IRS1 Genotype Modulates Metabolic Syndrome Reversion in Response to 2-Year Weight-Loss Diet Intervention The POUNDS LOST trial Featured Article: Qibin.

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IRS1 Genotype Modulates Metabolic Syndrome Reversion in Response to 2-Year Weight-Loss Diet Intervention The POUNDS LOST trial Featured Article: Qibin Qi, P.H.D., Min Xu, M.D., P.H.D., Hongyu Wu, P.H.D., Liming Liang, P.H.D., Catherine M. Champagne, P.H.D., George A. Bray, M.D., Frank M. Sacks, M.D., Lu Qi, M.D., P.H.D. Diabetes Care Volume 36: November, 2013

STUDY OBJECTIVE Genetic variants near IRS1 are associated with features of the metabolic syndrome (MetS) We examined whether genetic variants near IRS1 might modulate the effects of diets varying in fat content on the MetS status in a 2-year weight-loss trial Qi Q. et al. Diabetes Care 2013;36:

STUDY DESIGN AND METHODS Two variants near IRS1 (rs and rs ) were genotyped in 738 overweight/obese adults randomly assigned to one of four weight-loss diets Diets varied in macronutrient content and lasted for 2 years MetS status of high-fat (40% caloric intake) and low-fat (20% caloric intake) diet groups differentiated by genotypes was compared (rs A-allele carriers and noncarriers and rs T-allele carriers and noncarriers) Qi Q. et al. Diabetes Care 2013;36:

RESULTS Among rs A-allele carriers, reversion rates of MetS were higher in the high-fat diet group than in the low-fat diet group No significant difference between diet groups was observed among noncarriers Genetic modulation on dietary effect was independent of weight changes Qi Q. et al. Diabetes Care 2013;36:

RESULTS Odds ratio (OR) for the 2-year reversion of the MetS was 2.88, comparing the high-fat and low-fat diets among rs A-allele carriers Corresponding OR was 0.83 in noncarriers rs was not observed to modulate dietary effects on the MetS status Qi Q. et al. Diabetes Care 2013;36:

CONCLUSIONS High-fat weight-loss diets might be more effective in the management of the MetS compared with low-fat diets among individuals with the A-allele of the rs variant near IRS1 Qi Q. et al. Diabetes Care 2013;36: