ArticleClinical and experimental immunology2011
Structure-guided design of an invariant natural killer T cell agonist for optimum protection from type 1 diabetes in non-obese diabetic mice.
Article in Clinical and experimental immunology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 23 citations in OpenAlex.
- Helminth protection against type-1 diabetes: an insight into immunomodulatory effect of helminth-induced infection.Molecular biology reports · 2021Review
- Chronic stress physically spares but functionally impairs innate-like invariant T cells.Cell reports · 2021Article
- Helminths protect against type 1 diabetes: effects and mechanisms.Parasitology research · 2019Review
- Comparative efficacy and tolerability of treatments for adult autoimmune hepatitis: A systematic review and network meta-analysis.Experimental and therapeutic medicine · 2018Article
- The two faces of invariant natural killer T cells.Biomedical journal · 2015Article
- Regulatory role of natural killer T cells in diabetes.Biomedical journal · 2015Review
- Selective Conditions Are Required for the Induction of Invariant NKT Cell Hyporesponsiveness by Antigenic Stimulation.Journal of immunology (Baltimore, Md. : 1950) · 2015Article
- Cell mediators of autoimmune hepatitis and their therapeutic implications.Digestive diseases and sciences · 2015Review
- Different subsets of natural killer T cells may vary in their roles in health and disease.Immunology · 2014Review
- Advances in the cellular immunological pathogenesis of type 1 diabetes.Journal of cellular and molecular medicine · 2014Review
- Challenges in the diagnosis and management of autoimmune hepatitis.Canadian journal of gastroenterology = Journal canadien de gastroenterologie · 2013Review
- Therapeutic manipulation of natural killer (NK) T cells in autoimmunity: are we close to reality?Clinical and experimental immunology · 2013Review
- The immunosuppressive role of adenosine A2A receptors in ischemia reperfusion injury and islet transplantation.Current diabetes reviews · 2012Article
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
Because invariant natural killer T (iNK T) cells link innate and adaptive immunity, the structure-dependent design of iNK T cell agonists may have therapeutic value as vaccines for many indications, including autoimmune disease. Previously, we showed that treatment of non-obese diabetic (NOD) mice with the iNK T cell activating prototypic glycolipid α-galactosylceramide (α-GalCer) protects them from type 1 diabetes (T1D). However, α-GalCer is a strong agonist that can hyperactivate iNK T cells, elicit several side effects and has shown only limited success in clinical trials. Here, we used a structure-guided design approach to identify an iNK T cell agonist that optimally protects from T1D with minimal side effects. Analyses of the kinetics and function of a panel of synthetic α-GalCer fatty acyl chain derivatives (C8:0-C16:0) were performed in NOD mice. C16:0 elicited the highest protection from insulitis and T1D, which was associated with a higher frequency and survival of iNK T cells and enhanced activity of tolerogenic dendritic cells (DCs) in draining pancreatic lymph nodes (PLN), inability to transactivate NK cells and a more rapid kinetics of induction and recovery of iNK T cells from anergy. We conclude that the length and structure of the acyl chain of α-GalCer regulates the level of protection against T1D in mice, and propose that the extent of this protection depends on the relative capacity of the acyl chain to accommodate an endogenous spacer lipid of appropriate length and structure. Thus, our findings with the α-GalCer C16:0 derivative suggest strongly that it be considered as a lead glycolipid candidate in clinical trials of T1D.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.