|GUEVARA-CRUZ, MARTHA - Salvador Zubiran National Institute Of Medical Sciences And Nutrition
|MEDINA-VERA, ISABEL - Salvador Zubiran National Institute Of Medical Sciences And Nutrition
|FLORES-LOPEZ, ADRIAN - Salvador Zubiran National Institute Of Medical Sciences And Nutrition
|AGUILAR-LOPEZ, MIRIAM - Salvador Zubiran National Institute Of Medical Sciences And Nutrition
|SMITH, CAREN - Jean Mayer Human Nutrition Research Center On Aging At Tufts University
|LEE, YU-CHI - Jean Mayer Human Nutrition Research Center On Aging At Tufts University
|Lai, Chao Qiang
|TOVAR, ARMANDO - Salvador Zubiran National Institute Of Medical Sciences And Nutrition
|ORDOVAS, JOSE - Jean Mayer Human Nutrition Research Center On Aging At Tufts University
|TORRES, NIMBE - Salvador Zubiran National Institute Of Medical Sciences And Nutrition
Submitted to: Journal of Nutrition
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 3/8/2019
Publication Date: 5/9/2019
Citation: Guevara-Cruz, M., Medina-Vera, I., Flores-Lopez, A., Aguilar-Lopez, M., Smith, C.E., Parnell, L.D., Lee, Y., Lai, C., Tovar, A.R., Ordovas, J.M., Torres, N. 2019. Development of a genetic score to predict an increase in HDL cholesterol concentration after a dietary intervention in adults with metabolic syndrome. Journal of Nutrition. https://doi.org/10.1093/jn/nxz060.
Interpretive Summary: Personalized nutrition is based on the concept that individuals with different genetic backgrounds could respond differently to the same diet/food based on their genetic makeup. To test this notion, the investigators recruited 67 Mexican men and women at high risk of cardiovascular disease to participate in a dietary intervention study consisting of low fat and calorie reduced diet for 2.5 months. A genetic score (GS) that was calculated for each participant was based on gene variants that are associated with the response of the good-cholesterol (HDL-Cholesterol) levels to dietary interventions. The results of this study show that individuals with a low GS had more significant benefit from the diet, with increases in HDL-cholesterol levels, than those with a high GS that experienced decreases in HDL-Cholesterol levels. Moreover, these findings were replicated in an independent group of people, strengthening the study. These results provides further evidence that individuals with different levels of genetic risk respond differently to the same type of diet and supports the advantages of personalized nutrition to improve dietary prevention and treatment of disease.
Technical Abstract: Background: Dietary intervention (DI) in individuals with metabolic syndrome (MetS) is the first strategy to attenuate some of the associated metabolic abnormalities, including low HDL-cholesterol (HDL-C). There is no biomarker that can identify individuals who respond to a DI with an increase in HDL-C. Objective: The aim of this study was to assess the predictive power of a genetic predisposition score (GPS) in Mexican adults with MetS to identify HDL-C responders to DI. Methods: This study followed a prospective cohort design. Sixty seven Mexican adults aged 20-60 y (21% men) with BMI >/= 25 and = 39.9 kg/m^2, who had at least 3 of 5 positive criteria for MetS were included. Participants consumed a low saturated fat diet for 2.5 mo (<7% energy as saturated fat, <200 mg of cholesterol/d) and reduced their usual diet by 500 kcal/d, approximately 25% less of the total energy intake. Anthropometry and serum biochemical markers including HDL-C were measured before and after the DI. A multilocus GPS was constructed using previously reported genetic variants associated with the response to diet in MetS subjects. A GPS, designed to predict the response of HDL-C to the DI was computed for each individual as the sum of the number of effect alleles across fourteen SNPs. Results: After individuals were dichotomized by the median of -2.12 of the high and low GPS, we observed a difference in the HDL-C changes with a DI of +3 mg/dL (6.3 %) in subjects with low GPS, whereas those with high GPS had HDL-C decrease by -3 mg/dL (-7.9%), (P = 0.04). Conclusions: Individuals with low GPS showed greater increases in their HDL-C compared to those with high GPS. Therefore, the GPS can be useful in predicting the HDL-C response to diet.