| Literature DB >> 29503042 |
Stefanie Koristka1, Alexandra Kegler1, Ralf Bergmann1, Claudia Arndt1, Anja Feldmann1, Susann Albert2, Marc Cartellieri3, Armin Ehninger4, Gerhard Ehninger5, Jan Moritz Middeke6, Martin Bornhäuser5, Marc Schmitz7, Jens Pietzsch8, Katja Akgün9, Tjalf Ziemssen9, Jörg Steinbach10, Michael P Bachmann11.
Abstract
As regulatory T cells (Tregs) play a fundamental role in immune homeostasis their adoptive transfer emerged as a promising treatment strategy for inflammation-related diseases. Preclinical animal models underline the superiority of antigen-specific Tregs compared to polyclonal cells. Here, we applied a modular chimeric antigen receptor (CAR) technology called UniCAR for generation of antigen-specific human Tregs. In contrast to conventional CARs, UniCAR-endowed Tregs are indirectly linked to their target cells via a separate targeting module (TM). Thus, transduced Tregs can be applied universally as their antigen-specificity is easily adjusted by TM exchange. Activation of UniCAR-engrafted Tregs occurred in strict dependence on the TM, facilitating a precise control over Treg activity. In order to augment efficacy and safety, different intracellular signaling domains were tested. Both 4-1BB (CD137) and CD28 costimulation induced strong suppressive function of genetically modified Tregs. However, in light of safety issues, UniCARs comprising a CD137-CD3ζ signaling domain emerged as constructs of choice for a clinical application of redirected Tregs. In that regard, Tregs isolated from patients suffering from autoimmune or inflammatory diseases were, for the first time, successfully engineered with UniCAR 137/ζ and efficiently suppressed patient-derived effector cells. Overall, the UniCAR platform represents a promising approach to improve Treg-based immunotherapies for tolerance induction.Entities:
Keywords: CD137 (4-1BB); CD28; Chimeric antigen receptor; Immunotherapy; Regulatory T cells
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Year: 2018 PMID: 29503042 DOI: 10.1016/j.jaut.2018.02.006
Source DB: PubMed Journal: J Autoimmun ISSN: 0896-8411 Impact factor: 7.094