Central Role of CD45RA− Foxp3hi Memory Regulatory T Cells in Clinical Kidney Transplantation Tolerance
Bibliographic record
Abstract
The role of Foxp3(+) regulatory T cells (Tregs) in operational tolerance remains elusive, as initial results revealed an increased frequency of this subset in tolerant patients but no functional differences compared with immunosuppressed recipients. In addition, recent studies of regulatory B cells strongly suggest that Tregs may not have a central role in kidney transplantation tolerance. However, recent investigations of the crucial role of Foxp3 demethylation in Treg function and the possibility of identifying distinct Foxp3 T cell subsets prompted us to more thoroughly characterize Tregs in operationally tolerant patients. Thus, we studied the level of demethylation of the Foxp3 Treg-specific demethylated region (TSDR) in circulating CD4(+) T cells and analyzed Treg subset frequency in tolerant patients, healthy volunteers, patients with stable graft function under immunosuppression, and chronically rejecting recipients. We observed a higher proportion of CD4(+) T cells with demethylated Foxp3 and a specific expansion of CD4(+) CD45RA(-) Foxp3(hi) memory Tregs exclusively in tolerant patients. The memory Tregs of tolerant recipients exhibited increased Foxp3 TSDR demethylation, expressed higher levels of CD39 and glucocorticoid-induced TNF-related receptor, and harbored greater suppressive properties than memory Tregs from patients with stable graft function. Taken together, our data demonstrate that operationally tolerant patients mobilize an array of potentially suppressive cells, including not only regulatory B cells but also Tregs. Our results also indicate that tolerant patients have potent CD4(+)CD45RA(-) Foxp3(hi) memory Tregs with a specific Foxp3 TSDR demethylation pattern, which may contribute to the maintenance of graft tolerance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| 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".