Insulin Resistance in Obese Children: What Can Metabolomics and Adipokine Modelling Contribute?

Nutrients. 2020 Oct 29;12(11):3310. doi: 10.3390/nu12113310.

Abstract

The evolution of obesity and its resulting comorbidities differs depending upon the age of the subject. The dramatic rise in childhood obesity has resulted in specific needs in defining obesity-associated entities with this disease. Indeed, even the definition of obesity differs for pediatric patients from that employed in adults. Regardless of age, one of the earliest metabolic complications observed in obesity involves perturbations in glucose metabolism that can eventually lead to type 2 diabetes. In children, the incidence of type 2 diabetes is infrequent compared to that observed in adults, even with the same degree of obesity. In contrast, insulin resistance is reported to be frequently observed in children and adolescents with obesity. As this condition can be prerequisite to further metabolic complications, identification of biological markers as predictive risk factors would be of tremendous clinical utility. Analysis of obesity-induced modifications of the adipokine profile has been one classic approach in the identification of biomarkers. Recent studies emphasize the utility of metabolomics in the analysis of metabolic characteristics in children with obesity with or without insulin resistance. These studies have been performed with targeted or untargeted approaches, employing different methodologies. This review summarizes some of the advances in this field while emphasizing the importance of the different techniques employed.

Keywords: adipokine; childhood; insulin resistance; metabolomics; obesity.

Publication types

  • Review

MeSH terms

  • Adipokines / blood*
  • Adolescent
  • Adult
  • Biomarkers / blood
  • Blood Glucose / metabolism
  • Child
  • Diabetes Mellitus, Type 2 / etiology
  • Female
  • Humans
  • Insulin Resistance / physiology*
  • Male
  • Metabolomics / methods*
  • Pediatric Obesity / blood*
  • Pediatric Obesity / complications
  • Predictive Value of Tests
  • Risk Assessment / methods*
  • Risk Factors

Substances

  • Adipokines
  • Biomarkers
  • Blood Glucose