Distinct Roles for CD4+ Foxp3+ Regulatory T Cells and IL-10–Mediated Immunoregulatory Mechanisms during Experimental Visceral Leishmaniasis Caused by <i>Leishmania donovani</i>
Bibliographic record
Abstract
Abstract The outcome of intracellular parasitic infection can be determined by the immunoregulatory activities of natural regulatory CD4+ Foxp3+ T (Treg) cells and the anti-inflammatory cytokine IL-10. These mechanisms protect tissue but can also suppress antiparasitic CD4+ T cell responses. The specific contribution of these regulatory pathways during human parasitic diseases remains unclear. In this study, we investigated the roles of Treg cells and IL-10 during experimental visceral leishmaniasis caused by Leishmania donovani infection of C57BL/6 mice. We report only a limited contribution of Treg cells in suppressing antiparasitic immunity, but important roles in delaying the development of splenic pathology and restricting leukocyte expansion. We next employed a range of cell-specific, IL-10– and IL-10R–deficient mice and found these Treg cell functions were independent of IL-10. Instead, conventional CD4+ T cells and dendritic cells were the most important cellular sources of IL-10, and the absence of IL-10 in either cell population resulted in greater control of parasite growth but also caused accelerated breakdown in splenic microarchitecture. We also found that T cells, dendritic cells, and other myeloid cells were the main IL-10–responding cells because in the absence of IL-10R expression by these cell populations, there was greater expansion of parasite-specific CD4+ T cell responses associated with improved control of parasite growth. Again, however, there was also an accelerated breakdown in splenic microarchitecture in these animals. Together, these findings identify distinct, cell-specific, immunoregulatory networks established during experimental visceral leishmaniasis that could be manipulated for clinical advantage.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".