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System for Predicting Blood Glucose Level of Pregnant Individuals

A blood sugar level and individual technology, applied in the field of medical diagnosis, can solve problems such as unfavorable improvement of maternal and child outcomes, poor patient compliance, and unclear pathogenesis of GDM

Active Publication Date: 2022-06-21
杭州凯莱谱精准医疗检测技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional basis for GDM diagnosis is to take 75g of sugar orally at 24-28 weeks of pregnancy, such as glucose and tolerance test. It is carried out at this time, the timing is late, and the patient's compliance is not good. The adverse effects of high blood sugar and related metabolic disorders on mother and child have already occur, which is not conducive to improving maternal and child outcomes
Since the pathogenesis of GDM is still unclear, markers and early detection methods that accurately reflect the GDM phenotype are still lacking

Method used

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  • System for Predicting Blood Glucose Level of Pregnant Individuals
  • System for Predicting Blood Glucose Level of Pregnant Individuals
  • System for Predicting Blood Glucose Level of Pregnant Individuals

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0118] Example 1: Collection of serum samples

[0119]Serum samples from normal pregnant women and gestational diabetes mellitus were collected from individuals with gold standard testing and confirmed normal pregnant women and gestational diabetes mellitus samples, 30 each, all in the second trimester (20-28 weeks).

Embodiment 2

[0120] Example 2: Extraction of serum metabolites

[0121] In the ratio of 1:4, methanol precipitant containing multiple isotopic internal standards was added to the serum samples, shaken for 3 minutes, and then centrifuged at 4000 × g for 10 minutes at 20 °C. Four 100 μL supernatants were taken from each sample into four sample plates, dried with nitrogen, and multiple isotopic internal standard-containing complex solutions were added for subsequent UPLC-MS / MS detection.

Embodiment 3

[0122] Example 3: Detection of extracted serum metabolites and data preprocessing

[0123] (1) Liquid chromatography / mass spectrometry conditions

[0124] All four UPLC-MS / MS methods were performed using ACQUITY 2D UPLC (Ultra-Performance Liquid Chromatography; Waters, Milford, MA, USA) combined with Q Exactive (QE) high-resolution mass spectrometry (Thermo Fisher Scientific, San Jose, USA). The mass spectrometry parameters are: scanning resolution 35000, scanning range 70-1000 m / z.

[0125] The specific parameters of the four UPLC-MS / MS methods are as follows:

[0126] Method 1: QE was detected by positive ion electrospray ionization (ESI) mode, and the liquid phase was separated by a C18 column (UPLCBEH C18, 2.1x100 mm, 1.7 μm; Waters), and the mobile phase was 0.05% PFPA (pentafluoropropane) anhydride) and 0.1% FA (formic acid) in water (A) and methanol (B);

[0127] Method 2: QE was detected by negative ion electrospray ionization (ESI) mode, and the liquid phase was se...

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Abstract

The present invention relates to a system for predicting the blood glucose level of pregnant individuals, which is characterized in that the system includes an operation module, and the operation module includes a support vector regression model, using the concentration of biomarker substances in the fasting blood samples of pregnant individuals and passing The support vector regression model is used to predict the blood glucose level of pregnant individuals at 1 hour and / or 2 hours after fasting. The invention provides a biomarker and a diagnostic model for the differential diagnosis of gestational diabetes, which can be applied to the early diagnosis or prediction of gestational diabetes, and have great significance for the prevention or treatment of gestational diabetes.

Description

technical field [0001] The present invention relates to the field of medical diagnosis, in particular to a system for diagnosing diabetes mellitus, especially gestational diabetes mellitus, and a system for diagnosing whether a pregnant individual is diabetic by using metabolomics to screen biomarkers of diabetes mellitus. Background technique [0002] Metabolomics is a discipline that conducts qualitative and quantitative analysis of small molecule metabolites with relative molecular weights less than 1000 in the body. Metabolomics analysis can reflect the physiological and pathological conditions of the body, and can also distinguish the differences between different individuals. With the development of mass spectrometry, liquid chromatography coupled with mass spectrometry (LC-MS) has become the most important research tool in metabolomics research. At present, metabolomics has been widely used in the field of clinical diagnosis, mainly to discover metabolic markers rela...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N30/02G01N30/72G01N30/86G16C20/70
CPCG01N30/02G01N30/72G01N30/8693G16C20/70G01N2030/027
Inventor 孔子青朱宇宁张超陈荣昌张雪刘华芬
Owner 杭州凯莱谱精准医疗检测技术有限公司
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