ReviewJournal of lipid research2006
Studying apolipoprotein turnover with stable isotope tracers: correct analysis is by modeling enrichments.
Review in Journal of lipid research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 28 citations in OpenAlex.
- Microdroplet Mass Spectrometry Enables Rapid and Sensitive Measurement of Glucose Homeostasis for Elucidating Mechanism of Drug Action.Analytical chemistry · 2025Article
- Effects of APOC3 Heterozygous Deficiency on Plasma Lipid and Lipoprotein Metabolism.Arteriosclerosis, thrombosis, and vascular biology · 2019Article
- Phenylalanine isotope pulse method to measure effect of sepsis on protein breakdown and membrane transport in the pig.American journal of physiology. Endocrinology and metabolism · 2017Article
- Effects of PCSK9 Inhibition With Alirocumab on Lipoprotein Metabolism in Healthy Humans.Circulation · 2017Article
- Age and amyloid effects on human central nervous system amyloid-beta kinetics.Annals of neurology · 2015Article
- Analysis of a compartmental model of amyloid beta production, irreversible loss and exchange in humans.Mathematical biosciences · 2015Article
- Measurement of apo(a) kinetics in human subjects using a microfluidic device with tandem mass spectrometry.Rapid communications in mass spectrometry : RCM · 2013Article
- Development of a method to measure preβHDL and αHDL apoA-I enrichment for stable isotopic studies of HDL kinetics.Lipids · 2012Article
- Article
- A state space transformation can yield identifiable models for tracer kinetic studies with enrichment data.Bulletin of mathematical biology · 2010Article
- Gender-specific differences in the kinetics of nonfasting TRL, IDL, and LDL apolipoprotein B-100 in men and premenopausal women.Arteriosclerosis, thrombosis, and vascular biology · 2008Article
- Alternative equations for whole-body protein synthesis and for fractional synthetic rates of proteins.Metabolism: clinical and experimental · 2007Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Lipoprotein kinetic parameters are determined from mass spectrometry data after administering mass isotopes of amino acids, which label proteins endogenously. The standard procedure is to model the isotopic content of the labeled precursor amino acid and of proteins of interest as tracer-to-tracee ratio (TTR). It is shown here that even though the administered tracer alters amino acid mass and turnover, apolipoprotein synthesis is unaltered and hence the apolipoprotein system is in a steady state, with the total (labeled plus unlabeled) masses and fluxes remaining constant. The correct model formulation for apolipoprotein kinetics is shown to be in terms of tracer enrichment, not of TTR. The needed mathematical equations are derived. A theoretical error analysis is carried out to calculate the magnitude of error in published results using TTR modeling. It is shown that TTR modeling leads to a consistent underestimation of the fractional synthetic rate. In constant-infusion studies, the bias error percent is shown to equal approximately the plateau enrichment, generally <10%. It is shown that, in bolus studies, the underestimation error can be larger. Thus, for mass isotope studies with endogenous tracers, apolipoproteins are in a steady state and the data should be fitted by modeling enrichments.
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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.