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Clin Lab ; 63(2): 327-333, 2017 Feb 01.
Article in English | MEDLINE | ID: mdl-28182339

ABSTRACT

BACKGROUND: Complement-C1q/TNF-related protein 13 (CTRP13) is a novel adipokine involved in the regulation of energy metabolism. Here, we sought to evaluate serum levels of CTRP13 and adiponectin in patients with type 2 diabetes (T2D) (n = 40) and healthy subjects (n = 40) and also to study the association of CTRP13 levels with diabetes-related indices. METHODS: Circulating levels of CTRP13 and adiponectin were measured by enzyme-linked immunosorbent assay (ELISA) in T2D patients (n = 40) and in an age and gender-matched control group (n = 40). The anthropometric assessment and biochemical evaluation were done in all subjects. RESULTS: Circulating levels of CTRP13 and adiponectin were significantly lower in T2D patients in comparison with controls ( = 0.025 and p < 0.001, respectively). CTRP13 was inversely correlated with fasting blood sugar (Spearman's  = -0.420, p < 0.001), HbA1C (Spearman's  = -0.554, p < 0.001), and HOMA-IR (Spearman's  = -0.403, p < 0.001). ROC curve analysis showed that CTRP13 might be used as a biomarker for differentiating T2D patients from healthy individuals (area under the curve with 95% confidence intervals = 0.841, 0.752 - 0.929). A CTRP13 level equal to or lower than 0.885 ng/mL was found to be the optimal cutoff (sensitivity = 92.5%, specificity = 70%, Youden Index = 0.625) for differentiating T2D patients from healthy individuals. CONCLUSIONS: It appears that CTRP13 is a novel adipokine associated with T2D in humans as its serum level was significantly lower in T2D patients and also was inversely correlated with insulin resistance and FBS in humans.


Subject(s)
Adipokines/blood , Diabetes Mellitus, Type 2/blood , Insulin Resistance , Adiponectin/blood , Area Under Curve , Biomarkers/blood , Blood Glucose/analysis , Case-Control Studies , Complement C1q , Diabetes Mellitus, Type 2/diagnosis , Down-Regulation , Enzyme-Linked Immunosorbent Assay , Female , Humans , Insulin/blood , Male , Middle Aged , Predictive Value of Tests , ROC Curve
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