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The MetaboHealth Score Enhances Insulin Resistance Metabotyping for Targeted Fat Loss: The PERSON Study
Jordi Morwani-Mangnani1, Fatih A Bogaards1,2, Alexander Umanets3
1Section of Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands.
Combining insulin resistance metabotypes with the MetaboHealth score refines personalized nutrition for fat loss. The healthiest individuals benefited most from matched diets, while those with poorer health showed similar results across diets.
Area of Science:
- Metabolic Health
- Nutrition Science
- Personalized Medicine
Background:
- Distinct muscle and liver insulin resistance (IR) metabotypes identified in adults.
- The MetaboHealth score predicts mortality, frailty, and cognitive decline risks.
- Previous research linked specific diets to benefits for muscle or liver IR groups.
Purpose of the Study:
- To investigate the interaction between IR metabotypes and the MetaboHealth score.
- To determine effects on cardiometabolic health and body composition in IR adults.
- To inform precision nutrition strategies for insulin resistance.
Main Methods:
- 242 adults (40-75 years) with IR randomized to low-fat/high-protein/high-fiber or high-monounsaturated fatty acid diets for 12 weeks.
- 184 participants with complete data categorized into MetaboHealth tertiles (higher score = poorer health).
- Oral glucose tolerance tests and DXA scans assessed outcomes; linear mixed models analyzed interactions.
Main Results:
- No significant interactions found for cardiometabolic outcomes.
- Significant interactions observed for android/gynoid fat, total fat percentage, and fat mass index.
- In the healthiest MetaboHealth tertile, matched diets yielded greater fat loss; in the poorest tertile, diets were similarly effective.
Conclusions:
- Combining IR metabotype and MetaboHealth score enhances personalized dietary strategies for fat loss.
- This approach offers a more refined method for targeting nutrition in insulin-resistant populations.
- Further research can validate these findings for broader clinical application.
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