Current Studies

“My management has never been this good, and in all of my 22 years as a T1D, I have never felt better.”

-A Closed-Loop Trial Participant

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Recruiting

Nightlight: The Nightlight closed-loop algorithm is the first specifically engineered to adapt its mode of operation during the course of every night: first, the Nightlight algorithm mitigates after-dinner high blood sugar levels; then it keeps the person safe from hypoglycemia all night long, and “slides” to a target morning glucose level of 120mg/dl to reset his/her metabolic state back to normal for the start of a new day. The Nightlight algorithm was tested in studies in Virginia (UVA), New York (Mount Sinai), Minnesota (Mayo Clinic), California (Stanford), France (Montpellier), and Italy (Padova). Now, a new long-term project begins which will use the Nightlight algorithm for months at home. This study is funded by the NIH. Recruiting.

Dual Hormone: This is an in-patient overnight trial to study the most suitable combination of insulin and pramlintide to keep blood sugar within a normal range (70-140 mg/dL) overnight. Information from this trial will help us design a new artificial pancreas system that will be tested in future clinical trials. To find out more, please contact Jennifer Pinnata at jp3te@virginia.edu. Recruiting.

Decision Support Smartphone System: This study will gather preliminary data on an advisory system for individuals with type 1 diabetes who use multiple daily injections (shots) to administer their insulin. This study will take place at Mt. Sinai, Stanford and UVA. Recruiting.

International Diabetes Closed-Loop Trial: IDCL is seeking 240 individuals with type 1 diabetes for a 6-month-long clinical research study. The study will take place at 10 locations throughout the United States and Europe. Click here to find out more.

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Results Soon

Glucose Variability: The purpose of this study is to demonstrate the safety and feasibility of a Decision Support System aimed at reducing your glucose variability. The Decision Support System will be used on our portable medical application platform called Diabetes Assistant (DiAs) and will include your new insulin parameters and an exercise warning system. The exercise warning system is intended to predict your hypoglycemia at the start of exercise and will suggest alternative treatment. Participation in this study will require 5 study visits, including two overnight stays, within approximately 10 weeks. Trial complete. Results Soon.

Adaptive: The purpose of this study is to see if an closed-loop control system can safely be used at home to manage your blood sugar, and if optimizing your basal rates improves the functioning of the closed-loop system. This study will be carried out at 3 clinical sites: UVA, Sansum Diabetes Research Institute (Santa Barbara, CA) and Mayo Clinic (Rochester, MN).  Done Recruiting. Results Soon.

Safety at Home: The purpose of this study is to evaluate whether long-term use of an AP system can reduce the occurrence of low blood sugar in  subjects with hypoglycemia unawareness (the inability to feel low blood sugars) or a high risk of low blood sugar. Done Recruiting. Results Soon.

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Completed

AP Use in Young Children: The purpose of this study is to learn from parents and pediatric endocrinologists about current insulin pump use and features that they believe could improve young children’s diabetes care. The study will use information gained in focus groups and surveys to create models of a young child automated insulin delivery system, which will be used in an upcoming clinical trial. Trial complete. Results.

Family Member Studies

The onset of type 1 diabetes is not well understood, and the goal of this study is to obtain new information about the early stages of the disease. We are studying the link between the progression of the immune attack and the two main hormones responsible for its regulation: insulin and glucagon. We are seeking individuals 12 to 45 years old who have family members with type 1 diabetes. If you are interested in participating or would like more information, please contact Jennifer Puskaric at 434-924-7164 or jlw5k@virginia.edu.