Preclinical assessment of antigen-specific chimeric antigen receptor regulatory T cells for use in solid organ transplantation.
Emma ProicsMarion DavidMajid MojibianMadeline SpeckNadia Lounnas-MoureyAdeline GovehovitchWissam BaghdadiJustine DesnouveauxHervé BastianLaura FreschiGeoffrey PrivatCédric PouzetMauro GrossiPierre HeimendingerTobias AbelDavid FenardMegan K LevingsFrançois MeyerCéline DumontPublished in: Gene therapy (2022)
A primary goal in transplantation medicine is the induction of a tolerogenic environment for prevention of transplant rejection without the need for long-term pharmacological immunosuppression. Generation of alloantigen-specific regulatory T cells (Tregs) by transduction with chimeric antigen receptors (CARs) is a promising strategy to achieve this goal. This publication reports the preclinical characterization of Tregs (TR101) transduced with a human leukocyte antigen (HLA)-A*02 CAR lentiviral vector (TX200) designated to induce immunosuppression of allograft-specific effector T cells in HLA-A*02-negative recipients of HLA-A*02-positive transplants. In vitro results demonstrated specificity, immunosuppressive function, and safety of TX200-TR101. In NOD scid gamma (NSG) mice, TX200-TR101 prevented graft-versus-host disease (GvHD) in a xenogeneic GvHD model and TX200-TR101 Tregs localized to human HLA-A*02-positive skin transplants in a transplant model. TX200-TR101 persisted over the entire duration of a 3-month study in humanized HLA-A*02 NSG mice and remained stable, without switching to a proinflammatory phenotype. Concomitant tacrolimus did not impair TX200-TR101 Treg survival or their ability to inhibit peripheral blood mononuclear cell (PBMC) engraftment. These data demonstrate that TX200-TR101 is specific, stable, efficacious, and safe in preclinical models, and provide the basis for a first-in-human study.
Keyphrases
- regulatory t cells
- cell therapy
- dendritic cells
- peripheral blood
- endothelial cells
- induced pluripotent stem cells
- pluripotent stem cells
- stem cells
- emergency department
- type diabetes
- immune response
- single cell
- metabolic syndrome
- big data
- bone marrow
- mesenchymal stem cells
- acute myeloid leukemia
- acute lymphoblastic leukemia
- electronic health record
- deep learning
- skeletal muscle
- data analysis