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The potential role of biomarkers in predicting gestational diabetes

Authors :
Huguette S Brink
Aart Jan van der Lely
Joke van der Linden
Source :
Endocrine Connections, Vol 5, Iss 5, Pp R26-R34 (2016)
Publication Year :
2016
Publisher :
Bioscientifica, 2016.

Abstract

Gestational diabetes (GD) is a frequent complication during pregnancy and is associated with maternal and neonatal complications. It is suggested that a disturbing environment for the foetus, such as impaired glucose metabolism during intrauterine life, may result in enduring epigenetic changes leading to increased disease risk in adult life. Hence, early prediction of GD is vital. Current risk prediction models are based on maternal and clinical parameters, lacking a strong predictive value. Adipokines are mainly produced by adipocytes and suggested to be a link between obesity and its cardiovascular complications. Various adipokines, including adiponectin, leptin and TNFα, have shown to be dysregulated in GD. This review aims to outline biomarkers potentially associated with the pathophysiology of GD and discuss the role of integrating predictive biomarkers in current clinical risk prediction models, in order to enhance the identification of those at risk.

Details

Language :
English
ISSN :
20493614
Volume :
5
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Endocrine Connections
Publication Type :
Academic Journal
Accession number :
edsdoj.fd1db95908444ee8b82943e3a96a586e
Document Type :
article
Full Text :
https://doi.org/10.1530/EC-16-0033