title: Low density lipoprotein apolipoprotein B metabolism: comparison of two methods to establish kinetic parameters.
abstract: Elevated plasma cholesterol concentrations represent a major risk factor for coronary artery disease (CAD). Low density lipoprotein (LDL)-apolipoprotein (apo) B plays a key role in this process. Metabolic parameters of LDL-apoB such as fractional catabolic rate (FCR) and production rate help to understand the underlying pathomechanisms of elevated LDL-apoB and are usually determined with tracer studies (gold-standard). However, these parameters can also be calculated from the rebound of plasma LDL-apoB concentration following a perturbation such as apheresis, if it is assumed that the perturbation itself does not affect metabolic parameters. LDL-apoB metabolism was determined using two methods in eight hyperlipoproteinemic patients (47 +/- 15 years, body mass index (BMI) 27.5 +/- 4.1 kg/m): (a) by endogenous labeling using D3-leucine (bolus 5 mg/kg) as tracer and multicompartmental modeling; and (b) by fitting a monoexponential equation to LDL-apoB rebound concentration data following apheresis. LDL-apoB metabolic parameters determined using the two methods (mean +/- S.D.; FCR-tracer: 0.18 +/- 0.07 per day, FCR-rebound: 0.27 +/- 0.25 per day; production-tracer: 12.0 +/- 3.9 mg/kg per day; production-rebound: 15.2 +/- 8.0 mg/kg per day) were not correlated, were not concordant (intraclass correlation coefficient), and were not significantly different. Furthermore, only in five of the eight patients the rebound analysis predicted LDL-apoB steady-state concentrations that were within 20% of observed steady-state concentrations. These results indicate that parameters derived from LDL-apoB mass rebound following apheresis cannot be used as a surrogate for parameters established with tracer methodology probably because the assumption that apheresis does not affect metabolic parameters of LDL-apoB may not be true in all patients.
authors.affiliation: Department of Internal Medicine II, Klinikum Grosshadern, Ludwig-Maximilians University, Munich, Germany. parhofer@med2.med.uni-muenchen.de
authors.forename: K G
authors.initials: KG
authors.lastname: Parhofer
authors.forename: P H
authors.initials: PH
authors.lastname: Barrett
authors.forename: P
authors.initials: P
authors.lastname: Schwandt
mesh_terms: D000328:Adult; D001055:Apolipoproteins B / Q000032:analysis / Q000378:metabolism*; D015415:Biomarkers / Q000032:analysis; D001781:Blood Component Removal; D005260:Female; D006801:Humans; D006949:Hyperlipidemias / Q000175:diagnosis* / Q000378:metabolism* / Q000628:therapy; D006938:Hyperlipoproteinemia Type II / Q000175:diagnosis / Q000378:metabolism / Q000628:therapy; D016014:Linear Models; D008077:Lipoproteins, LDL / Q000032:analysis / Q000378:metabolism*; D008297:Male; D008875:Middle Aged; D011379:Prognosis; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index
chemical_list: D001055:Apolipoproteins B; D015415:Biomarkers; D008077:Lipoproteins, LDL