Literature DB >> 9633923

Development of compartmental models in stable-isotope experiments: application to lipid metabolism.

F Pont1, L Duvillard, B Vergès, P Gambert.   

Abstract

Kinetic experiments are of great importance in lipid research because they further the understanding of lipid metabolism in vivo and help to explain the physiopathology of lipid disorders in humans. At present, due to species specificity, no valid animal model can efficiently replace a study in humans to explore lipid metabolism, and the use of radioactive tracers is restricted in humans. Thus, stable-isotope tracer kinetic studies have become an important component of research programs to achieve in humans a quantitative understanding of the dynamics of metabolic processes in vivo. The aim of this review is to describe the practical aspects of compartmental model development in stable-isotope experiments. The recent development of computer hardware and modeling software has dramatically facilitated the task of the modeler in his or her calculations. In the current review, we show that the model may be considered an integral component of the experimental design and that model development must obey strict rules to provide a rigorous solution. The main difficulties of model development in tracer experiments, such as experiment design, model identifiability, data expression, comparison of models, or tracer recycling, are presented with extensive references. We have paid particular attention to kinetic modeling in stable-isotope experiments because they have shown the greatest development in recent years.

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Year:  1998        PMID: 9633923     DOI: 10.1161/01.atv.18.6.853

Source DB:  PubMed          Journal:  Arterioscler Thromb Vasc Biol        ISSN: 1079-5642            Impact factor:   8.311


  7 in total

1.  A state space transformation can yield identifiable models for tracer kinetic studies with enrichment data.

Authors:  Rajasekhar Ramakrishnan; Janak D Ramakrishnan
Journal:  Bull Math Biol       Date:  2010-03-03       Impact factor: 1.758

2.  Normal metabolism of apolipoprotein B100-containing lipoproteins despite qualitative abnormalities in type 1 diabetic men.

Authors:  L Duvillard; E Florentin; M L Lalanne-Mistrich; J M Petit; S Baillot-Rudoni; A Brun-Pacaud; J M Brun; P Gambert; B Vergès
Journal:  Diabetologia       Date:  2005-05-26       Impact factor: 10.122

3.  Effects of 20 mg rosuvastatin on VLDL1-, VLDL2-, IDL- and LDL-ApoB kinetics in type 2 diabetes.

Authors:  B Vergès; E Florentin; S Baillot-Rudoni; S Monier; J M Petit; D Rageot; P Gambert; L Duvillard
Journal:  Diabetologia       Date:  2008-06-05       Impact factor: 10.122

4.  Using mass measurements in tracer studies--a systematic approach to efficient modeling.

Authors:  Rajasekhar Ramakrishnan; Janak D Ramakrishnan
Journal:  Metabolism       Date:  2008-08       Impact factor: 8.694

5.  Rosuvastatin 20 mg restores normal HDL-apoA-I kinetics in type 2 diabetes.

Authors:  Bruno Vergès; Emmanuel Florentin; Sabine Baillot-Rudoni; Jean-Michel Petit; Marie Claude Brindisi; Jean-Paul Pais de Barros; Laurent Lagrost; Philippe Gambert; Laurence Duvillard
Journal:  J Lipid Res       Date:  2009-01-22       Impact factor: 5.922

6.  Retinol kinetics in unsupplemented and vitamin A-retinoic acid supplemented neonatal rats: a preliminary model.

Authors:  Libo Tan; Amanda E Wray; Michael H Green; A Catharine Ross
Journal:  J Lipid Res       Date:  2014-04-07       Impact factor: 5.922

7.  A whole-body mathematical model of cholesterol metabolism and its age-associated dysregulation.

Authors:  Mark T Mc Auley; Darren J Wilkinson; Janette J L Jones; Thomas B L Kirkwood
Journal:  BMC Syst Biol       Date:  2012-10-10
  7 in total

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