title: Lipid levels in obese and nonobese subjects as predictors of fasting and postload glucose metabolism.
abstract: BACKGROUND
  Dyslipidemia in the overweight/obese patient often is associated with impaired glucose metabolism. The authors of large clinical trials in different ethnic groups highlighted the correlation between glycemia and lipid profile, although the effect of abdominal adiposity was not explored.
  
  
  OBJECTIVE
  To evaluate the relationship of visceral adiposity and lipid profile with fasting (FPG) and postload glucose (2hPG) in subjects without known diabetes (DM2).
  
  
  METHODS
  A total of 3030 subjects were divided in three groups: obese subjects (OB; n = 490), nonobese subjects with an increased waist circumference (NOB/W+; n = 500), and nonobese subjects without an increased waist circumference (NOB/W-; n = 2040). We performed a linear regression analysis among lipid fractions and fasting and 2hPG in the three groups, with or without diagnosis of DM2 after 2hPG.
  
  
  RESULTS
  Our data confirmed the significant association (P < .01) of high triglycerides and low high-density lipoprotein cholesterol (HDL-C) with fasting and 2hPG in all three groups such as for non-HDL cholesterol, whereas total cholesterol (TC) showed a significant correlation only with fasting glucose in OB and NOB/W+ subjects (P < .01). The analysis with or without DM2 demonstrated no difference in the statistical significance, although a better correlation in subjects without DM2 was observed. In addition, for each quartile of TC a significant trend (P < .01) in prevalence of fasting hyperglycemia in obese and in NOB/W+ patients was observed.
  
  
  CONCLUSIONS
  This study suggests that triglycerides and HDL-C, together with non-HDL cholesterol, are associated with impaired fasting and 2hPG and that high total cholesterol levels are associated with abnormalities of fasting glucose metabolism only in patients with elevated waist circumference.
authors.affiliation: Section of Endocrinology, Department of Clinical Pathophysiology, University of Florence, Viale Pieraccini 6, 50134, Florence, Italy. s.giannini@dfc.unifi.it
authors.forename: Stefano
authors.initials: S
authors.lastname: Giannini
authors.forename: Gianluca
authors.initials: G
authors.lastname: Bardini
authors.forename: Ilaria
authors.initials: I
authors.lastname: Dicembrini
authors.forename: Matteo
authors.initials: M
authors.lastname: Monami
authors.forename: Carlo Maria
authors.initials: CM
authors.lastname: Rotella
authors.forename: Edoardo
authors.initials: E
authors.lastname: Mannucci
mesh_terms: D050154:Adiposity; D000328:Adult; D000368:Aged; D001786:Blood Glucose / Q000378:metabolism*; D003924:Diabetes Mellitus, Type 2 / Q000097:blood / Q000378:metabolism / Q000473:pathology / Q000503:physiopathology; D005215:Fasting / Q000378:metabolism*; D005260:Female; D006801:Humans; D050152:Intra-Abdominal Fat / Q000378:metabolism; D016014:Linear Models; D008055:Lipids / Q000097:blood*; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009765:Obesity / Q000097:blood* / Q000378:metabolism* / Q000473:pathology / Q000503:physiopathology; D013997:Time Factors
chemical_list: D001786:Blood Glucose; D008055:Lipids