34 research outputs found

    A Method for Assessing the Retention of Trace Elements in Human Body Using Neural Network Technology

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    © 2017 Yulia Tunakova et al. Models that describe the trace element status formation in the human organism are essential for a correction of micromineral (trace elements) deficiency. A direct trace element retention assessment in the body is difficult due to the many internal mechanisms. The trace element retention is determined by the amount and the ratio of incoming and excreted substance. So, the concentration of trace elements in drinking water characterizes the intake, whereas the element concentration in urine characterizes the excretion. This system can be interpreted as three interrelated elements that are in equilibrium. Since many relationships in the system are not known, the use of standard mathematical models is difficult. The artificial neural network use is suitable for constructing a model in the best way because it can take into account all dependencies in the system implicitly and process inaccurate and incomplete data. We created several neural network models to describe the retentions of trace elements in the human body. On the model basis, we can calculate the microelement levels in the body, knowing the trace element levels in drinking water and urine. These results can be used in health care to provide the population with safe drinking water

    Autoimmune gastritis: comorbid pathology in type 1 diabetes

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    In recent years noted an increased number of patients with autoimmune diseases (AID), and the special attention deserves combination of several autoimmune pathologies collected in one patient, because such patients requires special tactics of management. Autoimmune diseases of the gastrointestinal tract are less researched and, nevertheless, prognostically unfavorable. Autoimmune gastritis (AIG) has a special place in other stomach diseases, which develops in the aggregate with type 1 diabetes. AIG is a chronic inflammation of the mucous membrane of the body of the stomach, leading to the appearance of atrophy and hypoxecretion. AIG is found in 510% of individuals in general population, with a higher incidence of AIG in patients with diabetes and other established autoimmune pathology. AIG is asymptomatic at the early stage of the disease and clinical manifestations appear after the atrophic changes in the mucous membrane of the stomach develop. Since autoimmune gastritis does not have pathognomonic signs, it can manifest itself in hematological and oncological complications at later stages. This is why screening, early diagnosis, prevention and treatment are very important. Early diagnosis and prevention of AIG and its complications play the main role. This article provides an overview of the worldwide data dedicated to this issue

    A clinical case of exocrine pancreatic insufficiency in a patient with type 1 diabetes mellitus

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    The pancreas belongs to the glands of mixed secretion and simultaneously performs both endo- and exocrine functions. Exocrine pancreatic insufficiency (EPI) is the general name for the malabsorption process caused by inadequate production and decreased activation of the enzymes of the pancreas acinar cells, such as amylase, lipase and protease, which are necessary for digestion. The prevalence of EPI in patients with type 1 diabetes, according to many authors, varies from 25 to 59%, which is determine by the data of pancreatic elastase-1. In this work, we present a clinical case of confirmed exocrine pancreatic insufficiency in a patient with a 6-year history of type 1 diabetes, which became the main cause of the development of episodes of hypoglycemia after meals. In the course of further studies, antibodies to lactoferrin and a reduced prostate volume, determined by MRI data, high levels of antibodies to glutamate decarboxylase and zinc co-transporter 8, as well as residual insulin secretion based on the level of C-peptide on an empty stomach detected

    Slowly evolving, immune-mediated diabetes in 14-year-old patient: a case report

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    Slowly developing immune-mediated diabetes, often called latent autoimmune diabetes in adults, is characterized by the presence of autoantibodies (ATs) to glutamic acid decarboxylase (GADA), the patient's age at the onset over 35 years, and the absence of the need for insulin therapy for 6-12 months to 6 years from the moment of diagnosis, according to the WHO classification of 2019, refers to hybrid forms of diabetes mellitus (DM). In this article, we present a case history of slowly developing immune-mediated diabetes in a 14-year-old boy who was transferred from metformin monotherapy and a diet with restriction of digestible carbohydrates to the intensified insulin therapy only 4 years after the onset of diabetes mellitus with a glycated hemoglobin (HbA1c) level of less than 6.5% throughout the disease. As a result of the studies, the patient was found to have a homozygous genotype highly predisposing to the development of Type 1 Diabetes Mellitus (T1DM), as well as increased levels of ATs to GADA and tyrosine phosphatase (IA-2A). The initially preserved level of basal C-peptide and the clinical course of the disease in this patient do not allow us to classify this case as a classic variant of the course of Type 1 Diabetes Mellitus

    Long-term β-cells autoimmune destruction markers persistence and residual C-peptide secretion in type 1 diabetes mellitus

