scholarly journals Relationships between phosphatemia/phosphaturia and EEG/HRV parameters in patients with chronic pyelonephritis

2021 ◽  
Vol 11 (2) ◽  
pp. 335-346
Author(s):  
Anatoliy Kushneruk ◽  
Anatoliy Gozhenko ◽  
Walery Zukow ◽  
Igor Popovych
Keyword(s):  
Kidney Disease ◽  
Canonical Correlation ◽  
Phosphate Concentration ◽  
Chronic Pyelonephritis ◽  
Plasma Phosphate ◽  
Wide Range ◽  
Daily Urine ◽  
Calcium Exchange ◽  
Causal Nature ◽  
Phosphate Exchange

Background. As part of the project "Relationships between parameters of electrolytes exchange and EEG&HRV in people without kidney disease and patients with chronic pyelonephritis" we have previously shown that parameters of calcium exchange and EEG/HRV are closely related. In this study, we analyzed the relationships between parameters of phosphate exchange and EEG/HRV in the same cohort of patients. Material and methods. The object of observation were 48 males and 15 females 24-76 years old, who came to the spa Truskavets’ (Ukraine) for the treatment of chronic pyelonephritis in remission. We recorded simultaneosly EEG (“NeuroCom Standard”) and electrocardiogram ("CardioLab+HRV") in II lead to assess the parameters of HRV. Phosphate concentration was determined in blood plasma and daily urine. Results. It was stated normal or moderately reduced plasma phosphate levels in combination with a very wide range of phosphate urinary excretion. A very strong canonical correlation was found between phosphatemia and EEG/HRV parameters (R=0,982). The correlations with the parameters of the beta and theta rhythms of the EEG and the HRV are positive, while with the parameters of the delta rhythm of the EEG are negative. The canonical correlation between phosphaturia and EEG parameters is also very strong (R=0,879). Conclusion. Parameters of phosphate exchange and EEG/HRV are closely related, however the question of the causal nature of correlations remains open.

scholarly journals Relationships between calciemia and calciuria and EEG and HRV parameters in patients with chronic pyelonephritis

2020 ◽  
Vol 10 (12) ◽  
pp. 406-417
Author(s):  
Anatoliy Gozhenko ◽  
Anatoliy Kushneruk ◽  
Walery Zukow ◽  
Igor Popovych
Keyword(s):  
Canonical Correlation ◽  
Alpha Rhythm ◽  
Plasma Calcium ◽  
Chronic Pyelonephritis ◽  
Creatinine Concentration ◽  
Beta Rhythm ◽  
Wide Range ◽  
Daily Urine ◽  
Calcium Exchange ◽  
Causal Nature

Background. This article launches a new project "Relationships between parameters of electrolytes exchange and EEG&HRV in people without kidney disease and patients with chronic pyelonephritis". Calcium was chosen as the first swallow. Material and methods. The object of observation were 48 males and 15 females 24-76 years old, who came to the spa Truskavets’ (Ukraine) for the treatment of chronic pyelonephritis in remission. We recorded simultaneosly EEG (“NeuroCom Standard”) and electrocardiogram ("CardioLab+HRV") in II lead to assess the parameters of HRV. Calcium and creatinine concentration was determined in blood plasma and daily urine. Results. The observed sample is characterized by moderate and mild expressed urinary syndrome, ie represents the urological contingent of the Truskavets’ spa. It was stated normal or moderately reduced plasma calcium levels in combination with a very wide range of calcium urinary excretion. A very strong canonical correlation was found between calciumemia and EEG/HRV parameters (r=0,910). The correlation with the parameters of the beta rhythm of the EEG and VLF/ULF components of the HRV is positive, while with the parameters of the alpha rhythm of the EEG is negative. The canonical correlation between calciumuria and EEG/HRV parameters is moderate (r=0,571). There was a positive correlation with other parameters of the beta rhythm of the EEG and a negative correlation with the parameters of the delta rhythm of the EEG and LF/VLF components of HRV. Conclusion. Parameters of calcium exchange and EEG/HRV are closely related, however the question of the causal nature of correlations remains open.

scholarly journals Non-Albumin Proteinuria (NAP) as a Complementary Marker for Diabetic Kidney Disease (DKD)

Life ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 224
Author(s):  
Jaehyun Bae ◽  
Young Jun Won ◽  
Byung-Wan Lee
Keyword(s):  
Kidney Disease ◽  
Filtration Rate ◽  
Diabetic Kidney Disease ◽  
Estimated Glomerular Filtration Rate ◽  
Early Stage ◽  
Screening Tools ◽  
Tubular Injury ◽  
Current Standard ◽  
Diabetic Kidney ◽  
Wide Range

Diabetic kidney disease (DKD) is one of the most common forms of chronic kidney disease. Its pathogenic mechanism is complex, and it can affect entire structures of the kidney. However, conventional approaches to early stage DKD have focused on changes to the glomerulus. Current standard screening tools for DKD, albuminuria, and estimated glomerular filtration rate are insufficient to reflect early tubular injury. Therefore, many tubular biomarkers have been suggested. Non-albumin proteinuria (NAP) contains a wide range of tubular biomarkers and is convenient to measure. We reviewed the clinical meanings of NAP and its significance as a marker for early stage DKD.

