ROLE OF ACCESSORY CELLS IN THE IVIG-MEDIATED INHIBITION OF T CELL ACTIVATION (48.5)
Bibliographic record
Abstract
Abstract Intravenous immunoglobulin (IVIg) is a therapeutic preparation of human IgG isolated from thousands of plasma and is currently used for the treatment of an increasing number of immune disorders. A decreased T cell activation was reported in some patients treated with IVIg. To understand the mechanisms responsible for this anti-inflammatory effect, several groups of investigators have performed in vitro assays in which PBMC were activated with immobilized anti-CD3. The main conclusion derived from these works is that IVIg inhibited the functions of activated T cell. However, direct effect of IVIg on activated T cells has been questioned recently. In the present study, we re-examined the mechanisms by which IVIg interferes with the functions of T cells activated with immobilized anti-CD3. First, the level of T cell activation after anti-CD3 stimulation of PBMC, purified T cells or PBMC depleted from monocytes was measured. Our results showed that in the absence of monocytes, T cells did not proliferate in response to anti-CD3 stimulation, suggesting that monocytes are essential to lead to full T cell activation. Second, we evaluated the effect of IVIg on T cell activation after anti-CD3 stimulation of PBMC. Our results showed that T cells were not activated in the presence of IVIg suggesting that not only T cells but also monocytes could be the target of IVIg. Work is underway to better define the role of monocytes in the effects of IVIg on T cell activation.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".