Mathematical models of lipoprotein metabolism and kinetics: current status and future perspective

被引:3
|
作者
Lu, James [1 ]
Mazer, Norman A. [1 ]
Huebner, Katrin [2 ]
机构
[1] F Hoffmann La Roche Ltd, Clin Pharmacol, Basel, Switzerland
[2] Heidelberg Univ, BioQuant, Heidelberg, Germany
关键词
HDL; lipoprotein metabolism; lipoprotein structure models; mathematical modeling; mechanistic model; molecular dynamics; reverse cholesterol transport; statistical model; tracer kinetics; whole-body model; HIGH-DENSITY-LIPOPROTEINS; APOLIPOPROTEIN-A-I; CHOLESTEROL-METABOLISM; HDL METABOLISM; LIPIDOMICS; SIMULATION; VIVO;
D O I
10.2217/clp.13.52
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Lipoprotein metabolism and kinetics comprises the time-dependent processes of synthesis, transformation and clearance of lipids, apolipoproteins and their assembled particles. By integrating and explaining the wealth of in vitro and clinical data available on lipoprotein metabolism and kinetics, mathematical models can provide novel insights into the underlying pathophysiology of lipid disorders, as well as quantify the effects of drugs intended for their treatment. In this article, we first discuss some basic principles of mathematical modeling in biology and drug development, and then review a number of recent publications in which different types of mathematical models have been used to investigate lipoprotein metabolism and kinetics. We conclude by posing a set of ten fundamental questions in this field that we believe mathematical modeling can potentially address, in the effort to develop novel and effective therapies for patients with high cardiovascular risk.
引用
收藏
页码:595 / 604
页数:10
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