However, immunised animals exhibited a significantly higher (p < 0.05) antibody response against P22PI. Most naïve animals (83.3%) and all pre-infected animals developed TB-compatible lesions, with extensive necrosis in the lungs and associated lymph nodes, compared to 50% and 83.3% of control animals, respectively. These findings suggest that while P22PI stimulates an intense antibody response under the conditions of the present study, it does not confer protection against TB and may exacerbate disease severity.
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 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 | 0.000 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".