title: Use of markers of dyslipidemia to identify overweight youth with insulin resistance.
abstract: BACKGROUND
  Markers to identify overweight youth with insulin resistance are of clinical importance.
  
  
  OBJECTIVE
  To determine if markers of dyslipidemia could identify overweight adolescents with insulin resistance. SETTING, PARTICIPANTS, AND STUDY DESIGN: We retrospectively examined the association between markers of dyslipidemia and insulin resistance in 35 overweight [body mass index (BMI) of > or =95th percentile], white adolescents [mean age 13.5 +/- (SD) 1.6 yr] who had participated in hyperinsulinemic-euglycemic clamp studies to evaluate insulin action. Total body fat was measured by dual-energy X-ray absorptiometry and abdominal fat with computed tomography. Using receiver-operating curves, cut-points for triglyceride (TG)/high-density lipoprotein (HDL) and TG level to identify overweight individuals in the lowest tertile for insulin sensitivity were determined.
  
  
  METHODS
  Difference in the values for insulin sensitivity among the groups.
  
  
  RESULTS
  Of the markers examined (TG, TG/HDL, adiponectin, measures of adiposity and fasting insulin), fasting insulin was the strongest correlate of insulin sensitivity (r = 0.87, p < 0.001). Youth with TG/HDL level > or =3 had lower insulin sensitivity (50% lower median values, p < 0.01) and higher visceral fat (p < 0.05) despite BMI comparable to that of youth with TG/HDL level <3. Youth with TG/HDL > or =3 had a sensitivity of 61% and specificity of 82% for identifying participants with the greatest degree of insulin resistance.
  
  
  CONCLUSIONS
  TG and TG/HDL are easily obtained markers associated with insulin resistance. Further research is needed to determine if a constellation of clinical findings, such as components of the metabolic syndrome along with other metabolic markers including adiponectin, better predicts insulin resistance in overweight youth.
authors.affiliation: Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA. tamara.hannon@chp.edu
authors.forename: Tamara S
authors.initials: TS
authors.lastname: Hannon
authors.forename: Fida
authors.initials: F
authors.lastname: Bacha
authors.forename: So Jung
authors.initials: SJ
authors.lastname: Lee
authors.forename: Janine
authors.initials: J
authors.lastname: Janosky
authors.forename: Silva A
authors.initials: SA
authors.lastname: Arslanian
mesh_terms: D050153:Abdominal Fat / Q000000981:diagnostic imaging; D015502:Absorptiometry, Photon; D000273:Adipose Tissue / Q000000981:diagnostic imaging; D000293:Adolescent; D015415:Biomarkers / Q000097:blood; D050171:Dyslipidemias / Q000097:blood*; D005260:Female; D015309:Glucose Clamp Technique; D006801:Humans; D007328:Insulin / Q000378:metabolism; D007333:Insulin Resistance; D008075:Lipoproteins, HDL / Q000097:blood*; D008297:Male; D050177:Overweight / Q000502:physiology*; D012372:ROC Curve; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed; D014280:Triglycerides / Q000097:blood*
chemical_list: D015415:Biomarkers; D007328:Insulin; D008075:Lipoproteins, HDL; D014280:Triglycerides