P0031AURINE METABOLOMICS: AN EMERGING TOOL FOR DISSECTING BIOLOGICAL ABERRATIONS UNDERLYING RENAL DYSFUNCTION IN BARDET-BIEDL SYNDROME

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Miriam Zacchia ◽  
Emanuela Marchese ◽  
Marianna Caterino ◽  
Margherita Ruoppolo ◽  
Giovambattista Capasso
Keyword(s):  
Lactic Acid ◽  
Kidney Disease ◽  
Renal Disease ◽  
Renal Dysfunction ◽  
Metabolic Pathways ◽  
Healthy Subjects ◽  
Hexadecenoic Acid ◽  
Kidney Dysfunction ◽  
Bardet Biedl Syndrome ◽  
Wide Range

Abstract Background and Aims Bardet Biedl Syndrome (BBS) is a rare genetic disorder characterized by a wide range of organ dysfunction, including kidney disease. The severity of renal dysfunction is highly variable in this setting, ranging from tubular defects to the end stage renal disease, with poor genotype-phenotype correlation. Proteomics and metabolomics are powerful tools able to contribute to the better understanding of molecular basis of disease conditions. Our previous studies demonstrated that the urinary proteomic pattern of BBS patients differed from that of healthy subjects, with a set of deregulated proteins including cell adhesion and extracellular matrix organization proteins (1). The present study aims to characterize urine metabolomic profile of BBS patients, in order to identify both 1) potential disease biomarkers and 2) aberrant metabolic pathways underlying renal disease Method To this end, in the pilot study urine samples have been collected from 14 adult BBS patients and have been compared with healthy volunteers, using an untargeted strategy. In the confirmation study, 24 BBS patients with wide range of kidney dysfunction have been enrolled, and additional control groups, besides healthy subjects, were included: 1) age-gender-matched chronic kidney disease patients by other causes and 2) obese individuals. Results Several metabolites were de-regulated in BBS patients compared with normal subjects (lactic acid, glycolic acid,3-Hydroxypropionic acid, pyruvic acid, 3-hydroxyisobutyric acid, 2-ethyl-3-hydroxy-propionic acid, succinic acid, fumaric acid, erythropentonic acid, 2-hydroxyglutaric acid, 4-hydroxyphenyllactic acid, 3,4-pyridinedicarboxylic acid, retinoic acid, 4-hydroxyphenylacetic acid, palmitic acid, 9-Hexadecenoic acid, oleic acid and 9-Octadecenoic acid). The clusterization performed by MetaboAnalyst tool, revealed a possible deregulation of different metabolic pathways, including glycolysis, TCA cycle, pyruvate metabolism, lipids biosynthesis and glutamate metabolism (p-value <0.01) (figure 1); some of these pathways were described as de-regulated in other ciliopathies (2). In the confirmation study (on-going studies) some metabolites, including lactic acid and intermediates of Krebs cycle, correlated with kidney dysfunction only in the BBS group. Conclusion These findings suggest that urine metabolomic fingerprint of BBS patients is different from that of healthy subjects and indicate a possible deregulation of several metabolic pathways; some urinary molecules correlated with kidney dysfunction only in BBS patients, suggesting the specificity of these results.

scholarly journals New PAX2 Mutation Associated with Polycystic Kidney Disease: A Case Report

2021 ◽  
Vol 15 ◽  
pp. 117955652199235
Author(s):  
Jessica Maria Forero-Delgadillo ◽  
Vanessa Ochoa ◽  
Natalia Duque ◽  
Jaime Manuel Restrepo ◽  
Hernando Londoño ◽  
...  
Keyword(s):  
Kidney Disease ◽  
Novel Mutation ◽  
Clinical Manifestations ◽  
Renal Cysts ◽  
Renal Dysplasia ◽  
Cystic Kidney Disease ◽  
Cystic Kidney ◽  
Incomplete Penetrance ◽  
Wide Range ◽  
Stage Renal Disease

