ArticlePLoS computational biology2008
Computational lipidology: predicting lipoprotein density profiles in human blood plasma.
Article in PLoS computational biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 29 citations in OpenAlex.
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- LDL retention time in plasma can be -based on causation- estimated by the lipid composition of LDL and other lipoproteins.PloS one · 2022Article
- A mathematical model to estimate cholesterylester transfer protein (CETP) triglycerides flux in human plasma.BMC systems biology · 2019Article
- Correlation between Cholesterol, Triglycerides, Calculated, and Measured Lipoproteins: Whether Calculated Small Density Lipoprotein Fraction Predicts Cardiovascular Risks.Journal of lipids · 2017Article
- In silico modeling of the dynamics of low density lipoprotein composition via a single plasma sample.Journal of lipid research · 2016Article
- Evaluation of HDL-modulating interventions for cardiovascular risk reduction using a systems pharmacology approach.Journal of lipid research · 2016Article
- Analysis of "On/Off" Kinetics of a CETP Inhibitor Using a Mechanistic Model of Lipoprotein Metabolism and Kinetics.CPT: pharmacometrics & systems pharmacology · 2015Article
- Computationally Modeling Lipid Metabolism and Aging: A Mini-review.Computational and structural biotechnology journal · 2015Review
- A computational model for the analysis of lipoprotein distributions in the mouse: translating FPLC profiles to lipoprotein metabolism.PLoS computational biology · 2014Article
- An in-silico model of lipoprotein metabolism and kinetics for the evaluation of targets and biomarkers in the reverse cholesterol transport pathway.PLoS computational biology · 2014Article
- A physiologically based in silico kinetic model predicting plasma cholesterol concentrations in humans.Journal of lipid research · 2012Article
- A conceptual mathematical model of the dynamic self-organisation of distinct cellular organelles.PloS one · 2009Article
- Improved cholesterol phenotype analysis by a model relating lipoprotein life cycle processes to particle size.Journal of lipid research · 2009Article
- Nutritional systems biology modeling: from molecular mechanisms to physiology.PLoS computational biology · 2009Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Monitoring cholesterol levels is strongly recommended to identify patients at risk for myocardial infarction. However, clinical markers beyond "bad" and "good" cholesterol are needed to precisely predict individual lipid disorders. Our work contributes to this aim by bringing together experiment and theory. We developed a novel computer-based model of the human plasma lipoprotein metabolism in order to simulate the blood lipid levels in high resolution. Instead of focusing on a few conventionally used predefined lipoprotein density classes (LDL, HDL), we consider the entire protein and lipid composition spectrum of individual lipoprotein complexes. Subsequently, their distribution over density (which equals the lipoprotein profile) is calculated. As our main results, we (i) successfully reproduced clinically measured lipoprotein profiles of healthy subjects; (ii) assigned lipoproteins to narrow density classes, named high-resolution density sub-fractions (hrDS), revealing heterogeneous lipoprotein distributions within the major lipoprotein classes; and (iii) present model-based predictions of changes in the lipoprotein distribution elicited by disorders in underlying molecular processes. In its present state, the model offers a platform for many future applications aimed at understanding the reasons for inter-individual variability, identifying new sub-fractions of potential clinical relevance and a patient-oriented diagnosis of the potential molecular causes for individual dyslipidemia.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.