Distinct Properties of Circulating CD8+ T Cells in FTY720-Treated Patients With Multiple Sclerosis
Bibliographic record
Abstract
OBJECTIVE: To define the capacity of peripheral blood CD8(+) T cells from patients with multiple sclerosis (MS) receiving fingolimod (FTY720) to migrate in response to chemokines that contribute to trafficking into the central nervous system. DESIGN: Peripheral blood T cells of FTY720-treated patients with MS (MS-FTY) are mainly CD8(+) CCR7⁻ effector memory cells as CCR7(+) T cells are inhibited from exiting from secondary lymph nodes. Migration of CD8(+) T cells from MS-FTY patients and untreated donors to chemokines CXCL12 and CCL2 was assayed in vitro. Expression of CCL2 receptor (CCR2), CCR7, CD28, and CD27 on CD8(+) T cells was determined by flow cytometry. SETTING: Montreal Neurological Institute's clinical research unit. Patients The MS-FTY patients were part of the extension phase of FTY720 clinical trials for relapsing-remitting MS. RESULTS: In vitro addition of active (phosphorylated) FTY720 increased migration of CD8(+) T cells from untreated patients to CXCL12 and CCL2. The CD8(+) or CD8(+) CCR7⁻ T cells from MS-FTY patients migrated less to CXCL12 and CCL2 compared with those from untreated donors. The proportion of CD8(+) CCR7⁻ cells that express the CCL2 chemokine receptor, CCR2, was significantly reduced in the MS-FTY group. The CD8(+) CCR7⁻ cells from the MS-FTY patients were enriched with CD27⁻ CD28⁻ (late effector) memory cells, a population with reduced expression of CCR2 compared with early (CD27(+) CD28(+)) effector memory cells. CONCLUSIONS: Therapy with FTY720 results in a subset of CD8(+) T cells with distinct functional migratory properties dominating the peripheral circulation. The expected forthcoming use of FTY720 as a sustained therapy for MS will clarify how this redistribution of lymphocyte populations affects the overall process of immune surveillance.
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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 | 0.001 |
| 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) | 0.002 | 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".