Natural Naive CD4+CD25+CD127low Regulatory T Cell (Treg) Development and Function Are Disturbed in Multiple Sclerosis Patients: Recovery of Memory Treg Homeostasis during Disease Progression
Bibliographic record
Abstract
Patients with relapsing-remitting multiple sclerosis (RR-MS) show a suboptimal CD4(+)CD25(+) regulatory T cell (Treg) function, whereas no Treg alterations are observed in secondary progressive MS (SP-MS) patients. To clarify the difference in Treg activity between early and chronic disease stages in MS, we analyzed the functional capacity and homeostatic parameters of naive CD4(+)CD25(+)CD127(low)CD45RA(+) Tregs (nTregs) and their memory counterparts CD4(+)CD25(+)CD127(low)CD45RO(+) Tregs (mTregs) in untreated MS patients and healthy controls. Interestingly, whereas the suppressive capacity of FACS-sorted nTregs was impaired in both early and chronic MS patients, only the latter group showed a restored mTreg function. Consistent with this observation, chronic MS patients had increased numbers of mTregs as compared with age-matched early MS patients, whereas nTreg frequencies did not differ significantly. TCR excision circle numbers were reduced in nTregs of early MS patients, suggestive of a diminished nTreg thymic output. Moreover, a decreased number of CD31(+) mTregs were observed in early vs chronic MS patients, indicating that inflammatory processes drive the homeostatic turnover of mTregs during the early disease stage. Additionally, early MS patients showed a more restricted nTreg and mTreg TCR BV gene profile as compared with healthy controls and chronic MS patients. Finally, analysis of IFN-beta and glatiramer acetate-treated MS patients showed that these immunomodulatory drugs modify nTreg homeostasis. Taken together, this study provides strong evidence for a disturbed thymic nTreg development and function in MS patients. Moreover, memory Treg but not naive Treg homeostasis recovers during disease progression.
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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 | 0.001 | 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) | 0.001 | 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".