Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/19395
Title: Biomarkers for Macrosomia Prediction in Pregnancies Affected by Diabetes.
Authors: Nahavandi, Sofia;Seah, Jas-Mine;Shub, Alexis;Houlihan, Christine A;Ekinci, Elif I
Affiliation: Mercy Hospital for Women, Mercy Health, Heidelberg, Victoria, Australia
Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia
Department of Endocrinology, Austin Health, Heidelberg, Victoria, Australia
Issue Date: 31-Jul-2018
EDate: 2018-07-31
Citation: Frontiers in endocrinology 2018; 9: 407
Abstract: Large birthweight, or macrosomia, is one of the commonest complications for pregnancies affected by diabetes. As macrosomia is associated with an increased risk of a number of adverse outcomes for both the mother and offspring, accurate antenatal prediction of fetal macrosomia could be beneficial in guiding appropriate models of care and interventions that may avoid or reduce these associated risks. However, current prediction strategies which include physical examination and ultrasound assessment, are imprecise. Biomarkers are proving useful in various specialties and may offer a new avenue for improved prediction of macrosomia. Prime biomarker candidates in pregnancies with diabetes include maternal glycaemic markers (glucose, 1,5-anhydroglucitol, glycosylated hemoglobin) and hormones proposed implicated in placental nutrient transfer (adiponectin and insulin-like growth factor-1). There is some support for an association of these biomarkers with birthweight and/or macrosomia, although current evidence in this emerging field is still limited. Thus, although biomarkers hold promise, further investigation is needed to elucidate the potential clinical utility of biomarkers for macrosomia prediction for pregnancies affected by diabetes.
URI: http://ahro.austin.org.au/austinjspui/handle/1/19395
DOI: 10.3389/fendo.2018.00407
ORCID: 0000-0003-2372-395X
PubMed URL: 30108547
ISSN: 1664-2392
Type: Journal Article
Review
Subjects: biomarkers
birthweight
diabetes
macrosomia
pregnancy
Appears in Collections:Journal articles

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