Prognostic aspects evaluating professional risk of workers' health (by the example of OJSC "Ivatsevichdrev")

The article dissects the techniques for occupational risk assessment, oj workers health. The aufhor considers danger indentijication, occupational risk assessment, order of risk arrangements decnease its reoliration. Risk assessment represents much deeper investigation process of all possible dangerous and harmful factors oj manufacturing and occupational process. This process lights the situations in which these factors can badly affect the worker?s health and determines the severity of this effect

THE EFFECT OF DEXAMETHASONE ON IL-33-MEDIATED MAST CELL ACTIVATION

Dexamethasone has been shown to inhibit IgE-mediated mast cell activation, and the present research investigated its role in suppressing IL-33-mediated mast cell activation. We have found that micromolar concentrations of Dexamethasone are capable of suppressing IL-33-mediated mast cell cytokine production, on several genetic backgrounds, and in not only bone marrow derived mast cells, but also peritoneal mast cells. Intracellular staining demonstrated that Dexamethasone significantly reduces expression of the IL-33 receptor, T1/ST2, in mast cells; however, the cytokine suppression is independent of T1/ST2 downregulation. At the same time, Dexamethasone pretreatment significantly reduced ERK phosphorylation, but our data suggests that inhibition occurs even prior to ERK blockade. Finally, Dexamethasone treatment in vivo reduced IL-33-mediated cytokine production and neutrophil infiltration in the murine peritoneum. Thus, Dexamethasone, a well-established therapy for inflammatory disease, can suppress IL-33-mediated mast cell activation, and may therefore be effective for treating diseases now being attributed to IL-33 effects

The use of intranasal glucocorticosteroids in patients with chronic rhinosinusitis in the preoperative period

Introduction. Chronic rhinosinusitis is a disease that occurs everywhere, characterized by inflammation of the mucous membrane of the paranasal sinuses and nasal cavity. If it is impossible to eliminate the causes of the recurrent disease with medical therapy, the use of surgical treatment help to recover the normal functioning of the ostium, including the ostiomeatal complex to improve ventilation and drainage of the paranasal sinuses and recover nasal breathing to relieve chronic inflammation.Purpose of the study. Assessment of the degree of intraoperative bleeding in patients with chronic rhinosinusitis.Materials and methods. On the basis of the FGBU SPB Research Institute of ENT of the Ministry of Health of the Russian Federation in the period from 2020 to 2021. the study of the effect of local intranasal glucocorticosteroids (INGKS) in the intraoperative period in patients with chronic polypous rhinosinusitis was carried out. The total amount of blood loss during surgery for chronic polypous rhinosinusitis in patients who used mometasone furoate preoperatively and in patients not taking topical hormonal drugs was analyzed.Results. In the study group, the average blood loss per operation was 257 ml, in the control group – 401 ml. In patients who took intranasal glucocorticosteroids during surgery, the intensity of bleeding is less pronounced. Undoubtedly, there are many reasons that affect the intensity of bleeding in general, however, a decrease in the inflammatory response in the nasal cavity and a decrease in inflammatory metabolites have a beneficial effect on the state of the nasal mucosa.Conclusion. The use of intranasal glucocorticosteroids in the preoperative period has a positive effect on reducing the inflammatory process in the nasal cavity, which helps to reduce the intensity of intraoperative bleeding

A Statistically Rigorous Test for the Identification of Parent−Fragment Pairs in LC-MS Datasets

Untargeted global metabolic profiling by liquid chromato-graphy−mass spectrometry generates numerous signals that are due to unknown compounds and whose identification forms an important challenge. The analysis of metabolite fragmentation patterns, following collision-induced dissociation, provides a valuable tool for identification, but can be severely impeded by close chromatographic coelution of distinct metabolites. We propose a new algorithm for identifying related parent−fragment pairs and for distinguishing these from signals due to unrelated compounds. Unlike existing methods, our approach addresses the problem by means of a hypothesis test that is based on the distribution of the recorded ion counts, and thereby provides a statistically rigorous measure of the uncertainty involved in the classification problem. Because of technological constraints, the test is of primary use at low and intermediate ion counts, above which detector saturation causes substantial bias to the recorded ion count. The validity of the test is demonstrated through its application to pairs of coeluting isotopologues and to known parent−fragment pairs, which results in test statistics consistent with the null distribution. The performance of the test is compared with a commonly used Pearson correlation approach and found to be considerably better (e.g., false positive rate of 6.25%, compared with a value of 50% for the correlation for perfectly coeluting ions). Because the algorithm may be used for the analysis of high-mass compounds in addition to metabolic data, we expect it to facilitate the analysis of fragmentation patterns for a wide range of analytical problems

Prospects for a Statistical Theory of LC/TOFMS Data

The critical importance of employing sound statistical arguments when seeking to draw inferences from inexact measurements is well-established throughout the sciences. Yet fundamental statistical methods such as hypothesis testing can currently be applied to only a small subset of the data analytical problems encountered in LC/MS experiments. The means of inference that are more generally employed are based on a variety of heuristic techniques and a largely qualitative understanding of their behavior. In this article, we attempt to move towards a more formalized approach to the analysis of LC/TOFMS data by establishing some of the core concepts required for a detailed mathematical description of the data. Using arguments that are based on the fundamental workings of the instrument, we derive and validate a probability distribution that approximates that of the empirically obtained data and on the basis of which formal statistical tests can be constructed. Unlike many existing statistical models for MS data, the one presented here aims for rigor rather than generality. Consequently, the model is closely tailored to a particular type of TOF mass spectrometer although the general approach carries over to other instrument designs. Looking ahead, we argue that further improvements in our ability to characterize the data mathematically could enable us to address a wide range of data analytical problems in a statistically rigorous manner

LipidXplorer: A Software for Consensual Cross-Platform Lipidomics

LipidXplorer is the open source software that supports the quantitative characterization of complex lipidomes by interpreting large datasets of shotgun mass spectra. LipidXplorer processes spectra acquired on any type of tandem mass spectrometers; it identifies and quantifies molecular species of any ionizable lipid class by considering any known or assumed molecular fragmentation pathway independently of any resource of reference mass spectra. It also supports any shotgun profiling routine, from high throughput top-down screening for molecular diagnostic and biomarker discovery to the targeted absolute quantification of low abundant lipid species. Full documentation on installation and operation of LipidXplorer, including tutorial, collection of spectra interpretation scripts, FAQ and user forum are available through the wiki site at: https://wiki.mpi-cbg.de/wiki/lipidx/index.php/Main_Page

Modular Mass Spectrometric Tool for Analysis of Composition and Phosphorylation of Protein Complexes

The combination of high accuracy, sensitivity and speed of single and multiple-stage mass spectrometric analyses enables the collection of comprehensive sets of data containing detailed information about complex biological samples. To achieve these properties, we combined two high-performance matrix-assisted laser desorption ionization mass analyzers in one modular mass spectrometric tool, and applied this tool for dissecting the composition and post-translational modifications of protein complexes. As an example of this approach, we here present studies of the Saccharomyces cerevisiae anaphase-promoting complexes (APC) and elucidation of phosphorylation sites on its components. In general, the modular concept we describe could be useful for assembling mass spectrometers operating with both matrix-assisted laser desorption ionization (MALDI) and electrospray ionization (ESI) ion sources into powerful mass spectrometric tools for the comprehensive analysis of complex biological samples