Effect of COVID-19 on Pregnancy and Neonate's Vital Parameters: A Systematic Review.

Background: COVID-19 is a new pandemic, which was declared by the World Health Organization in 2019 as a threat to public health. According to numerous reports, it can have negative consequences for pregnant women, labour, and neonates born to infected mothers. The aim of this paper was to gather the evidence and to present a summary of the results of studies concerning COVID-19 in pregnant women and their neonates. Methods: Articles from prestigious journals covering the period from 2020 to February 2023, relevant review papers, and original research articles from PubMed were analysed. In order to analyse the available research literature, the Web of Science, Scopus, and PubMed databases were used, in which the search for articles was conducted using terms ("pregnancy," "coronavirus," "SARS-CoV-2," and "newborn") and using PRISMA (Preferred Reporting Items for Systemic Reviews and Meta-Analysis) guidelines for clinical trials. Meta-analyses and systematic reviews (2022-2023) on symptoms, neonatal course, and risk of COVID-19 infection have been summarized. Summary of meta-analyses and systematic reviews (2022-2023) on the effect and adverse reaction of the COVID-19 vaccination is presented. Results: As a result of the research conducted, it was confirmed that in most pregnant women, no serious signs of the infection were observed, although isolated cases of death related to COVID-19 in pregnant women were reported. Several authors called attention to the more severe course of the infection in pregnant women with obesity. It seemed that no vertical transmission from mother to child was occurring. Nevertheless, the information was not clinching. The condition of the neonates born to mothers with COVID-19 was in most cases described as normal; however, some papers reported deaths of infected neonates. Conclusions: Due to insufficient data, further research is necessary. Further studies and follow-up are recommended, which would make possible an assessment of remote effects of COVID-19 on pregnancy and vital parameters of the newborn.

Gel electrophoretic separation of proteins from cultured neuroendocrine tumor cell lines.

Neuroendocrine tumors (NET) often develop asymptomatically and are detected at a late stage. Currently, there exist certain markers of NET that occur only in the advanced stages of the disease. Still, there is need to develop markers specific of the early stage of cancer development. Nevertheless, biomarkers are mostly low­abundant proteins and require separation from complex protein mixtures, which remains a major challenge. The goal of the present study was to optimize one­dimensional­polyacrylamide gel electrophoresis (1D­PAGE) for separation and comparison of protein composition from neuroendocrine tumor samples. 1D­PAGE was optimized by modification of the gel concentration and by comparison of different gel staining protocols. In addition, several steps prior to electrophoresis were carried out to purify and preliminarily reduce the complexity of the sample. The results of these optimization steps indicated that use of an albumin removal kit can considerably decrease the amount of albumin in the samples, thereby allowing to detect proteins of low abundance. Optimal separation of the sample was obtained using a 12% polyacrylamide gel. Furthermore, the use of silver staining allowed detection of proteins at nanogram levels, whereas for Coomassie Brilliant Blue staining, the detection limit was 10 times higher. Optimization of the sample preparation workflow and parameters of the electrophoretic separation allowed to reduce the complexity of the studied material and facilitated further identification of proteins of low abundance in the sample. This study demonstrated that analysis of the secreted proteome of NET cells by 1D­PAGE is a simple and suitable tool for the identification of potential NET protein biomarkers.

Chemometric evaluation of urinary steroid hormone levels as potential biomarkers of neuroendocrine tumors.

Neuroendocrine tumors (NETs) are uncommon tumors which can secrete specific hormone products such as peptides, biogenic amines and hormones. So far, the diagnosis of NETs has been difficult because most NET markers are not specific for a given tumor and none of the NET markers can be used to fulfil the criteria of high specificity and high sensitivity for the screening procedure. However, by combining the measurements of different NET markers, they become highly sensitive and specific diagnostic tests. The aim of the work was to identify whether urinary steroid hormones can be identified as potential new biomarkers of NETs, which could be used as prognostic and clinical course monitoring factors. Thus, a rapid and sensitive reversed-phase high-performance liquid chromatographic method (RP-HPLC) with UV detection has been developed for the determination of cortisol, cortisone, corticosterone, testosterone, epitestosterone and progesterone in human urine. The method has been validated for accuracy, precision, selectivity, linearity, recovery and stability. The limits of detection and quantification were 0.5 and 1 ng mL-1 for each steroid hormone, respectively. Linearity was confirmed within a range of 1-300 ng mL-1 with a correlation coefficient greater than 0.9995 for all analytes. The described method was successfully applied for the quantification of six endogenous steroid levels in human urine. Studies were performed on 20 healthy volunteers and 19 patients with NETs. Next, for better understanding of tumor biology in NETs and for checking whether steroid hormones can be used as potential biomarkers of NETs, a chemometric analysis of urinary steroid hormone levels in both data sets was performed.