Reduction of the Peripheral Blood CD56bright NK Lymphocyte Subset in FTY720-Treated Multiple Sclerosis Patients
Bibliographic record
Abstract
FTY720 (fingolimod) treatment of multiple sclerosis (MS) results in lymphopenia due to increased recruitment into and decreased egress from secondary lymphoid organs of CCR7(+) lymphocytes. Although absolute numbers of NK lymphocytes were reported as being unaltered in FTY720-treated MS patients (MS-FTY), such analyses did not detect a change in a minor subset. Because expression of CCR7 has been described on CD56(bright) NK cells, a minority population of NK cells, we investigated the effect of FTY720 treatment on the phenotype and function of human NK cells in the peripheral circulation of MS patients. MS-FTY patients displayed a decreased proportion of peripheral CD56(bright)CD62L(+)CCR7(+) NK cells compared with untreated MS and healthy donors. In vitro treatment with FTY720-P increased migration of untreated donor NK cells to CXCL12 while reducing the response to CX3CL1 with similar migration responses seen in NK cells from MS-FTY patients. FTY720-P inhibited sphingosine 1-phosphate-directed migration of CD56(bright) and CD56(dim) NK cells subsets from untreated healthy donors. IL-12- and IL-15-stimulated NK cells from MS-FTY patients displayed similar capacity to produce IFN-γ, TNF, IL-10, and MIP-1α cytokines/chemokines compared with NK cells from untreated healthy donors and displayed comparable levels of degranulation in response to K562 tumor cells compared with untreated donors. Subset alterations and function of NK cell populations will need to be considered as part of assessing overall immunosurveillance capacity of patients with MS who will receive sustained FTY720 therapy.
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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 | 0.001 |
| 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 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".