Synergistic tolerance induced by LF15-0195 and anti-CD45RB monoclonal antibody through suppressive dendritic cells1
Bibliographic record
Abstract
BACKGROUND: LF 15-0195 (LF), a novel analogue of 15-deoxyspergualin (DSG), inhibits maturation of dendritic cells (DC). Anti-CD45RB is a monoclonal antibody (mAb) that blocks activation of T-helper (Th) 1 cells and generates T-regulatory cells. This study addressed whether these two reagents act synergistically to inducing tolerance, and investigated associated cellular mechanisms. METHODS: BALB/c recipients were treated by a short course of mAb alone, LF alone, or the combination of both agents. Mice that accepted a C57BL/6 cardiac allograft for more than 100 days were considered tolerant. Splenic DC were purified using positive selection for CD11c. Bone marrow DC were generated by culture with interleukin-4 and granulocyte-macrophage colony-stimulating factor. Surface marker expression was determined by fluorescence-activated cell sorter analysis. DC function was assessed by the ability to stimulate or inhibit T cells in vitro. RESULTS: Although monotherapy with LF or mAb failed to induce tolerance, combination therapy resulted in long-lasting acceptance of allogeneic hearts (>200 days) and secondary donor skin grafts (>100 days). DC from tolerant recipients possessed lower major histocompatibility complex class II and CD40 expression, and were poorer co-stimulators for T-cell proliferation than control DC. Furthermore, DC from tolerant mice induced Th2 differentiation, suppressed overall T-cell proliferation, and were poor presenters of T cells specific for antigen to pigeon cytochrome c 81-104. CONCLUSIONS: The combination of LF and anti-CD45RB mAb induced stable tolerance. The synergy of these two approaches appears to be mediated through formation of tolerogenic DC and T-regulatory cells.
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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 | 0.000 | 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 | 0.000 |
| 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".