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Correlation of the plasma sphingoid base profile with results from oral glucose tolerance tests in gestational diabetes mellitus.

作者信息

Khan Abad, Hornemann Thorsten

机构信息

Institute for Clinical Chemistry, University Hospital Zurich, Ramistrasse 100, 8091 Zurich, Switzerland.

Department of Pharmacy, University of Swabi, Khyber Pakhtunkhwa, Pakistan.

出版信息

EXCLI J. 2017 Apr 18;16:497-509. doi: 10.17179/excli2017-171. eCollection 2017.

Abstract

Oral glucose tolerance test (OGTT) is usually insufficient to accurately predict the risk for type 2 diabetes mellitus (T2DM), it is therefore necessary to identify an additional biomarker that would most likely improve the accuracy of OGTT. The current OGTT was performed in 53 volunteers after ingestion of 75 g glucose in 250 ml water to each volunteer. Similarly the sphingoid base profile of these volunteers was explored using liquid-chromatography linked with mass spectrometer (LC-MS) and correlated with the different time-points glucose values of OGTT as well as with total area under the curve (tAUC), incremental area under the curve (iAUC), and positive incremental area under the curve (pAUC). The findings showed that 1-deoxysphinganine (1-deoxySA) was significantly positively correlated with the 1-hour, 2-hour, and 3-hour plasma glucose level as well as with total, incremental, and positive incremental AUC while 1-deoxysphingosine (1-deoxySO) was correlated only with 1-hour, 2-hour glucose levels and tAUC of OGTT. The C18SAdiene was negatively correlated with all-time points glucose values and AUCs followed by negative correlation of C18SO, C16SO and C17SO with 2-hour glucose and tAUC of OGTT. The ratios of 1-deoxySA and 1-deoxySO with respect to C18SAdiene have shown significant correlation with 2-hour and AUCs. These ratios were higher in subjects with gestational diabetes in comparison with normal subjects. These findings underlined that 1-deoxysphingolipids (1-deoxySLs) and their ratios with C18SAdiene could be significantly correlated with the glucose load of OGTT and might be used as predictive biomarkers along with OGTT for the risk assessment of diabetes.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fbd/5491909/6224d1a8327f/EXCLI-16-497-t-001.jpg

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