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Screening and application of early pregnancy blood lipid biomarker for gestational diabetes mellitus

A biomarker and diabetes technology, applied in biological testing, biomaterial analysis, disease diagnosis, etc., can solve the problems of establishing prediction models, unclear time series relationship, small sample size, etc., achieve comprehensive screening steps, improve prediction efficiency, The effect of rigorous screening steps

Active Publication Date: 2021-10-08
HUAZHONG UNIV OF SCI & TECH +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the past ten years, epidemiological studies on the metabolome of gestational diabetes have been reported successively (Mao, Chen et al.2017, McCabe and Perng 2017, Chen, Francis et al.2018): However, most of them are cross-sectional or case-control Research design, the measurement of the metabolome in various biological samples is usually at the time of disease diagnosis, after onset, or even postpartum, because the disease has already occurred, the metabolite changes may be caused by gestational diabetes rather than changes when gestational diabetes does not occur, The time series relationship is not clear, and causal inference cannot be made, nor can it be used to establish a prediction model; the sample size of previous studies is small, the number of cases is usually less than 100, and the statistical test efficiency is not high; scarcity

Method used

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  • Screening and application of early pregnancy blood lipid biomarker for gestational diabetes mellitus
  • Screening and application of early pregnancy blood lipid biomarker for gestational diabetes mellitus
  • Screening and application of early pregnancy blood lipid biomarker for gestational diabetes mellitus

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0075] Embodiment 1: extract plasma lipid

[0076] Aliquot 20 μL of plasma to 11 μL of internal standard mixture (containing 400 pmol PC 14:0, PE 17:0, CE16:0(d7), COH(d7), BMP 14:0, SM 12:0, PG 14:0 and PA 14:0; and 50 pmol TG 16:0 / 18:0 / 16:0(d5), LC 16:0(d3), GC 16:0(d3)], continue with 244 μL butanol: A mixture of methanol (1:1, v / v) and 10 mM ammonium formate was mixed for lipid extraction and protein precipitation. The sample mixture was fully vortexed and sonicated in ice water for 1 hour, and centrifuged at 14000×g for 10 min at 20 ° C. The supernatant Transfer to instrumental analysis.

Embodiment 2

[0077] Example 2: Ultra-high performance liquid chromatography-mass spectrometry on-board detection

[0078] Using ExionLCTM AD ultra-high performance liquid chromatography-mass spectrometry (UHPLC, AB Sciex, Toronto, Canada), equipped with Agilent Eclipse Plus C18 column (Agilent Technologies), and combined with QTRAP 5500 mass spectrometer (AB Sciex, Toronto). A ZORBAX Eclipse Plus C18 column (1.8 μm, 2.1×50 mm, Agilent) was used according to the chromatographic conditions, and the sample injection volume was 2 uL. Mobile phase A and mobile phase B were mixtures of water, acetonitrile and isopropanol in ratios of 50:30:20 and 1:9:90, respectively, and both A and B contained 10 mM ammonium formate. Control the autosampler at 25°C and control the temperature of the chromatographic column at 45°C to achieve optimal analyte solubility and peak separation. The mobile phase flow rate was 0.3 ml / min and the gradient was as follows: start with 25% B, increase from 25% B to 49% in 0...

Embodiment 3

[0085] Embodiment 3: the processing of chromatogram

[0086] Import the experimental data into the analysis1.6.3 software (AB Sciex), and draw the standard curve. The chromatogram of the plasma lipid group is attached figure 2 shown. The concentration of each molecule was calculated using the internal standard method by relating the peak area of ​​each molecule to that of the corresponding internal standard.

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Abstract

The invention relates to screening and application of an early pregnancy blood lipid biomarker for gestational diabetes mellitus, and belongs to the technical field of lipidomics and human health. Based on prospective design and screening, 1-alkyl, 2-acyl phosphatidylcholine (36: 1), 1-alkenyl, 2-acyl phosphatidylethanolamine (38: 6), phosphatidylinositol (40: 6) and diacylglyceride (18: 0 / 18: 1) and 1-alkyl, 2-acyl phosphatidylethanolamine (40: 5) in blood are related to the increase of the risk of gestational diabetes mellitus, and monohexosyl ceramide (18: 0), dihexosyl ceramide (24: 1), phosphatidylcholine (40: 7), dihexosyl ceramide (24: 0) and sphingomyelin (34: 1) are related to the reduction of the risk of gestational diabetes. The biomarker can be used as a detection target for predicting gestational diabetes mellitus, or can be used as a target for preparing a medicine for treating and / or preventing gestational diabetes mellitus.

Description

technical field [0001] The present invention belongs to the technical field of lipidomics and human health, and more specifically, relates to a series of blood lipid biomarkers associated with the onset of gestational diabetes in the first trimester, especially to blood lipid biomarkers in the first trimester of pregnancy. Screening and application of markers. Background technique [0002] Gestational diabetes mellitus (GDM) is abnormal glucose tolerance first discovered during pregnancy and is one of the common diseases during pregnancy. The incidence of gestational diabetes in my country is close to 15%, and the total number of patients ranks first in the world (Gao, Sun et al. 2019). Poor control of gestational diabetes will directly lead to adverse pregnancy outcomes (Metzger, Lowe et al.2008), and will also significantly increase the risk of long-term type 2 diabetes mellitus (T2DM) (Noctor and Dunne2015) or cardiovascular disease for pregnant women themselves (Tobias...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/50G01N33/92
CPCG01N33/50G01N33/92G01N2800/368
Inventor 潘安陈达潘雄飞王意黄以超袁佳英刘晓途叶依
Owner HUAZHONG UNIV OF SCI & TECH
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