[Nutrition and adipose tissue distribution in low cardiovascular risk individuals, depending on the central obesity].

The low cardiovascular risk group according to SCORE in relation to the clinical and laboratory characteristics of patients is very heterogeneous, which leads to the presence of a residual risk of cardiovascular events. This category may include individuals with a family history of cardiovascular disease at a young age, with abdominal obesity (AO), endothelial dysfunction, and high levels of triglyceride-rich lipoproteins. In this regard, an active search is underway for new metabolic markers within the low cardiovascular risk group. The purpose of the study was to compare the nutrition, the adipose tissue distribution in low cardiovascular risk individuals, depending on the AO. Material and methods. The study included 86 healthy low risk (SCORE<1%) patients (mean age 42.6±2 years), who were divided into 2 groups: with AO [waist circumference (WC) >=94 cm in men and >=80 cm in women] - 44 patients (32% of men) and without AO - 42 patients (38% of men). The body composition was carried out using the bioimpedance analyzer. The distribution of ectopic fat deposits in the liver, pancreas and epicardial region was studied using ultrasound methods. A frequency questionnaire (Diet Risk Score) was used to assess nutrition. Results. In low risk patients with AO, signs of unhealthy diet are statistically significantly more common (in 52 in the main group vs 2% in the control group, p<0.01), ectopic deposition of adipose tissue in the liver (53 vs 9%, p<0.001), pancreas (56% in the main group, absent in the control group, p<0.001), epicardia l region (the epicardial fat thickness median is 4.24 mm in the main group vs 2.15 mm in the control group) compared with a control group. Conclusion. The low cardiovascular risk group is very heterogeneous. One of the markers of heterogeneity is central obesity - a marker of unhealthy diet, subclinical ectopic fat deposition and hypertriglyceridemia. Patients with AO of the low cardiovascular risk group require a more thorough examination with the obligatory determination of waist circumference, ultrasound assessment of the liver and pancreas parenchyma, and determination of the epicardial fat thickness. Using a short nutrition questionnaire allows you to quickly identify signs of unhealthy diet and discuss them with the patient.

[Piecewise linear regression model of hemostasis dynamics in donors and patients with schizophrenia]. / Kusochno-lineinaya regressionnaya model' dinamiki gemostaza u donorov i bol'nykh shizofreniei.

OBJECTIVE: This work is to develop and use a new approach to the analysis of differences between the velocity profiles of registered light signals in groups of patients with schizophrenia and healthy donors. MATERIAL AND METHODS: The present study involved 62 patients (all female) with schizophrenia or schizoaffective disorders in the acute period (observational study - 2016-2017). 44 patients were diagnosed with paranoid schizophrenia with an attack-progredient type of course (F20.01 according to ICD-10) or with a continuous type of course (F20.02). The fibrinodynamics test (FD) was performed on the T-2 thrombodynamics device (Hemacore LLC, Moscow), which makes it possible to monitor the processes of coagulation and fibrinolysis in the cuvette channels filled with fresh blood plasma. The result of the test are the brightness profiles of the clot. RESULTS: In the proposed approach, each profile is characterized by a vector of distances between it and other analyzed profiles. At that the distances between the profiles are calculated as the sum of the modules of differences at different points of the observation interval. This method makes it possible to overcome a certain loss of information that occurs when using a standard method based on the calculation of several parameters that characterize the analyzed velocity profiles. The method includes the construction of all kinds of statistically significant piecewise linear regression models that link the distances to two profiles. The velocity profiles corresponding to the points lying on opposite sides of the break point of such models have significantly different shapes. In practice, it turns out that for many piecewise linear regression models, the break points also significantly separate the velocity profiles for the compared groups of donors and patients with schizophrenia. Statistically significant deviations at the level p≤0.01 exist for 16.1% of 3143 statistically significant piecewise linear models. CONCLUSION: The developed method makes it possible to visually establish the relationship between the shape of the velocity profile and the presence of the disease.

