Investigation of the Involvement of Macrophages and T Cells in D-Penicillamine-Induced Autoimmunity in the Brown Norway Rat
Why this work is in the frame
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Bibliographic record
Abstract
The initiating events in drug-induced autoimmunity are poorly understood and difficult to study. We examined the role of macrophages and T-cells in the Brown Norway rat model of D-penicillamine-induced autoimmunity. When activated, macrophages can act as both antigen presenting cells, initiating immune responses, and as phagocytic cells mediating systemic tissue damage. We found that B7(+) macrophages are the major antigen-presenting cell type infiltrating the spleen and caecum early in the response to Dpenicillamine. As well, the increase in splenic B7(+) macrophages correlates with the incidence of autoimmune disease. Treatments that increase the incidence of disease accentuate the increase in splenic B7(+) macrophages, and treatments that prevent disease also prevent the increase in B7(+) macrophages. In vivo depletion of macrophages appeared to decrease, but not totally prevent, autoimmune disease. The role of T-cells in D-penicillamine-induced autoimmunity was also examined using the T-cell inhibitor tacrolimus. Short-term treatment with tacrolimus not only prevented disease onset but also reversed ongoing disease and prevented disease relapse upon re-challenge with D-penicillamine. The results of this study indicate that both macrophages and T-cells could be important immune cell types involved in D-penicillamine-induced autoimmunity. Furthermore, the effects of tacrolimus in this model suggest that short-term tacrolimus treatment may be an effective way to prevent or treat IDRs in high-risk patients.
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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) | 0.000 | 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 | 0.001 |
| 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 it