Phenomix Sciences (Phenomix), the first commercial precision obesity medicine biotechnology company, today announces the publication of a landmark study validating the utility of its MyPhenome™ genetic obesity test. Published in Cell Metabolism, the peer-reviewed study is the first published research validating the clinical utility of MyPhenome’s genetic risk score to help predict weight loss response to two commonly prescribed anti-obesity medication classes: GLP-1 receptor agonists and phentermine/topiramate.
Led by Andres Acosta, MD, PhD, and his research team at Mayo Clinic, the study, „Genetic and Physiological Insights into Satiation Variability Predict Responses to Obesity Treatment,“ revealed MyPhenome test results can help reduce variability in response to obesity medications and enable clinicians to select more effective treatments based on a patient’s unique biology.
The study focused on an in-depth analysis of human satiation in more than 400 adults with obesity (BMI ?30). The study analyzed both genetic and non-genetic factors that influenced variability in the calories needed to reach fullness, or satiation („CTS“ or Calories to Satiation) and included a retrospective analysis of Phenomix’s machine learning gene risk score for CTS („ML-CTSGRS“). The ML-CTSGRS powers the insights generated by the MyPhenome test. The study demonstrated the clinical relevance of the CTSGRS by showing that individuals with a high CTS-GRS, or Hungry Brain phenotype, experience significantly greater weight loss when treated with phentermine/topiramate (phen-top), compared to those with a low CTS-GRS, or Hungry Gut phenotype.
