Method for screening severe preeclampsia patient in early pregnancy

Abstract

The invention relates to a method for screening a severe preeclampsia patient in an early pregnancy, which adopts plasma fibronectin FN and complement 4b of a pregnant woman in the early pregnancy as early pregnancy plasma markers for predicting sPE, and establishes a prediction model for predicting or assisting in predicting whether the pregnant woman progresses to the sPE patient, so that the sPE can be accurately predicted. The method has the beneficial effects that the plasma biological marker of the sPE pregnant woman at the early pregnancy stage is searched by adopting an MS-based proteomics method, and the differential expression plasma marker obtained by proteomics analysis is verified through a commercially available ELISA kit;through proteomics analysis and ELISA verification, based on the difference indexes in the pregnant woman baseline features and the difference indexes in the pregnant woman plasma biomarkers in the prospective queue, an early pregnancy prediction model of sPE is constructed, the prediction accuracy of sPE is improved, clinical early intervention is guided, the incidence rate of PE is reduced as much as possible, and adverse pregnancy events are reduced.

Description

technical field [0001] The invention belongs to the technical field of clinical medicine, in particular to a method for screening patients with severe preeclampsia in the first trimester. Background technique [0002] Preeclampsia (preeclampsia, PE), as the most important subtype of hypertensive disorder in pregnancy (HDP), is a multi-system dysfunction disease that mainly occurs after 20 weeks of pregnancy. New-onset hypertension and proteinuria, severe cases can progress to severe preeclampsia (severe preeclampsia, sPE) or eclampsia (eclampsia), which is fatal, and is one of the risk factors with the highest perinatal morbidity and mortality First, it seriously threatens the health of mothers and babies. A number of epidemiological investigations have confirmed that women with a history of PE and their offspring are more prone to cardiovascular events, and it is speculated that there may be common key risk factors with PE and cardiovascular disease (cardiovascular disease...

AI Technical Summary

Problems solved by technology

[0003] PE is a systemic inflammatory and vascular disease that occurs in pregnant women during pregnancy, and is a lifetime risk factor for subsequent cardiovascular events in women. At present, there is no effective prevention and treatment strategy, mainly based on the following two points: 1. PE as a "theoretical "The disease, pathology and pathophysiological mechanism are unknown. At present, the most effective solution is to end the pregnancy and deliver the placenta. However, this solution takes into account the health of the mother, but it will inevitably cause too many premature babies, affect the health of the fetus, and aggravate family problems. and social burden

How to identify PE as early as possible and adopt different strategies for different types of PE (such as intensive monitoring, low-dose aspirin and timely termination of pregnancy) is a great challenge for medical workers

2. Pregnant women with PE mostly have no clinical symptoms in the first and second trimesters of pregnancy, and clinical symptoms characterized by hypertension and proteinuria do not appear until at least 20 weeks of pregnancy, and intervention measures (such as antihypertensive drugs) can be improved after the symptoms appear. Clinical symptoms of pregnant women, but limited effect on prognosis of pregnant women and fetuses

The current problems encountered in the prediction of PE are: on the one hand, the accuracy of a single predictor is low, and the research conclusions are not consistent; on the other hand, if the time interval between the prediction time point and the onset of PE is too short, and the best intervention time is missed, the prediction is of practical significance. not big

Considering the complex mechanism of protein post-translational modification, protein-protein interaction, etc., combined with the heterogeneity of PE and various research results, researchers currently have a consensus on the direction of PE prediction, that is, a single predictor cannot effectively predict PE. , it is necessary to use a combination of multiple indicators to improve the PE prediction level

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