Background: Congenital anomalies of the kidney and urinary tract (CAKUT) are the leading cause of end stage renal disease in children. Diagnosis by genetic testing has proven challenging due to its genetic and phenotypic heterogeneity, as well as incomplete penetrance. We report a case on a 16-months old female with a history of renal cysts and a PAX2 mutation. Case presentation: The patient presented with a prenatal diagnosis of Potter sequence and a postnatal diagnosis of renal cysts. An ultrasound at 20 weeks gestation revealed right renal agenesis and possible left renal dysplasia. Post natal genetic analyses identified a novel mutation in PAX2. Conclusion: Cystic kidney disease is often underdiagnosed due to its variable expressivity and wide range of clinical manifestations; PAX2 genetic screening should be considered for all patients with CAKUT.

scholarly journals Heme Oxygenase 1: A Defensive Mediator in Kidney Diseases

2021 ◽  
Vol 22 (4) ◽  
pp. 2009
Author(s):  
Anne Grunenwald ◽  
Lubka T. Roumenina ◽  
Marie Frimat
Keyword(s):  
Kidney Disease ◽  
Heme Oxygenase ◽  
Current Knowledge ◽  
Kidney Diseases ◽  
Heme Oxygenase 1 ◽  
Wide Range ◽  
Significant Burden ◽  
Stage Renal Disease ◽  
End Stage ◽  
Positive Effect

The incidence of kidney disease is rising, constituting a significant burden on the healthcare system and making identification of new therapeutic targets increasingly urgent. The heme oxygenase (HO) system performs an important function in the regulation of oxidative stress and inflammation and, via these mechanisms, is thought to play a role in the prevention of non-specific injuries following acute renal failure or resulting from chronic kidney disease. The expression of HO-1 is strongly inducible by a wide range of stimuli in the kidney, consequent to the kidney’s filtration role which means HO-1 is exposed to a wide range of endogenous and exogenous molecules, and it has been shown to be protective in a variety of nephropathological animal models. Interestingly, the positive effect of HO-1 occurs in both hemolysis- and rhabdomyolysis-dominated diseases, where the kidney is extensively exposed to heme (a major HO-1 inducer), as well as in non-heme-dependent diseases such as hypertension, diabetic nephropathy or progression to end-stage renal disease. This highlights the complexity of HO-1’s functions, which is also illustrated by the fact that, despite the abundance of preclinical data, no drug targeting HO-1 has so far been translated into clinical use. The objective of this review is to assess current knowledge relating HO-1’s role in the kidney and its potential interest as a nephroprotection agent. The potential therapeutic openings will be presented, in particular through the identification of clinical trials targeting this enzyme or its products.

scholarly journals Diagnosis dan tatalaksana renal sel karsinoma

2018 ◽  
Vol 2 (2) ◽  
pp. 23-27
Author(s):  
Ni Made Dwi Adnyani ◽  
I Gde Raka Widiana
Keyword(s):  
Health Care ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Chronic Pyelonephritis ◽  
Health Care Associated Pneumonia ◽  
Single Kidney

Karsinoma sel renal (KSR) merupakan kanker yang cukup sering terjadi, sekitar 3 sampai 4% kasus di Amerika Serikat, namun di Asia kasusnya cukup jarang. Insiden KSR semakin menigkat dalam beberapa tahun terakhir. Perokok aktif dan pasif seperti juga hipertensi merupakan faktor risiko KSR. Dilaporkan sebuah kasus, perempuan, 61 tahun, dengan Chronic Kidney Disease (CKD) stadium V et causa chronic pyelonephritis (PNC) single kidney, batu ureter 1/3 distal sinistra, hidronefrosis derajat IV ginjal sinistra, adenokarsinoma (Adeno Ca) renal dextra stadium III post radical nefrectomy. Pasca operasi kondisi pasien sempat membaik, produksi urine cukup ± 800 cc/24 jam, dan ada penurunan serum kreatinin. Pasien sempat menjalani beberapa kali hemodialis selama perawatan dan direncanakan hemodialisis regular. Sepuluh hari paska MRS pasien kembali dirawat dengan pneumonia (Health Care Associated Pneumonia) dan diberikan antibiotik empiris, dalam perkembanganya kondisi semakin memburuk dan akhirnya meninggal dengan penyebab kematian syok sepsis. Kasus ini diangkat untuk memperdalam mengenai diagnosis dan tatalaksana seorang penderita dengan renal sel karsinoma sehingga dapat mencegah terjadinya prognosis buruk di kemudian hari.

scholarly journals TREATMENT OF PATIENTS WITH CHRONIC DISEASE KIDNEYS OF THE PRESENCE OF LESIONS GASTRODUODENAL AREAS AND CHRONIC PYLONEPHRITIS IN COMBINATION WITH METABOLIC SYNDROME

