title: High density lipoprotein cholesterol level is a robust predictor of lipid peroxidation irrespective of gender, age, obesity, and inflammatory or metabolic biomarkers.
abstract: BACKGROUND
  Obesity related dyslipidemia, chronic inflammation and oxidative stress were associated with atherosclerotic sequels. We analysed oxidized low-density lipoprotein (oxLDL) plasma levels of 797 participants of the STyrian Juvenile OBesity (STYJOBS) / Early DEteCTion of Atherosclerosis (EDECTA) Study cohort aged from 5 to 50 years. The rationale of STYJOBS/EDECTA is to investigate the preclinical phase of obesity by a well defined cohort of young and middle aged overweight/obese and normal weight subjects.
  
  
  RESULTS
  Plasma oxLDL was analysed by ELISA (Mercodia, Sweden). In the overweight/obese (OW/OB) study group, oxLDL levels were significantly increased compared to normal weighted controls (p<0.001). Probands with metabolic syndrome (MS) had significantly higher oxLDL levels than probands without MS; between overweight and obese participants, and between females and males, no significant difference was seen. In a multiple stepwise regression analysis including all study subjects, age, gender, anthropometric data, presence of metabolic syndrome, systolic, diastolic blood pressure, carotis communis intima media thickness, lipids, adipokines, metabolic, and inflammatory biomarkers, decreased high-density lipoprotein (HDL-cholesterol) and increased total cholesterol were the best predictors for increased oxLDL levels.
  
  
  CONCLUSIONS
  Decreased HDL-cholesterol is an important determinant of lipid peroxidation irrespective of obesity, age, gender, SAT distribution, and inflammatory/metabolic biomarkers.
authors.affiliation: Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria.
authors.forename: Sieglinde
authors.initials: S
authors.lastname: Zelzer
authors.forename: Nina
authors.initials: N
authors.lastname: Fuchs
authors.forename: Gunter
authors.initials: G
authors.lastname: Almer
authors.forename: Reinhard B
authors.initials: RB
authors.lastname: Raggam
authors.forename: Florian
authors.initials: F
authors.lastname: Prüller
authors.forename: Martie
authors.initials: M
authors.lastname: Truschnig-Wilders
authors.forename: Wolfgang
authors.initials: W
authors.lastname: Schnedl
authors.forename: Renate
authors.initials: R
authors.lastname: Horejsi
authors.forename: Reinhard
authors.initials: R
authors.lastname: Möller
authors.forename: Daniel
authors.initials: D
authors.lastname: Weghuber
authors.forename: Rottraut
authors.initials: R
authors.lastname: Ille
authors.forename: Harald
authors.initials: H
authors.lastname: Mangge
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D015415:Biomarkers / Q000097:blood / Q000378:metabolism; D002648:Child; D002675:Child, Preschool; D008076:Cholesterol, HDL / Q000097:blood* / Q000378:metabolism; D015331:Cohort Studies; D005260:Female; D006801:Humans; D007249:Inflammation / Q000097:blood*; D015227:Lipid Peroxidation; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood; D008875:Middle Aged; D009765:Obesity; D011237:Predictive Value of Tests; D011446:Prospective Studies; D012737:Sex Factors; D055815:Young Adult
chemical_list: D015415:Biomarkers; D008076:Cholesterol, HDL