T cells and immunopathogenesis of experimental African trypanosomiasis
Bibliographic record
Abstract
SUMMARY: African trypanosomes are pathogens for humans and livestock. They are single-cell, extra-cellular parasites that cause persistent infections of the blood and induce profound immunosuppression. Here, we review recent work on experimental African trypanosomiasis, especially infections with Trypanosoma congolense, in mice with regard to mechanisms of immunosuppression and immunopathology. The center of the immunopathology is the T-cell-independent production of antibodies to the variant surface glycoprotein (VSG) of trypanosomes, the anti-VSG antibody-mediated phagocytosis of trypanosomes by macrophages, and the subsequent profound dysregulation of the macrophage system. Depending on the genetics of the host and the parasite load, the malfunction of the macrophage system is enhanced by interferon-gamma produced by parasite-specific, major histocompatibility complex class II-restricted, matrix-adherent CD4(+) T cells or downregulated by interleuin-10 produced by parasite-specific, CD4(+)CD25(high) Forkhead box protein 3(+) regulatory T cells. There is a physiological conflict of the two relevant cytokines interleukin-10 and interferon-gamma in regulating the immunopathology versus regulating the induction and effect of protective immune responses. On the basis of very recent work in our laboratory, we propose a hypothetical model suggesting a cross-regulation of natural killer T cells and CD4(+)CD25(high) Forkhead box protein 3(+) regulatory T cells in experimental infections with T. congolense.
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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 | 0.001 | 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".