A computational model of postprandial adipose tissue lipid metabolism derived using human arteriovenous stable isotope tracer data
Fig 3
Comparison of the Jelic, Pratt, Sips, and refined model fit to baseline flux data from the Yoyo study.
The fit of the refined model to the baseline adipose tissue flux data from the Yoyo Study is shown along with the terms from the Jelic, Pratt, and Sips models simulated using the parameter values provided in the respective publications. (A) Model terms from the Pratt (green), Jelic (blue), Sips (yellow), and refined model (red) describing the postprandial LPL mediated lipolysis of circulating triglycerides are shown. (B) Terms describing the fractional spill over of LPL derived NEFA from the Pratt, Sips, and refined adipose tissuse models are shown. The mean fractional spill over values, calculated using the postprandial palimate [U-13C] tracer included in the meal (black crosses ± standard error of mean). (C) Model terms describing the uptake of glucose into the adipose tissue from the Pratt and refined model are shown. (D) Depicts terms describing the postprandial efflux of glucose from the Pratt and refined models. (E) Model terms describing the efflux NEFA from the abdominal subcutaneous adipose tissue from the Pratt, Sips, Jelic, and refined models are shown. Metabolite fluxes are calculated as the arteriovenous difference in a metabolite across the adipose tissue multiplied by the rate of postprandial adipose tissue blood flow. The mean calculated adipose tissue fluxes are shown with the black crosses ± the standard error of the mean. Negative flux values indicate a net release of the metabolite from the adipose space, positive values indicate a net uptake.