Association between gestational diabetes and biomarkers: a role in diagnosis

Biomarkers. 2018 May-Jun;23(4):386-391. doi: 10.1080/1354750X.2018.1432690. Epub 2018 Feb 6.

Abstract

Background: We investigated the association between markers of insulin resistance, chronic inflammation, and adipokines and GDM.

Methods: In our case-cohort study in Johannesburg we included women with GDM and controls. We tested the ability of biomarkers to identify women at high risk of GDM.

Results: Of the 262 pregnant women, 83 (31.7%) had GDM. Women with GDM were heavier (p = 0.04) and had more clinical risk factors (p = 0.008). We found a significant difference in fasting insulin (p < 0.001), adiponectin (p = 0.046), HOMA (p < 0.001) and QUICKI (p < 0.001). HOMA (AUROC = 0.82) or QUICKI (AUROC = 0.82) improved the ability of risk factors to identify women at high risk of GDM.

Conclusions: Insulin sensitivity markers are promising tools to identify women at high risk of GDM.

Keywords: Biomarkers; adiponectin; gestational diabetes; insulin.

MeSH terms

  • Adiponectin / blood
  • Biomarkers / blood*
  • Cohort Studies
  • Diabetes, Gestational / diagnosis*
  • Female
  • Humans
  • Insulin Resistance
  • Pregnancy
  • Risk Factors
  • South Africa

Substances

  • ADIPOQ protein, human
  • Adiponectin
  • Biomarkers