NBI‐5788, an altered MBP83‐99 peptide, induces a T‐helper 2–like immune response in multiple sclerosis patients
Bibliographic record
Abstract
We assessed the immune response induced in multiple sclerosis (MS) patients who had received NBI-5788, an altered peptide ligand (APL) designed from an immunodominant region (83–99) of the neuroantigen myelin basic protein (MBP) (5, 10, or 20 mg subcutaneously weekly for 4 weeks). The mean frequency of NBI-5788–responsive T cells (stimulation index > 3) in MS patients treated with the APL was 35.8 ± 12.8% (n = 7) compared with a mean frequency of 6.2 ± 1.3% (n = 7) for the untreated patients. The mean frequency of whole MBP–responsive T cells in MS patients treated with the APL was not significantly different from that of untreated patients (16.4 ± 5.7% vs 18.0 ± 6.3%, respectively). NBI-5788–reactive T-cell lines generated from NBI-5788–treated patients exhibited an increased frequency of cross-reactivity with MBP peptide 83–99 compared with NBI-5788–reactive lines from control MS patients. Cytokine secretion by APL-reactive T-cell lines from NBI-5788–treated MS patients was more frequently T-helper 2–like compared with T-cell lines from untreated MS patients. These results demonstrate that subcutaneous administration of a soluble APL based on the MBP peptide 83–99 in MS patients can induce an APL-reactive immune response in which T lymphocytes cross-reactive with the immunodominant neuroantigen MBP secrete anti-inflammatory cytokines. The significant heterogeneity in immune response between individuals indicates the need for clinical laboratory correlation during the course of therapeutic trials. Ann Neurol 2000;48:758–765
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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) | 0.000 | 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) | 0.001 | 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".