Clinical grade expansion protocol for the manufacture of thymus-derived Treg cells for clinical application
Bibliographic record
Abstract
BACKGROUND: Adoptive transfer of regulatory T cells (Tregs) has provided promising results in treating autoimmune disorders, transplant rejection and graft versus-host disease in early clinical trials. However, major challenges remain for developing a standardized and robust good manufacturing practice (GMP)-compliant cell product which is severely hampered by low frequency of Tregs in circulation and laborious ex vivo expansion. METHODS: Paediatric thymuses routinely obtained during heart surgery have been shown by us and others to be a valuable source of large numbers of pure Tregs (Thy-Tregs). Here we show results from our process development approach including systematic laboratory-scale testing of activation reagents, restimulation timing, and cryopreservation to translate our expansion protocol of Thy-Tregs into a clinical grade cell product. RESULTS: enrichment were expanded with αCD3/αCD28 beads in the presence of Rapamycin and IL-2 for 10-23 days using G-Rex bioreactors. We successfully embedded bead removal and final formulation of a cryopreserved cell product ready to be used at bedside transfusion. CONCLUSION: This process has proved the capability of efficiently producing high number of functional Thy-Tregs, which will be administered as cell therapy in children undergoing heart transplantation (ATT-Heart, ISRCTN15374803), and enhancing the potential of using expanded Thy-Tregs for broad-ranging therapeutic applications.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".