37 results about "Eclampsia preeclampsia" patented technology

Provided in the present invention are a method for constructing a pre-eclampsia risk assessment prediction model, and a prediction product, a prediction system, and a related application of the method. Specifically, the method of the present invention comprises: constructing a logistic regression analysis model on the basis of acquired clinical indexes of a pregnant woman, and obtaining the prior probability of early-onset pre-eclampsia or late-onset pre-eclampsia in the pregnant woman; performing median-of-multiples calibration on an acquired MAP, IGFBP1 and / or PLGF of the pregnant woman, and respectively constructing a multivariate normal distribution model for a sick pregnant woman and a multivariate normal distribution model for a healthy pregnant woman on the basis of an MAP MoM value and an IGFBP1 MoM value and / or a PLGF MoM value, so as to obtain the conditional probability of early-onset pre-eclampsia or late-onset pre-eclampsia in the pregnant woman; and in view of the prior probability and the conditional probability, calculating the posterior probability of early-onset pre-eclampsia or late-onset pre-eclampsia in the pregnant woman on the basis of a Bayesian model. In the present invention, the detection of related protein markers and the obtaining of maternal clinical information data are relatively easy, the accuracy of predicting early-onset pre-eclampsia and late-onset pre-eclampsia is relatively high, and clinical popularization and application are facilitated; therefore, the present invention is of great value to the prevention and early diagnosis of a disease.

The invention discloses a preeclampsia mouse model. The preeclampsia mouse model is constructed by the following method: (1) combining a female mouse with a male mouse; (2) in the middle stage of pregnancy, intragastric administration of hypoxanthine and oteracil potassium salt is carried out on the pregnant mouse for a period of time; the invention also discloses a construction method and application of the gene. The invention provides a novel preeclampsia modeling mode, hypoxanthine and oteracil potassium salt are combined for use, and the administration dosage and the administration mode of hypoxanthine and oteracil potassium salt are controlled, so that the serum uric acid level of a model mouse is stably increased, preeclampsia change occurs in the model mouse, and the model mouse can be used for treating preeclampsia. The stability, specificity and pathophysiology characteristics of the model are ensured to be similar to those of human preeclampsia, so that the uric acid-induced preeclampsia mouse model is successfully constructed. The uric acid induced preeclampsia mouse model provides a valuable tool for researching the pathogenesis of preeclampsia, evaluating a new treatment method and understanding the effect of serum hyperuricemia in preeclampsia.

The invention discloses a construction method and application of a preeclampsia animal model based on an RASA3 target, and belongs to the technical field of biomedicine.The preeclampsia animal model is constructed by injecting Ad-RASA3 into a pregnant mouse and monitoring pathological indexes, related to preeclampsia, of the pregnant mouse. According to the method, the animal model with preeclampsia-like clinical symptoms can be stably induced, the abnormal change of the uterine spiral artery remodeling process can be systematically monitored, the method is high in operation controllability and model stability, and an effective tool can be provided for deeply researching the pathogenesis of preeclampsia and developing a novel diagnosis and treatment strategy.

The invention provides a biomarker for predicting the preeclampsia risk, application of the biomarker and a method for detecting whether an object has the preeclampsia risk or not. According to the method for detecting whether the object has the preeclampsia risk, preeclampsia risk prediction is carried out on all pregnant women in the early and middle stages of pregnancy, whether preeclampsia high-risk groups exist or not is not distinguished, and risk prediction can be carried out before symptoms occur; different types of free RNA in blood are associated with preeclampsia, the biomarker is used for constructing a preeclampsia prediction model in at least 300 samples, and the specificity of the preeclampsia prediction model during pregnancy can be improved to 85% or above.

The invention provides a metabonomics-based preeclampsia risk assessment prediction model construction method, a prediction model, application of metabolites, a metabolite detection kit, a prediction product, a prediction system and related application thereof. Specifically, clinical indexes and metabolite data of a pregnant woman serve as input, whether the pregnant woman suffers from preeclampsia or not serves as output, model construction is conducted through a machine learning method, and a preeclampsia risk assessment and prediction model is obtained. The metabolite is selected from at least one of 4-hydroxyphenyllactic acid, homovanillic acid, ornithine, sarcosine, adenosine monophosphate and 3-methylbutyryl carnitine. According to the invention, not only are six metabolite markers strongly associated with preeclampsia found, but also effective prediction of early preeclampsia and late preeclampsia is realized by establishing a prediction model, and the method has extremely high clinical value.

