TLR2 Stimulation Regulates the Balance between Regulatory T Cell and Th17 Function: A Novel Mechanism of Reduced Regulatory T Cell Function in Multiple Sclerosis
Bibliographic record
Abstract
CD4(+)CD25(hi) FOXP3(+) regulatory T cells (Tregs) maintain tolerance to self-Ags. Their defective function is involved in the pathogenesis of multiple sclerosis (MS), an inflammatory demyelinating disease of the CNS. However, the mechanisms of such defective function are poorly understood. Recently, we reported that stimulation of TLR2, which is preferentially expressed by human Tregs, reduces their suppressive function and skews them into a Th17-like phenotype. In this study, we tested the hypothesis that TLR2 activation is involved in reduced Treg function in MS. We found that Tregs from MS patients expressed higher levels of TLR2 compared with healthy controls, and stimulation with the synthetic lipopeptide Pam3Cys, an agonist of TLR1/2, reduced Treg function and induced Th17 skewing in MS patient samples more than in healthy controls. These data provide a novel mechanism underlying diminished Treg function in MS. Infections that activate TLR2 in vivo (specifically through TLR1/2 heterodimers) could shift the Treg/Th17 balance toward a proinflammatory state in MS, thereby promoting disease activity and 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) | 0.001 | 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 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".