Genetic predictors of preeclampsia (a review)

Цахилова, С.Г.; Акуленко, Л. В.; Kuznetsov, V. M.; Balios, L. V.; Skobennikov, A. Yu.; Sozayeva, L. G.; Mikhaylova, Yu. V.

doi:10.17116/repro2017231110-114

Cited by 4 publications

(1 citation statement)

References 13 publications

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“…По данным С.Г. Цахиловой и соавторов, отмечена положительная ассоциация между носительством гомозиготного полиморфизма в гене PLAT и преэклампсией [19].…”

Section:  результаты и обсуждениеunclassified

4P-Medicine in Obstetrics: Perspectives and Opportunities

Гутикова¹,

Ганчар²

2022

Репродуктивное Здоровье. Восточная Европа

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Цель исследования. Обобщение и актуализация существующих данных о генетических и метаболомических исследованиях в акушерстве.Материалы и методы. В обзор включены данные приоритетных публикаций об исследовании генома и метаболома при акушерских осложнениях.Результаты и обсуждение. Изучение молекулярно-генетических механизмов развития акушерских осложнений максимально приблизит нас к 4П-медицине, построенной на принципах персонализированного подхода к здоровью человека и интегрирующей понятия персонализации (индивидуальный подход к каждому пациенту), предикции (создание вероятностного прогноза акушерской патологии), превентивности (профилактика акушерских осложнений), партисипативности (мотивированное участие пациента). Purpose of the study. Generalization and updating of existing data on genetic and metabolomic research in obstetrics.Materials and methods. The review includes data from priority publications on the study of the genome and metabolome in obstetric complications.Results and discussion. The study of the molecular genetic mechanisms of the development of obstetric complications will bring us as close as possible to 4Р-medicine, built on the principles of a personalized approach to human health and integrating the concepts of personalization (an individual approach to each patient), prediction (creation of a probabilistic forecast of obstetric pathology), prevention (prevention of obstetric complications), participation (motivated patient participation).

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Section:  результаты и обсуждениеunclassified

4P-Medicine in Obstetrics: Perspectives and Opportunities

Гутикова¹,

Ганчар²

2022

Репродуктивное Здоровье. Восточная Европа

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Predicting the Development of Great Obstetric Syndromes Based on Multilocus Genetic Analysis: Results of a Retrospective Comparative Cohort Study

et al. 2021

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Background. Great obstetric syndromes are pathological conditions, related to the level of maternal, perinatal and infant morbidity and mortality. There is a genetic component in the development of pregnancy complications, as evidenced by numerous clinical observations and research results. Purpose to study the frequency characteristics of the occurrence of polymorphic variants of various genes and their combinations in patients who underwent pregnancy complicated by great obstetric syndromes in comparison with women whose pregnancy proceeded without complications and successfully ended with the birth of a live full-term baby. Methods. A retrospective comparative cohort study was conducted. Molecular genetic research was carried out in 391 women: 279 women who underwent one of the verified clinical forms related to great obstetric syndromes (main group), 112 women were included in the control group. 37 polymorphisms in 33 genes were studied (FGB, F2, F5, F7, F13, GPIa, GPIIIa, GPVI, PROC, PAI1, PLAT, MTHFR, MTHFD, MTRR, MTR, SLC19A1, CBS, NOS3, END1, ACE, ADD1, AGT , CYP11B2, GSTM, GSTT, GSTP1, MnSOD, GPX1, IL1, TNF-a, ESR1, ESR2, PGR). Results. The most significant polymorphisms and their combinations were identified. In the main group, the following combinations were more common: ACE Alu I/D ID + AGT А704G GG, AGT А704G GG + MTRR A66G AG, F7 G10976A GG + AGT А704G GG, F7 G10976A GG + F13 G103A GG, F7 G10976A GG + GPIa С807T CC, F7 G10976A GG + MTHFR C677T CC, CYP11B2 G-344A GA + IL1 G+3953A GA, PAI1-657 5G/4G 5G4G + IL1 G+3953A AA, PAI1-657 5G/4G 4G4G + IL1 G+3953A AA, in control group AGT A704G AA + MTRR A66G AG, AGT A704G AG + MTRR A66G AG (the differences are statistically significant). To simplify the practical application of the analysis for genetic polymorphisms, a computer program named GOS RISK was created to assess the risk of pregnancy complications. The sensitivity and specificity were 70.8% and 78.8%, the efficiency of the method 74.8%. Conclusion. Analysis of individual polymorphic variants of genes indicates their role in the discussed pathology. Creation of computer programs based on multilocus genome analysis increases the predictive value of molecular genetic studies.

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Prediction of severe pre-eclampsia in low-risk women

Фролова

Belokrinitskaya

Kolmakova

2021

Fundamentalʹnaâ i kliničeskaâ medicina

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Aim. To find the predictors of severe pre-eclampsia in women without any established risk factors.Materials and Methods. We consecutively recruited 200 pregnant women (100 with severe pre-eclampsia and 100 with uncomplicated pregnancy and successful delivery). Criteria of inclusion were age from 18 to 35 years, absence of significant comorbid conditions (cardiovascular diseases, autoimmune diseases, metabolic disorders, and kidney diseases), absence of family history and past medical history of pre-eclampsia and thromboembolism, singleton pregnancy, and body mass index in the first trimester < 35 kg/m2 . We assessed allele and genotype distribution across several gene polymorphisms (ADD1-1378G>T, AGT704T>C, AGT-521C>T, AGTR1-1166A>C, AGTR2-1675G>A, NO3-894G>C, and NO3-786T>C) potentially associated with severe pre-eclampsia.Results. We found that the combination of AGTR2-1675АA and eNOS3-786СC polymorphisms (p = 0.04), bacteriuria (p < 0.001), acute respiratory infections (p = 0.011) and acute vulvovaginitis in second and third trimesters (p = 0.013), smoking (p < 0.001), and past medical history of abortions (p = 0.017) were risk factors of severe pre-eclampsia.Conclusions. Predictors of severe pre-eclampsia revealed in this study can be used in the development of personalised prognostication during pregnancy in patients without conventional risk factors of pre-eclampsia.

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Genetic predictors of preeclampsia (a review)

Cited by 4 publications

References 13 publications

4P-Medicine in Obstetrics: Perspectives and Opportunities

4P-Medicine in Obstetrics: Perspectives and Opportunities

Predicting the Development of Great Obstetric Syndromes Based on Multilocus Genetic Analysis: Results of a Retrospective Comparative Cohort Study

Prediction of severe pre-eclampsia in low-risk women

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