The invention belongs to the technical field of biology, and particularly relates to application of baicalin to preparation of a medicine for treating preeclampsia by inhibiting trophoblast ferroptosis induced by NETs. The baicalin inhibits downstream signal transduction by specifically interfering a key activation step of PKC [beta] 2 and a membrane translocation process coupled with a second signal, and finally plays a role in inhibiting ferroptosis of trophoblasts. The discovery provides a brand new perspective for understanding the molecular action mechanism of the medicine. According to the application, baicalin influences ferroptosis induced by NETs in trophoblast cells by inhibiting membrane translocation and activation of PKC beta2, so that the biological function of baicalin is exerted. The discovery of the mechanism further deepens the important significance of people on NETs and baicalin in disease induction and treatment, and a thought is provided for research and development of a new treatment scheme for preeclampsia.

The invention discloses an application of TMEM106A as a target spot in preparation of a diagnostic kit and a targeted therapeutic drug. Relates to the technical field of immunodiagnosis. Specific applications are provided. The invention discloses a key effect of TMEM106A in podocyte injury related to preeclampsia. TMEM106A is significantly down-regulated in urine of a PE patient, is closely related to podocyte injury and inflammatory response, and can be used as an early noninvasive diagnostic marker; meanwhile, the targeted podocyte up-regulation TMEM106A has remarkable anti-inflammatory and kidney protection effects, and a theoretical basis and practical feasibility are provided for targeted therapy of PE-related podocyte injury. The invention provides a new way for early precise diagnosis and intervention strategy of PE, and has wide clinical application prospect.

This invention relates to a group of genes associated with gestational hypertension, a method for predicting gestational hypertension in early pregnancy using these genes, and related applications. Specifically, this invention obtains transcript start site feature values ​​from at least one of the following genes from the cfDNA sample of a pregnant woman: LOC124902572, EEF1A1P16, LOC105369767, GOLM2, CDRT7, MEIS3, and LOC105376108. These transcript start site feature values ​​are then input into a prediction model, and the output results are used to determine the risk of gestational hypertension. The number of sequences in the transcript start site region after correction based on the transcript start site feature values ​​is also considered. The prediction model obtained by this invention can effectively and robustly predict the risk of gestational hypertension (including preeclampsia) in early pregnancy, assisting doctors in early pregnancy intervention and reducing the risk of gestational hypertension.

The application provides application of FABP4 in preparation of a preeclampsia diagnosis product and a preeclampsia treatment drug, belongs to the technical field of biotechnology, and in particular, the application provides application of a FABP4 detection reagent in preparation of a preeclampsia diagnosis product and application of a FABP4 inhibitor in preparation of a preeclampsia treatment drug, and the application proves for the first time that FABP4 can be used as a preeclampsia diagnosis marker and proves that FABP4 can be directly used as a treatment target of preeclampsia, provides a diagnosis and treatment target for diagnosis and treatment of preeclampsia, lays a solid foundation for development of a preeclampsia treatment drug, and opens up a new way for precise treatment of preeclampsia.

This invention belongs to the field of pharmaceutical application technology, specifically relating to a folic acid derivative, its preparation method, and its application in preventing and treating ferroptosis. The folic acid derivative of this invention comprises compounds represented by general formula (I) and their pharmaceutically acceptable salts. The folic acid compounds provided by this invention, by introducing a lipophilic group or a specific group at the R position, yield compounds with good ferroptosis inhibitory activity, which can be used to treat non-alcoholic steatohepatitis, acute liver injury, cardiomyopathy, drug-induced cardiotoxicity, atherosclerosis, acute kidney injury, renal fibrosis, pneumonia, preeclampsia, osteoporosis, osteoarthritis, traumatic brain injury, and neurodegenerative diseases including Alzheimer's disease, Parkinson's disease, and epilepsy.

The invention discloses a pre-eclampsia environmental chemical substance risk prediction method based on multi-dimensional data. The method comprises the following steps: firstly, analyzing environmental chemical substance concentration based on exposure science, and calculating exposure risk frequency score; thirdly, comprehensively evaluating the correlation degree of environmental chemicals and preeclampsia based on epidemiology, and calculating an epidemiology risk score; then performing a cytotoxicity experiment based on toxicology of an in-vitro experiment to detect the influence of environmental chemical substances on cell activity; then, on the basis of metabonomics, the interference degree of environmental chemical substances is quantified through pathway enrichment analysis, and a metabolic interference score is calculated; calculating toxicological scores based on the toxicity database; and finally, integrating the various groups of chemical scores, calculating the risk scores of the environmental chemical substances and generating a preeclampsia foreign substance priority list. By fusing multi-omics and multi-source data, the environmental chemical substances are comprehensively and accurately detected and evaluated, and accurate prevention and control of high-risk chemicals and risk early warning of corresponding crowds are facilitated.

