American Society for Clinical Pharmacology and Therapeutics|Wiley
Abstract
Nonalcoholic fatty liver disease (NAFLD) is closely associated with obesity. Disulfide bond‐forming oxidoreductase A‐like protein (DsbA‐L) is known to be a key molecule in protection against obesity and obesity‐induced inflammation. In the present study, we used a modeling and simulation approach in an attempt to develop body mass index (BMI) and BMI‐based NAFLD prediction models incorporating the DsbA‐L polymorphism to predict the BMI and NAFLD in 341 elderly subjects. A nonlinear mixed‐effect model best represented the sigmoidal relationship between the BMI and the logit function of the probability of NAFLD prevalence. The final models for BMI and NAFLD showed that DsbA‐L rs1917760 polymorphism, age, and gender were associated with the BMI, whereas gender, patatin‐like phospholipase 3 rs738409 polymorphism, HbA1c, and high‐density and low‐density lipoprotein cholesterol levels were associated with the risk of NAFLD. This information may aid in the genetic‐based prevention of obesity and NAFLD in the general elderly population
