<i>Leishmania‐</i>Induced Cellular Recruitment during the Early Inflammatory Response: Modulation of Proinflammatory Mediators
Bibliographic record
Abstract
This study investigated whether Leishmania species, the etiologic agent of cutaneous (Leishmania major) and visceral (Leishmania donovani) leishmaniasis, could differentially elicit early inflammatory events in vivo correlating with the subsequent development of their reciprocal pathogenesis. By use of the murine air pouch system, injection of Leishmania led to a rapid and transient accumulation of a mixed population of leukocytes, and L. major recruited 31-fold more leukocytes than did controls, compared with 7-fold more leukocytes for L. donovani. L. major promastigotes were better than L. donovani promastigotes at inducing proinflammatory cytokine secretion and chemokine gene expression in pouch exudates. L. major infection elicited significantly increased chemokine receptor gene expression, compared with L. donovani infection. Collectively, the data reveal that L. major is a strong inducer of the early inflammatory response, compared with L. donovani, and suggest that such an immunologic event potentially could restrain this parasite to the inoculation site, favoring the development of local swelling and cutaneous lesions.
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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 | 0.000 |
| 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 | 0.000 |
| 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".