Publications by authors named "P Kuc"
Blackgrass (Alopecurus myosuroides Huds.), one of the most aggressive grass weeds in Europe, is also a strong competitor of crops. This study aimed to assess the impact of environmental conditions on the competition between (1) ACC-ase and ALS herbicide-resistant (BR) and herbicide-susceptible (BS) blackgrass biotypes, (2) BR and winter wheat cv.
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- The study aimed to analyze the maternal plasma metabolome in cases of spontaneous preterm birth, comparing it to cases of threatened preterm labor and term delivery.
- A total of 168 metabolites were identified as significantly different between the groups, with 51 metabolites categorized into amino acids, fatty acids, lipids, hormones, and bile acids.
- The findings suggest that maternal plasma metabolites can distinguish between preterm and term deliveries, indicating their potential as biomarkers for identifying high-risk pregnancies and guiding future research.
Identification of preterm birth based on RQA analysis of electrohysterograms.
Comput Methods Programs Biomed
January 2018
Background And Objective: Common methods for data analysis are mainly based on linear concepts, but in recent years nonlinear dynamics methods have been introduced. It is a well-known fact that In typical biological systems lack of stationarity and rather sudden changes of state are the properties distinguishing them from each other. There is an urgent need to better understand the mechanical activity of the myometrium (its contractility) to find a solution for preterm delivery problem, the largest cause of neonatal deaths and morbidity.
View Article and Find Full Text PDFIntroduction: The aim of this study was to analyse a panel of 60 angiogenic factors (pro-angiogenic and antiangiogenic) in the plasma of women with mild preeclampsia.
Materials And Methods: We recruited 21 women between 25 and 40 weeks gestation with diagnosed mild preeclampsia into the study group and 27 healthy women with uncomplicated pregnancies of corresponding gestational age to that of the study to the control group. We used a quantitative protein macroarray method that allowed for analysis of 60 angiogenic proteins per sample simultaneously.
Purpose: Since angiogenesis plays an important role in the pathogenesis of ovarian cancer the aim of the study was to compare the expression of the most relevant angiogenesis-related genes in serous ovarian cancer samples. Genes were divided into 5 subgroups according to their angiogenic potential: growth factors and their receptors; cytokines/chemokines; adhesion molecules and other matrix related proteins; transcriptions factors and signaling molecules; morphogenic factors, and angiogenesis inhibitors.
Materials/methods: Twenty-nine patients were involved in the study: 20 with serous ovarian cancer and 9 healthy controls.