CD19-chimeric antigen receptor-invariant natural killer T cells transactivate NK cells and reduce alloreactivity
Bibliographic record
Abstract
Invariant natural killer T (iNKT) cells are a small fraction of T lymphocytes with strong cytotoxic and immunoregulatory properties. We previously showed that human culture-expanded iNKT cells prevent alloreactivity and lyse primary leukemia blasts. Here, iNKT cells have several advantages over T cells based on their immunoregulatory capabilities. Since chimeric antigen receptors (CARs) increase the benefit of immune effector cells, they play a crucial role in improvement of cytotoxic abilities of novel cellular therapeutics such as iNKT cells. In the present study, we investigated transactivation of NK cells and prevention of alloreactivity through iNKT cells transduced with a CD19-directed CAR. iNKT cells were isolated by magnetic cell separation from peripheral blood mononuclear cells and transduced with a CD19-CAR retrovirus. Transduction efficiency, purity and cell subsets were measured by flow cytometry. Transactivation and cytotoxicity assays have been established to investigate the ability of CD19-CAR-iNKT cells to transactivate primary NK cells. A mixed lymphocyte reaction (MLR) was performed to explore the inhibition of alloreactive CD3+ T cells by CD19-CAR-iNKT cells. CD19-CAR-iNKT cells are able to transactivate NK cells independent of cell contact: The expression of activation marker CD69 was significantly increased and also production of the proinflammatory cytokine interferon-gamma was higher in NK cells pretreated with CD19-CAR-iNKT cells. Consequently, the cytotoxic activity of such NK cells was significantly increased being able to lyse leukemia cells more effectively than without prior transactivation. Adding CD19-CAR-iNKT cells to an MLR resulted in a decreased expression of the T cell activation marker CD25 on alloreactive CD3+ T lymphocytes stimulated with HLA mismatched dendritic cells. Also, the proliferation of alloreactive CD3+ T lymphocytes was significantly reduced in this setting. We demonstrate that CD19-CAR-iNKT cells keep their immunoregulatory properties despite transduction with a CAR making them an attractive effector cell population for application after allogeneic hematopoietic cell transplantation. By transactivating NK cells, increasing their cytotoxic activity and suppressing alloreactive T cells, they might further improve outcomes through prevention of both relapse and graft-versus-host disease.
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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 | 0.000 | 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".