Increased blood-circulating interferon-γ, interleukin-17, and osteopontin levels in bovine paratuberculosis
Bibliographic record
Abstract
Paratuberculosis-infected cattle initially develop an effective cell-mediated immune response that declines as the disease progresses. Blood is one of best sources for characterizing the inflammatory status of infected cows and for studying mediators related to chronic diseases. The aim of this study was to evaluate the cow-level association between blood cytokine concentration, the influence of serum on immune cell proliferation, and dairy cows naturally infected with Mycobacterium avium ssp. paratuberculosis (MAP). Positive animals (n=41) from 19 herds were selected on the basis of 2 positive fecal culture results and divided into 2 groups: single-positive, or serum ELISA-negative cows (n=32), and double-positive, or cows that gave positive results for both mycobacterial culture and serum ELISA (n=9). Negative animals (n=39) were selected from paratuberculosis-negative herds in which at least 80% of the animals had been diagnosed as negative by fecal culture and ELISA and that did not produce positive results during the 2-yr study. Analysis of plasma levels of the cytokines IL-4, IL-10, IL-17, IFN-γ, and osteopontin was performed, revealing distinct patterns. The ELISA-positive cows with MAP shedding had similar plasma concentrations of IL-4 and IL-10 but elevated levels of IFN-γ, IL-17, and osteopontin, which is indicative of inflammatory disease in these subclinical positive cows. In vitro MAP infection of bovine macrophages showed increased gene expression of tumor necrosis factor-α, IL-1β, IL-6, IL-23, and transforming growth factor-β as early as 6h postinfection for all of the cytokines involved in the establishment of a T-helper type-17 immune response. To determine the systemic influence of serum on immune cell functions, lymphoproliferation assays were also performed in presence of JD serum. The serum from shedding cows showed 15% less proliferation. These results indicate that infected cows have a lower systemic capacity to maintain a protective immune response and that, as the disease progresses, an emerging T-helper type-17 immune response is established.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".