Type 1 diabetes arises in genetically predisposed individuals as a consequence of the immune-mediated destruction of the pancreatic islet insulin secreting beta cells. The onset of clinical symptoms of diabetes represents a relative endpoint in the chronic progressive decline of beta cell function, and occurs when a preponderance of beta cell mass is lost. The Diabetes Prevention Trial -Type 1 (DPT-1) and Type 1 Diabetes TrialNet have shown: 1) that multi-center cooperative research in type 1 diabetes can be efficiently coordinated on a national and international level and 2) that type 1 diabetes can be predicted with a high degree of accuracy in relatives of patients with type 1 diabetes by the presence of autoantibodies and evidence of pancreatic beta-cell dysfunction. These studies have enabled identification of a large number of patients at the very early stages of their disease prior to the onset of hyperglycemia. Evidence, both in animal models of type-1 diabetes and in human trials, has shown that it is possible to alter the course of beta cell destruction utilizing numerous interventions. Increasingly, novel immunologic agents characterized in investigations of other autoimmune disorders and in the field of organ transplantation have been proposed for the treatment of autoimmune diabetes. One such agent, the anti-CD20 drug rituximab (RituxanR, Genentech, South San Francisco and Biogen) originally developed for treatment of B-cell lymphoma, is now approved for treatment of rheumatoid arthritis, another classically T-cell mediated disease. Results of the TrialNet Rituximab new-onset intervention study, designed by the Co-PI for this study proposal Dr. Mark Pescovitz, has now provided evidence for safety and efficacy of this treatment modality in type 1 diabetes. We propose to extend and expand our participation in Type 1 Diabetes TrialNet as a Clinical Center. As the Clinical Center that proposed the use of rituximab in a new-onset intervention trail and the leader in subject recruitment for that study, IU is uniquely qualified to conduct a prevention study utilizing this agent.
This application is in accordance with the RFA-DK-08-011 solicitation to invite sites to apply to become TrialNet Clinical Centers. Centers will carry out the TrialNet Natural History Study and prevention and new-onset intervention studies while overseeing a network of Affiliate Centers and additional clinical sites that will recruit and follow individuals with T1D and those at risk for development of the disease.
|Sosenko, Jay M (2016) Staging the progression to type 1 diabetes with prediagnostic markers. Curr Opin Endocrinol Diabetes Obes 23:297-305|
|Meah, Farah A; DiMeglio, Linda A; Greenbaum, Carla J et al. (2016) The relationship between BMI and insulin resistance and progression from single to multiple autoantibody positivity and type 1 diabetes among TrialNet Pathway to Prevention participants. Diabetologia 59:1186-95|
|Xu, Ping; Krischer, Jeffrey P; Type 1 Diabetes TrialNet Study Group (2016) Prognostic Classification Factors Associated With Development of Multiple Autoantibodies, Dysglycemia, and Type 1 Diabetes-A Recursive Partitioning Analysis. Diabetes Care 39:1036-44|
|Fouts, Alexandra; Pyle, Laura; Yu, Liping et al. (2016) Do Electrochemiluminescence Assays Improve Prediction of Time to Type 1 Diabetes in Autoantibody-Positive TrialNet Subjects? Diabetes Care 39:1738-44|
|Triolo, Taylor M; Maahs, David M; Pyle, Laura et al. (2016) Effects of Frequency of Sensor-Augmented Pump Use on HbA1c and C-Peptide Levels in the First Year of Type 1 Diabetes. Diabetes Care 39:e61-2|
|Narsale, Aditi; Moya, Rosita; Robertson, Hannah Kathryn et al. (2016) Data on correlations between T cell subset frequencies and length of partial remission in type 1 diabetes. Data Brief 8:1348-51|
|Bundy, Brian N; Krischer, Jeffrey P; Type 1 Diabetes TrialNet Study Group (2016) A model-based approach to sample size estimation in recent onset type 1 diabetes. Diabetes Metab Res Rev 32:827-834|
|Pugliese, Alberto; Boulware, David; Yu, Liping et al. (2016) HLA-DRB1*15:01-DQA1*01:02-DQB1*06:02 Haplotype Protects Autoantibody-Positive Relatives From Type 1 Diabetes Throughout the Stages of Disease Progression. Diabetes 65:1109-19|
|Hao, Wei; Gitelman, Steven; DiMeglio, Linda A et al. (2016) Fall in C-Peptide During First 4 Years From Diagnosis of Type 1 Diabetes: Variable Relation to Age, HbA1c, and Insulin Dose. Diabetes Care 39:1664-70|
|Bingley, Polly J; Boulware, David C; Krischer, Jeffrey P et al. (2016) The implications of autoantibodies to a single islet antigen in relatives with normal glucose tolerance: development of other autoantibodies and progression to type 1 diabetes. Diabetologia 59:542-9|
Showing the most recent 10 out of 46 publications