[Application of machine learning for predicting the outcome of treatment of patients with schizophrenia according to the indicators of «Thrombodynamics¼ test]. / Primenenie mashinnogo obucheniya dlya prognozirovaniya iskhoda lecheniya bol'nykh shizofreniei po pokazatelyam testa «Trombodinamika¼.

OBJECTIVE: To identify relationships between thrombodynamic values and the severity of the condition in patients with schizophrenia spectrum disorders (SSD) before and after treatment. MATERIAL AND METHODS: The study included 92 patients in an acute state of schizophrenia or schizotypal disorder, aged 16 to 57 years (median age [Q1; Q3] - 25 years). All patients received complex psychopharmacotherapy adequate to their psychopathological state. The PANSS was used to assess the severity of symptoms in patients. The coagulation parameters were determined by the thrombodynamics test, in which the growth of fibrin clots in platelet free plasma are observed from special activator. The patient population was divided into two groups with weak and strong response to treatment. Data analysis included machine learning (ML) techniques: logistic regression, random forests, decision trees, support vector machines with radial basis functions, statistically weighted syndromes, permutation method. RESULTS: An analysis using permutation method revealed statistically significant different thrombodynamics values between groups of patients with weak and strong responses. There are significant differences between thrombodynamics values: T1D, T2D, T2Tlag and DTlag, and values characterizing the severity of positive symptoms before and after treatment (T1PposTot, T2PposTot), severity of psychopathological symptoms before treatment (T1Ppsy1, T1Ppsy6, T1Ppsy13). All ML techniques showed the relationship between thrombodynamics values and response to treatment. The best statistical significance was for statistically weighted syndromes method. CONCLUSION: The combination of the results of different ML techniques at a high level of statistical significance identifies the thrombodynamic predictors of weak effect of treatment of SSD.

Prognostic Model of Prehypertension Risk Based on Molecular Markers.

The prognostic models assessing the risk of prehypertension in coming 1-2-year period for 30-60-year-old subjects were developed with the help of computer recognition technology using 6 recognition methods. These models are based on the content of molecular markers in blood serum and the risk factors for the development of prehypertension in men and women who had "optimal" BP for last 3 years and in patients with newly diagnosed prehypertension. The models were compared for their prediction power. The most effective model was obtained with gradient boosting method based on the content of molecular markers. It is characterized with a high predictive power (ROC AUC=0.76), specificity (96.4%), and overall accuracy (86.6%) accompanied with close relationship between prognosis and actual symptoms of prehypertension (p=0.001).

Serum Level of HLDF24 Peptide as an Objective Marker of Prehypertension.

The concentrations of the key factors of molecular pathogenesis of prehypertension (angiotensin II, HLDF24, S100b, endothelin, autoantibodies to these molecules, and VEGF) were analyzed in subjects with optimal BP (<120/80 mm Hg) and prehypertension (120-139/80-89 mm Hg). Comparative and correlation analysis of the levels of these molecules was performed. A statistically significant decrease in HLDF24 level in prehypertension in comparison optimal BP was observed. Specific features and interactions between the studied factors in optimal BP and in prehypertension were studied. The mechanisms underlying the observed associations between serum concentration of HLFF24 and the development of prehypertension were discussed.

[The influence of enzymatic removal of chlorpyrifos from feed grain-mixture on the biochemical parameters of rat blood]. / Vliianie fermentativnoi obrabotki kormovoi zernosmesi ot khlorpirifosa na biokhimicheskie pokazateli krovi krys.