Disclosed are methods and apparatuses for treating a pregnancy related hypertensive disorder, such as pre-eclampsia and eclampsia, using ex vivo treatment with an anti-sFlt-1 antibody and an anti-sEng antibody bound to a solid support in order to reduce blood levels of sFlt-1 and sEng. The present disclosure relates to methods, systems, devices, and apparatuses for treating pregnancy-related hypertensive disorders such as pre-eclampsia and eclampsia.

The invention discloses a diagnostic marker for preeclampsia, relates to the technical field of biological medicines, and comprises application of a reagent for detecting PDCD5 in preparation of a diagnostic tool for preeclampsia. Experiments prove that the PDCD5 gene and the expression product thereof are differentially expressed in normal placenta tissue and peripheral blood as well as preeclampsia placenta tissue and peripheral blood, so that the PDCD5 gene and the expression product thereof can be used as biomarkers for diagnosing preeclampsia.

The invention provides an application of an AhR gene in preeclampsia detection and an application of a product for detecting the polymorphism of the AhR gene in preparation of a preparation for detecting preeclampsia. The polymorphism of the AhR gene is related to occurrence of PE, rs2158041T and rs713150G are protection factors for occurrence of diseases, and the AhR gene is a susceptible gene of the diseases. The AhR gene polymorphism is found to be related to the preeclampsia for the first time, and the risk that a subject suffers from the preeclampsia can be judged by detecting the distribution of the AhR gene polymorphism of the subject, so that a clinician is guided to provide a prevention scheme or a treatment scheme for the subject.

The invention belongs to the technical field of biomedicine, and particularly relates to a pre-eclampsia risk prediction model and a construction method and application thereof. The prediction model takes the pre-pregnancy body mass index as an input factor and takes ethnic, assisted reproduction and whether a primary puerpera or not as adjustment variables to carry out restrictive cubic spline analysis to obtain a correlation curve of the pre-pregnancy body mass index and the preeclampsia risk; the curve of the correlation between the pre-pregnancy body mass index and the preeclampsia risk is an inverted L-shaped curve, and the inflection point of the curve of the correlation between the pre-pregnancy body mass index and the preeclampsia risk is used as a risk threshold value to evaluate the preeclampsia risk. The risk threshold is determined, and a basis is provided for judging the preeclampsia risk.

The invention discloses a preeclampsia piRNA noninvasive diagnostic marker, a diagnostic kit and application, and belongs to the technical field of molecular biology, the marker is piR-002094, and the nucleotide sequence of the marker is shown as SEQ ID NO: 1. The marker disclosed by the invention can be applied to preparation of kits and preparation of therapeutic drugs of the kits. The kit comprises a specific primer and a standardized reagent, and can be used for sensitively detecting the expression (AUC = 0.779) of piR-002094 in plasma. The piR-002094 inhibitor (SEQ ID NO: 7) provides a new strategy for preeclampsia treatment by inhibiting the piR-002094 to reduce the secretion of IL-6 (Interleukin-6).

The invention is applicable to the technical field of biological medicine, and provides application of a traditional Chinese medicine monomer in preparation of a medicine for treating preeclampsia, the traditional Chinese medicine monomer is rhynchophylline, and the rhynchophylline is clear in source, high in safety and pure in structure. Retrieval shows that no research report or patent disclosure for the rhynchophylline for preeclampsia treatment exists at present, and no systematic evaluation of the rhynchophylline under a multi-model system exists. According to the invention, a multi-model system is constructed for the first time, the intervention effect of the rhynchophylline on the preeclampsia is systematically evaluated, and the situation that the rhynchophylline can remarkably improve gestational hypertension, reduce the urine protein level and repair placenta structure and functional damage is found, so that effective intervention on the preeclampsia is realized. The invention fills the technical blank in the field, has a good application prospect, and provides a safe and controllable natural active ingredient and an application scheme thereof for preeclampsia.

