Regulatory T Cells Are Reduced During Anti-CD25 Antibody Treatment of Multiple Sclerosis
Bibliographic record
Abstract
OBJECTIVE: Maintenance therapy with anti-CD25 antibody has emerged as a potentially useful treatment for multiple sclerosis (MS). Constitutive CD25 expression on CD4+CD25+ regulatory T cells (Treg) suggests that anti-CD25 antibody treatment may potentially target a subset of T cells that exhibit immune suppressive properties. We examined changes to CD4+CD25+ Treg in patients with MS receiving maintenance anti-CD25 monoclonal antibody treatment to determine the effect of treatment on Treg and, consequently, on immunological tolerance. DESIGN: Peripheral blood and cerebrospinal fluid samples obtained from a before-and-after trial of anti-CD25 antibody monotherapy were examined to compare baseline and treatment differences in CD4+CD25+ Treg. SUBJECTS: A total of 15 subjects with MS. One subject was withdrawn owing to an adverse effect. RESULTS: Sustained reduction of the frequency of CD4+CD25+ Treg was observed during treatment. Anti-CD25 antibody treatment led to evidence of impaired in vivo Treg proliferation and impaired ex vivo Treg suppression. Inflammatory MS activity was substantially reduced with treatment despite reduction of circulating Treg, and there was no correlation between changes in the frequency of Treg and changes in brain inflammatory activity. However, new-onset inflammatory disease, notably dermatitis, was also observed in a number of subjects during treatment. CONCLUSION: The reduction in Treg did not negatively affect maintenance of central nervous system tolerance during anti-CD25 antibody treatment. The incidence of new-onset inflammatory disease outside of the central nervous system in a subset of patients, however, warrants further studies to examine the possibility of compartmental differences in the capacity to maintain tolerance in the setting of reduced CD4+CD25+ Treg.
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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) | 0.001 | 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".