Type 1 diabetes is an autoimmune disorder characterized by the selective destruction of pancreatic β cells, resulting in insulin deficiency and hyperglycemia. Studies of both humans (1) and the NOD mouse model (2, 3) have shown that β cell destruction is mediated largely by T lymphocytes. Despite the direct β cell cytotoxic role of T cells during diabetes progression, prediction of disease in both humans and the NOD mouse has been based primarily on the presence of circulating autoantibodies to putative T cell antigens (4, 5). Detection and characterization of antigen-specific T cells from peripheral blood during the progression of type 1 diabetes, or other autoimmune diseases, has thus far not been possible without in vitro manipulation. Consequently, little is known regarding the evolution of autoreactive T cell populations during the natural history of autoimmune diseases.Although the detection of antigen-specific T cells using MHC tetramers has permitted careful characterization of T cell responses to many viral and bacterial infections (6, 7), attempts to elucidate the in vivo dynamics of autoreactive T cells during the progression of autoimmune diseases have been less successful. With a single exception (8), attempts to visualize autoreactive T cells in peripheral blood or lymphoid organs ex vivo with MHC tetramers bearing naturally-occurring ligands have failed (9-14), possibly because of the lower avidity that T cells have for self versus foreign peptide/MHC ligands (15, 16). To overcome this limitation, we have engineered high-avidity peptide/MHC tetramers capable of stably interacting with low-avidity autoreactive T cells, thus facilitating their detection. The visualization of lowavidity T cell populations in peripheral blood would provide a simple, minimally invasive method for assessing the presence of autoreactive T cells within infiltrated tissues and might therefore be useful for predicting the development of autoimmune disease.The feasibility of employing a high-avidity MHC tetramer to detect relatively low-avidity autoreactive T cells was investigated using NOD mice, an extensively studied model of human type 1 diabetes (3,17). In these mice, diabetes develops by 16 to 20 weeks of age in approximately 80% of females and is preceded by a prolonged period of mononuclear cell inflammation of the Autoimmune (type 1) diabetes mellitus results from the destruction of insulin-producing pancreatic β cells by T lymphocytes. Prediction of cell-mediated autoimmune diseases by direct detection of autoreactive T cells in peripheral blood has proved elusive, in part because of their low frequency and reduced avidity for peptide MHC ligands. We demonstrate here that MHC class I tetramers complexed to a high-avidity analogue of an immunodominant β cell epitope detect diabetogenic CD8 + T cells in the peripheral blood of NOD mice ex vivo and that the quantification of this autoreactive T cell population in peripheral blood is a powerful predictor of autoimmune diabetes.This article was published online in advan...
Type 1 diabetes is an autoimmune disorder characterized by the selective destruction of pancreatic β cells, resulting in insulin deficiency and hyperglycemia. Studies of both humans (1) and the NOD mouse model (2, 3) have shown that β cell destruction is mediated largely by T lymphocytes. Despite the direct β cell cytotoxic role of T cells during diabetes progression, prediction of disease in both humans and the NOD mouse has been based primarily on the presence of circulating autoantibodies to putative T cell antigens (4, 5). Detection and characterization of antigen-specific T cells from peripheral blood during the progression of type 1 diabetes, or other autoimmune diseases, has thus far not been possible without in vitro manipulation. Consequently, little is known regarding the evolution of autoreactive T cell populations during the natural history of autoimmune diseases.Although the detection of antigen-specific T cells using MHC tetramers has permitted careful characterization of T cell responses to many viral and bacterial infections (6, 7), attempts to elucidate the in vivo dynamics of autoreactive T cells during the progression of autoimmune diseases have been less successful. With a single exception (8), attempts to visualize autoreactive T cells in peripheral blood or lymphoid organs ex vivo with MHC tetramers bearing naturally-occurring ligands have failed (9-14), possibly because of the lower avidity that T cells have for self versus foreign peptide/MHC ligands (15, 16). To overcome this limitation, we have engineered high-avidity peptide/MHC tetramers capable of stably interacting with low-avidity autoreactive T cells, thus facilitating their detection. The visualization of lowavidity T cell populations in peripheral blood would provide a simple, minimally invasive method for assessing the presence of autoreactive T cells within infiltrated tissues and might therefore be useful for predicting the development of autoimmune disease.The feasibility of employing a high-avidity MHC tetramer to detect relatively low-avidity autoreactive T cells was investigated using NOD mice, an extensively studied model of human type 1 diabetes (3,17). In these mice, diabetes develops by 16 to 20 weeks of age in approximately 80% of females and is preceded by a prolonged period of mononuclear cell inflammation of the Autoimmune (type 1) diabetes mellitus results from the destruction of insulin-producing pancreatic β cells by T lymphocytes. Prediction of cell-mediated autoimmune diseases by direct detection of autoreactive T cells in peripheral blood has proved elusive, in part because of their low frequency and reduced avidity for peptide MHC ligands. We demonstrate here that MHC class I tetramers complexed to a high-avidity analogue of an immunodominant β cell epitope detect diabetogenic CD8 + T cells in the peripheral blood of NOD mice ex vivo and that the quantification of this autoreactive T cell population in peripheral blood is a powerful predictor of autoimmune diabetes.This article was published online in advan...
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.