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Updated: Sep 18, 2025
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Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
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Phenotype-Driven Variability in Longitudinal Body Composition Changes After a Very Low-Calorie Ketogenic
Victor de la O1,2, Begoña de Cuevillas1, Miksa Henkrich1
1Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute, Campus of International Excellence (CEI) UAM+CSIC, 28049 Madrid, Spain.
Journal of Personalized Medicine
|June 25, 2025
Summary
Very low-calorie ketogenic diets (VLCKD) show significant weight loss, particularly in males and those with higher initial weight. This study identifies key predictors for personalized obesity management strategies.
Area of Science:
- Obesity research
- Nutritional science
- Metabolic health
Background:
- Obesity is a global health challenge with limited effective solutions.
- Caloric restriction is a common but variably successful intervention.
- Very low-calorie ketogenic diets (VLCKD) promote weight loss, reduce appetite, and preserve lean mass.
Purpose of the Study:
- Identify predictors of weight loss success in a VLCKD program.
- Classify patient phenotypes for personalized treatment.
- Optimize obesity management strategies.
Main Methods:
- Prospective clinical study of 7775 patients on a multidisciplinary VLCKD program.
- Analysis of sociodemographic, anthropometric, and adherence data.
- Application of statistical and machine learning for predictive analysis and patient clustering.
Main Results:
- Male gender and higher initial body weight are strong predictors of greater weight loss.
- Age has a less significant impact on weight loss outcomes.
- Two distinct patient clusters emerged with unique weight-loss patterns, aiding personalized strategy development.
Conclusions:
- Multidisciplinary VLCKD programs are effective for weight loss.
- Sex, age, and initial weight are crucial predictors for personalized obesity management.
- Precision-based approaches enhance treatment efficacy for diverse patient profiles.
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