Serum IGFBP-2 levels are associated with reduced insulin sensitivity in obese children.
S W YauBrooke E HarcourtK-T KaoE J AlexanderV C RussoG A WertherM A SabinPublished in: Clinical obesity (2018)
Insulin-like growth factor binding protein 2 (IGFBP-2) may represent a critical link between body composition and insulin sensitivity. We investigated the relationship between circulating IGFBP-2 levels, body composition, insulin sensitivity, energy intake and physical activity in children with obesity. Children were recruited via the Weight Management Service at the Royal Children's Hospital, Melbourne, as part of the Childhood Overweight BioRepository of Australia (COBRA). Comprehensive anthropometric, biochemical and environmental data were collected and compared to serum IGFBP-2 levels (measured by enzyme-linked immunosorbent assay). Multiple regression modelling was used to assess the influence of circulating IGFBP-2 levels on anthropometric and biochemical measures. One hundred and ninety-four children were included in this study (46% male). Circulating IGFBP-2 negatively correlated with age, anthropometric measures, blood pressure and insulin concentration. Positive associations were observed between insulin sensitivity index-homeostasis model assessment (ISI-HOMA) and serum IGFBP-2. In multiple regression modelling, IGFBP-2 significantly contributes to variance in systolic blood pressure (-19%, P < 0.05), circulating triglycerides (-16%, P < 0.05) and ISI-HOMA (18%, P < 0.05). No associations were observed between dietary energy intake or physical activity and IGFBP-2 levels. Circulating IGFBP-2 levels in children with obesity correlate inversely with body mass and markers of metabolic dysfunction, and positively with insulin sensitivity. These findings suggest that reduced levels of IGFBP-2 may play an important role in the pathogenesis of obesity complications in early life.
Keyphrases
- body composition
- physical activity
- blood pressure
- weight loss
- young adults
- type diabetes
- metabolic syndrome
- weight gain
- resistance training
- insulin resistance
- early life
- healthcare
- body mass index
- oxidative stress
- binding protein
- left ventricular
- heart failure
- machine learning
- atrial fibrillation
- hypertensive patients
- high intensity
- electronic health record
- mass spectrometry
- postmenopausal women
- big data