Biomarker, method and early warning model for predicting gestational diabetes mellitus in early pregnancy

A technology of biomarkers and early warning models, applied in the direction of measuring devices, instruments, scientific instruments, etc., can solve the problems of lack of accuracy, reduce medical costs and social burdens, improve pregnancy outcomes and fetal prognosis, and intervene in disease effects

Pending Publication Date: 2022-02-11
CHINA JAPAN FRIENDSHIP HOSPITAL +2
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  • Abstract
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  • Application Information

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Problems solved by technology

At present, there is still a lack of specific biomarkers with high accuracy and specificity for GDM screening in the first trimester

Method used

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  • Biomarker, method and early warning model for predicting gestational diabetes mellitus in early pregnancy
  • Biomarker, method and early warning model for predicting gestational diabetes mellitus in early pregnancy
  • Biomarker, method and early warning model for predicting gestational diabetes mellitus in early pregnancy

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Embodiment Construction

[0026] The present invention will be further described in detail below in conjunction with the accompanying drawings, so that those skilled in the art can implement it with reference to the description.

[0027] It should be understood that terms such as "having", "comprising" and "including" used herein do not exclude the presence or addition of one or more other elements or combinations thereof.

[0028] The present invention provides a biomarker for predicting gestational diabetes in the first trimester, wherein the biomarker is eicosapentaenoic acid (EPA), glucose and 4-aminobutyraldehyde (4-aminobutanal); wherein, the biomarker is up-regulated in the first trimester between pregnant females and healthy pregnant females.

[0029] In one of the embodiments, the biomarkers also include: aminoimidazole nucleotide (aminoimidazoleribotide), glycerophosphatidylcholine (hepatic metabolism) (glycerophosphocholine), L-alanine (L-alanine), 1- Sphingosine 1-phosphate, phenylpyruvate...

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Abstract

The invention discloses a biomarker for predicting gestational diabetes mellitus at an early pregnancy stage, which comprises one or more of 30 biomarkers such as eicosapentaenoic acid (EPA), glucose, 4-aminobutanal and the like, and one or more of the 30 biomarkers such as EPA (eicosapentaenoic acid), glucose, 4-aminobutanal and the like. The biomarker changes in the multiple of the content difference between a pregnant female body and a healthy pregnant female body at the early pregnancy stage. The invention also provides a method and an early warning model for predicting gestational diabetes mellitus at the early pregnancy stage, and the occurrence of gestational diabetes mellitus can be predicted more individually and accurately at the early pregnancy stage only by using a small amount of blood samples.

Description

technical field [0001] The invention relates to a method for predicting gestational diabetes in the first trimester. More specifically, the present invention relates to a biomarker, method and early warning model for predicting gestational diabetes in the first trimester. Background technique [0002] Gestational diabetes mellitus (GDM) refers to abnormal glucose metabolism of varying degrees that occurs or is discovered for the first time during pregnancy. With the postponement of childbearing age and changes in lifestyle, the incidence of GDM has shown a clear upward trend, and tends to develop younger, which has become a global pregnancy health problem. GDM can increase the risk of multiple complications in the mother and offspring, such as miscarriage, gestational hypertension, macrosomia, congenital defects, deformities, perinatal death, etc., and type 2 diabetes (T2DM) occurs in women with a history of GDM. ) and their offspring have significantly increased risks of ...

Claims

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Application Information

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IPC IPC(8): G01N30/02G01N30/06G01N30/34G01N30/36G01N30/72
CPCG01N30/02G01N30/06G01N30/34G01N30/36G01N30/7266
Inventor 刘丽宏安卓玲赵瑞刘燕萍马良坤
Owner CHINA JAPAN FRIENDSHIP HOSPITAL
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