COLONIC MICROBIOTA AND CHRONIC KIDNEY DISEASES INTESTINAL MICROBIOTA AND CHRONIC KIDNEY DISEASE. PART II

2019 ◽  
Vol 23 (1) ◽  
pp. 18-31 ◽  
Author(s):  
B. G. Lukichev ◽  
A. Sh. Rumyantsev ◽  
I. Yu. Panina ◽  
V. Akimenko
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Intestinal Microbiota ◽  
Kidney Diseases ◽  
Biologically Active ◽  
Chronic Kidney Diseases ◽  
Mechanical Removal ◽  
Starting Point ◽  
Active Substances

Interest in studying the role of the gastrointestinal tract in maintaining homeostasis in chronic kidney disease is a traditional one. It served, in particular, as a starting point for the creation of enterosorbents. However, if earlier the main attention was paid to the mechanical removal of a number of potentially dangerous biologically active substances, recently an intestinal microbiota has become an object of interest. The first part of the review of the literature on this topic is devoted to questions of terminology, the normal physiology of the colon microbiota. A detailed description of dysbiosis is given. The features of the main groups of microorganisms are reflected. The hypothetical and confirmed interrelations of the intestine-kidney axis are presented. The pathogenetic mechanisms of the influence of colon dysbiosis on the processes of local and systemic inflammation are discussed. The influence of dysbiosis on the state of the kidney parenchyma and its participation in the progression of CKD are debated.

COLONIC MICROBIOTA AND CHRONIC KIDNEY DISEASE. MESSAGE ONE

2018 ◽  
Vol 22 (4) ◽  
pp. 57-73 ◽  
Author(s):  
B. G. Lukichev ◽  
A. Sh. Rumyantsev ◽  
V. Akimenko
Keyword(s):  
Chronic Kidney Disease ◽  
Gastrointestinal Tract ◽  
Kidney Disease ◽  
Literature Review ◽  
Biologically Active ◽  
Main Attention ◽  
Mechanical Removal ◽  
Starting Point ◽  
Active Substances

Interest in studying the role of the gastrointestinal tract in maintaining homeostasis in chronic kidney disease is a traditional one. It served, in particular, as a starting point for the  creation of enterosorbents. However, if earlier the main attention  was paid to the mechanical removal of a number of potentially  dangerous biologically active substances, recently an intestinal  microbiota has become an object of interest. The first part of the  literature review on this topic is devoted to questions of terminology, the normal physiology of the colon microbiota. A  detailed description of dysbiosis is given. The features of the main  groups of microorganisms are reflected. The hypothetical and  confirmed interrelations of the intestine-kidney axis are presented.  The pathogenetic mechanisms of the colon dysbiosis influence on the processes of local and systemic inflammation are discussed. The  influence of dysbiosis on the state of the kidney parenchyma and its  participation in the progression of CKD are debated.

scholarly journals The role of metabolic acidosis in chronic kidney diseases

2010 ◽  
Vol 4 (3) ◽  
pp. 367-372
Author(s):  
James C. M. Chan
Keyword(s):  
Chronic Kidney Disease ◽  
Metabolic Acidosis ◽  
Kidney Disease ◽  
Kidney Diseases ◽  
Original Research ◽  
Due Diligence ◽  
Acid Base ◽  
Chronic Kidney Diseases ◽  
Balance Development

Abstract Background and objectives: This review focuses on three areas, basic acid-base physiology especially concerning hydrogen ion balance, development of acidosis in chronic kidney disease (CKD), and the consequences of acidosis. We highlight what is well established, what is less certain, and what is unknown. Method and results: The literature on acidosis in CKD were searched from 2004 to 2010 utilizing PubMed, Google Scholar, and Ovid to augment the classic work on acid base physiology over the past three decades. The original research in endogenous acid production and net acid excretion were reviewed. Touching upon the development of metabolic acidosis in CKD, we focused on the consequences of chronic metabolic acidosis on growth and other important variables. Finally, we recognize the significant issue of patients’ medical non-compliance and presented treatment strategy to counter this problem. Conclusion: The correction of acidosis in chronic kidney disease needs no advocacy. The case is made conclusively. Patient non-compliance because of the medication that needs to be taken several times a day is a problem, requiring due diligence.

scholarly journals Mechanisms by Which Dehydration May Lead to Chronic Kidney Disease

2015 ◽  
Vol 66 (Suppl. 3) ◽  
pp. 10-13 ◽  
Author(s):  
C. Roncal-Jimenez ◽  
M.A. Lanaspa ◽  
T. Jensen ◽  
L.G. Sanchez-Lozada ◽  
R.J. Johnson
Keyword(s):  
Chronic Kidney Disease ◽  
Risk Factor ◽  
Kidney Disease ◽  
Central America ◽  
Kidney Diseases ◽  
Long Term Effects ◽  
Acute Renal Dysfunction ◽  
Chronic Kidney Diseases

