Predictive value of ceruloplasmin for metabolic syndrome in adolescents

Author:

González‐Jiménez Emilio1,Schmidt‐Riovalle Jacqueline1,Sinausía Laura2,Carmen Valenza Maríe3,Perona Javier S.2

Affiliation:

1. Departamento De Enfermería Facultad De Ciencias De La Salud, Universidad De Granada, Granada Spain

2. Instituto De La Grasa (CSIC), Campus Universidad Pablo De Olavide Seville 41013 Spain

3. Departamento De Fisioterapia Facultad De Ciencias De La Salud, Universidad De Granada, Granada Spain

Abstract

AbstractThe metabolic syndrome (MetS) is precisely defined and the cardiovascular risk associated with the clustering of its components has been demonstrated in adults. However, data on children and adolescents are still scarce, in part, because of difficulties in transposing the definition from adults. The identification of risk factors for the development of MetS at an early age is essential for prevention purposes with low‐grade inflammation acting as a determinant for the association among the MetS components. The aim of this study was to investigate the associations of the MetS with systemic markers of inflammation and ceruloplasmin in a population of adolescents. The present is a cross‐sectional study whose sample population consisted of 976 adolescents, 13.2 ± 1.2 years of age. Interleukin‐6 (IL‐6) and tumor necrosis factor‐α (TNF‐α) were determined by ELISA. High‐sensitivity C‐reactive protein (hs‐CRP) was determined by a solid‐phase chemiluminiscent immunometric assay. Ceruloplasmin was measured by immunoturbidimetry. MetS adolescents exhibited higher levels of TNF−α, IL‐6, CRP, and ceruloplasmin compared to non‐MetS individuals. TNF−α, IL‐6, and CRP showed strong correlations with the MetS components and insulin resistance but not relevant predictive values according to ROC curves (AUC values 0.544‐ 0.555). In contrast, ceruloplasmin only showed significant correlations in non‐Mets individuals, but exhibited a very high predictive value (AUC=0.941, P < 0.001). The determination of serum ceruloplasmin in adolescents might be a useful tool to identify patients with the highest risk of future cardiovascular disease. © 2016 BioFactors, 42(2):163–170, 2016

Publisher

Wiley

Subject

Clinical Biochemistry,Molecular Medicine,General Medicine,Biochemistry

Reference43 articles.

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