The Metabolic Syndrome: Emerging Novel Insights Regarding the Relationship between the Homeostasis Model Assessment of Insulin Resistance and other Key Predictive Markers in Young Adults of Western Algeria

Nutrients. 2020 Mar 10;12(3):727. doi: 10.3390/nu12030727.

Abstract

Several biological markers have been identified as risk factors for cardiovascular disease and are associated with increased risk of metabolic syndrome (MetS). This study provides a factual information on promising biomarkers that are associated with MetS and can aid in early detection and management of MetS in young adults of Western Algeria. We studied a total of one hundred subjects aged between thirty and forty years with MetS, in which anthropometric measurements, insulin resistance, C peptide and HbA1c, lipid profile, circulating adipokines and glucagon-like peptide-1 were measured by suitable methods, in comparison to two groups of control. MetS is closely linked to altered glucose homeostasis, the plasma insulin/glucose ratio; i.e., the insulinogenic index helps to estimate the level of insulin secretion and also for assessing β-cell function. The correlation between homeostasis model assessment insulin resistance index (HOMA-IR) and HbA1c, body mass index or plasma triglycerides yielded positive and significant values. Biomarkers with a known and predictable association with MetS can provide a means to detect those at risk and intervene as needed. This could significantly decrease the burden complications impose on patients and the healthcare system.

Keywords: GLP-1; HOMA-IR; adipokines; biomarkers; insulin resistance; insulinogenic index; metabolic syndrome; obesity; young adults.

Publication types

  • Clinical Trial
  • Multicenter Study

MeSH terms

  • Adipokines / blood*
  • Adult
  • Algeria / epidemiology
  • Biomarkers / blood
  • C-Peptide / blood*
  • Female
  • Glucagon-Like Peptide 1 / blood*
  • Glycated Hemoglobin / metabolism*
  • Humans
  • Insulin Secretion
  • Male
  • Metabolic Syndrome / blood*
  • Metabolic Syndrome / epidemiology
  • Models, Biological*

Substances

  • Adipokines
  • Biomarkers
  • C-Peptide
  • Glycated Hemoglobin A
  • hemoglobin A1c protein, human
  • Glucagon-Like Peptide 1