THE EXPERIMENTAL (IN VITRO) AND CLINICAL (IN VIVO) IMMUNOSUPPRESSIVE EFFECTS OF A RAT IgG2b ANTI-HUMAN CD2 mAb, LO-CD2a/BTI-3221
Bibliographic record
Abstract
BACKGROUND: CD2 is a cell surface glycoprotein expressed on most human T cells and natural killer (NK) cells, working as a cell adhesion and costimulatory molecule. The aim of this paper is to analyze the mechanism of action of a rat IgG2b anti-human CD2 monoclonal antibody (mAb) (LO-CD2a/BTI-322 mAb), which is a potent immunosuppressive agent and inducer of cell death. In vivo, this mAb is able to prevent or treat kidney allograft rejection. METHODS: The mechanisms by which the LO-CD2a/BTI-322 mAb is able to induce inhibition of cell activation and cell death were analyzed by mixed lymphocyte reactions and by flow cytometry. After in vivo treatment, levels of circulating mAb were measured by ELISA as well as anti-rat immunization and cytokine release. RESULTS: We show that the inhibition of cell activation induced by LO-CD2a/BTI-322 mAb after allogeneic or OKT3 stimulation is due to an Fcgamma receptor-dependent CD2 down-modulation and to T-cell depletion through an antibody-dependent cell-mediated cytotoxicity mechanism mediated by NK cells or activated monocytes. Peripheral T- and NK-cell depletion was observed after in vivo treatment with LO-CD2a/BTI322. Cytokine release (TNFalpha) was correlated with some side effects, but only after the first injection, and the effects were never severe or life threatening. CONCLUSION: The correlation between the in vitro and in vivo data suggests that T-cell depletion, especially of activated cells, and inhibition of cell activation after CD2 down-modulation are the main mechanisms of action of the LO-CD2a/BTI-322 mAb.
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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) | 0.001 | 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 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".