First-trimester multimarker prediction of gestational diabetes mellitus using targeted mass spectrometry

Tina Ravnsborg1,2, Lise Lotte T Andersen3, Natacha D Trabjerg4

  • 1Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Sdr. Boulevard 29, 5000, Odense C, Denmark.

Diabetologia
|January 29, 2016
PubMed

Insights

Predicting gestational diabetes mellitus (GDM) early is crucial. Multimarker panels of serum proteins show promise for improving first-trimester GDM prediction in pregnant women.

Area of Science:

  • Biochemistry
  • Clinical Chemistry
  • Reproductive Medicine

Background:

  • Gestational diabetes mellitus (GDM) poses risks like pre-eclampsia and future type 2 diabetes for mother and child.
  • Accurate early GDM prediction is vital for timely intervention and improved perinatal outcomes.
  • Current single protein biomarkers lack sufficient predictive power for GDM.

Purpose of the Study:

  • To investigate if multimarker panels of serum proteins enhance first-trimester GDM prediction.
  • To compare the predictive performance of single markers versus multimarker panels in obese and non-obese women.
  • To identify potential protein biomarkers for early GDM detection.

Main Methods:

  • A nested case-control study utilized first-trimester serum samples from GDM cases and controls.
  • Serum protein analysis was performed using targeted nano-flow liquid chromatography (LC) MS.
  • A 25-plex multiple reaction monitoring (MRM) MS assay was developed and validated.

Main Results:

  • Six proteins, including adiponectin, apolipoprotein M, and apolipoprotein D, were significantly different between obese GDM patients and controls.
  • Multimarker models combining protein levels and clinical data demonstrated improved predictive accuracy (AUC) compared to adiponectin alone.
  • These models showed enhanced prediction for obese, non-obese, and overall GDM groups.

Conclusions:

  • Multimarker models integrating protein markers and clinical data hold potential for predicting high-risk GDM pregnancies.
  • This approach may facilitate earlier identification of women susceptible to GDM.
  • Further validation is needed to establish these panels for routine clinical use.
Abstract

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