Dataset Information

Exercise testing and adipokine levels for the evaluation of overweight and obesity in children.

ABSTRACT: BACKGROUND:Childhood obesity poses a global health threat. We investigated the association of the cardiopulmonary exercise testing indexes with adipokines levels and insulin resistance along with the beneficial effect of physical exercise on insulin resistance in children. MATERIAL AND METHODS:Thirty-two obese, 21 overweight, and 30 normal-weight children participated in the current study, with mean age 11.98 (±1.95), 10.91 (±1.72), and 11.35 (±2.21) years, respectively. All children were clinically healthy. The children and their parents provided data on physical activity, while spirometry and maximal cardiopulmonary exercise testing were performed for the functional evaluation of the respiratory status of the study population. RESULTS:Leptin levels were significantly lower in normal-weight children compared to the obese ones (p <0.001). Maximum quantity of oxygen (VO2max) differences were statistically significant between the three groups (p =0.025 for normal weight vs overweight, and p =0.001 for normal vs obese children). Leptin levels were inversely related to VO2max in obese children (p =0.009, r =-0.491). Homeostatic model assessment of insulin resistance (HOMA-IR) was statistically significantly lower among children that were more physically active (p =0.042). Leptin was significantly related to body mass index among obese children (r =-0.582, p <0.001). CONCLUSIONS:Leptin is significantly inversely related to VO2max in obese children. This study, however, allows further assumptions for adipokines and childhood obesity, along with the possible role of leptin as an additional obesity index in relation with cardiopulmonary function. HIPPOKRATIA 2017, 21(3): 124-129.

SUBMITTER: Tsiroukidou K

PROVIDER: S-EPMC6248005 | biostudies-other | 2017 Jul-Sep

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Exercise testing and adipokine levels for the evaluation of overweight and obesity in children.

Tsiroukidou K K Papagianni M M Hatziagorou E E Galli-Tsinopoulou A A Giannopoulos A A Tsanakas I I

Hippokratia 20170701 3

<h4>Background</h4>Childhood obesity poses a global health threat. We investigated the association of the cardiopulmonary exercise testing indexes with adipokines levels and insulin resistance along with the beneficial effect of physical exercise on insulin resistance in children.<h4>Material and methods</h4>Thirty-two obese, 21 overweight, and 30 normal-weight children participated in the current study, with mean age 11.98 (±1.95), 10.91 (±1.72), and 11.35 (±2.21) years, respectively. All child ...[more]

PMID: 30479473

Similar Datasets

Project description:Background: The current knowledge about the molecular mechanisms underlying the health benefits of exercise is still limited, especially in the pediatric population. We set out to investigate the effect of a 20-week exercise intervention on whole blood transcriptome profile (RNA-seq) in children with overweight/obesity. Methods: Twenty-four pre-pubertal children (10.21 ± 1.33 years, 46% girls) with overweight/obesity, were randomized to either a 20-week exercise program (intervention group; n=10), or to a non-exercise control group (usual lifestyle, n=14). Whole blood transcriptome profile was analysed using RNA-seq STRT2 technique. Gene expression analysis was carried out with the Limma R/Bioconductor software package, and the gene ontology (GO) and pathway enrichment analyses were performed using R. Ingenuity Pathway Analysis (IPA) was performed for gene network detection. The transcriptome data were in silico validated using PHENOPEDIA and meta-analysis database extrameta.org. Results: 161 genes were differentially expressed between the exercise and the control groups among boys, and 121 genes among girls (p-value < 0.05), while after multiple correction, no significant difference between groups persisted in gene expression profiles (FDR > 0.05). Based on non-corrected analyses, the enriched GO processes and molecular pathways highlighted the effect of exercise on different immune response related pathways in boys (antigen processing and presentation, infections, and T cell receptor complex) and girls (Fc epsilon RI signaling pathway) (FDR < 0.05). In silico data mining and validation analyses (using PHENOPEDIA and meta-analysis database extrameta.org) highlight top genes regulated by exercise such as CD6, HLA-C, TNFRSF1A, MYD88, and NFKBIA genes in boys and RAC1, ANXA6, FYN, INPP5D, PIK3CD and SPARC genes in girls. Conclusion: These results suggest that 20-week exercise program influences different immune processes in children with overweight/obesity. The transcriptome differences between boys and girls could partly be explained, in addition to the gender differences, by the distinct intensity in the exercise intervention as boys had stronger exercise stimulus in training. Our findings should be considered exploratory and preliminary given the relatively small sample size. Larger and more powered randomized controlled trials should confirm or contrast our findings.

