Asprosin serum levels and glucose homeostasis in children with obesity.


Journal

Cytokine
ISSN: 1096-0023
Titre abrégé: Cytokine
Pays: England
ID NLM: 9005353

Informations de publication

Date de publication:
06 2021
Historique:
received: 13 10 2020
revised: 23 01 2021
accepted: 12 02 2021
pubmed: 5 3 2021
medline: 19 1 2022
entrez: 4 3 2021
Statut: ppublish

Résumé

Asprosin is a novel adipokine involved in glucose homeostasis, food intake regulation and energy homeostasis. However, the role of asprosin in glucose homeostasis regulation remains still controversial, especially in pediatrics. Aims of the study were to compare fasting serum asprosin levels between obese children and controls and to investigate the relationships of asprosin with body mass index (BMI) and biochemical markers of insulin resistance, insulin sensitivity, β-cell function and cardio-metabolic risk in obese non-diabetic children. This cross-sectional, case-controlled, study included 43 obese children and 24 lean matched controls consecutively recruited. Children underwent clinical and biochemical assessments, including oral glucose tolerance test. Fasting asprosin serum levels were measured using an enzyme-linked immunosorbentassay (ELISA). Homeostasis model assessment of insulin resistance (HOMA-IR), homeostasis model assessment of β-cell function (HOMA-B), Matsuda-index, Insulinogenic-index, Areas Under the Curves for glucose and insulin were calculated. Successively, asprosin variable was dichotomized according to mean value in order to create two ordered classes of values. Fasting asprosin concentration was significantly lower in obese children compared to controls (331.9 ± 120.5 vs 358.1 ± 74.1 pg/ml; p = 0.013). Asprosin was lower in boys than in girls (313.7 ± 59.5 vs 361.1 ± 127.2 pg/ml; p = 0.044), while BMI standard deviation score (SDS) was higher in boys compared to girls (p = 0.024). Asprosin was negatively correlated with BMI (p = 0.024), BMI SDS (p = 0.044) and male sex (p = 0.043) in the entire cohort. No significant differences in asprosin levels were demonstrated between insulin resistant and non-insulin resistant obese children. Logistic regression models documented a significant negative association between BMI SDS and dichotomized asprosin. In particular, higher BMI SDS values were associated to lower asprosin serum levels class. A receiver operating characteristic (ROC) analysis showed existence of the best cut-off for BMI SDS (+2.7 SDS) variable into discriminating patients belonging to two asprosin classes in our cohort. In conclusion, asprosin serum levels were significantly lower in obese children compared to control. Fasting asprosin decreased with increasing BMI, but it was not significantly affected by IR.

Identifiants

pubmed: 33662891
pii: S1043-4666(21)00057-0
doi: 10.1016/j.cyto.2021.155477
pii:
doi:

Substances chimiques

Blood Glucose 0
FBN1 protein, human 0
Fibrillin-1 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

155477

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Domenico Corica (D)

Department of Human Pathology of Adulthood and Childhood "G. Barresi", University of Messina, Italy. Electronic address: dcorica@unime.it.

Tommaso Aversa (T)

Department of Human Pathology of Adulthood and Childhood "G. Barresi", University of Messina, Italy.

Monica Currò (M)

Department of Biomedical and Dental Sciences and Morpho-functional Imaging, University of Messina, Italy.

Angelo Tropeano (A)

Department of Human Pathology of Adulthood and Childhood "G. Barresi", University of Messina, Italy.

Giorgia Pepe (G)

Department of Human Pathology of Adulthood and Childhood "G. Barresi", University of Messina, Italy.

Angela Alibrandi (A)

Department of Economics, University of Messina, Italy.

Riccardo Ientile (R)

Department of Biomedical and Dental Sciences and Morpho-functional Imaging, University of Messina, Italy.

Malgorzata Wasniewska (M)

Department of Human Pathology of Adulthood and Childhood "G. Barresi", University of Messina, Italy.

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Classifications MeSH