Organophosphorus pesticides (OP) are used to protect crops from pests. Treatment of plants and animals with pesticides can be done during their growth or creation of conditions necessary for the long-shelf life of the agricultural products. Currently, there are many remedies for prevention and removal of intoxication consequences developed under the action of OP in living organisms. The development of biologics for the degradation of OP and biotechnologies for their application in agriculture is relevant. New biologics based on the stabilized forms of such enzyme as hexahistidine-tagged organophosphorus hydrolase (His6-OPH) in the form of nano-sized particles were tried for OP detoxification. These biologics (enzyme-polyelectrolyte complexes, EPC) were obtained in accordance to previously developed procedure by mixing solutions of His6-OPH and polyanion under certain conditions. The main purpose of this work was to evaluate the usage efficiency of EPC based on His6-OPH and polyglutamic acid for OP detoxification by analyzing biochemical blood parameters of rats consumed the grain-mixture containing chlorpyrifos. The experiment was conducted using female Sprague Dawley albino rats. Treatment of feeding grain-mixture initially containing chlopyrifos (48 mg/kg of the mixture) with EPC based on His6-OPH (1000 U/kg of the mixture) for 24 h was the most effective. The results showed that rats from the group consuming food after enzymatic removal of chlorpyrifos, had comparable acetyl cholinesterase activity in blood of rats consuming pure food (without any OP intoxication).

Production of biofuels from pretreated microalgae biomass by anaerobic fermentation with immobilized Clostridium acetobutylicum cells.

The purpose of this work was to study the possible use of pretreated biomass of various microalgae and cyanobacteria as substrates for acetone-butanol-ethanol (ABE) fermentation by Clostridium acetobutylicum cells immobilized into poly(vinyl alcohol) cryogel. To this end, the biochemical composition of photosynthetic microorganisms cultivated under various conditions was studied. The most efficient technique for pretreating microalgal biomass for its subsequent conversion into biofuels appeared to be thermal decomposition at 108 °C. For the first time the maximum productivity of the ABE fermentation in terms of hydrogen (8.5 mmol/L medium/day) was obtained using pretreated biomass of Nannochloropsis sp. Maximum yields of butanol and ethanol were observed with Arthrospira platensis biomass used as the substrate. Immobilized Clostridium cells were demonstrated to be suitable for multiple reuses (for a minimum of five cycles) in ABE fermentation for producing biofuels from pretreated microalgal biomass.

Prognosis of intravesical bacillus Calmette-Guerin therapy for superficial bladder cancer by immunological urinary measurements: statistically weighted syndrome analysis.

PURPOSE: The goal of this research was to discover new biological indicators in urine which could be used for short-term prognosis of local Bacillus Calmette-Guerin (BCG) therapy outcome in patients with superficial bladder cancer. PATIENTS AND METHODS: We measured and statistically evaluated soluble immunological molecules in urine from bladder cancer patients (n = 34) receiving BCG intravesically. Urine was collected following each of 6 weekly treatments, processed and assayed. The data base included measurements of interleukin-1 (IL-2, IL-4, IL-6, IL-10, IL-12, soluble intercellular adhesion molecule-1 (sICAM-1), tumour necrosis factor-alpha (TNF alpha), soluble CD14 (sCD14), interferon-gamma (IFN gamma), GM-CSF, volume of urine and its pH. The clinical response was evaluated by urine histology and random quadrant biopsy 3 months after the start of therapy. Patients were divided into 2 groups, with good and poor therapeutic effect. The initial complete response rate was 62% (21/34). The data base was analyzed using traditional multivariate statistical methods and a pattern recognition method which deals with combinatorial-statistical analysis (statistically weighted syndromes (SWS) method) of the gradated features. The SWS method is capable of identifying robust patterns in small "fuzzy" sets with high dimensional objects and some missing values. RESULTS: Only one parameter gave significant differences at p < 0.05, GM-CSF at instillation 6. Repeated measurement analysis of variance, backward stepwise multiple logistic regression and linear discriminant analysis failed to show any significance. However, significant differences in the structure of correlation between features in the groups with and without therapeutic effect were observed and four highly informative variables (the masses of sICAM-1, TNF alpha, sCD14 and pH) relating to 5th-6th installations were selected by SWS. These features provided accurate individual prediction of therapeutic outcome for all our patients. Cross-validation analysis and computer simulation showed the statistically significant stability of the prediction. CONCLUSION: We have selected a set of urinary variables that could be considered as a perspective combination of indicators (syndromes) of outcome of pre-operation BCG therapy of patients with superficial bladder cancer. A larger patient database will provide testing and evaluation of the biological and clinical significance of selected features. The computational syndrome-disease approach should be applicable for the solution of decision-making problems for management of cancer.