Abstract
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Metabolic Profiling of Plasma in Gestational Diabetes Mellitus Using Liquid Chromatography and Q-TOF Mass Spectrometry
by Shuying Zheng, Jing Zhong, Yingrong Chen, Zhihong Ma, Hui He, Wei Qiu, Wenhua Wang, Chengjiang Li, Huazong Zeng
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Background: To delineate the metabolomic profiling and identify early diagnostic biomarkers in maternal plasma from the pregnant women who subsequently developed gestational diabetes mellitus (GDM) using liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (LC-Q-TOF MS).
Methods: Plasma samples were collected from GDM pregnant women (n = 30) and healthy controls (n = 30) at the 20th gestational week in Huzhou Central Hospital and Huzhou Maternal and Child Health Hospital. The principle component analysis (PCA), partial least-squares discriminant analysis (PLS-DA), and orthogonal PLS (OPLS) were sequentially applied to discover the differential metabolites for GDM diagnosis. Further, we analyzed the identified biomarkers in the MetPA database in order to reveal the key relevant metabolism in GDM.
Results: Twenty-four out of 975 aligned metabolites were distinguished among GDM plasma and healthy controls. In particular, the level of linolenic acid and arachidonic acid was significantly elevated in GDM.
Conclusions: The linolenic acid and arachidonic acid could be selected as new potent biomarkers for GDM diagnosis and prognosis in early pregnancy; however, they still need to be confirmed from large samples in future.
DOI: 10.7754/Clin.Lab.2017.161110
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