Multiple treatments that can change the course of type 1 diabetes have been identified over the last several years through the efforts of TrialNet, the Immune Tolerance Network and others. Although these immune therapies can stop disease progression in those with elevated blood sugars, the effect has proven to be transient in most study subjects. The ongoing effort of Type 1 Diabetes TrialNet, its Clinical Centers and affiliates is to continue to develop better therapies to prevent and reverse type 1 diabetes in human subjects. The Barbara Davis Center and its affiliate network has been a central contributor to these efforts from the beginning of DPT-1 through TrialNet and we hope with renewal of our Clinical Center to be able to continue to push towards these aims as well as develop the next generation of physician-scientists who can build on the work accomplished so far.
Our aim i s not only to conduct excellent clinical research which can answer the main study questions being examined: most often metabolic - development of impaired glucose tolerance, overt diabetes or reduced C-peptide, but also to develop immune biomarkers which can help us better understand the pathogenesis of disease progression and identify secondary markers of responder groups that allow us to better tailor our therapies to achieve successful prevention of T1D.
There are more than 1 .5 million with Type 1 diabetes in the United States and probably as many who may develop it over their lifetime. The cost of treating this disease and its complications is a major issue for our health care system. Type 1 Diabetes TrialNet was constituted to find therapies which would prevent and reverse this autoimmune disease. Although progress has been made to temporarily halt disease progression, more work to permanently stop it remains. It is the ongoing goal of the TrialNet Network through the excellent conduct of clinical trials and incorporation of relevant mechanistic studies to find treatments that can achieve these ends.
|Sanda, Srinath; Type 1 Diabetes TrialNet Study Group (2018) Increasing ICA512 autoantibody titers predict development of abnormal oral glucose tolerance tests. Pediatr Diabetes 19:271-276|
|Yeo, Lorraine; Woodwyk, Alyssa; Sood, Sanjana et al. (2018) Autoreactive T effector memory differentiation mirrors ? cell function in type 1 diabetes. J Clin Invest 128:3460-3474|
|Redondo, Maria J; Geyer, Susan; Steck, Andrea K et al. (2018) A Type 1 Diabetes Genetic Risk Score Predicts Progression of Islet Autoimmunity and Development of Type 1 Diabetes in Individuals at Risk. Diabetes Care 41:1887-1894|
|Greenbaum, Carla J; Speake, Cate; Krischer, Jeffrey et al. (2018) Strength in Numbers: Opportunities for Enhancing the Development of Effective Treatments for Type 1 Diabetes-The TrialNet Experience. Diabetes 67:1216-1225|
|Smith, Mia J; Rihanek, Marynette; Wasserfall, Clive et al. (2018) Loss of B-Cell Anergy in Type 1 Diabetes Is Associated With High-Risk HLA and Non-HLA Disease Susceptibility Alleles. Diabetes 67:697-703|
|Gavin, Patrick G; Mullaney, Jane A; Loo, Dorothy et al. (2018) Intestinal Metaproteomics Reveals Host-Microbiota Interactions in Subjects at Risk for Type 1 Diabetes. Diabetes Care 41:2178-2186|
|Haller, Michael J; Schatz, Desmond A; Skyler, Jay S et al. (2018) Low-Dose Anti-Thymocyte Globulin (ATG) Preserves ?-Cell Function and Improves HbA1c in New-Onset Type 1 Diabetes. Diabetes Care 41:1917-1925|
|Redondo, Maria J; Geyer, Susan; Steck, Andrea K et al. (2018) TCF7L2 Genetic Variants Contribute to Phenotypic Heterogeneity of Type 1 Diabetes. Diabetes Care 41:311-317|
|Sosenko, Jay M; Geyer, Susan; Skyler, Jay S et al. (2018) The influence of body mass index and age on C-peptide at the diagnosis of type 1 diabetes in children who participated in the diabetes prevention trial-type 1. Pediatr Diabetes 19:403-409|
|Michels, Aaron W; Gottlieb, Peter A (2018) Learning From Past Failures of Oral Insulin Trials. Diabetes 67:1211-1215|
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