scholarly journals Butyrate producing microbiota are reduced in chronic kidney diseases

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bei Gao ◽  
Adarsh Jose ◽  
Norma Alonzo-Palma ◽  
Taimur Malik ◽  
Divya Shankaranarayanan ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Gut Microbiota ◽  
Disease Severity ◽  
Kidney Diseases ◽  
Health Concern ◽  
Chronic Kidney Diseases ◽  
Component Systems ◽  
Advanced Stages ◽  
Two Component Systems

AbstractChronic kidney disease is a major public health concern that affects millions of people globally. Alterations in gut microbiota composition have been observed in patients with chronic kidney disease. Nevertheless, the correlation between the gut microbiota and disease severity has not been investigated. In this study, we performed shot-gun metagenomics sequencing and identified several taxonomic and functional signatures associated with disease severity in patients with chronic kidney disease. We noted that 19 microbial genera were significantly associated with the severity of chronic kidney disease. The butyrate-producing bacteria were reduced in patients with advanced stages of chronic kidney diseases. In addition, functional metagenomics showed that two-component systems, metabolic activity and regulation of co-factor were significantly associated with the disease severity. Our study provides valuable information for the development of microbiota-oriented therapeutic strategies for chronic kidney disease.

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 The Association between Gut Microbiota and Uremia of Chronic Kidney Disease

2020 ◽  
Vol 8 (6) ◽  
pp. 907 ◽  
Author(s):  
Ji Eun Kim ◽  
Hyo-Eun Kim ◽  
Ji In Park ◽  
Hyunjeong Cho ◽  
Min-Jung Kwak ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Gut Microbiota ◽  
Kidney Function ◽  
Kidney Diseases ◽  
Toxin Production ◽  
Positive Interactions ◽  
Uremic Toxin ◽  
Serum Concentrations ◽  
Pyruvate Metabolism

Chronic kidney disease (CKD)-associated uremia aggravates—and is aggravated by—gut dysbiosis. However, the correlation between CKD severity and gut microbiota and/or their uremic metabolites is unclear. We enrolled 103 CKD patients with stage 1 to 5 and 46 healthy controls. We analyzed patients’ gut microbiota by MiSeq system and measured the serum concentrations of four uremic metabolites (p-cresyl sulfate, indoxyl sulfate, p-cresyl glucuronide, and trimethylamine N-oxide) by liquid chromatography–tandem mass spectrometry. Serum concentrations of the uremic metabolites increased with kidney function deterioration. Gut microbial diversity did not differ among the examined patient and control groups. In moderate or higher stage CKD groups, Oscillibacter showed positive interactions with other microbiota, and the proportions of Oscillibacter were positively correlated with those of the uremic metabolites. The gut microbiota, particularly Oscillibacter, was predicted to contribute to pyruvate metabolism which increased with CKD progression. Relative abundance of Oscillibacter was significantly associated with both serum uremic metabolite levels and kidney function. Predicted functional analysis suggested that kidney-function-associated changes in the contribution of Oscillibacter to pyruvate metabolism in CKD may greatly affect the gut environment according to kidney function, resulting in dysbiosis concomitant with uremic toxin production. The gut microbiota could be associated with uremia progression in CKD. These results may provide basis for further metagenomics analysis of kidney diseases.

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.

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.

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.

scholarly journals Hypertension in Chronic Kidney Disease: Navigating the Evidence

2011 ◽  
Vol 2011 ◽  
pp. 1-9 ◽  
Author(s):  
F. M. Tedla ◽  
A. Brar ◽  
R. Browne ◽  
C. Brown
Keyword(s):  
Blood Pressure ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Kidney Diseases ◽  
Pressure Control ◽  
Current Evidence ◽  
Chronic Kidney Diseases ◽  
Clinical Disorders ◽  
Treatment Of Hypertension ◽  
Review Current

Hypertension is both an important cause and consequence of chronic kidney disease. Evidence from numerous clinical trials has demonstrated the benefit of blood pressure control. However, it remains unclear whether available results could be extrapolated to patients with chronic kidney diseases because most studies on hypertension have excluded patients with kidney failure. In addition, chronic kidney disease encompasses a large group of clinical disorders with heterogeneous natural history and pathogenesis. In this paper, we review current evidence supporting treatment of hypertension in various forms of chronic kidney disease and highlight some of the gaps in the extant literature.

Stratification and Assessment of Risk Factors of Chronic Kidney Disease in Hospitalized Patients

2020 ◽  
Vol 49 (2) ◽  
pp. 19-24
Author(s):  
Mohammad Kamrul Hasan ◽  
Md Haidar Ali ◽  
Md Ashikur Rahman ◽  
Mariam Mille ◽  
Ashiqur Rahman ◽  
...  
Keyword(s):  
Risk Factors ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Salt Intake ◽  
Kidney Diseases ◽  
Hospitalized Patients ◽  
Health Concern ◽  
Global Public Health ◽  
College Hospital ◽  
Female Ratio

Chronic kidney disease (CKD) has become a global public health concern. The adverse outcome of CKD are high in number in developing countries due to scarcity of facilities for renal replacement therapy and high cost of services for management of ESRD. It is one of the leading cause of hospital deaths. CKD is strongly associated with diabetes, hypertension, glomerulonephritis and elevated lipids.  Therefore, identifying the preventable risk factors, pathophysiological mechanisms and stratification of CKD helps in decreasing and slowing its progression. This study was conducted for the staging of chronic kidney disease (CKD) and assessment of the risk factors with CKD in hospitalized patients of Dhaka Medical College Hospital in collaboration with Medicine and Nephrology department. This was a cross sectional observational study where 125 patients having chronic kidney diseases (CKD) were diagnosed on the basis of history, clinical examinations and investigations, who had fulfill the inclusion and exclusion criteria admitted in the department of medicine and department of nephrology from January to December 2016. Sampling method was purposive sampling. A specifically designed questionnaire were used to get the personal and medical history data. Blood and urine samples were collected and data was analyzed using SPSS (22.00). Out of 125 patients, no Stage-1 patient was found, remaining were   Stage- 2 CKD 7.2%, Stage- 3 CKD 63.2%, Stage- 4 CKD was 25.6%,  and  Stage- 5 CKD was 4%. Among 125 participants, 52.0% had glomerulonephritis (GN), 31.2% had diabetes mellitus (DM) and 9.6% had hypertension (HTN). Mean age was 48.41 (±13.99) years, mean body weight was 50.61 (±10.73) Kg, mean BMI was 22.9 (±1.69), male female ratio was 3.6:1.  Age group 51 to 60 years were suffering more. The association between CKD and other risk factors including obesity and overweight, use of tobacco, diabetes and hypertension were highly significant. The commonest risk factors for CKD like DM and HTN are also alarmingly high and obviously adding to the existing burden of CKD. Early detection of the risk factors of CKD, early referral to nephrologist, appropriate treatment of hypertension, DM, GN and other risk factors, life style modification with specific emphasis on reduction in salt intake, physical exercise, and abstinence from smoking would retard progression of kidney disease to an advanced stage. Bangladesh Med J. 2020 May; 49(2) : 19-24

Sign in / Sign up

Export Citation Format

Share Document