NeuroBo Pharmaceuticals’ DA-1726 showed persistent weight loss in preclinical studies.
NeuroBo Pharmaceuticals has announced that the FDA has cleared its Investigational New Drug (IND) application for DA-1726, a novel, dual oxyntomodulin (OXM) analog agonist, according to a company press release.1
DA-1726, which showed persistent weight loss in preclinical studies, functions as a glucagon-like peptide-1 receptor (GLP1R) and glucagon receptor (GCGR). NeuroBo also announced that it will be testing the efficacy of DA-1726 with plans to initiate a Phase I clinical trial for the treatment of obesity in the first half of 2024.
"Clearance of the IND for DA-1726 allows us to proceed with the Phase 1 program for this novel GLP-1 and glucagon dual receptor, a potential new treatment to address the significant obesity market," stated Hyung Heon Kim, president and CEO of NeuroBo in the press release. "As previously reported, preclinical evidence has shown that DA-1726 results in persistent weight loss in diet-induced obese mice and rats by reducing food intake while increasing energy expenditure…Based on these results, it is our belief that DA-1726 may have a better tolerability profile than currently available GLP-1 agonists due to its balanced activation of GLP1R and glucagon receptors. We look forward to dosing the first patient with DA-1726 during the first half of this year with an expected data readout in the first half of 2025."
The Phase I trial will be a randomized, placebo-controlled, double-blind, sequential parallel group study testing the safety and tolerability of DA-1726 in single and multiple ascending doses. Part 1 of the study will test the single ascending dose with approximately 45 participants while part 2 will test the multiple ascending doses with an expected enrollment of 36.
The primary endpoint of the study will assess the safety and tolerability of DA-1726 by monitoring adverse events. The study will investigate pharmacokinetics and other exploratory endpoints such as metabolic parameters, cardiac parameters, fasting lipid levels, and body weight.
Driving Diversity with the Integrated Research Model
October 16th 2024Ashley Moultrie, CCRP, senior director, DEI & community engagement, Javara discusses current trends and challenges with achieving greater diversity in clinical trials, how integrated research organizations are bringing care directly to patients, and more.
AI in Clinical Trials: A Long, But Promising Road Ahead
May 29th 2024Stephen Pyke, chief clinical data and digital officer, Parexel, discusses how AI can be used in clinical trials to streamline operational processes, the importance of collaboration and data sharing in advancing the use of technology, and more.
The Rise of Predictive Engagement Tools in Clinical Trials
November 22nd 2024Patient attrition can be a significant barrier to the success of a randomized controlled trial (RCT). Today, with the help of AI-powered predictive engagement tools, clinical study managers are finding ways to proactively reduce attrition rates in RCTs, and increase the effectiveness of their trial. In this guide, we look at the role AI-powered patient engagement tools play in clinical research, from the problems they’re being used to solve to the areas and indications in which they’re being deployed.