Cutting Edge: STAT1 and T-bet Play Distinct Roles in Determining Outcome of Visceral Leishmaniasis Caused by <i>Leishmania donovani</i>
Bibliographic record
Abstract
T-bet and STAT1 regulate IFN-gamma gene transcription in CD4+ T cells, which mediate protection against Leishmania. Here we show that T-bet and STAT1 are required for the induction of an efficient Th1 response during Leishmania donovani infection, but they play distinct roles in determining disease outcome. Both STAT1(-/-) and T-bet(-/-) mice failed to mount a Th1 response, but STAT1(-/-) mice were highly resistant to L. donovani and developed less immunopathology, whereas T-bet(-/-) mice were highly susceptible and eventually developed liver inflammation. Adoptive cell transfer studies showed that RAG2(-/-) recipients receiving STAT1(+/+) or STAT1(-/-) T cells developed comparable liver pathology, but those receiving STAT1(-/-) T cells were significantly more susceptible to infection. These unexpected findings reveal distinct roles for T-bet and STAT1 in mediating host immunity and liver pathology during visceral leishmaniasis.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".