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Epitope-based precision immunotherapy of Type 1 diabetes.
Firdessa Fite, Rebuma; Bechi Genzano, Camillo; Mallone, Roberto; Creusot, Remi J.
  • Firdessa Fite R; Columbia Center for Translational Immunology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
  • Bechi Genzano C; Columbia Center for Translational Immunology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
  • Mallone R; Université Paris Cité, Institut Cochin, CNRS, INSERM, Paris, France.
  • Creusot RJ; Assistance Publique Hôpitaux de Paris, Service de Diabétologie et Immunologie Clinique, Cochin Hospital, Hôpitaux Universitaires de Paris Centre-Université de Paris, Paris, France.
Hum Vaccin Immunother ; 19(1): 2154098, 2023 12 31.
Article en En | MEDLINE | ID: mdl-36656048
ABSTRACT
Antigen-specific immunotherapies (ASITs) address important clinical needs in treating autoimmune diseases. However, Type 1 diabetes is a heterogeneous disease wherein patient characteristics influence responsiveness to ASITs. Targeting not only disease-relevant T cell populations, but also specific groups of patients using precision medicine is a new goal toward achieving effective treatment. HLA-restricted peptides provide advantages over protein as antigens, however, methods for profiling antigen-specific T cells need to improve in sensitivity, depth, and throughput to facilitate epitope selection. Delivery approaches are highly diverse, illustrating the many ways relevant antigen-presenting cell populations and anatomical locations can be targeted for tolerance induction. The role of persistence of antigen presentation in promoting durable antigen-specific tolerance requires further investigation. Based on the outcome of ASIT trials, the field is moving toward using patient-specific variations to improve efficacy, but challenges still lie on the path to delivering more effective and safer treatment to the T1D patient population.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedades Autoinmunes / Diabetes Mellitus Tipo 1 Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedades Autoinmunes / Diabetes Mellitus Tipo 1 Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article