Disclosed in the present invention is the use of a water extract of Amomi fructus and / or a vanillic acid in the preparation of a drug for preventing and / or treating preeclampsia. Further disclosed in the present invention is the use of the water extract of Amomi fructus and / or the vanillic acid in the preparation of a drug for preventing and / or treating hypertension caused by preeclampsia, or a drug for preventing and / or treating proteinuria caused by preeclampsia, or a drug for reversing a reduction in placental weight caused by preeclampsia, or a drug for restoring fetal intrauterine growth restrictions caused by preeclampsia, or a drug for restoring pathological damage to placental tissue or placental dysfunction caused by preeclampsia, or a drug for reversing the reduction in placental efficiency caused by preeclampsia, or a drug for repairing colonic barrier damage or increased intestinal permeability caused by preeclampsia, or a drug for enriching the intestinal tract of a patient with preeclampsia with Bifidobacterium bifidum. The present invention overcomes the limitations of current drugs for treating preeclampsia which exhibit limited single therapeutic effects and gastrointestinal adverse reactions.

The invention discloses an application of an immune costimulatory factor TNFSF9 / TNFRSF9 as a marker in preparation of a preeclampsia intervention product, and the immune costimulatory factor as an intervention target comprises TNFSF9 and / or TNFRSF9. According to the application, activation and immune response of immune cells of the placenta are accurately regulated and controlled by targeting a TNFSF9 / TNFRSF9 signal channel (signal axis), so that immune system disorder is effectively improved, local and systemic inflammatory response is relieved, the immune homeostasis of the placenta is recovered, and the pathophysiological process of preeclampsia is relieved.

The application discloses a serine nano-drug for treating preeclampsia by targeting placental oxidative stress, which can pass through the placental barrier by changing the particle size, thereby increasing the local concentration of serine in the placenta to achieve the purpose of relieving placental oxidative stress and treating preeclampsia. The placental barrier is the barrier between the placental villus tissue and the uterine blood sinus, and is an important basis for maintaining normal pregnancy. However, the placental barrier also hinders the entry of drugs into the placenta, affecting the treatment effect of drugs on placental diseases, such as preeclampsia, fetal intrauterine growth restriction and the like. The nano-drug is prepared by using nano-preparation technology to make raw drugs into particles with a nano scale, and has the advantage of penetrating through the body barrier. The amino acid involved in oxidative stress regulation, serine, is synthesized into nano-serine by using nano technology, so that serine can pass through the placental barrier by changing the particle size of nano-serine, thereby increasing the local concentration of serine in the placenta, and achieving the purpose of treating preeclampsia by reducing placental oxidative stress.

The invention relates to an evaluation model and method for predicting a neonatal bad outcome based on antenatal examination. The main outcome of the neonatal adverse outcome comprises two parts of disease diagnosis and invasive treatment, and the neonatal adverse outcome is related to death and long-term health risk of children. The evaluation model comprises evaluation variables of weight gain during pregnancy, preeclampsia, umbilical artery S / D, congenital malformation and SGA, wherein the preeclampsia, the congenital malformation and the SGA are independent risk factors of neonatal adverse outcome. According to the scoring method, scoring is carried out based on the evaluation model, when at least one item of preeclampsia, congenital malformation, SGA and maternal congenital heart disease is' YES ', a neonatal adverse outcome high-risk group is prompted, and the higher the score is, the higher the probability of occurrence of the neonatal adverse outcome is. According to the invention, medical professionals can be rapidly helped to more effectively predict the neonatal adverse outcome, so that clinical decision-making is promoted.

The present application relates to the field of medical data analysis, and more particularly to a method for dynamically predicting the risk of pre-eclampsia premature birth based on monitoring indicators during pregnancy, which comprises: obtaining an individual measured time series set and a basic time weighted average feature; obtaining a recent transient decompensation momentum factor by performing recent deterioration dynamics analysis on monitoring data near the current evaluation time; obtaining a steady-state fracture and barrier breakdown factor by jointly evaluating the evolution trend and fluctuation potential of the historical monitoring sequence; obtaining a reconstructed fusion feature vector by fusing and reconstructing the basic time weighted average feature and the steady-state fracture and barrier breakdown factor; and obtaining a dynamic prediction result of the risk of premature birth by inputting the reconstructed fusion feature vector into a Cox proportional hazards model for risk prediction, thereby solving the problem that the existing prediction method based on time weighted average and linear feature fusion cannot effectively identify recent decompensation deterioration signals and maternal-fetal state deviation risks.

