(OR20-07-26) Precision Obesity Prevention Using Nutrigenomic Biomarkers and Bioelectrical Impedance–Derived Metabolic Phenotyping

Objectives: To evaluate whether integrating nutrigenomics biomarkers with Bioelectric Impedance analysis (BIA)derived metabolic phenotyping can identify obesity risk profile and inform precision nutrition satrapies to prevent cardiometabolic diseases

Methods: A cross-sectional observational study was conducted at the Human Health Assessment and Nutrigenomics laboratory, Central State University Adult participants underwent genotyping for obesity and metabolic related variants including FTO, PPARG, APOA5, IRS1, FGF21, and TCF7L2. Body composition and metabolic phenotyping were assessed using multi frequency BIA to quantify fat mass, lean mass, visceral adiposity and metabolic indicators. Nutrigenomics data were integrated with BIA derived phenotype to examine gene diet interaction patterns associated with adiposity and metabolic risk. Association between genotypes groups and body composition indicators were estimated using descriptive and comparative analysis with effect estimates and variability measures.

Results: Participants carrying risk associated variants in FTO and PPARG demonstrated an adiposity dominant metabolic phenotype characterized by higher total body fat (8-12 % greater) and reduced fat oxidation capacity compared with non-carriers. Carriers of IRS1 and FGF21 variants exhibited a carbohydrate sensitive metabolic phenotype associated with increased visceral adiposity (10-15 % higher visceral fat index) and altered macronutrient utilization patterns measured by BIA. Integrative analysis enabled stratification of participants into distinct metabolic response phenotypes reflecting differential nutrient handling pathways and obesity susceptibility.

Conclusions: Integrating nutrigenomic marker wit BIA based metabolic phenotyping provides a scalable framework for precision nutrition guided obesity prevention. Combined genomic and phenotypic assessment may improve the identification of high risk and enable targeted dietary interventions.

Funding Sources: USDA NIFA National Institute of Food and Agricultural Central State University 1890 Land Gant