Basis for fluctuations in lymphocyte counts in fingolimod-treated patients with multiple sclerosis
Bibliographic record
Abstract
OBJECTIVE: To determine the range of fluctuation in total lymphocyte counts (TLCs) in peripheral blood over a 4- to 7-year period in patients with MS receiving fingolimod (FTY720) and the relation between TLCs and T-cell subsets (CD4+, CD8+, CCR7+/-) that are differentially regulated in the lymph nodes by fingolimod. METHODS: TLCs were measured every 3 months in patients (n = 23) receiving fingolimod for 4 to 7 years. T-cell subset (CD4+, CD8+, and CCR7+/-) analyses were performed on whole-blood samples and/or freshly isolated or cryopreserved mononuclear cells. RESULTS: All serially studied patients had mean TLCs <0.6 × 10(9) lymphocytes/L. In 30% of patients, 20% to 40% of TLCs were >0.6 × 10(9) lymphocytes/L vs mean 4.0% for "nonfluctuator" patients. Cross-sectional analysis indicated that TLCs of 0.2-0.6 × 10(9) lymphocytes/L correlated with numbers of CD8+ effector (CCR7-) cells. For patients discontinuing therapy, TLCs between 0.6 and 1.0 × 10(9) lymphocytes/L were associated with a relative increase of CD4 T cells and reappearance of CCR7+ (CD4+ and CD8+) T cells. Analysis of cryopreserved mononuclear cell samples from patients receiving therapy with TLCs >0.6 × 10(9) lymphocytes/L indicated no differences in total CD4 or CD8+ T cells but increased proportion of CD4+CCR7+ T cells compared to samples with TLCs <0.6 × 10(9) lymphocytes/L. CONCLUSION: Fluctuations of TLCs within 0.2-0.6 × 10(9) lymphocytes/L in patients receiving fingolimod reflect changes in total CCR7-CD8+ effector cells, a population less regulated by this agent. Although less apparent than for patients discontinuing therapy, cells expected to be sequestered by this therapy may begin to re-emerge when TLC values are >0.6 × 10(9) lymphocytes/L.
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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 | 0.001 |
| 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) | 0.000 | 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".