The present invention belongs to the field of biomedicine and relates to the use of leptin in the preparation of a drug for the prevention and / or treatment of preeclampsia. In vitro experiments demonstrate that leptin can promote trophoblast cell syncytialization. Further in vivo experiments confirm that leptin can lower maternal blood pressure and increase placental weight in a rat model of preeclampsia, suggesting broad application prospects in the drug treatment of preeclampsia.

The invention belongs to the field of biological medicines, and provides application of inosine in preparation of a medicine for preventing and / or treating preeclampsia. According to the invention, the pathological state of preeclampsia is simulated through subcutaneous injection of a nitroso-L-arginine methyl ester solution (125 mg / kg). And from the 9th day of pregnancy, gastro-inosine is irrigated once a day (100mg / kg) until the end of pregnancy. Compared with medicines with a single treatment effect, such as an antihypertensive medicine labeolol and a spasmolysis medicine magnesium sulfate, the invention proves that oral inosine not only can remarkably improve hypertension and proteinuria caused by preeclampsia, repair placenta functions, promote intrauterine growth and development of fetuses and correct imbalance of blood vessels and anti-angiogenesis factors, but also has the effects of preventing and treating the preeclampsia. In addition, kidney and brain injuries, induced by preeclampsia, of pregnant and lying-in women can be relieved, a more comprehensive treatment effect is shown, and a novel treatment medicine is provided for preventing or treating preeclampsia.

The invention discloses application of BCAT2 recombinant protein in preeclampsia rat model treatment, and belongs to the technical field of biomedicine, preeclampsia symptoms of a preeclampsia rat model can be improved or treated by taking an effective dose of BCAT2 recombinant protein as an injection medicine, including improvement of preeclampsia typical symptoms and signs such as blood pressure rise and proteinuria of the model, and the preeclampsia typical symptoms and signs of the model can be improved. The BCAT2 recombinant protein provided by the invention can be used for improving the preeclampsia phenotype, improving liver and kidney function impairment, and improving fetal rat intrauterine development limitation and other performances, so that the treatment or improvement effect of the BCAT2 recombinant protein on the preeclampsia phenotype can be proved, and an animal model can be provided for discussing pathogenesis, clinical diagnosis and treatment strategies and the like of severe preeclampsia. And a related research basis is also provided for preparing a medicine for improving or treating preeclampsia by using the BCAT2 recombinant protein.

The application discloses an application of an agonist of a cAMP-activated exchange protein in preparation of a drug for treating preeclampsia, and belongs to the technical field of biological medicines, wherein the drug is used for treating preeclampsia by activating a Rap1 signal pathway of human aortic smooth muscle cells inhibited by a RASA3 protein, and the agonist of the cAMP-activated exchange protein is 8-CPT-2'-O-Me-cAMP or a pharmaceutically acceptable salt or solvent mixture thereof. The application proves for the first time that the compound has a function of promoting migration and remodeling in vascular smooth muscle cells, and successfully applies the compound to the treatment of preeclampsia, a pregnancy-related vascular disease, thereby expanding a new use of the compound in the field of clinical treatment of preeclampsia.

The invention discloses a PAPPA2-171aa protein and an application of the PAPPA2-171aa protein. The amino acid sequence of the PAPPA2-171aa protein is as shown in SEQ ID NO: 1. The PAPPA2-171aa protein which can be used for inhibiting invasion and migration of trophoblast cells is obtained through screening, through overexpression of the PAPPA2-171aa, it is found that the invasion and migration capacities of the trophoblast cells are obviously inhibited, it is indicated that the PAPPA2-171aa protein can participate in regulation and control of occurrence and development of preeclampsia, the PAPPA2-171aa protein can be used for screening drugs for treating preeclampsia, and the PAPPA2-171aa protein can be used for preparing drugs for treating preeclampsia. And a new research direction is provided for developing a medicine for treating preeclampsia.

Methods of detecting pre-term pre-eclampsia in specific sub-cohorts of pregnant women are described. The methods employ metabolite biomarkers and ratios of metabolite biomarkers. Systems for early calculation of risk of pre-term pre-eclampsia in specific sub-cohorts of pregnant women are also described.

The invention relates to a method for screening and predicting a lipid biomarker for preeclampsia based on wide targeting lipidomics. The method comprises the following steps: (1) pre-treating a sample; (2) carrying out targeted lipidomics detection; (3) qualitative and quantitative analysis of lipid markers; and (4) screening of differential lipid markers. According to the invention, lipid metabolism markers such as DAG (16: 1 / 18: 1) and the like are screened through the method, and clinical research support is expected to be provided for clinical exploration of pathogenesis of preeclampsia.