Plasma Glycated CD59 Predicts Early Gestational Diabetes and Large for Gestational Age Newborns

DongDong Ma1, Miguel Angel Luque-Fernandez2,3, Delia Bogdanet4

  • 1Divisions of Hematology, Brigham & Women's Hospital, Boston, Massachusetts.

Insights

Plasma-glycated CD59 (pGCD59) effectively detects early gestational diabetes mellitus (GDM) in pregnant women. Higher pGCD59 levels also indicate an increased risk of delivering a large for gestational age (LGA) infant.

Area of Science:

  • Endocrinology
  • Maternal-Fetal Medicine
  • Biomarker Discovery

Background:

  • Gestational diabetes mellitus (GDM) diagnosed early in pregnancy poses significant health risks.
  • Plasma-glycated CD59 (pGCD59) is an emerging biomarker for diabetes and GDM.
  • Early GDM diagnosis is crucial for managing adverse pregnancy outcomes.

Purpose of the Study:

  • To evaluate the efficacy of pGCD59 as a biomarker for detecting GDM in early pregnancy (<20 weeks' gestation).
  • To determine the association between pGCD59 levels and the risk of delivering a large for gestational age (LGA) infant.
  • To explore the potential of pGCD59 in assessing other GDM-related adverse neonatal outcomes.

Main Methods:

  • Blood samples from 693 obese pregnant women (BMI > 29) were analyzed.
  • pGCD59 levels were measured using ELISA in women undergoing an oral glucose tolerance test (OGTT) before 20 weeks' gestation.
  • GDM diagnosis was confirmed using International Association of Diabetes and Pregnancy Study Group criteria.

Main Results:

  • Mean pGCD59 levels were significantly higher in women with early GDM compared to those without (P < 0.001).
  • pGCD59 demonstrated high accuracy in identifying early GDM, with an AUC of 0.86.
  • A one-unit increase in maternal pGCD59 was associated with a 36% increased odds of delivering an LGA infant (OR = 1.4, P = 0.016).

Conclusions:

  • pGCD59 serves as a reliable and accurate biomarker for the early detection of GDM.
  • pGCD59 aids in assessing the risk of delivering LGA infants.
  • This biomarker offers a valuable tool for improved GDM management and risk stratification in pregnancy.
Abstract

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