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Area of Science:

  • Genomics and Personalized Medicine
  • Preventive Health Strategies
  • Metabolic and Cardiovascular Health

Background:

  • Disease risk is influenced by both genetic and lifestyle factors, necessitating integrated approaches for prevention.
  • While lifestyle coaching benefits are known, its interaction with genetic predisposition remains understudied.
  • Multi-omic data integration offers a pathway for tailored health interventions.

Purpose of the Study:

  • To evaluate the clinical impact of a 'Scientific Wellness' program integrating multi-omic data and lifestyle coaching.
  • To investigate the influence of genetic predisposition on individual responses to lifestyle interventions.
  • To assess changes in 55 clinical markers across cardiometabolic, inflammatory, nutritional, and anthropometric domains.

Main Methods:

  • Observational study of 2531 participants in a commercial Scientific Wellness program.
  • Combination of multi-omic data analysis with personalized telephonic lifestyle coaching.
  • Longitudinal assessment of 55 clinical markers and their association with genetic predispositions.

Main Results:

  • Sustained improvements observed in cardiometabolic risk, inflammation, nutrition, and anthropometric markers.
  • Hemoglobin A1c (HbA1c) improvements were comparable to those in major clinical trials.
  • Genetic markers correlated with clinical changes; e.g., lower LDL-C decrease in those genetically predisposed to higher LDL-C.

Conclusions:

  • A program integrating multi-omic data and lifestyle coaching yields clinically significant health improvements.
  • Genetic predisposition plays a role in modulating individual responses to lifestyle interventions.
  • This approach supports personalized prevention strategies by accounting for genetic insights.