A minimal model for hepatic fatty acid balance during fasting: application to PPAR alpha-deficient mice.

J Theor Biol

INRA, UMR 1079 Systèmes d'Elevage, Nutrition Animale et Humaine, F-35590 Saint Gilles, France.

Published: November 2009

AI Article Synopsis

  • The study aims to determine the significance of various pathways in fatty acid metabolism and their regulators in the liver, particularly focusing on the role of PPARalpha.
  • A modeling approach was used on experimental data from fasting mice with and without the PPARalpha gene to create a comprehensive model of fatty acid dynamics in the liver.
  • Results indicated that while PPARalpha significantly influences fatty acid oxidation, in its absence, fatty acid uptake becomes the primary pathway affecting liver fatty acid composition during fasting.

Article Abstract

The purpose of this study is to identify the hierarchy of importance amongst pathways involved in fatty acid (FA) metabolism and their regulators in the control of hepatic FA composition. A modeling approach was applied to experimental data obtained during fasting in PPARalpha knockout (KO) mice and wild-type mice. A step-by-step procedure was used in which a very simple model was completed by additional pathways until the model fitted correctly the measured quantities of FA in the liver. The resulting model included FA uptake by the liver, FA oxidation, elongation and desaturation of FA, which were found active in both genotypes during fasting. From the model analysis we concluded that PPARalpha had a strong effect on FA oxidation. There were no indications that this effect changes during the fasting period, and it was thus considered to be constant. In PPARalpha KO mice, FA uptake was identified as the main pathway responsible for FA variation in the liver. The models showed that FA were oxidized at a constant and small rate, whereas desaturation of FA also occurred during fasting. The latter observation was rather unexpected, but was confirmed experimentally by the measurement of delta-6-desaturase mRNA using real-time quantitative PCR (QPCR). These results confirm that mathematical models can be a useful tool in identifying new biological hypotheses and nutritional routes in metabolism.

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Source
http://dx.doi.org/10.1016/j.jtbi.2009.07.025DOI Listing

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