Evidence in obese children: contribution of hyperlipidemia, obesity-inflammation, and insulin sensitivity

Chi-Jen Chang1, Deng-Yuan Jian2, Ming-Wei Lin3

  • 1Division of Pediatric Surgery, Department of Surgery, Shin-Kong Wu Ho-Su Hospital, Taipei, Taiwan; School of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan.

Plos One
|May 27, 2015
PubMed

Insights

Childhood obesity is linked to insulin resistance, inflammation, and abnormal lipid profiles. These factors, including lipid, obesity-inflammation, and insulin sensitivity domains, may help predict cardiovascular disease risk in children.

Area of Science:

  • Pediatric Endocrinology
  • Metabolic Syndrome Research
  • Cardiovascular Disease Risk Factors

Background:

  • Obesity in children is associated with increased risks of insulin resistance, inflammation, and dyslipidemia.
  • Understanding these metabolic disturbances in pediatric populations is crucial for early intervention.

Purpose of the Study:

  • To investigate the relationship between inflammatory markers, lipid profiles, and insulin sensitivity in overweight and obese children.
  • To identify key domains contributing to metabolic dysfunction in pediatric obesity.

Main Methods:

  • Study included 45 male children (6-13 years): 16 lean, 19 obese, 10 overweight.
  • Measured plasma lipids (cholesterol, triglycerides), glucose, insulin, inflammatory markers (TNF-α, IL-6, MCP-1), and high-sensitive CRP.
  • Utilized quantitative colorimetric sandwich ELISA kits for analysis.

Main Results:

  • Obese children showed significant insulin resistance, abnormal lipids, and low-grade inflammation compared to lean controls.
  • Overweight children exhibited insulin resistance and low-grade inflammation.
  • Body mass index (BMI) percentile and fasting insulin correlated positively with insulin resistance, lipids, and inflammation, and negatively with adiponectin.

Conclusions:

  • Lipid profiles, obesity-inflammation, and insulin sensitivity are key domains in obese children.
  • These identified domains may serve as predictors for future cardiovascular disease outcomes in pediatric populations.
Abstract

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