Project description:Background and aims: Youth populations with overweight/obesity (OW/OB) exhibit heterogeneity in cardiometabolic health phenotypes (e.g. fasting glucose, serum triglycerides, etc.). The underling mechanisms for those differences are still unclear. This study aimed to analyze the whole blood transcriptome profile (RNA-seq) of children with metabolic healthy overweight/obesity (MHO) and metabolic unhealthy overweight/obesity (MUO) phenotypes. Methods: 27 children with OW/OB (10.14 ± 1.3 years, 59% boys) from the ActiveBrains project were included. MHO was defined as having none of the following criteria for metabolic syndrome: elevated fasting glucose, high serum triglycerides, low high-density lipoprotein cholesterol, and high systolic or diastolic blood pressure, while MUO was defined as presenting one or more of these criteria. Inflammatory markers interleukin-1β (IL-1β), IL-6, tumor necrosis factor-α (TNF-α), epidermal growth factor (EGF) and, vascular endothelial growth factor A (VEGF) were additionally determined. Total-blood RNA was analyzed by 5’-end RNA sequencing. Two different bioinformatics approaches were performed: 1) Differential gene expression analyses using Limma R/Bioconductor software package (analyses adjusted by sex and maturational status) and 2) weighted gene coexpression network analyses (WGCNA). Results: Children with MHO had lower values of pro-inflammatory cytokines TNF-α and IL-6 compared to MUO (p < 0.05). 40 genes were differentially expressed (FDR < 0.05) in children with MHO compared to MUO. WGCNA analysis identified 23 gene coexpression modules (i.e. clusters of genes) with low preservation (Zsummary < 2) in children with MHO compared to MUO. Differential and WGCNA gene expression patterns identified 32 genes linked to metabolism, mitochondrial and immune functions. Conclusions: Whole blood transcriptome analysis revealed a distinct pattern of gene expression in children with MHO compared to MUO children. The identified gene expression patterns related to metabolism, mitochondrial and immune functions can promote a better understanding of cardiovascular disease prognosis in individuals with MHO.

Project description:BackgroundEvidence in adults suggests that exposure to artificial light-at-night (ALAN) leads to obesity. However, little is known about whether this effect exists in children and adolescents. We aimed to investigate whether ALAN exposure was associated with overweight and obesity in school-aged children and adolescents and whether this association varied with socioeconomic status.MethodsData on the height and weight of 129,500 children and adolescents aged 10-18 years from 72 cities were extracted from the 2014 Chinese National Survey on Students' Constitution and Health (CNSSCH). The ALAN area percentage and average ALAN intensity were calculated using the Visible/Infrared Imager/Radiometer Suite. The subjects were separated into three categories based on the cities' gross domestic product per capita (GDPPC). A mixed-effect logistic regression model and generalized additive model (GAM) were utilized to evaluate the association between ALAN exposure and overweight and obesity in children and adolescents stratified by municipal GDPPC.ResultsBoth ALAN area (OR = 1.194, 95% CI: 1.175-1.212) and ALAN intensity (OR = 1.019, 95% CI: 1.017-1.020) were positively associated with overweight and obesity in children and adolescents, and the associations remained robust after adjusting for covariates. ORs for overweight and obesity and ALAN area decreased as GDPPC level increased (first tertile: OR = 1.457, 95% CI: 1.335-1.590; second tertile: OR = 1.350, 95% CI: 1.245-1.464; third tertile: OR = 1.100, 95% CI: 1.081-1.119). Similar results were observed for ALAN intensity. In the GAM models, thresholds existed in almost all these spline trends, indicating that ALAN might have a nonlinear association with overweight and obesity.ConclusionsALAN contributed to the development of overweight and obesity in children and adolescents and this effect differed with GDPPC. Future longitudinal studies should confirm the causal relationship between ALAN and obesity. Moreover, reducing unnecessary exposure to artificial light at night may have beneficial implications for controlling childhood and adolescent obesity, particularly in low-income areas.

Dataset Information

Exercise testing and adipokine levels for the evaluation of overweight and obesity in children.

Publications

Exercise testing and adipokine levels for the evaluation of overweight and obesity in children.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets