Literature DB >> 7706942

Development and application of a multicompartmental model to study very low density lipoprotein subfraction metabolism.

C J Packard1, A Gaw, T Demant, J Shepherd.   

Abstract

A multicompartmental model has been devised to explain apolipoprotein B (apoB) kinetics in very low density lipoprotein subfractions (VLDL1 Sf 60-400 and VLDL2 Sf 20-60), intermediate density (IDL Sf 12-20) and low density lipoproteins (LDL Sf 0-12). Normal and hyperlipemic subjects were given tracer doses of 131I-labeled VLDL1 and 125I-labeled VLDL2 and the metabolism of apoB in VLDL1, VLDL2, IDL, and LDL was followed over a period of 13 days. VLDL1 apoB and VLDL2 apoB clearance curves had an initial shoulder, a rapid decay, and a 'tail' of slowly metabolized lipoprotein. ApoB derived from VLDL1 appeared in IDL over 10-50 h and exhibited bi-exponential decay that was attributed to the presence of two metabolically distinct species. A further compartment was required to explain the observation that a substantial proportion of apoB from VLDL2 appeared and disappeared from the IDL density range faster than apoB derived from VLDL1 delipidation. Both of the more rapidly removed IDL species gave rise to LDL apoB that was also modeled as a heterogeneous entity with two plasma compartments. The final model, which has much in common with previous versions (M. Berman et al. 1978. J. Lipid Res. 19: 38-56), a multi-step delipidation pathway and slowly metabolized remnant compartments in VLDL, incorporates parallel delipidation routes in VLDL2, IDL, and LDL. These parallel pathways linked kinetic heterogeneity in VLDL with that in IDL and LDL.

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Year:  1995        PMID: 7706942

Source DB:  PubMed          Journal:  J Lipid Res        ISSN: 0022-2275            Impact factor:   5.922


  7 in total

1.  Regulation of low-density lipoprotein particle size distribution in NIDDM and coronary disease: importance of serum triglycerides.

Authors:  S Lahdenperä; M Syvänne; J Kahri; M R Taskinen
Journal:  Diabetologia       Date:  1996-04       Impact factor: 10.122

2.  Improved cholesterol phenotype analysis by a model relating lipoprotein life cycle processes to particle size.

Authors:  Daniël B van Schalkwijk; Albert A de Graaf; Ben van Ommen; Kees van Bochove; Patrick C N Rensen; Louis M Havekes; Niek C A van de Pas; Huub C J Hoefsloot; Jan van der Greef; Andreas P Freidig
Journal:  J Lipid Res       Date:  2009-06-10       Impact factor: 5.922

3.  Hepatitis C virus G1b infection decreases the number of small low-density lipoprotein particles.

Authors:  Chika Kinoshita; Tomohisa Nagano; Nobuyoshi Seki; Yoichi Tomita; Tomonori Sugita; Yuta Aida; Munenori Itagaki; Kenichi Satoh; Satoshi Sutoh; Hiroshi Abe; Akihito Tsubota; Yoshio Aizawa
Journal:  World J Gastroenterol       Date:  2016-08-07       Impact factor: 5.742

4.  Diagnostic markers based on a computational model of lipoprotein metabolism.

Authors:  Daniël B van Schalkwijk; Ben van Ommen; Andreas P Freidig; Jan van der Greef; Albert A de Graaf
Journal:  J Clin Bioinforma       Date:  2011-10-26

5.  Improved Estimation of Human Lipoprotein Kinetics with Mixed Effects Models.

Authors:  Martin Berglund; Martin Adiels; Marja-Riitta Taskinen; Jan Borén; Bernt Wennberg
Journal:  PLoS One       Date:  2015-09-30       Impact factor: 3.240

6.  A computational model for the analysis of lipoprotein distributions in the mouse: translating FPLC profiles to lipoprotein metabolism.

Authors:  Fianne L P Sips; Christian A Tiemann; Maaike H Oosterveer; Albert K Groen; Peter A J Hilbers; Natal A W van Riel
Journal:  PLoS Comput Biol       Date:  2014-05-01       Impact factor: 4.475

Review 7.  Kinetic Studies to Elucidate Impaired Metabolism of Triglyceride-rich Lipoproteins in Humans.

Authors:  Martin Adiels; Adil Mardinoglu; Marja-Riitta Taskinen; Jan Borén
Journal:  Front Physiol       Date:  2015-11-20       Impact factor: 4.566

  7 in total

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