Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Test kit for prediction or early diagnosis of hypertension of pregnancy

A technology for gestational hypertension and early diagnosis, applied in disease diagnosis, biological testing, measuring devices, etc., can solve problems such as sensitivity that does not meet clinical requirements and cannot effectively distinguish obstetric diseases.

Inactive Publication Date: 2014-01-15
INST OF ZOOLOGY CHINESE ACAD OF SCI
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the sensitivity of these molecules for the detection of preeclampsia patients in the population is not up to the clinically required standard, and it cannot effectively distinguish preeclampsia from some other obstetric diseases, such as IUGR

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Test kit for prediction or early diagnosis of hypertension of pregnancy
  • Test kit for prediction or early diagnosis of hypertension of pregnancy
  • Test kit for prediction or early diagnosis of hypertension of pregnancy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] Example 1 Application of sMet in Prediction or Early Diagnosis of Hypertensive Disorders in Pregnancy

[0045] 1. Experimental design

[0046] The experiment can be divided into two parts: training-validation. The cohort for the training study included 3336 pregnant Chinese Han women. The plasma sMet levels of these pregnant women were measured at 6-10, 11-14, 15-20, 21-26, 27-34 weeks and >34 weeks of pregnancy. The validation study cohort included 62 Chinese Han women with normal pregnancy and 62 Chinese Han women with preeclampsia. The plasma sMet levels of these pregnant women were measured at 14-20 weeks of gestation.

[0047] The study was approved by the Ethics Committee of the Institute of Zoology, Chinese Academy of Sciences, the Ethics Committee of the Third Affiliated Hospital of Peking University, the Ethics Committee of the First Affiliated Hospital of Peking University, and the Ethics Committee of Beijing Miyun Hospital. Patients participating in the s...

Embodiment 2

[0069] Example 2 Application of SerpinF2 in Prediction or Early Diagnosis of Hypertensive Disorders in Pregnancy

[0070] 1. Case selection and plasma sample collection

[0071] This study was a prospective nested case-control study, and the research protocol was approved by the Institute of Zoology, Chinese Academy of Sciences and the Ethics Committee of Peking University First Hospital. The research subjects were pregnant women who received prenatal care in Peking University First Hospital from November 2005 to December 2007. The peripheral blood of pregnant women was collected at different stages of pregnancy. After delivery, the subjects were divided into normal pregnancy group according to the pregnancy outcome. and severe preeclampsia group. The selected research objects excluded chronic hypertension, diabetes, history of kidney disease, twins, hepatitis, tumor and other diseases and medical history; the definition standard of normal pregnancy was: all indicators before...

Embodiment 3

[0079] Example 3 The application of quorone and estradiol in prediction or early diagnosis of hypertensive disorders in pregnancy

[0080] 1. Cases and samples involved in the experiment

[0081]The prospective cohort involved in the study came from the regular antenatal care population of Peking University Third Hospital from June 2009 to December 2010. The population included 3336 pregnant women, including 194 multiple pregnancies, 5 cases were younger than 18 years old or older than 45 years old, 23 cases gave birth before 28 weeks of gestation, and 784 cases had other diseases not related to hypertension. All the above cases were excluded from this study. Of the remaining 2330 cases, 1911 were normal pregnancies, 78 were severe preeclampsia, and the rest were other pregnancy complications. All cases in this population collected 2mL of peripheral blood and obtained plasma at 6-10, 11-14, 15-20, 21-26, 27-34 weeks and >34 weeks of pregnancy. The collected plasma was store...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a test kit for prediction or early diagnosis of hypertension of pregnancy. The test kit is used for detecting markers in the plasma, serum, urine or placenta of a pregnant woman after 6-week pregnancy, and the markers are at least one of sMet, SerpinF2, testosterone and estradiol. Through large sample size validation, the level of sMet in the plasma of a pregnant woman suffered from preeclampsia or having high preeclampsia susceptibility after 14-week pregnancy is significantly lower than that of a normal pregnant woman, and the level of SerpinF2 or To / E2 in the plasma of a pregnant woman suffered from preeclampsia or having high preeclampsia susceptibility is significantly higher than that of a normal pregnant woman. The result is far better than the results of angiogenesis factor (such as VEGF, P1GF) and anti-angiogenic factor (such as sFlt-1 and sEndoglin) which are regarded as the currently best factors for predicting preeclampsia or preeclampsia susceptibility. The test kit provided by the invention is helpful for prediction and diagnosis of preeclampsia.

Description

technical field [0001] The invention relates to a detection kit, in particular to a kit for predicting or early diagnosing hypertensive disorders in pregnancy. Background technique [0002] Preeclampsia is a hypertensive disorder of pregnancy characterized by hypertension and proteinuria. The incidence of the disease is 2-7% of pregnant women, and it is one of the main causes of maternal and child mortality. The typical clinical features of preeclampsia can be detected after 20 weeks of gestation by blood pressure and urine tests for hypertension and proteinuria. However, these clinical features are preceded by pathological damage to the pregnant woman and her fetus. Therefore, specific early diagnosis before the appearance of clinical features of preeclampsia can enable timely and effective treatment of mothers and babies, thereby reducing the risks suffered by mothers and babies. The current routine examinations cannot be used as an early diagnosis method for preeclamps...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/74
CPCG01N33/743G01N33/6893G01N2800/321G01N33/74G01N33/64G01N2333/723G01N2800/368G01N2800/52
Inventor 王雁玲刘明李玉侠吉蕾
Owner INST OF ZOOLOGY CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com