Article ; Online: Synthetic Cell-Based Immunotherapies for Neurologic Diseases.
Neurology(R) neuroimmunology & neuroinflammation
2023 Volume 10, Issue 5
Abstract: The therapeutic success and widespread approval of genetically engineered T cells for a variety of hematologic malignancies spurred the development of synthetic cell-based immunotherapies for CNS lymphoma, primary brain tumors, and a growing spectrum of ... ...
Abstract | The therapeutic success and widespread approval of genetically engineered T cells for a variety of hematologic malignancies spurred the development of synthetic cell-based immunotherapies for CNS lymphoma, primary brain tumors, and a growing spectrum of nononcologic disease conditions of the nervous system. Chimeric antigen receptor effector T cells bear the potential to deplete target cells with higher efficacy, better tissue penetration, and greater depth than antibody-based cell depletion therapies. In multiple sclerosis and other autoimmune disorders, engineered T-cell therapies are being designed and currently tested in clinical trials for their safety and efficacy to eliminate pathogenic B-lineage cells. Chimeric autoantibody receptor T cells expressing a disease-relevant autoantigen as cell surface domains are designed to selectively deplete autoreactive B cells. Alternative to cell depletion, synthetic antigen-specific regulatory T cells can be engineered to locally restrain inflammation, support immune tolerance, or efficiently deliver neuroprotective factors in brain diseases in which current therapeutic options are very limited. In this article, we illustrate prospects and bottlenecks for the clinical development and implementation of engineered cellular immunotherapies in neurologic diseases. |
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MeSH term(s) | Humans ; Artificial Cells ; Nervous System Diseases/therapy ; Immunotherapy ; Brain Diseases ; Autoantibodies |
Chemical Substances | Autoantibodies |
Language | English |
Publishing date | 2023-06-29 |
Publishing country | United States |
Document type | Journal Article ; Review |
ZDB-ID | 2767740-0 |
ISSN | 2332-7812 ; 2332-7812 |
ISSN (online) | 2332-7812 |
ISSN | 2332-7812 |
DOI | 10.1212/NXI.0000000000200139 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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