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Placental prostate-specific antigen content in preeclampsia

100%
Can M., Acıkgoz S., Guven B., Bayar U. O.
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2012
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vol. 59
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issue 3
367-369
EN
Preeclampsia is a multisystem disorder that can manifest clinically with hypertension and proteinuria. Previous studies reported the presence of placental PSA in normal pregnancy but no study has been done in preeclampsia. The aim of this study was to investigate PSA content in preeclampsia. Preeclampsia was diagnosed according to the American College of Obstetricians and Gynecologists criteria. Placentas were obtained from 33 preeclamptic and 34 normotensive women. Placenta samples were homogenized and the supernatants were immediately analyzed. The tissue PSA content was measured by Immulite 2000 PSA assay. The data were analyzed with Student's t-test and Pearson correlation test. There was a significant difference in placental PSA content between preeclamptic and normotensive women. Placental content of PSA was higher in the preeclamptic group with intrauterine growth restriction (IUGR) than in the preeclamptic and normotensive pregnant without IUGR groups. No significant difference was found in this respect between preeclamptic and normotensive women without IUGR. In conclusion, we found that placental PSA content is elevated in preeclampsia and negatively correlated with infant birth weight. Further studies will be necessary to define the roles of PSA more precisely and to examine its effects on the pathophysiology of preeclampsia.
2
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Predictive factors for preeclampsia in pregnant women: a unvariate and multivariate logistic regression analysis

80%
Direkvand-Moghadam A., Khosravi A., Sayehmiri K.
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2012
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vol. 59
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issue 4
673-677
EN
Introduction: Several risk factors have been used to predict preeclampsia. The role of some risk factors as predictors associated with preeclampsia among Iranian women was analyzed in the present study using logistic regression. Materials and Methods: 610 women attending the obstetric ward of Mustafa hospital in Ilam were enrolled in this study. Demographic variables such as age, Body Mass Index (BMI), medical and obstetrics variables such as education, number of pregnancy, abortion and parity from May to September 2010 were analyzed. We used the unvaried and multiple logistic regression analyses to predict preeclampsia. Results: The history of preeclampsia, hypertension, and infertility showed to be good independent predicator variables for preeclampsia using multivariate logistic regression analysis (OR was 5.46, 2.34 and 3.07 respectively). Area Under the Receiver Operation Character (AUROC) was estimated to be 0.67 (95% CI 0.59-0.67, p<0.01) indicating the efficacy of the model for the prediction. Conclusion: The history of preeclampsia, hypertension and infertility predict preeclampsia with an increased odds ratio. Using such variables in regression analysis can help to diagnose preeclampsia beforehand and hence allow timely intervention.
3
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The role of biomarkers in early prediction and molecular mechanisms of preeclampsia

80%
Bhaskar Kalarani I., Veerabathiran R., Mohammed V.
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EN
Preeclampsia (PE) is determined as high blood pressure during pregnancy and proteinuria of 300 mg or more in a 24-hour urine sample. PE is a leading cause of maternal death, with about 55000 deaths worldwide each year. Toxic substances that damage the maternal vascular endothelium induced PE, resulting in liver and kidney malfunction. It is crucial for obstetricians to identify as early as possible the patients who are at risk for PE. Familial history of PE, polycystic ovarian disease, sleeping disorders, urinary infections, periodontal disease, smoking, and lifestyle are the major risk factors involved in this disease. VEGF, sFlt1, sENG, PAPP-A, inhibin A and activin A proteins, fetal hemoglobin, heat shock protein and placental protein have been shown to predict or diagnose PE and help in understanding the pathogenesis of PE. In addition, a better understanding of PE pathogenesis would aid in identifying the most effective treatments that do not impair the fetus’ prognosis. The aim of our study is a review of the pathophysiology and biomarkers, such as pro- and anti-angiogenic substances, that may be useful in the detection of PE in the future.
4
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Electronegativity and intrinsic disorder of preeclampsia-related proteins

51%
Polanco C., Castañón-González J., Uversky V., Buhse T., Samaniego Mendoza J., Calva J.
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2017
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vol. 64
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issue 1
99-111
EN
Preeclampsia, hemorrhage, and infection are the leading causes of maternal death in underdeveloped countries. Since several proteins associated with preeclampsia are known, we conducted a computational study which evaluated the commonness and potential functionality of intrinsic disorder of these proteins and also made an attempt to characterize their origin. The origin of the preeclampsia-related proteins was assessed with a supervised technique, a Polarity Index Method (PIM), which evaluates the electronegativity of proteins based solely on their sequence. The commonness of intrinsic disorder was evaluated using several disorder predictors from the PONDR family, the charge-hydropathy plot (CH-plot) and cumulative distribution function (CDF) analyses, and using the MobiDB web-based tool, whereas potential functionality of intrinsic disorder was studied with the D2P2 resource and ANCHOR predictor of disorder-based binding sites, and the STRING tool was used to build the interactivity networks of the preeclampsia-related proteins. Peculiarities of the PIM-derived polar profile of the group of preeclampsia-related proteins were then compared with profiles of a group of lipoproteins, antimicrobial peptides, angiogenesis-related proteins, and the intrinsically disordered proteins. Our results showed a high graphical correlation between preeclampsia proteins, lipoproteins, and the angiogenesis proteins. We also showed that many preeclampsia-related proteins contain numerous functional disordered regions. Therefore, these bioinformatics results led us to assume that the preeclampsia proteins are highly associated with the lipoproteins group, and that some preeclampsia-related proteins contain significant amounts of functional disorders.
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