Abstract

Diabetes TrialNet is an international clinical trial network aimed to delay or prevent the onset of type 1 diabetes. As described, the new Diabetes TrialNet structure will now include a Diabetes TrialNet Clinical Hub, the Director of which will be part of the TrialNet leadership team including representatives of the NIH, the TrialNet Coordinating Center, and TrialNet chairman. The Benaroya Research Institute (BRI) serves as a nexus of T1D research, and with decades of clinical trial experience in T1D prediction and prevention, Dr. Greenbaum is uniquely qualified to serve as the TrialNet Clinical Network Hub (HUB). This application describes our proposal to become the Diabetes TrialNet Clinical HUB. We focus on three areas; activities to (a) enhance risk screening and prevention trial recruitment, (b) support clinical trials, and (c) enhance clinical administration and include proposed pilot studies to test innovative ideas for increasing recruitment, retention, and cost efficiencies.

Public Health Relevance

Diabetes TrialNet is an international clinical trial network aimed to delay or prevent the onset of type 1 diabetes. This is an application from Dr. Greenbaum and the Benaroya Research Institute to become the Diabetes TrialNet Clinical Hub whose activities are designed to facilitate achieving this aim. The Director of the Diabetes TrialNet Clinical Hub will be part of the TrialNet leadership team including representatives of the NIH, the TrialNet Coordinating Center, and TrialNet chairman.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01DK103282-05
Application #
9480842
Study Section
Special Emphasis Panel (ZDK1)
Program Officer
Leschek, Ellen W
Project Start
2014-07-31
Project End
2019-04-30
Budget Start
2018-05-01
Budget End
2019-04-30
Support Year
5
Fiscal Year
2018
Total Cost
Indirect Cost

  Institution

Name
Benaroya Research Institute at Virginia Mason
Department
Type
DUNS #
076647908
City
Seattle
State
WA
Country
United States
Zip Code
98101

  Publications

Vecchio, Federica; Lo Buono, Nicola; Stabilini, Angela et al. (2018) Abnormal neutrophil signature in the blood and pancreas of presymptomatic and symptomatic type 1 diabetes. JCI Insight 3:
Redondo, Maria J; Steck, Andrea K; Sosenko, Jay et al. (2018) Transcription Factor 7-Like 2 (TCF7L2) Gene Polymorphism and Progression From Single to Multiple Autoantibody Positivity in Individuals at Risk for Type 1 Diabetes. Diabetes Care 41:2480-2486
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
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
Bosi, Emanuele; Boulware, David C; Becker, Dorothy J et al. (2017) Impact of Age and Antibody Type on Progression From Single to Multiple Autoantibodies in Type 1 Diabetes Relatives. J Clin Endocrinol Metab 102:2881-2886

Showing the most recent 10 out of 16 publications