Dehydration, a condition that characterizes excessive loss of body water, is well known to be associated with acute renal dysfunction; however, it has largely been considered reversible and to be associated with no long-term effects on the kidney. Recently, an epidemic of chronic kidney disease has emerged in Central America in which the major risk factor seems to be recurrent heat-associated dehydration. This has led to studies investigating whether recurrent dehydration may lead to permanent kidney damage. Three major potential mechanisms have been identified, including the effects of vasopressin on the kidney, the activation of the aldose reductase-fructokinase pathway, and the effects of chronic hyperuricemia. The discovery of these pathways has also led to the recognition that mild dehydration may be a risk factor in progression of all types of chronic kidney diseases. Furthermore, there is some evidence that increasing hydration, particularly with water, may actually prevent CKD. Thus, a whole new area of investigation is developing that focuses on the role of water and osmolarity and their influence on kidney function and health.

scholarly journals A Link between Chronic Kidney Disease and Gut Microbiota in Immunological and Nutritional Aspects

Nutrients ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 3637
Author(s):  
Paulina Mertowska ◽  
Sebastian Mertowski ◽  
Julia Wojnicka ◽  
Izabela Korona-Głowniak ◽  
Ewelina Grywalska ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Immune System ◽  
Kidney Disease ◽  
Gut Microbiota ◽  
Intestinal Microbiota ◽  
Kidney Diseases ◽  
Disease Onset ◽  
Kidney Injury ◽  
Dietary Factors

Chronic kidney disease (CKD) is generally progressive and irreversible, structural or functional renal impairment for 3 or more months affecting multiple metabolic pathways. Recently, the composition, dynamics, and stability of a patient’s microbiota has been noted to play a significant role during disease onset or progression. Increasing urea concentration during CKD can lead to an acceleration of the process of kidney injury leading to alterations in the intestinal microbiota that can increase the production of gut-derived toxins and alter the intestinal epithelial barrier. A detailed analysis of the relationship between the role of intestinal microbiota and the development of inflammation within the symbiotic and dysbiotic intestinal microbiota showed significant changes in kidney dysfunction. Several recent studies have determined that dietary factors can significantly influence the activation of immune cells and their mediators. Moreover, dietary changes can profoundly affect the balance of gut microbiota. The aim of this review is to present the importance and factors influencing the differentiation of the human microbiota in the progression of kidney diseases, such as CKD, IgA nephropathy, idiopatic nephropathy, and diabetic kidney disease, with particular emphasis on the role of the immune system. Moreover, the effects of nutrients, bioactive compounds on the immune system in development of chronic kidney disease were reviewed.

scholarly journals GENETIC KIDNEY DISEASES AS AN UNDERECOGNIZED CAUSE OF CHRONIC KIDNEY DISEASE: THE KEY ROLE OF INTERNATIONAL REGISTRY REPORTS

2021 ◽  
Author(s):  
Roser Torra ◽  
Mónica Furlano ◽  
Alberto Ortiz ◽  
Elisabet Ars
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Kidney Diseases ◽  
Unknown Etiology ◽  
Correct Treatment ◽  
Monogenic Diseases ◽  
High Prevalence ◽  
Incorrect Diagnosis ◽  
Kidney Replacement Therapy

Abstract Inherited kidney diseases (IKDs) are among the leading causes of early-onset chronic kidney disease (CKD) and are responsible for at least 10–15% of cases of kidney replacement therapy (KRT) in adults. Pediatric nephrologists are very aware of the high prevalence of IKDs among their patients, but this is not the case for adult nephrologists. Recent publications have demonstrated that monogenic diseases account for a significant percentage of adult cases of CKD. A substantial number of these patients have received a non-specific/incorrect diagnosis or a diagnosis of CKD of unknown etiology, which precludes correct treatment, follow-up and genetic counseling. There are a number of reasons why genetic kidney diseases are difficult to diagnose in adulthood: a) adult nephrologists, in general, are not knowledgeable about IKDs, b) existence of atypical phenotypes, c) genetic testing is not universally available, d) family history is not always available or may be negative, e) lack of knowledge of various genotype–phenotype relationships, f) conflicting interpretation of the pathogenicity of many sequence variants.

