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Recurrent reproductive loss (RPL) is a global health issue affecting a significant number of women. Approximately half of miscarriages have an unexplained etiology. Familial aggregation and twins studies prove that some cases of the RPL could have a genetic background. Recent evidences suggest that cytokines (e.g. IL-6, TNF alpha or TGF beta) and matrix metalloproteinases (MMP) are important for maintenance of pregnancy. https://www.selleckchem.com/products/hth-01-015.html Single gene polymorphisms (SNP), affecting these proteins production or their function may predispose to the loss of the pregnancy. The aim of this study was to evaluate the association between the following polymorphisms of IL6 (rs1800795), TNF (rs1800629), TGFB1 (rs1800471), MMP1 (rs1799750), MMP2 (rs2285053 and rs243865), MMP3 (rs35068180), MMP9 (rs3918242) and the recurrent pregnancy loss in polish population.

Study subjects comprised of 67 patients with a history of recurrent pregnancy loss (≥ 2 miscarriages in history) and 75 controls. The distribution of genotypes for selected polymorphisms were determined by RFLP-PCR.

Maternal genotypes GG TNF, or 5A/5A MMP3 may be associated with the recurrent pregnancy loss. No association between the IL6, TGFB1, MMP1, MMP2, or MMP9 studied polymorphisms and the predisposition to miscarriage was found.

This study demonstrated a possible association between rs1800629 TNF, rs35068180 MMP3 polymorphisms and recurrent pregnancy loss.

This study demonstrated a possible association between rs1800629 TNF, rs35068180 MMP3 polymorphisms and recurrent pregnancy loss.

Proper infant classification, particularly a preterm infant, as small or large for gestational age, is crucial to undertake activities to improve postnatal outcomes. This study aimed to assess the usability of the Fenton preterm growth charts to evaluate the anthropometric parameters of Polish preterm neonates.

In this single-center, retrospective study data extracted from the medical documentation of preterm neonates born 2002-2013 were analyzed. Body weight, body length, and head circumference were evaluated and used to develop growth charts, which were compared with the reference Fenton growth charts.

This study included 3,205 preterm neonates, of whom 937 were born before 30 weeks of pregnancy. Overall, 11.04%, 3.3%, and 5.2% of neonates were below the 10th percentile on the Fenton charts for birth weight, body length, and head circumference, respectively. Only 26 (6.67%) of 390 analyzed anthropological parameters differed significantly between the study and the Fenton groups. Statistically significant differences between the study and the Fenton populations were found only in body length for both sexes, and in head circumference for female neonates.

The growth charts developed in this study for a population of Polish preterm neonates corresponded to the Fenton charts in terms of birth weight but differed in terms of body length and head circumference. Our findings suggest the need to evaluate growth charts for Polish preterm newborns.

The growth charts developed in this study for a population of Polish preterm neonates corresponded to the Fenton charts in terms of birth weight but differed in terms of body length and head circumference. Our findings suggest the need to evaluate growth charts for Polish preterm newborns.

HIV (Human Immunodeficiency Virus) that ultimately determines the development of AIDS evolved in time in a pandemic disease. Our study evaluated first trimester markers for aneuploidy, serum progesterone levels in first and second trimester in HIV positive pregnant women under HAART therapy.

It was a prospective study that took place between January 2017- December 2019 in "Cuza-Vodă" Hospital from Romania. We analysed first trimester PAPP-A, βHCG, first and second trimester progesterone of 25 HIV positive pregnant women under HAART therapy and compared them with seronegative pregnant women.

Both βHCG and first and second trimester progesterone were lower in HIV positive women under HAART therapy.

These alterations of first trimester markers for aneuploidy might lead to an over estimation of the risk for Down syndrome.

Obstetricians need to know the alterations of first trimester markers for aneuploidy so they can correctly advise these women accordingly.

Obstetricians need to know the alterations of first trimester markers for aneuploidy so they can correctly advise these women accordingly.

During pregnancy, two aspects are critical in the context of adverse perinatal outcomes (APO) preconception obesity and gestational weight gain. This study aimed to assess compliance with the 2009 IOM guidelines, compare GWG with and without correcting for gestation duration, and observe the relationship between pre-pregnancy BMI and GWG and neonatal birth weight.

This is a cross-sectional study conducted from 2015-2018 at the St. Sophia's Specialist Hospital in Warsaw, Poland. Self-reported pre-pregnancy and predelivery weight were collected.

The presented data set amounts to 7820 records. Analysis of weight gain compliance with IOM recommendations showed that only 41-44% (depending on the calculation method) of women had weight gain in accordance with IOM guidelines (22-23% - below; 33-37% - above). Overweight and obese women with diabetes are more likely to comply with IOM than women without diabetes. In contrast, women with normal-weight and underweight with diabetes are less likely to achieve IOM weight gain in pregnancy than women without diabetes. Women who have GWG below recommendations significantly more often gave birth to SGA neonates, and women who exceeded GWG standards significantly more often gave birth to LGA neonates.

Less than half of women had GWG within the recommended norms. Statistically significant differences were found in methods of calculation of GWG, but it was not found clinically significant. Correction for pregnancy duration when calculating GWG reclassifies two percent of patients. We underestimate the risk of crossing the line between overweight and obesity during pregnancy.

Less than half of women had GWG within the recommended norms. Statistically significant differences were found in methods of calculation of GWG, but it was not found clinically significant. Correction for pregnancy duration when calculating GWG reclassifies two percent of patients. We underestimate the risk of crossing the line between overweight and obesity during pregnancy.

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