2-Methoxyestradiol Treatment Prevents Graft-versus-Host Disease While Preserving Graft-versus-Leukemia Effect in Mice
Bibliographic record
Abstract
ABSTRACT 2-Methoxyestradiol (2ME2, Panzem) is an endogenous metabolite that is well-tolerated in phase I/II clinical trials for variety of tumors. The plasma levels of 2ME2 may increase up to 1,000-fold during pregnancy and correlate temporally with the remission of rheumatoid arthritis (RA) and multiple sclerosis (MS) symptoms. The anti-inflammatory properties of 2ME2 were recently established in the mouse model of MS, and the mechanism of action is the ability of 2ME2 to inhibit lymphocyte proliferation, cytokine production and T cell polarization. Herein, we have demonstrated that 2ME2 treatment can significantly reduce the mortality and morbidity associated with graft-versus-host disease (GVHD). There is a lower number of donor-derived CD4 + and CD8 + T cells in the peripheral lymph node and Peyer’s patches of 2ME2-treated mice compared to control recipients. Moreover, 2ME2 exposure can significantly decrease the production of IFN-γ and IL-2 in donor-derived CD4 + T cells and serum in GVHD mice. However, 2ME2 treatment has no effect on the differentiation of CD8 + effector T cells in vivo and their cytolytic activity remains intact. Furthermore, 2ME2 therapy is effective in preventing GVHD while preserving graft-versus leukemia (GVL) activity in mice. Our findings indicate that 2ME2 could be a novel and effective treatment for GVHD patients.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| 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".