Influence of Leishmania RNA Virus 1 on Proinflammatory Biomarker Expression in a Human Macrophage Model of American Tegumentary Leishmaniasis
Bibliographic record
Abstract
Backgound: Species of the Leishmania Viannia (L. V.) subgenus harbor the double-stranded Leishmania RNA virus 1 (LRV-1), previously identified in isolates from Brazil and Peru. Higher levels of LRV-1 in metastasizing strains of L. V. guyanensis have been documented in both human and murine models, and correlated to disease severity. Methods: Expression of proinflammatory biomarkers, including interleukin (IL) 1β, tumor necrosis factor alpha (TNF-α), CXCL10, CCL5, IL-6, and superoxide dismutase, in human macrophages infected with 3 ATCC and 5 clinical isolates of L. V. braziliensis, L. V. guyanensis, and L. V. panamensis for 24 and 48 hours were measured by commercial enzyme immunoassay. Analyses were performed at 24 and 48 hours, stratified by LRV-1 status and species. Results: LRV-1-positive L. V. braziliensis demonstrated significantly lower expression levels of TNF-α (P = .01), IL-1β (P = .0015), IL-6 (P = .001), and CXCL10 (P = .0004) compared with LRV-1-negative L. V. braziliensis. No differences were observed in strains of L. V. panamensis by LRV-1 status. Conclusions: Compared to LRV-1-negative L. V. braziliensis, LRV-1-positive strains of L. V. braziliensis produced a predominant Th2-biased immune response, correlated in humans to poorer immunologic control of infection and more severe disease, including mucosal leishmaniasis. Effects of LRV-1 on the pathogenesis of American tegumentary leishmaniasis may be species specific.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".