A computational model of postprandial adipose tissue lipid metabolism derived using human arteriovenous stable isotope tracer data.

ABSTRACT: Given the association of disturbances in non-esterified fatty acid (NEFA) metabolism with the development of Type 2 Diabetes and Non-Alcoholic Fatty Liver Disease, computational models of glucose-insulin dynamics have been extended to account for the interplay with NEFA. In this study, we use arteriovenous measurement across the subcutaneous adipose tissue during a mixed meal challenge test to evaluate the performance and underlying assumptions of three existing models of adipose tissue metabolism and construct a new, refined model of adipose tissue metabolism. Our model introduces new terms, explicitly accounting for the conversion of glucose to glyceraldehye-3-phosphate, the postprandial influx of glycerol into the adipose tissue, and several physiologically relevant delays in insulin si

SUBMITTER: O'Donovan SD 

PROVIDER: S-EPMC6890259 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature