Endoparasites of Wild Boars (Sus Scrofa) in Primorsky Krai, Russia.

This study identified helminthic species among wild boars (Sus scrofa) in Primorsky Krai, Russia. In total, 66 fecal samples were taken from wild boars and examined using the floatation-sedimentation method to identify helminths eggs and protozoan cysts. Age and sex were estimated for each host animal investigated. The helminthic fauna of the wild boars examined involved six parasite genera, but 4 are helminths and 2 are protozoans: the nematodes Metastrongylus spp., Trichuris suis, Capillaria sp. and Ascaris suum; and the protozoan parasites Eimeria sp. and Cystoisospora suis. The most prevalent parasite was Metastrongylus spp. (13.6 %) followed by Trichuris suis (7.6 %). The other parasites found were Eimeria sp. (3 %), Ascaris suum (3 %), Capillaria sp. (1.5 %) and Cystoisospora suis (1.5 %). Not found positive correlation between the host's age and sex and the parasite prevalence. This was the first detailed study on helminths infections among wild boars in Primorsky Krai.

[The study of cognitive functions and the brain electrical activity in wakefulness and night sleep in patients with lobe tumors]. / Izuchenie kognitivnykh funktsii i organizatsii bioelektricheskoi aktivnosti mozga v bodrstvovanii i vo vremya sna u patsientov s opukholyami lobnoi doli.

OBJECTIVE: To study cognitive dysfunction and brain electrical activity in sleep-wakefulness cycle in patients with frontal lobe tumors. MATERIAL AND METHODS: Twenty patients, aged 48.6±4.2 years, and ten healthy volunteers participated in the study. The first group included patients without cognitive impairment and tumors 8.9±5.1 cm3, the second group included patients with cognitive impairment and tumors 40.7±2.1 cm3. The battery of cognitive impairment tests was used. The EEG of wakefulness and night sleep was recorded. RESULTS: Cognitive impairment in patients with lobe tumors is associated with increases in delta/theta, and areactivity of the cortex in wakefulness, increases in delta/theta/alpha in REM and declining number of arousals in REM. CONCLUSION: The results of the study may be useful in early detection of biomarkers of the cognitive impairment in patients with frontal lobe tumors in order to increase the efficiency of rehabilitation of patients.

[Analysis of phosphatidylcholines alterations in human glioblastoma multiform tissues ex vivo]. / Analiz izmenenii sostava fosfatidilkholinov v glioblastomakh cheloveka ex vivo.

Significant metabolism alteration is accompanying the cell malignization process. Energy metabolism disturbance leads to the activation of de novo synthesis and beta-oxidation processes of lipids and fatty acids in a cancer cell, which becomes an indicator of pathological processes inside the cell. The majority of studies dealing with lipid metabolism alterations in glial tumors are performed using the cell lines in vitro or animal models. However, such conditions do not entirely represent the physiological conditions of cell growth or possible cells natural variability. This work presents the results of the data obtained by applying ambient mass spectrometry to human glioblastoma multiform tissues. By analyzing a relatively large cohort of primary and secondary glioblastoma samples, we identify the alterations in cells lipid composition, which accompanied the development of grade IV brain tumors. We demonstrate that primary glioblastomas, as well as ones developed from astrocytomas, are enriched with mono- and diunsaturated phosphatidylcholines (PC 26:1, 30:2, 32:1, 32:2, 34:1, 34:2). Simultaneously, the saturated and polyunsaturated phosphatidylcholines and phosphatidylethanolamines decrease. These alterations are obviously linked to the availability of the polyunsaturated fatty acids and activation of the de novo lipid synthesis and beta-oxidation pathways under the anaerobic conditions in the tumor core.

The software for interactive evaluation of mass spectra stability and reproducibility.

SUMMARY: Mass spectrometry (MS) methods are widely used for the analysis of biological and medical samples. Recently developed methods, such as DESI, REIMS and NESI allow fast analyses without sample preparation at the cost of higher variability of spectra. In biology and medicine, MS profiles are often used with machine learning (classification, regression, etc.) algorithms and statistical analysis, which are sensitive to outliers and intraclass variability. Here, we present spectra similarity matrix (SSM) Display software, a tool for fast visual outlier detection and variance estimation in mass spectrometric profiles. The tool speeds up the process of manual spectra inspection, improves accuracy and explainability of outlier detection, and decreases the requirements to the operator experience. It was shown that the batch effect could be revealed through SSM analysis and that the SSM calculation can also be used for tuning novel ion sources concerning the quality of obtained mass spectra. AVAILABILITY AND IMPLEMENTATION: Source code, example datasets, binaries and other information are available at https://github.com/EvgenyZhvansky/R_matrix. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

[The role of lipids in the classification of astrocytoma and glioblastoma using MS tumor profiling]. / Rol' lipidov pri klassifikatsii astrotsitomy i glioblastomy pri pomoshchi mass-spektrometricheskogo profilirovaniia opukholei.

Express MS identification of biological tissues has become a much more accessible research method due to the application of direct specimen ionization at atmospheric pressure. In contrast to traditional methods of analysis employing GC-MS methods for determining the molecular composition of the analyzed objects it eliminates the influence of mutual ion suppression. Despite significant progress in the field of direct MS of biological tissues, the question of mass spectrometric profile attribution to a certain type of tissue still remains open. The use of modern machine learning methods and protocols (e.g., "random forests") enables us to trace possible relationships between the components of the sample MS profile and the result of brain tumor tissue classification (astrocytoma or glioblastoma). It has been shown that the most pronounced differences in the mass spectrometric profiles of these tumors are due to their lipid composition. Detection of statistically significant differences in lipid profiles of astrocytoma and glioblastoma may be used to perform an express test during surgery and inform the neurosurgeon what type of malignant tissue he is working with. The ability to accurately determine the boundaries of the neoplastic growth significantly improves the quality of both surgical intervention and postoperative rehabilitation, as well as the duration and quality of life of patients.

Metrics for evaluating the stability and reproducibility of mass spectra.

In this work, we demonstrate a new approach for assessing the stability and reproducibility of mass spectra obtained via ambient ionization methods. This method is suitable for both comparing experiments during which only one mass spectrum is measured and for evaluating the internal homogeneity of mass spectra collected over a period of time. The approach uses Pearson's r coefficient and the cosine measure to compare the spectra. It is based on the visualization of dissimilarities between measurements, thus leading to the analysis of dissimilarity patterns. The cosine measure and correlations are compared to obtain better metrics for spectra homogeneity. The method filters out unreliable scans to prevent the analyzed sample from being wrongly characterized. The applicability of the method is demonstrated on a set of brain tumor samples. The developed method could be employed in neurosurgical applications, where mass spectrometry is used to monitor the intraoperative tumor border.

Unified representation of high- and low-resolution spectra to facilitate application of mass spectrometric techniques in clinical practice.

The majority of research in the biomedical sciences is carried out with the highest resolution accessible to the scientist, but, in the clinic, cost constraints necessitate the use of low-resolution devices. Here, we compare high- and low-resolution direct mass spectrometry profiling data and propose a simple pre-processing technique that makes high-resolution data suitable for the development of classification and regression techniques applicable to low-resolution data, while retaining high accuracy of analysis. This work demonstrates an approach to de-noising spectra to make the same representation for both high- and low-resolution spectra. This approach uses noise threshold detection based on the Tversky index, which compares spectra with different resolutions, and minimizes the percentage of resolution-specific peaks. The presented method provides an avenue for the development of analytical algorithms using high-resolution mass spectrometry data, while applying these algorithms in the clinic using low-resolution mass spectrometers.

[The role of lipid metabolism disorders, atypical isoforms of protein kinase C, and mutational status of cytosolic and mitochondrial forms of isocitrate dehydrogenase in carcinogenesis of glial tumors]. / Rol' narushenii lipidnogo obmena, atipicheskikh izoform proteinkinazy S i mutatsionnogo statusa tsitozol'noi i mitokhondrial'noi form izotsitratdegidrogenazy v kantserogeneze glial'nykh opukholei.

The relationship between molecular genetic and metabolic disorders is one of the challenges of modern oncology. In this review, we consider lipid metabolism and its changes as one of the factors of oncogenesis of glial tumors. Also, we demonstrate that the genome and the metabolome are interconnected by a large number of links, and the metabolic pathways, during their reorganization, are able to drastically affect the genetic structure of the cell and, in particular, cause its tumor transformation. Our own observations and analysis of the literature data allow us to conclude that mass spectrometry is a highly accurate current method for assessing metabolic disorders at the cellular level. The use of mass spectrometry during surgery allows the neurosurgeon to obtain real-time data on the level of specific molecular markers in the resected tissue, thereby bringing intraoperative navigation techniques to the molecular level. The generation of molecular fingerprints for each tumor significantly complements the available neuroimaging, molecular genetic, and immunohistochemical data.

High-resolution mass spectra processing for the identification of different pathological tissue types of brain tumors.

The purpose of the work is to demonstrate the possibilities of identifying the different types of pathological tissue identification directly through tissue mass spectrometry. Glioblastoma parts dissected during neurosurgical operation were investigated. Tumor fragments were investigated by the immunohistochemistry method and were identified as necrotic tissue with necrotized vessels, necrotic tissue with tumor stain, tumor with necrosis (tumor tissue as major), tumor, necrotized tumor (necrotic tissues as major), parts of tumor cells, boundary brain tissue, and brain tissue hyperplasia. The technique of classification of tumor tissues based on mass spectrometric profile data processing is suggested in this paper. Classifiers dividing the researched sample to the corresponding tissue type were created as a result of the processing. Classifiers of necrotic and tumor tissues are shown to yield a combined result when the tissue is heterogeneous and consists of both tumor cells and necrotic tissue.

Label-free study of cosmonaut's urinary proteome changes after long-duration spaceflights.

During the entire time that cosmonauts stay on board the international space station, different extreme space flight factors affect their bodies. In order to find out what physiological changes occur under the influence of spaceflight, different parameters of the human body before and after flights are monitored. Analysis of the urine proteome is one of the most perspective non-invasive methods of condition monitoring. The aim of the study was to perform a comparative semi-quantitative label-free urine proteome analysis of samples collected from 21 cosmonauts before and after long-duration spaceflight at the international space station. For proteomic analysis, urine samples were collected from cosmonauts at three time periods: six months prior to the flight as a background, and on days 1 and 7 of the recovery period after landing. All probes were analyzed by LC-MS/MS, and 256 proteins were identified with more than one unique peptide. The core proteome consists of 50 proteins that are detected in more than 70% of the samples. Label-free semi-quantitative analysis enables us to find 20 proteins which were significantly changed on +1 day and +7 day with respect to background. Most of these proteins participate in the regulation of biological processes, in the regulation of the immune system and in intracellular processes also; some of these proteins are related with stress and response to stimulus. In conclusion, the proteomic analysis of cosmonauts' urine samples provides new data on the human body's adaptation to ground conditions after long-duration spaceflight.

Evaluation of plasma peptides extraction methods by high-resolution mass spectrometry.

