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LDL retention time in plasma can be -based on causation- estimated by the lipid composition of LDL and other lipoproteins

INTRODUCTION: Information on LDL’s dynamic behaviour of LDL (i.e. production rate and fractional catabolic rate) are of interest if pathologies, lipid-lowering strategies or LDL-metabolism itself are investigated. Determination of these rates is costly and elaborate. Here we studied the interrelatio...

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Autores principales: Jansen, Martin, Contini, Christine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9333322/
https://www.ncbi.nlm.nih.gov/pubmed/35901111
http://dx.doi.org/10.1371/journal.pone.0272050
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author Jansen, Martin
Contini, Christine
author_facet Jansen, Martin
Contini, Christine
author_sort Jansen, Martin
collection PubMed
description INTRODUCTION: Information on LDL’s dynamic behaviour of LDL (i.e. production rate and fractional catabolic rate) are of interest if pathologies, lipid-lowering strategies or LDL-metabolism itself are investigated. Determination of these rates is costly and elaborate. Here we studied the interrelationship of LDL mass, its composition and other lipoproteins. Based on this data, we deducted information about LDL’s dynamic behaviour. METHODS: Lipoprotein profiles of n = 236 participants are evaluated. Plasma was separated by sequential ultracentrifugation into VLDL, IDL, LDL and HDL. Additionally, LDL and HDL were separated into subfractions. Stepwise multiple linear regressions were used to study LDL’s ApoB mass and lipid composition. Relying on these results and on causation, we constructed a mathematical model to estimate LDL’s retention time. RESULTS: The ApoB mass in LDL correlated best among all measured parameters (including corresponding lipid compositions but using no LDL-associated parameters) with the cholesterol ester content in IDL. TG/CE ratios in LDL’s subfractions were strongly correlated with the corresponding ratios in IDL and HDL. The constructed mathematical model links the TG/CE ratio of LDL and HDL to LDL’s ApoB concentration and enables a good estimate of LDL’s retention time in plasma. DISCUSSION: Relying on our statistic evaluations, we assume that i) the production of nascent LDL via IDL as well as ii) LDL’s prolonged retention are mapped by the TG/CE ratio in LDL subfractions. HDL’s TG/CE ratio is associated with the change in LDL’s TG/CE ratio during its retention in plasma. Our mathematical model uses this information and enables–by relying on causation- a good estimation of LDL’s retention time.
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spelling pubmed-93333222022-07-29 LDL retention time in plasma can be -based on causation- estimated by the lipid composition of LDL and other lipoproteins Jansen, Martin Contini, Christine PLoS One Research Article INTRODUCTION: Information on LDL’s dynamic behaviour of LDL (i.e. production rate and fractional catabolic rate) are of interest if pathologies, lipid-lowering strategies or LDL-metabolism itself are investigated. Determination of these rates is costly and elaborate. Here we studied the interrelationship of LDL mass, its composition and other lipoproteins. Based on this data, we deducted information about LDL’s dynamic behaviour. METHODS: Lipoprotein profiles of n = 236 participants are evaluated. Plasma was separated by sequential ultracentrifugation into VLDL, IDL, LDL and HDL. Additionally, LDL and HDL were separated into subfractions. Stepwise multiple linear regressions were used to study LDL’s ApoB mass and lipid composition. Relying on these results and on causation, we constructed a mathematical model to estimate LDL’s retention time. RESULTS: The ApoB mass in LDL correlated best among all measured parameters (including corresponding lipid compositions but using no LDL-associated parameters) with the cholesterol ester content in IDL. TG/CE ratios in LDL’s subfractions were strongly correlated with the corresponding ratios in IDL and HDL. The constructed mathematical model links the TG/CE ratio of LDL and HDL to LDL’s ApoB concentration and enables a good estimate of LDL’s retention time in plasma. DISCUSSION: Relying on our statistic evaluations, we assume that i) the production of nascent LDL via IDL as well as ii) LDL’s prolonged retention are mapped by the TG/CE ratio in LDL subfractions. HDL’s TG/CE ratio is associated with the change in LDL’s TG/CE ratio during its retention in plasma. Our mathematical model uses this information and enables–by relying on causation- a good estimation of LDL’s retention time. Public Library of Science 2022-07-28 /pmc/articles/PMC9333322/ /pubmed/35901111 http://dx.doi.org/10.1371/journal.pone.0272050 Text en © 2022 Jansen, Contini https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Jansen, Martin
Contini, Christine
LDL retention time in plasma can be -based on causation- estimated by the lipid composition of LDL and other lipoproteins
title LDL retention time in plasma can be -based on causation- estimated by the lipid composition of LDL and other lipoproteins
title_full LDL retention time in plasma can be -based on causation- estimated by the lipid composition of LDL and other lipoproteins
title_fullStr LDL retention time in plasma can be -based on causation- estimated by the lipid composition of LDL and other lipoproteins
title_full_unstemmed LDL retention time in plasma can be -based on causation- estimated by the lipid composition of LDL and other lipoproteins
title_short LDL retention time in plasma can be -based on causation- estimated by the lipid composition of LDL and other lipoproteins
title_sort ldl retention time in plasma can be -based on causation- estimated by the lipid composition of ldl and other lipoproteins
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9333322/
https://www.ncbi.nlm.nih.gov/pubmed/35901111
http://dx.doi.org/10.1371/journal.pone.0272050
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