Clinical Research Directory

Evaluation of the Safety and Efficacy of Revita® DMR on Body Weight Maintenance in Subjects With Obesity Who Have Achieved at Least 15% Weight Loss on Tirzepatide

Fractyl is evaluating Revita Duodenal Mucosal Resurfacing (DMR) in the REMAIN-1 pivotal study, which is designed to include two cohorts - an open label cohort referred to as REVEAL-1, and a randomized cohort, which includes both a midpoint analysis and a pivotal analysis. Patients who previously lost at least 15% of their body weight on a GLP-1 can qualify for the open label REVEAL-1 cohort. The data generated from the REVEAL-1 cohort will be used for open label reporting as the study progresses. The REMAIN-1 randomized cohort will enroll patients living with obesity and a body mass index ("BMI") between 30 and 45 kg/m2 who are not currently on a GLP-1 drug. Patients will be prescribed tirzepatide and titrated to achieve at least 15% total body weight loss, at which time tirzepatide will be discontinued and patients will be randomized to Revita versus sham at 2:1. Midpoint Analysis of Randomized Cohort: The midpoint analysis of the randomized cohort will be performed at three months of follow-up on approximately 45 patients, allowing us to assess and report on safety and efficacy signals that could be anticipated in the pivotal analysis. These patients are distinct from those included in the pivotal analysis. Pivotal Analysis of Randomized Cohort: The pivotal analysis of the randomized cohort will be performed on approximately 315 patients (distinct from those included in the midpoint analysis) and will evaluate safety and efficacy in the first co-primary endpoint, which is weight regain from the time of tirzepatide discontinuation in Revita DMR versus sham patients at six months, with a primary objective of demonstrating a benefit of Revita DMR versus sham for weight maintenance after GLP-1 discontinuation. The second co-primary endpoint evaluates a responder rate among the Revita DMR treated group at one year to demonstrate the durability of the Revita DMR procedure for weight maintenance after discontinuation of a GLP-1-based therapy. Secondary objectives will include evaluation of the effectiveness of the Revita DMR procedure on the change in blood glucose levels, cardiovascular disease ("CVD") risk factors, body composition and pre-diabetes status. All patients enrolled in the study will receive diet and lifestyle counseling.

Linking Temporal Patterns of Modifiable Behaviors to Weight Loss Outcomes

This study is designed as an observational trial. The objective of this study is to follow-up with participants 3 years after completion of an 18-month comprehensive behavioral weight loss intervention. Outcomes of interest include change in body weight, body composition, physical activity, energy intake, and sleep. In addition, investigators will explore the associations between current physical activity, sleep, and energy intake patterns and body weight regulation.

Multi-Modal Digital Interventions for Adolescent Weight Management

The goal of this randomized controlled trial is to evaluate the effectiveness of a multi-modal digital intervention, based on the Theory of Planned Behavior (TPB), in promoting healthy weight control behaviors among overweight and obese adolescents. This study also aims to reduce the risk of unhealthy weight control behaviors by leveraging artificial intelligence-driven coaching, interactive platforms, gamified applications, and real-time feedback mechanisms. The main questions this study aims to answer are: 1. Can a multi-modal digital intervention effectively modify adolescents' primary beliefs underlying TPB constructs (attitude, subjective norms, and perceived behavioral control)? 2. How do TPB constructs influence weight control intentions, and how do these intentions translate into either healthy or unhealthy weight control behaviors? What role do adolescents' body image, body satisfaction, and mental health play in moderating the relationship between weight control intention and behavior? Participants will: 1. Be adolescents aged 12-18 years with a BMI ≥ 85th percentile. 2. Be randomly assigned to either the intervention group (multi-modal digital intervention) or the control group (general health education). 3. Engage in AI-driven coaching, interactive digital sessions, and gamified experiences tailored to TPB constructs. 4. Complete biweekly sessions over a period of three months (each session lasting two hours). 5. Receive personalized feedback and real-time monitoring through the Virti platform. 6. Participate in follow-up assessments at one month and three months post-intervention. Researchers will compare the intervention group to the control group to determine whether the multi-modal digital intervention leads to a higher adoption of healthy weight control behaviors and a lower prevalence of unhealthy weight control behaviors.

Peanut Consumption on Cognitive, Weight, and Inflammation

A multi-school, two-arm parallel cluster-randomized controlled trial will be conducted in 200 healthy young adolescents from Barcelona (Spain) to evaluate the effect of peanut consumption on cognitive performance, weight management and inflammation. Schools willing to participate will be randomly assigned to either the intervention or the control group. After the recruitment, the participants will follow a peanut-free diet for two weeks. Both arms will receive a multidimensional educational intervention designed by the Gasol Foundation to promote healthy dietary habits based on Mediterranean diet recommendations, along with exercise performance, healthy sleeping habits and emotional knowledge. Half of the participants (intervention group) will consume 25 g of whole skin roasted peanuts as a daily snack to be incorporated into their diet for six months.

POWERMOM, A Healthy Pregnancy Research Community

This study will take advantage of the open source framework of ResearchKit developed by Apple to bring research directly to participants. Using the ResearchKit platform as well as a stand alone app available for Android and HTML, it makes it easier to enroll large numbers of participants and carry out real-world health research to answer questions important to a broad population.