Selenoprotein-p and insulin resistance in children and adolescents with obesity

Amany Elbarky1, Kholoud Gamal Ismail2, Yousef Fouad Yousef1

  • 1Gastroenterology and Clinical Nutrition Unit, Pediatric Department, Faculty of ‎Medicine, Tanta University, Tanta 31511, Alghrabia, Egypt.

Insights

Lower serum Selenoprotein P1 (SEPP1) levels are found in obese children, correlating with higher insulin resistance. SEPP1 may predict metabolic challenges in pediatric obesity.

Area of Science:

  • Pediatric Endocrinology
  • Metabolic Health
  • Biomarker Research

Background:

  • Obesity and insulin resistance are growing pediatric health concerns.
  • Selenoprotein P1 (SEPP1) is a selenium biomarker, known in adult metabolic syndrome but understudied in children.
  • Understanding SEPP1's role in pediatric metabolic health is crucial.

Purpose of the Study:

  • To measure serum SEPP1 levels in children and adolescents with obesity.
  • To evaluate the association between SEPP1 and insulin resistance.
  • To correlate SEPP1 with key adiposity indices in pediatric populations.

Main Methods:

  • Study included 170 children (85 obese, 85 healthy), matched for age and sex.
  • Comprehensive evaluations included anthropometry (waist circumference, waist-to-height ratio), medical history, and clinical examination.
  • Serum SEPP1, visceral adiposity index (VAI), and Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) were measured.

Main Results:

  • Children with obesity exhibited significantly lower serum SEPP1 levels compared to healthy controls.
  • Serum SEPP1 showed a significant negative correlation with body mass index (BMI).
  • Negative correlations were also found between SEPP1 and VAI, and SEPP1 and HOMA-IR.

Conclusions:

  • SEPP1 may serve as a potential predictive biomarker for insulin resistance in pediatric obesity.
  • Lower SEPP1 levels are associated with increased adiposity and insulin resistance in children.
  • Further research is warranted to explore SEPP1's utility in pediatric metabolic health assessment.
Abstract

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