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Obesity Phenotype-targeted Treatment Choice Nearly Doubled Weight Loss in Clinical Trials: Investigator Interview


Obesity physician-scientist Andres Acosta, MD, PhD, reviews findings from recent studies he led that suggest true potential for phenotype-focused weight loss intervention.

In 2 clinical trials the use of phenotype-targeted treatment for obesity has resulted in weight loss nearly 2 times as great as that achieved with standard of care, said Andres Acosta, MD, PhD, in a conversation with Patient Care®.

In one trial, published in 2021 in the journal Obesity, obesity phenotype was used to guide choice of antiobesity medicaction. In the other, recently presented during ObesityWeek 2022, components of a lifestyle intervention for participants were selected based on obesity phenotype.

In an excerpt from the conversation below, Acosta, lead study author and director of the Mayo Clinic's Precision Medicine for Obesity lab, highlights findings from both studies and describes how lifestyle interventions are matched to each of the 4 obesity phenotypes.

For more conversations with Dr Acosta:

Andres Acosta, MD, Discusses the Challenge of Heterogeneity in Response to Obesity Treatment
Obesity Phenotypes Explain What Drives the Disease and How to Target Intervention: Expert Interview
How to Build an Obesity Phenotype Step-by-Step, with Andres Acosta, MD, PhD

Andres Acosta, MD, PhD, is a physician-scientist at Mayo Clinic's campus in Rochester, Minnesota, specializing in bariatric surgery, upper endoscopy, nutrition, and obesity. He is also an assistant professor of medicine at Mayo Clinic College of Medicine and Science. Acosta's primary research focus is on the mechanisms and regulation of appetite, satiation, and satiety, including the role of gastric function, gastrointestinal hormones, taste preferences, bile acids, and enterohepatic regulation and gut energy utilization. Additionally, Dr. Acosta studies the effect of genetics, pharmacology and endoscopic devices on food intake regulation.

Twitter @dr_aac

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