2018 ◽  
Vol 64 ◽  
Author(s):  
O.V. Demchuk ◽  
D.A. Slobodian ◽  
А.A. Piddubna ◽  
V.V. Vivsiannyk ◽  
M.A. Vintonyak
Keyword(s):  
Metabolic Syndrome ◽  
Chronic Kidney Disease ◽  
Chronic Disease ◽  
Kidney Disease ◽  
Economic Problem ◽  
Chronic Pyelonephritis

The article deals with literature data on the theory of progression of patients with chronic kidney disease with the presence of lesions of the gastroduodenal region and chronic pyelonephritis in association with metabolic syndrome. The methods of treating these diseases are presented, because this, apart from actually clinical, also has a socio-economic problem.

scholarly journals Chronic Kidney Disease Prediction using Machine Learning Models

2019 ◽  
Vol 9 (1) ◽  
pp. 6364-6367
Keyword(s):  
Machine Learning ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Kidney Failure ◽  
Bone Diseases ◽  
Machine Learning Algorithms ◽  
Knowledge Generation ◽  
Good Prediction ◽  
Worst Case ◽  
Wide Range

The field of biosciences have advanced to a larger extent and have generated large amounts of information from Electronic Health Records. This have given rise to the acute need of knowledge generation from this enormous amount of data. Data mining methods and machine learning play a major role in this aspect of biosciences. Chronic Kidney Disease(CKD) is a condition in which the kidneys are damaged and cannot filter blood as they always do. A family history of kidney diseases or failure, high blood pressure, type 2 diabetes may lead to CKD. This is a lasting damage to the kidney and chances of getting worser by time is high. The very common complications that results due to a kidney failure are heart diseases, anemia, bone diseases, high potasium and calcium. The worst case situation leads to complete kidney failure and necessitates kidney transplant to live. An early detection of CKD can improve the quality of life to a greater extent. This calls for good prediction algorithm to predict CKD at an earlier stage . Literature shows a wide range of machine learning algorithms employed for the prediction of CKD. This paper uses data preprocessing,data transformation and various classifiers to predict CKD and also proposes best Prediction framework for CKD. The results of the framework show promising results of better prediction at an early stage of CKD

Concomitant Burkholderiapseudomallei and Staphylococcus aureus Infection in a chronic kidney disease patient: A Case Report and Literature Review

2021 ◽  
Vol 20 (2) ◽  
pp. 456-458
Author(s):  
Norjihan Abdul Hamid ◽  
Mohd Zulfakar Mazlan ◽  
Zeti Norfidiyati Salmuna
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Chronic Kidney Disease Patient ◽  
Medical Science ◽  
Disease Patient ◽  
Asymptomatic Infection ◽  
Clinical Presentations ◽  
Wide Range ◽  
Diagnostic Microbiology ◽  
And Staphylococcus Aureus

Melioidosis can happen in humans and animals. It has a wide range of clinical presentations that include asymptomatic infection, ulcers or abscesses of the skin, pneumonia, and multiple internal organ abscesses that may lead to fulminant septic shock. The organism presence in soil and surface of the water. We present a case of a non-diabetic chronic kidney disease patient presented with multiple carbuncles and respiratory melioidosis in which we are able to isolate B. pseudomallei after prolonging the plate incubation for 48-hours. We also suggested available tests in most diagnostic microbiology laboratory for identification of the organism. Bangladesh Journal of Medical Science Vol.20(2) 2021 p.456-458

Interrelations of arsenate and phosphate transport in the dog kidney

1963 ◽  
Vol 205 (4) ◽  
pp. 707-714 ◽  
Author(s):  
J. M. Ginsburg ◽  
W. D. Lotspeich
Keyword(s):  
Phosphate Transport ◽  
Tubular Secretion ◽  
Tubular Reabsorption ◽  
Urine Flow ◽  
Phosphate Concentration ◽  
Plasma Phosphate ◽  
Osmotic Diuresis ◽  
Competitive Mechanism ◽  
Dog Kidney

The relation between arsenate and phosphate transport in the dog kidney was studied by measuring the renal clearance of arsenate labeled with its radioactive isotope As74. The experiments were performed during osmotic diuresis induced by mannitol. The results demonstrate certain similarities in the transport of these ions. Arsenate undergoes a net tubular reabsorption which is inhibited as the plasma phosphate concentration is raised. The inverse relationship between arsenate transport and the plasma As:P ratio suggests a competitive mechanism for the interaction between the two ions Like phosphate, arsenate transport is inhibited by glucose and this effect is reversed by phlorizin. An important difference between arsenate and phosphate transport is the sensitivity of arsenate transport to urine flow. In vivo reduction of arsenate to arsenite and a net tubular secretion of arsenite has been observed. The results are discussed in terms of the known ability of arsenate to substitute for phosphate in biochemical reactions.

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