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    Backgraund: It believed that autoimmune process maintained only during the first 5 years of diabetes mellitus type 1 (T1D). Recently scientists discovered the high levels of islet autoantibodies (Ab) in long-standing T1D and some of these patients had residual insulin secretion, determined by the level of C-peptide. According to various sources, the prevalence of such observations ranges from 12 to 48%.Aims: The aim of our study was to assess the duration of autoimmune β-cells destruction markers persistence and residual fasting C-peptide secretion in the long-standing T1D, as well as to determine the possible causes and patterns of these processes.Materials and methods: In the study included 237 patients (91 men, 146 women) with T1D. Patients divided in 4 groups, according to disease duration: а — up to 1 year, n=69 (29%); b — 1–5 years, 52 (22%); c — 5–10 years, 57 (24%); d — more than 10 years, 59 (25%). Ab to glutamic acid decarboxylase (GADA), tyrosine phosphatase-like IA-2 (IA2) and zinc T8 (ZnT8A) were detected by Enzyme Immunoassay. Also detected C-peptide levels and retrospectively HbA1с.Results: Antibodies to antigens of β-cell components were detected in 26 (37%) patients in group A, in 17 patients (33%) in group B, in 15 (29%) in group C and in 14 (23%) — G.In the control group (n = 19), an increased level of antibodies was not revealed. Fasting C-peptide levels were as follows: in group «A» — 0.86 ng / ml [0.53; 1.4], «B» — 0.65 ng / ml [0.27; 0.98], « B «- 0.19 ng / ml [0.17; 0.33],» D «- 0.01 ng / ml [0.01; 0.01]. However, in 13 (22%) patients in group D, fasting C-peptide levels were more than 0.09 ng / ml.Conclusion: The data obtained indicate a long-term persistence of markers of the autoimmune process in patients with T1DM. In groups with a long (more than 5 years) course of T1DM, levels of fasting C-peptide more than 30 pmol/L (0.09 ng / ml or 0.03 nmol / L) were noted in 39 (33.6%) cases

    A Method for Assessing the Retention of Trace Elements in Human Body Using Neural Network Technology

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    © 2017 Yulia Tunakova et al. Models that describe the trace element status formation in the human organism are essential for a correction of micromineral (trace elements) deficiency. A direct trace element retention assessment in the body is difficult due to the many internal mechanisms. The trace element retention is determined by the amount and the ratio of incoming and excreted substance. So, the concentration of trace elements in drinking water characterizes the intake, whereas the element concentration in urine characterizes the excretion. This system can be interpreted as three interrelated elements that are in equilibrium. Since many relationships in the system are not known, the use of standard mathematical models is difficult. The artificial neural network use is suitable for constructing a model in the best way because it can take into account all dependencies in the system implicitly and process inaccurate and incomplete data. We created several neural network models to describe the retentions of trace elements in the human body. On the model basis, we can calculate the microelement levels in the body, knowing the trace element levels in drinking water and urine. These results can be used in health care to provide the population with safe drinking water

    Simultaneous laparoscopic liver resection: a single-center experience

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    Background: About 15 to 25%  of colorectal cancer patients have synchronous liver metastasis at diagnosis. In the recent years, the strategy of simultaneous removal of colorectal cancer and liver metastases has been preferred. Development of minimally invasive technologies in abdominal and hepatopancreatobiliary surgery allows for active advance to fully laparoscopic approach to these types of interventions.Aim: Comparative analysis of simultaneous and isolated laparoscopic liver resections performed in the Department of Surgery, Russian Research Center of Roentgenoradiology (Moscow).Materials and methods: We have analyzed intra- and postoperative results of 29 laparoscopic procedures for metastatic liver disease. Group 1 included 14 patients who had undergone simultaneous laparoscopic primary tumor resection and laparoscopic liver resection for metastatic disease. Group 2 included 15 patients who had undergone isolated laparoscopic liver resection for metastatic lesions.Results: Mean (± SD) blood loss in the simultaneous and isolated procedures groups was 469 ± 176 and 408 ± 124  mL, respectively (p = 0.2), whereas the duration of surgeries was 296 ± 107  and 204 ± 82  min, respectively (p = 0.01). Conversion rate in the isolated resection group was higher (26% vs. 14%). This difference is to be explained by the learning curve in laparoscopic liver surgery. All liver resections in both groups were carried out in R0 mode. No deaths and significant complications were seen in any of the groups.Conclusion: The study demonstrated feasibility and safety of simultaneous, fully laparoscopic liver resections, including those for difficult localization of primary tumors and metastatic lesions
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