Feasibility of manufacture of chimeric antigen receptor-regulatory T cells from patients with end-stage renal disease
Bibliographic record
Abstract
Abstract Background Gene-modified cell therapy with regulatory T cells (Tregs) is a promising approach to prevent graft rejection and induce immunological tolerance in organ transplantation. We are developing a cell therapy comprising autologous naïve Tregs that are isolated from leukapheresate, transduced with lentiviral vector encoding a chimeric antigen receptor (CAR) recognising human leukocyte antigen class I molecule A*02 (HLA-A*02), and expanded ex vivo before cryopreservation as resultant drug product (TX200-TR101). In an ongoing first-in-human study (NCT04817774), kidney transplant recipients will receive a single infusion of TX200-TR101 2–3 months after transplantation. The phase 0 study described here evaluated the feasibility of manufacture of TX200-TR101 for the target population, i.e., end-stage renal disease (ESRD) necessitating kidney transplantation. Participants in this study did not receive an infusion of drug product. Methods Four patients with ESRD and HLA-A*02 negative typing underwent leukapheresis to collect starting material for manufacture of TX200-TR101. Manufacturing success criteria were predefined as a batch of CAR-Tregs with cell quantity in each batch ≥ 10 4 cells/kg body weight, cell viability ≥ 70%, transduction efficiency ≥ 20% and hypomethylation of the FoxP3 gene (Treg-specific demethylated region [TSDR]) ≥ 80%. Other manufacturing variables included Treg identity and maturation by phenotyping, residual bead count, vector copy number, endotoxin level, sterility, and presence of mycoplasma. The characteristics of leukapheresate starting material and drug product from patients with ESRD were compared with those from commercially purchased leukapheresate from 10 healthy donors. Results No safety issues were identified during leukapheresis collections. Batches of drug product were manufactured from all 4 patients with ESRD and met the predefined success criteria. There was some variability in leukapheresate starting material in terms of volume of apheresis and total leukocyte counts between patients with ESRD and healthy donors, but percentage differential white blood cell counts were comparable. The quality, quantity and functional activity of manufactured CAR-Tregs were similar between ESRD patients and healthy donors. CAR-Treg drug product from one patient with pre-existing lymphopenia had similar high quality but reduced cell quantity compared with batches from the other patients with ESRD, although yield was still above the predefined target minimum number of cells. Conclusions Manufacture of high-quality naïve CAR-Tregs from patients with ESRD is safe and feasible.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.006 | 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".