Monitoring of peptides offers a promising approach for the discovery of novel biomarkers, which might be valuable for detection, treatment and prevention of large variety of diseases. Development of highly effective methods for plasma peptide extraction remains an important task. In the current study, we applied different types of plasma peptide extraction approaches to reveal efficient methods which would provide the highest peptide yield. We used different combinations of plasma treatment with acetonitrile and/or urea/guanidine, protein precipitation by acetone, gel-filtration, ultrafiltration, and two types of solid phase extraction. The extracted peptides were analyzed by LC-MS/MS. The obtained results suggest that several methods, including differential solubilization, organic precipitation, as well as some variants of ultrafiltration and solid phase extraction, provide effective plasma peptide enrichment convenient for further LC-MS/MS analysis. Alas, most of the identified peptides were extracted by only one of the applied methods. Hence, it seems reasonable to consider several methods to increase the possibility of novel biomarker discovery.

[Secondary Structure of Aß(1-16) Complexes with Zinc: A Study in the Gas Phase Using Deuterium/Hydrogen Exchange and Ultra-High-Resolution Mass Spectrometry].

Complexes of peptide fragment 1-16 of beta-amyloid with transition metals play an important role in the development of a broad class of neurodegenerative diseases, which determines the interest in investigating the structures of these complexes. In this work, we have applied the method of the deuterium/hydrogen exchange in combination with ultra-high-resolution mass spectrometry to study conformational changes in (1-16) beta-amyloid peptide induced by binding of zinc(II) atoms. The efficiency of the deuterium/hydrogen exchange depended on the number of zinc atoms bound to the peptide and on the temperature of the ionization source region. Deuterium/hydrogen exchange reactions have been performed directly in the ionization source. The number of exchanges decreased considerably with an increasing numbers of zinc atoms. The relationship has been described with a damped exponential curve, which indicated that the binding of zinc atoms altered the conformation of the peptide ion by making it less open, which limits the access to inner areas of the molecule.

Exhaled breath condensate analysis from intubated newborns by nano-HPLC coupled to high resolution MS.

Invasiveness of examination and therapy methods is a serious problem for intensive care and nursing of premature infants. Exhaled breath condensate (EBC) is the most attractive biofluid for non-invasive methods development in neonatology for monitoring the status of intubated infants. The aim of the study was to propose an approach for EBC sampling and analysis from mechanically ventilated neonates. EBC collection system with good reproducibility of sampling was demonstrated. Discovery-based proteomic and metabolomic studies were performed using nano-HPLC coupled to high resolution MS. Label-free semi-quantitative data were compared for intubated neonates with congenital pneumonia (12 infants) and left-sided congenital diaphragmatic hernia (12 infants) in order to define disease-specific features. Totally 119 proteins and 164 metabolites were found. A number of proteins and metabolites that can act as potential biomarkers of respiratory diseases were proposed and require further validation.

[Determination of proteomic and metabolic composition of exhaled breath condensate of newborns].

Here, the possibility of proteomic and metabolomic analysis of the composition of exhaled breath condensate of neonates with respiratory support. The developed method allows non-invasive collecting sufficient amount of the material for identification of disease-specific biomarkers. Samples were collected by using a condensing device that was incorporated into the ventilation system. The collected condensate was analyzed by liquid chromatography coupled with high resolution mass spectrometry and tandem mass spectrometry. The isolated substances were identified with a use of databases for proteins and metabolites. As a result, a number of compounds that compose the exhaled breath condensate was determined and can be considered as possible biomarkers of newborn diseases or stage of development.

Studying the Proteomic Composition of Expired Air Condensate in Newborns on Breathing Support.

This study was designed to collect and perform a proteomic analysis of expired air condensate in newborns receiving respiratory support at the Department of Resuscitation and Intensive Care. The proteomic composition of expired air condensate was evaluated in newborns at various stages of development and with different abnormalities.

Proteomic Analysis of the Urine for Diagnostics in Newborns.

Proteomic analysis of the urine was used for noninvasive diagnostics of abnormalities in newborns treated in the neonatal intensive care unit. This approach can be used to differentiate between infectious and noninfectious respiratory disorders.

An untargeted approach for the analysis of the urine peptidome of women with preeclampsia.

