Designing Personalized Antigen-Specific Immunotherapies for Autoimmune Diseases-The Case for Using Ignored Target

Jide Tian1, Min Song1, Daniel L Kaufman1

  • 1Department of Molecular and Medical Pharmacology, UCLA School of Medicine, University of California, Los Angeles, CA 90095-1735, USA.

Cells
|April 12, 2022
PubMed

We have proposed that antigen-specific immunotherapies (ASIs) for autoimmune diseases could be enhanced by administering target cell antigen epitopes (determinants) that are immunogenic but ignored by autoreactive T cells because these determinants may have large pools of naïve cognate T cells available for priming towards regulatory responses. Here, we identified an immunogenic preproinsulin determinant (PPIL4-20) that was ignored by autoimmune responses in type 1 diabetes (T1D)-prone NOD mice. The size of the PPIL4-20-specific splenic naive T cell pool gradually increased from 2-12 weeks in age and remained stable thereafter, while that of the major target determinant insulin B-chain9-23 decreased greatly after 12 weeks in age, presumably due to recruitment into the autoimmune response. In 15-16 week old mice, insulin B-chain9-23/alum immunization induced modest-low level of splenic T cell IL-10 and IL-4 responses, little or no spreading of these responses, and boosted IFNγ responses to itself and other autoantigens. In contrast, PPIL4-20/alum treatment induced robust IL-10 and IL-4 responses, which spread to other autoantigens and increased the frequency of splenic IL-10-secreting Treg and Tr-1-like cells, without boosting IFNγ responses to ß-cell autoantigens. In newly diabetic NOD mice, PPIL4-20, but not insulin B-chain9-23 administered intraperitoneally (with alum) or intradermally (as soluble antigen) supplemented with oral GABA induced long-term disease remission. We discuss the potential of personalized ASIs that are based on an individual's naïve autoantigen-reactive T cell pools and the use of HLA-appropriate ignored autoantigen determinants to safely enhance the efficacy of ASIs.

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