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Published in: Acta Diabetologica 6/2016

01-12-2016 | Original Article

Plasma fatty acid-binding protein 4 (FABP4) as a novel biomarker to predict gestational diabetes mellitus

Authors: Hui Ning, Hong Tao, Zhanping Weng, Xingbo Zhao

Published in: Acta Diabetologica | Issue 6/2016

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Abstract

Aims

Fatty acid-binding protein 4 (FABP4) is mainly expressed in adipocytes and macrophages and is demonstrated to be elevated in diabetes patients. The aim of this study was to evaluate the possible role of FABP4 in the diagnosis of GDM and to investigate the relationship between FABP4 and overweight, insulin resistance and inflammatory marker TNF-α.

Methods

A total of 46 women with GDM and 55 age-matched pregnant women without GDM (non-GDM) were eligible for the study. Demographic and biochemical parameters and fasting venous blood samples of two groups were collected from all cases. Serum concentrations of FABP4 were determined using enzyme-linked immunosorbent assay (ELISA). The predictive value of Serum FABP4 level was evaluated using receiver operating characteristic curve (ROC curve) analysis.

Results

We found that the serum FABP4 levels were significantly higher in GDM compared to the non-GDM group. The area under the ROC curve assay yielded a satisfactory result of 0.94 (95 % confidence interval 0.90–0.98; p < 0.001). The best compromise between 86.96 % specificity and 89.09 % sensitivity was obtained with a cutoff value of 1.96 ng/mL for GDM diagnosis. Moreover, a significant positive correlation was observed between FABP4 and overweight, insulin resistance and TNF-α in pregnant women with GDM.

Conclusions

These results suggest that serum FABP4 may potentially serve as a novel biomarker for the prediction of GDM.
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Metadata
Title
Plasma fatty acid-binding protein 4 (FABP4) as a novel biomarker to predict gestational diabetes mellitus
Authors
Hui Ning
Hong Tao
Zhanping Weng
Xingbo Zhao
Publication date
01-12-2016
Publisher
Springer Milan
Published in
Acta Diabetologica / Issue 6/2016
Print ISSN: 0940-5429
Electronic ISSN: 1432-5233
DOI
https://doi.org/10.1007/s00592-016-0867-8

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