title: Association of adiponectin, resistin and high sensitive CRP level with the metabolic syndrome in childhood and adolescence.
abstract: Early markers are required in pathophysiological process of obesity, MS and type 2 diabetes. We aimed to clarify the usefulness of serum adipokines (adiponectin, AD and resistin) and inflammatory markers to identify obese and overweight children with MS. Three hundred and seven of 2 491 subjects aged 11-19 with BMI> or =85 centile selected with a multistage, stratified sampling were included. Their height, weight and waist circumference were measured, all subjects underwent physical examination and standard OGTT. AD, resistin and hs-CRP were measured from baseline blood sample. The mean age of subjects was 14.2+/-1.8, 57.7% was girl (n=177) and 42.3% (n=130) boy. Of the 307 subjects 40 (13%) were classified as having MS. Serum AD levels were significantly lower in boys (p=0.02), and decreased while BMI increased, but this trend was not significant (p>0.05). Although median resistin values were higher in obese than others (20, 18.5, 17 ng/ml, respectively) it was not significant (p>0.05). In obese subjects, hs-CRP levels were significantly high (0.21 mg/L) (p=0.000). All three markers in obese and overweight children with and without MS were not significant (p>0.05). Girls with MS had lower adiponectin levels than those without MS. Waist circumference had the highest sensitivity and specificity for predicting MS in ROC analysis. The area under the curve (AUC) was 0.831 for WC standard error (SE) 0.033; 95% CI 0.767-0.896; p<0.0001. But the AUCs for the adiponectin, resistin, hs-CRP were not significant. In this study, we observed that adipokines or inflammatory markers have no predictive value in the diagnosis of MS. We concluded that the best marker for MS diagnosis is the measurement of waist circumference.
authors.affiliation: Division of Endocrinology and Diabetes, Department of Pediatrics, Kocaeli University, Faculty of Medicine, Kocaeli, Turkey. filizcizmeci@gmail.com
authors.forename: F M
authors.initials: FM
authors.lastname: Cizmecioglu
authors.forename: N
authors.initials: N
authors.lastname: Etiler
authors.forename: A
authors.initials: A
authors.lastname: Ergen
authors.forename: U
authors.initials: U
authors.lastname: Gormus
authors.forename: A
authors.initials: A
authors.lastname: Keser
authors.forename: N
authors.initials: N
authors.lastname: Hekim
authors.forename: O
authors.initials: O
authors.lastname: Hamzaoglu
authors.forename: S
authors.initials: S
authors.lastname: Hatun
mesh_terms: D052242:Adiponectin / Q000097:blood*; D000293:Adolescent; D000704:Analysis of Variance; D019540:Area Under Curve; D015415:Biomarkers / Q000378:metabolism; D015992:Body Mass Index; D002097:C-Reactive Protein / Q000378:metabolism*; D002648:Child; D005260:Female; D006801:Humans; D007333:Insulin Resistance; D008297:Male; D024821:Metabolic Syndrome / Q000175:diagnosis / Q000378:metabolism*; D009765:Obesity / Q000175:diagnosis / Q000378:metabolism*; D011237:Predictive Value of Tests; D052243:Resistin / Q000097:blood*; D012737:Sex Factors; D018709:Statistics, Nonparametric; D055815:Young Adult
chemical_list: D052242:Adiponectin; D015415:Biomarkers; D052243:Resistin; D002097:C-Reactive Protein