Preeclampsia (PE) is a pregnancy complication characterized by high blood pressure and proteinuria. The disorder usually occurs after the 20th week of pregnancy and gets worse over time. PE increases the risk of poor outcomes for both the mother and the baby. In the study we applied LC-MS/MS method for the analysis of the urine peptidome of women with PE. Samples were prepared using size-exclusion chromatography method which gives more than twice peptides identities if compared with solid phase extraction. Thirty urine samples from women with mild and severe preeclampsia and the control group were analyzed. In total 1786 peptides were identified using complementary search engines (Mascot, MaxQuant and PEAKS). A high level of agreement in peptide identification was observed with previously published data. Label-free data comparison resulted in 35 peptides which reliably distinguished a particular PE group (severe or mild) from controls. Our results revealed unique identifications (correlate to alpha-1-antitrypsin, collagen alpha-1(I) chain, collagen alpha-1 (III) chain, and uromodulin, for instance) that can potentially serve as early indicators of PE.

[Proteomic analysis of exhaled breath condensate for diagnosis of pathologies of the respiratory system].

Study of the proteomic composition of exhaled breath condensate (EBC), is a promising non-invasive method for the diagnosis of the respiratory tract diseases in patients. In this study the EBC proteomic composition of the 79 donors, including patients with different pathologies of the respiratory system has been investigated. Cytoskeletal keratins type II (1, 2, 3, 4, 5, 6) and cytoskeletal keratins the type I (9, 10, 14, 15, 16) were invariant for all samples. Analyzing the frequency of occurrence of proteins in different groups of examined patients, several categories of protein have been recognized: found in all pathologies (Dermcidin, Alpha-1-microglobulin, SHROOM3), found in several pathologies (CSTA, LCN1, JUP, PIP, TXN), and specific for a single pathology (PRDX1, Annexin A1/A2). The EBC analysis by HPLC-MS/MS can be used to identify potential protein markers characteristic for pathologies such as chronic obstructive pulmonary disease (PRDX1) and pneumonia (Annexin A1/A2).

[Urine proteome study for the evaluation of age dynamics in healthy men].

We investigated the age dynamics of proteomic profile of urine in 52 healthy men aged 18 to 51 years. A special sample preparation was performed, followed by liquid chromatography-mass spectrometry. Liquid chromatography-mass spectrometry of the minor proteins was performed on a nano-HPLC Agilent 1100 system («Agilent Technologies Inc.¼, USA) in combination with a LTQ-FT Ultra mass spectrometer («Thermo Electron¼, Germany). A total of 259 proteins were identified. According to the TiGER database, a tissue origin was established for 141 proteins and identified 715 processes in which they participate. We found a significant positive correlation with age, the number of proteins (R=0,566; p-value=1,24E-05) and the weight of proteins (R=0,45; p value=8,17E-04). Identified 23 proteins were significantly more frequent in the urine of subjects with increasing age (p<0,05), and only one protein - RGSL, Regulator of G protein signaling protein-like (MW 125.69) - less frequently.

[Permanent proteins in healthy human's urine in the experiment with 520-day isolation].

Purpose of the study was to track permanent proteins of urine proteome in the 520-day isolation experiment at the IBMP Ground-Based Test Facility with controlled environmental parameters. Object of the investigation was urine sampled from 6 normal male subjects at the age of 25 to 37 years. Second morning aliquots were gathered during baseline data collection, on days 50, 93, 124, 153, 180, 251, 274, 303, 330, 371, 400 and 427 of isolation, and in 7 days after its completion. Samples were subject to chromatography-mass spectrometry; results were analyzed with the help of bioinformatics resources. The following 7 permanent proteins were observed in urine over the entire length of the investigation: epidermal growth factor, polymer immunoglobulin receptor, plasma serine protease inhibitor, protein AMBP, keratin, type II cytoskeletal 1, collagen alpha-1 (vi) chain, serum albumin.