title: Plasma lipoproteins and triacylglycerol are predictors of small, dense LDL particles.
abstract: Recently published data suggest that the assessment of LDL subfraction profiles may contribute to the determination of the cardiovascular risk. In this study, we tested the ability of various metabolic parameters to estimate the presence or the preponderance of small, dense LDL particles (sdLDL). One hundred and fifty individuals attending the Outpatient Clinics of the University Hospital of Ioannina for suspected metabolic abnormalities were included in the study. Individuals were excluded if they were found to be diabetic or if they had a history of cardiovascular disease. Patients with thyroid dysfunction, liver or kidney diseases as well as those receiving drugs that may interfere with lipids or glucose metabolism were also excluded from the study. The ability of the various parameters to identify individuals with pattern B LDL phenotype or, alternatively, with measurable quantities of sdLDL particles was tested with the calculation of the areas under the ROC curves. The ratio of triglycerides to HDL-C was the best predictor of the presence of the pattern B LDL phenotype. Nevertheless, when the variable of interest was the presence of measurable quantities of sdLDL subfractions, the ratio of apoB to apoAI had the best predictive ability. In conclusion the ratios of apoB to apoAI and of triglycerides to HDL-C can reliably predict the presence of measurable quantities of sdLDL particles and of the pattern B LDL phenotype, respectively. However, since the quantitative determination of sdLDL concentrations may contribute to the determination of the cardiovascular risk, whereas the role of the LDL particle size remains controversial, apoB to apoAI ratio could provide more valuable information compared to markers that simply predict the presence of the pattern B LDL phenotype.
authors.affiliation: Department of Internal Medicine, Medical School, University of Ioannina, 45110, Ioannina, Greece. egepi@cc.uoi.gr
authors.forename: Vasilis
authors.initials: V
authors.lastname: Tsimihodimos
authors.forename: Irene
authors.initials: I
authors.lastname: Gazi
authors.forename: Christina
authors.initials: C
authors.lastname: Kostara
authors.forename: Alexandros D
authors.initials: AD
authors.lastname: Tselepis
authors.forename: Moses
authors.initials: M
authors.lastname: Elisaf
mesh_terms: D000328:Adult; D000368:Aged; D016632:Apolipoprotein A-I / Q000097:blood / Q000378:metabolism; D001055:Apolipoproteins B / Q000097:blood / Q000378:metabolism; D015415:Biomarkers / Q000097:blood; D008076:Cholesterol, HDL / Q000097:blood / Q000378:metabolism; D005260:Female; D006801:Humans; D008077:Lipoproteins, LDL / Q000097:blood* / Q000378:metabolism; D008297:Male; D008875:Middle Aged; D010641:Phenotype; D014280:Triglycerides / Q000097:blood* / Q000378:metabolism
chemical_list: D016632:Apolipoprotein A-I; D001055:Apolipoproteins B; D015415:Biomarkers; D008076:Cholesterol, HDL; D008077:Lipoproteins, LDL; D014280:Triglycerides