Metabolic Phenotyping for Personalized Obesity Therapy

This study aims to develop a simple, clinically applicable method for metabolic phenotyping to personalize obesity therapy in morbidly obese individuals. The underlying concept is that the way a person's resting metabolic rate (RMR) responds to a 24-hour fast can help distinguish between two metabolic phenotypes. Individuals with a "thrifty" metabolism show a significant drop in RMR during fasting, which may make them less responsive to conventional weight loss interventions. In contrast, those with a "spendthrift" metabolism exhibit little to no drop-or even a slight increase-in RMR, suggesting they may lose weight more readily. The trial is designed as a prospective, single-center, longitudinal cohort study involving 20 morbidly obese patients (BMI \>40 kg/m²) who are already participating in a multimodal obesity therapy program. The study is divided into three phases. In the baseline phase, participants undergo comprehensive screening, which includes physical examinations, blood tests, and body composition assessments. RMR is measured using indirect calorimetry both before and after a 24-hour fasting period, and a device (Lumen™) is used to assess whether the body is primarily burning carbohydrates or fats. After the fasting measurements, participants perform a low-protein meal test by consuming a specially calibrated chocolate beverage. Their RMR is then monitored at several time points to determine the energy required for digestion. Following this, the study moves into the very-low-calorie diet (VLCD) phase, where participants consume approximately 800 kcal per day using formula meals tailored to meet their nutritional needs despite the calorie restriction. During this 12-week phase, changes in body weight, composition, and metabolic parameters are closely monitored. The final phase of the study is a 12-week weight maintenance period, during which the focus is on sustaining the achieved weight loss. In addition to RMR and dietary assessments, advanced techni