Maternal Serum Biomarkers for Risk Assessment in Gestational Diabetes. A Potential Universal Screening Test to Predict GDM Status

Overview

Journal Indian J Endocrinol Metab

Specialty Endocrinology

Date 2015 Jan 17

PMID 25593844

Citations 8

Authors

Srinivasa R Nagalla

Caryn K Snyder

John E Michaels

Mary J Laughlin

Charles T Roberts

Madhuri Balaji

V Balaji

V Seshiah

Paturi V Rao

Affiliations

Soon will be listed here.

Abstract

The prevalence of gestational diabetes mellitus (GDM) is increasing because of the worldwide obesity/diabetes epidemic. The complications of untreated GDM affect both the mother and baby and include complications during pregnancy as well as increased risk of subsequent type-2 diabetes in mothers and offspring. Standard tests for hyperglycemia in diabetes, such as fasting glucose and hemoglobin (HbA1c), are currently not recommended for GDM screening. Instead, an oral glucose tolerance test is specified, which is invasive, time-consuming, and not easily accessible to many at-risk populations. In this study, we describe a multi-analyte maternal serum profile test that incorporates novel glycoprotein biomarkers and previously described GDM-associated markers. In screening for GDM by multi-analyte panel, the detection rate was 87% at a false-positive rate of 1%.

Citing Articles

A Critical Review of Proteomic Studies in Gestational Diabetes Mellitus.

Zhou T, Huang L, Wang M, Chen D, Chen Z, Jiang S J Diabetes Res. 2020; 2020:6450352.

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Glycosylated fibronectin as a first trimester marker for gestational diabetes.

Alanen J, Appelblom H, Korpimaki T, Kouru H, Sairanen M, Gissler M Arch Gynecol Obstet. 2020; 302(4):853-860.

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Gestational diabetes from A to Z.

Mirghani Dirar A, Doupis J World J Diabetes. 2018; 8(12):489-511.

PMID: 29290922 PMC: 5740094. DOI: 10.4239/wjd.v8.i12.489.

The diagnostic value of glycated albumin in gestational diabetes mellitus.

Zhu J, Chen Y, Li C, Tao M, Teng Y J Endocrinol Invest. 2017; 41(1):121-128.

PMID: 28589381 PMC: 5754373. DOI: 10.1007/s40618-016-0605-7.

2D-DIGE as a strategy to identify serum biomarkers in Mexican patients with Type-2 diabetes with different body mass index.

Gomez-Cardona E, Hernandez-Dominguez E, Velarde-Salcedo A, Pacheco A, Diaz-Gois A, De Leon-Rodriguez A Sci Rep. 2017; 7:46536.

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