Effect of the SCL16A11 Risk Haplotype on Treatments to Prevent Type 2 Diabetes

Objectives: Dietary modification and/or metformin remain the most cost-effective treatment to prevent type 2 diabetes (T2D). Yet, there is an important variation in receiving the benefit among individuals. A haplotype in SLC16A11 is associated with decreased insulin action and risk for T2D in Mexicans. We aim to determine the impact of the risk haplotype on SLC16A11 on early therapeutic responses in treatments to prevent T2D.

Methods: We recrute individuals with at least one prediabetes criteria according to the American Diabetes Association with a body mass index (BMI) between 25 and 45 kg/m2. Participants are randomized into two groups: lifestyle intervention (LSI): hypocaloric diet, 25 kcal/kg of ideal weight, 45% of the total intake of carbohydrates, 30% lipids, and 25% protein sources + physical activity (>150 min medium intensity per week), or LSI + MET (750 mg metformin twice a day). Standardized dietitians delivere the LSI. The treatment goal is to achieve >3% weight loss during the 12-week follow-up. Participants are genotyped for the risk allele rs13342232 and rs75493593. The effects of the risk haplotype are evaluated with linear and logistic regressions adjusted by age, sex, five genetic principal components, BMI, and prediabetes criteria at baseline. Primary outcome is a significant interaction between the treatment arm and genotype in weight loss goal >3% after the treatment. Secondary outcome are differences in lipid levels and third outcome is differences in glycemic parameters (fasting glucose, HbA1c).

Inclusion criteria

• Mexican mestizos
• At least one prediabetes criteria according to the American Diabetes Association: fasting glucose between 100-124 mg/dL, Glycosylated hemoglobin (HbA1c) between 5.7-6.4, and 2-hour blood sugar between 140 mg/dl-199 mg/dl after an oral load of 75g of glucose) (1);
• Age ranged between 18-65 years
• Overweight or obesity (BMI between 25.0 - 40 kg/m2).

Exclusion criteria

• Chronic diseases
• Pregnancy
• Chronic use of medications that altered plasma glucose levels.