Systems analysis of plasma IgG intact N-glycopeptides from patients with chronic kidney diseases via EThcD-sceHCD-MS/MS

The Analyst ◽  
2021 ◽  
Author(s):  
Yong Zhang ◽  
Shanshan Zheng ◽  
Yonghong Mao ◽  
Wei Cao ◽  
Lijun Zhao ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Immune Response ◽  
Kidney Disease ◽  
Immunoglobulin G ◽  
Systems Analysis ◽  
Kidney Diseases ◽  
Site Specific ◽  
Chronic Kidney Diseases

Immunoglobulin G (IgG) molecules modulate an immune response. However, site-specific N-glycosylation signatures of plasma IgG in patients with chronic kidney disease (CKD) remain unclear. This study aimed to propose a...

scholarly journals An Approach to Classify Chronic Kidney Diseases using Scintigraphy Images

2019 ◽  
Author(s):  
Pedro Pedrosa Rebouças Filho ◽  
Suane Pires Pinheiro Da Silva ◽  
Jefferson Silva Almeida ◽  
Elene Firmeza Ohata ◽  
Shara Shami Araujo Alves ◽  
...  
Keyword(s):  
Machine Learning ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Kidney Diseases ◽  
Extraction Methods ◽  
Support Vector ◽  
Svm Classifier ◽  
K Nearest Neighbors ◽  
Chronic Kidney Diseases ◽  
Occurrence Matrix

Chronic kidney diseases cause over a million deaths worldwide every year. One of the techniques used to diagnose the diseases is renal scintigraphy. However, the way that is processed can vary depending on hospitals and doctors, compromising the reproducibility of the method. In this context, we propose an approach to process the exam using computer vision and machine learning to classify the stage of chronic kidney disease. An analysis of different features extraction methods, such as Gray-Level Co-occurrence Matrix, Structural Co-occurrence Matrix, Local Binary Patters (LBP), Hu's Moments and Zernike's Moments in combination with machine learning methods, such as Bayes, Multi-layer Perceptron, k-Nearest Neighbors, Random Forest and Support Vector Machines (SVM), was performed. The best result was obtained by combining LBP feature extractor with SVM classifier. This combination achieved accuracy of 92.00% and F1-score of 91.00%, indicating that the proposed method is adequate to classify chronic kidney disease in two stages, being a high risk of developing end-stage renal failure and other outcomes, and otherwise.

scholarly journals Data Analysis on Chronic Kidney Disease Prognosis

2020 ◽  
Vol 8 (6S) ◽  
pp. 130-132
Keyword(s):  
Machine Learning ◽  
Chronic Kidney Disease ◽  
Data Analysis ◽  
Kidney Disease ◽  
Kidney Diseases ◽  
Chronic Kidney Diseases ◽  
Optimum Result ◽  
Disease Prognosis

We have taken our dataset from UCI Machine Learning Repository. Our study is about Chronic Kidney Diseases based on 24 input attributes to produce one output attribute i.e. a patient is suffering from chronic kidney disease or not. We have used three major attributes in our study i.e. PCV, RBCC and Hemoglobin with respect to Age for optimum result. These attributes play major role in our study.

scholarly journals Relationship between xerosis and pruritus in patients with chronic kidney disease

2017 ◽  
Vol 71 (0) ◽  
pp. 0-0
Author(s):  
Katarzyna Kiliś-Pstrusińska ◽  
Elżbieta Wojtowicz-Prus ◽  
Jacek Szepietowski
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Kidney Diseases ◽  
Treatment Options ◽  
Skin Lesions ◽  
Chronic Kidney Diseases ◽  
Skin Changes ◽  
Uremic Pruritus ◽  
Common Skin

Xerosis and pruritus are the most common skin disorders in patients with chronic kidney diseases (CKD). The prevalence and intensity of those skin changes are higher in patients undergoing dialysis, independent of its type, compared to patients treated conservatively. However, they can occur even in the early stages of CKD and be very bothersome for the sufferers. The problem of dry skin in CKD patients, its characteristics, reasons and relationship between xerosis and pruritus have been described. The current views on the pathogenesis of chronic kidney disease-associated pruritus (CKD-P), formerly known as uremic pruritus, have been discussed. This article summarizes the available treatment options for CKD-P, including both topical and systemic therapies. The authors direct attention to the need for skin lesions treatment in order to prevent their progression and to improve the quality of patients’ life.

scholarly journals Intelligent Prediction Techniques for Chronic Kidney Disease Data Analysis

2021 ◽  
Vol 11 (2) ◽  
pp. 19-37
Author(s):  
Shanmugarajeshwari V. ◽  
Ilayaraja M.
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Kidney Diseases ◽  
Clinical Decision ◽  
Great Accuracy ◽  
Attribute Selection ◽  
Risk Level ◽  
Chronic Kidney Diseases ◽  
Medical Databases ◽  
Prediction Techniques

Information is stored in various domains like finance, banking, hospital, education, etc. Nowadays, data stored in medical databases are growing rapidly. The proposed approach entails three parts comparable to preprocessing, attribute selection, and classification C5.0 algorithms. This work aims to design a machine-based diagnostic approach using various techniques. These algorithms improve the efficiency of mining risk factors of chronic kidney diseases, but there are also have some shortcomings. To overcome these issues and improve an effectual clinical decision support system exhausting classification methods over a large volume of the dataset for making better decisions and predictions, this paper presents grouping classification assembly through consuming the C5.0 algorithm, pointing towards assembling time to acquire great accuracy to identify an early diagnosis of chronic kidney disease patients with risk level by analyzing the chronic kidney disease dataset.

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