Can associations between free fatty acid levels and metabolic parameters determine insulin resistance development in obese Zucker rats?

Abstract

Elevated levels of serum free fatty acids (FFA) may be the metabolic alteration in obesity that leads to insulin resistance (IR) and type 2 diabetes mellitus (DM). The obese Zucker rat (ZR) is a genetic model of juvenile-onset obesity and type 2 DM. Compared with its lean sibling, the obese ZR is hyperinsulinemic, hypertriglyceridemic, and, beginning at about 6 months, hyperglycemic. The obese ZR demonstrates also IR, hyperphagia, increased lipogenesis, adipocyte hypertrophy and hyperplasia, and increased serum FFA levels. This study was designed to determine if serum FFA levels in lean and obese ZRs correlate with metabolic parameters associated with altered energy metabolism and IR. We hypothesized that serum FFA levels correlate with such serum parameters such as insulin, glucose, triglyceride, and total cholesterol, as well as such tissue parameters as retroperitoneal, perirenal, and epididymal fat pad weights and liver total lipid content. Twenty lean and 20 obese ZR were age/weight matched. For 14 days each rat had ad libitum access to a single bowl diet that was 50% fat, 30% carbohydrate, and 20% protein. Body weights and caloric intakes were measured daily. After 14 days, all animals were fasted overnight and euthanized. Serum and tissue measurements were made and various parameters were correlated with FFA levels. Serum FFA levels were almost 2 times higher in the obese ZR (∼1 mmol/L) compared to the lean (∼0.6 mmol/L). Each variable measured was significantly (p ⩽ 0.05) greater in the obese ZR compared to the lean. There were significant correlations between serum FFA levels and certain variables when data from all ZR were plotted against serum and tissue parameters. However, within phenotypes, there were no significant correlations. Serum FFA levels predict serum and tissue parameters that accompany obesity and IR when comparing lean and obese rats. However, FFA do not predict such parameters within one phenotype.