Synergistic activity of IL-2 mutein with tolerogenic ImmTOR nanoparticles leads to massive expansion of antigen-specific Tregs and protection against autoimmune disease
Kishimoto, T. K.; Fournier, M.; Michaud, A.; Rizzo, G.; Roy, C.; Capela, T.; Nukolova, N.; Li, N.; Doyle, L.; Fu, F.-n.; VanDyke, D.; Traber, P. G.; Spangler, J. B.; Leung, S. S.; Ilyinskii, P. O.
Show abstract
Low dose IL-2 therapy and IL-2 molecules engineered to be selective for the high affinity IL-2 receptor have been shown to expand Tregs in vivo, and, in the case of low dose IL-2 therapy, has demonstrated promising therapeutic benefit in autoimmune diseases. One of the potential limitations of IL-2 therapy is the nonselective expansion of pre-existing Treg populations rather than induction of antigen-specific Tregs, as well as potential activation of effector cells. We have recently developed biodegradable nanoparticles encapsulating rapamycin, called ImmTOR, to induce selective immune tolerance to co-administered antigens, such as immunogenic biologic drugs. Unlike Treg-selective IL-2 therapy, ImmTOR alone does not increase total Treg numbers. However, here we demonstrate that the combination of ImmTOR and an engineered Treg-selective IL-2 variant (termed IL-2 mutein) increases the number and durability of total Tregs, as well as inducing a profound synergistic increase in antigen-specific Treg when combined with a target antigen. We demonstrate that the combination of ImmTOR and an IL-2 mutein leads to durable inhibition of antibody responses to co-administered AAV gene therapy capsid, even at sub-optimal doses of ImmTOR, and provides protection in autoimmune models of type 1 diabetes and primary biliary cholangitis. ImmTOR also showed the potential to increase the therapeutic window of engineered IL-2 molecules by mitigating effector T cell expansion typically observed at higher doses of IL-2 and preventing exacerbation of disease in a model of graft-versus-host-disease. At the same time, engineered IL-2 molecules showed potential for dose-sparing of ImmTOR. Overall, these results establish that the combination of ImmTOR and an IL-2 mutein show synergistic benefit on both safety and efficacy to provide durable antigen-specific immune tolerance to mitigate drug immunogenicity and to treat autoimmune diseases.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Heterologous immunization modulates B-cell epitope competition between helper peptides and the MPER segment in MPER/liposome vaccines 95%
- Durability of DNA-LNP and mRNA-LNP Vaccine-Induced Immunity Against SARS-CoV-2 XBB.1.5 95%
- Endogenous viral elements constitute a complementary source of antigens for personalized cancer vaccines 95%
Similar papers in this journal
- Vaccination generates functional progenitor tumor-specific CD8 T cells and long-term tumor control 95%
- Intratumor Childhood Vaccine-Specific CD4+ T cell Recall Coordinates Antitumor CD8+ T cells and Eosinophils 95%
- Precision Enhancement of CAR-NK Cells through Non-Viral Engineering and Highly Multiplexed Base Editing 94%
Similar papers in this journal
Similar papers in this journal
- MDSC depletion during immunization with heat-killed Mycobacterium tuberculosis increases protection against BCG infection. 95%
- Polymeric Pathogen-like Particles-Based Combination Adjuvants Elicit Potent Mucosal T Cell Immunity to Influenza A Virus 94%
- Microglia and perivascular macrophages act as antigen presenting cells to promote CD8 T cell infiltration of the brain 94%
Similar papers in this journal
- Pre-conditioning Modifies the Tumor Microenvironment to Enhance Solid Tumor CAR T Cell Efficacy and Endogenous Immunity 95%
- A Single Dose of Self-Transcribing and Replicating RNA Based SARS-CoV-2 Vaccine Produces Protective Adaptive Immunity In Mice 94%
- Preclinical lentiviral vector-mediated hematopoietic stem and progenitor cell gene therapy corrects Pompe disease-related muscle and neurological manifestations 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.