Inflammatory markers and metabolic syndrome among adolescents

González, Marina Poveda; Bibiloni, María del Mar; Pons, Antoni; Llompart, Isabel; Tur, Josep A.

doi:10.1038/ejcn.2012.112

Cited by 46 publications

(39 citation statements)

References 47 publications

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“…It has been established that insulin levels and the frequency of insulin resistance increase as puberty progresses (29). The effects of sex steroids are also reflected in leptin levels, which increase during puberty as well (26). Although studies enrolling prepubertal children exclusively are rare, it is known that some risk factors for cardiovascular disease are already present at this age, as shown in our investigation.…”

Section: Discussionmentioning

confidence: 70%

Leptin as a predictor of metabolic syndrome in prepubertal children

Madeira

Bordallo

Rodrigues

et al. 2017

Arch. Endocrinol. Metab.

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Objective: Leptin has been suggested as a potential biomarker of cardiovascular risk. This paper aims to ascertain, based on a sample of prepubertal children, which serum leptin value best suited to identify metabolic syndrome (MS). Subjects and methods: This observational, cross-sectional study recruited children from the outpatient pediatrics clinic, with the purpose of validating serum leptin level cutoffs to identify MS. All obese and overweight children who met eligibility criteria were included in the study, as was a sample of normal-weight children. The sample underwent clinical assessment and blood fasting glucose, lipid profile, insulin, and leptin were measured. Sensitivity and specificity were estimated for each leptin measurement, using MS as the outcome. These values were used to construct a receiver operating characteristic (ROC) curve. The association between MS and leptin was assessed using logistic models to predict MS. Results: A total of 65 normal weight, 46 overweight, and 164 obese children were analyzed (160 boys, 115 girls; age: 93.7 ± 17.8 months). The most appropriate leptin cutoff was 13.4 ng/mL (sensitivity 67.6%; specificity 68.9%; accuracy 72.1%). The logistic model indicated that leptin levels above 13.4 ng/dL were significantly associated with MS and that, for every 1 ng/dL increase in leptin levels, the odds of MS increase by 3% (p = 0.002; OR 1.03; 95% CI 1.01-1.05). Conclusions: Leptin may be a useful biomarker of cardiovascular risk in prepubertal children, with an optimal cutoff of 13.4 ng/mL. Identification of potential new risk markers for cardiovascular disease in children could contribute to the development of preventive strategies.Arch Endocrinol Metab. 2017;61(1):7-13

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Section: Discussionmentioning

confidence: 70%

Leptin as a predictor of metabolic syndrome in prepubertal children

Madeira

Bordallo

Rodrigues

et al. 2017

Arch. Endocrinol. Metab.

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“…14 In our sample, no association of TNF-a, IL-6 and PAI-1 with adiposity indices was observed in girls. 39 In the literature, there is no consensus regarding TNF-a concentration; some studies have found high concentrations while others have not. 38 A previous study that assessed the association between IL-6 and TNF-a, adiposity, fat cell size and insulin sensitivity in a group of overweight and obese prepubertal children found that adipocity size, more than BMI and fat mass, was significantly associated with both inflammatory markers.…”

Section: Discussionmentioning

confidence: 98%

Dietary factors associated with subclinical inflammation among girls

et al. 2013

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“…However, their clinical advantages as markers of MS have not been assessed, so that their use as screening tools for MS is not justified [17,76,77,78,79,80]. …”

Section: Markers Of Co-morbiditiesmentioning

confidence: 99%

“…Several circulating markers, such as uric acid, alanine aminotransferase, adiponectin, leptin, resistin, retinol binding protein 4, plasminogen activator inhibitor-1 and other inflammatory markers, as well as novel adiposity markers, such as epicardial fat, have been associated with MS, fueling the research on the pathogenesis, long-term prediction and treatment of cardio-metabolic disease [17,76,77,78,79,80]. However, their clinical advantages as markers of MS have not been assessed, so that their use as screening tools for MS is not justified [17,76,77,78,79,80].…”

Section: Markers Of Co-morbiditiesmentioning

confidence: 99%

Predictors of Metabolic Risk in Childhood Obesity

Morandi

Maffeis²

2014

Horm Res Paediatr

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Most of the complications of juvenile obesity are due to metabolic disturbances induced by an excessive accumulation of fat which leads to chronic diseases like type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD). Finding effective ways of identifying obese paediatric patients who are at increased risk of developing cardiovascular and metabolic complications has been recognised to be a promising strategy to improve prevention of complications of early obesity. Moreover, correctly identifying obese children who are already affected by metabolic co-morbidities should be a clinical priority. According to the state of the art summarised in this review, traditional metabolic variables included in the definitions of metabolic syndrome (MS), pre-diabetes, non-alcoholic fatty liver disease (NAFLD)/non-alcoholic steato-hepatitis and, in obese girls, the presence of polycystic ovary syndrome are the best available longitudinal predictors of CVD and T2DM among obese children and adolescents. In clinical practice, traditional metabolic variables included in the definitions of MS should be assessed in all obese children and adolescents; fasting metabolic variables have been proposed to identify obese patients likely to be affected by impaired glucose tolerance or T2DM, and ultrasound has proved to be a valid surrogate for biopsy in the diagnosis of NAFLD. Further large longitudinal and cross-sectional studies are needed to improve our chances of identifying obese youth at the highest metabolic risk.

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Inflammatory markers and metabolic syndrome among adolescents

Cited by 46 publications

References 47 publications

Leptin as a predictor of metabolic syndrome in prepubertal children

Leptin as a predictor of metabolic syndrome in prepubertal children

Dietary factors associated with subclinical inflammation among girls

Predictors of Metabolic Risk in Childhood Obesity

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