Diabetes Type 2 clinical trials at UCSD

The purpose of the trial is to assess the efficacy and safety of tirzepatide to dulaglutide in participants with type 2 diabetes and increased cardiovascular risk.

Trial Title A randomized, double blind sham controlled clinical trial to evaluate the efficacy of vestibular nerve stimulation (VeNS), together with a lifestyle modification program, compared to a sham control with a lifestyle modification program, as a means of improving glycemic control in adults with type 2 diabetes mellitus. The aim of this study is to evaluate the efficacy of non-invasive electrical vestibular nerve stimulation (VeNS), together with a lifestyle modification program, as a method of reducing HbA1c, as compared to a sham control. Allocation: Randomized to either active device or control device usage. All subjects will receive the same lifestyle advice. Endpoint classification: Efficacy Study Intervention Model: Parallel Assignment in 1:1 active to control allocation Trial Participants: Those who have been diagnosed with Type 2 diabetes mellitus. Sample Size: The aim is to recruit a total of 200 participants. Planned Trial Period: The study will last 24 weeks in total for each subject. The primary analysis will be conducted at the 24 weeks timepoint. The study in total is estimated to take about 1.5 years to complete.

This study will examine the effects THC has on Glucose Metabolism and Endothelial Functioning in participants with Type 2 Diabetes. The participants will complete blood tests and tests to measure energy expenditure, CVD risks, and glucose metabolism. These tests will be performed prior to start of treatment and again after 2-weeks of treatment with the THC or placebo.

The study will collect a cross-sectional dataset of 4000 people across the US from diverse racial/ethnic groups who are either 1) healthy, or 2) belong in one of the three stages of diabetes severity (pre-diabetes/diet controlled, oral medication and/or non-insulin-injectable medication controlled, or insulin dependent), forming a total of four groups of patients. Clinical data (social determinants of health surveys, continuous glucose monitoring data, biomarkers, genetic data, retinal imaging, cognitive testing, etc.) will be collected. The purpose of this project is data generation to allow future creation of artificial intelligence/machine learning (AI/ML) algorithms aimed at defining disease trajectories and underlying genetic links in different racial/ethnic cohorts. A smaller subgroup of participants will be invited to come for a follow-up visit in year 4 of the project (longitudinal arm of the study). Data will be placed in an open-source repository and samples will be sent to the study sample repository and used for future research.