The association of endothelin-1 levels with renal survival in polycystic kidney disease patients

Cardiovascular Manifestations and Management in ADPKD

Cardiovascular disease (CVD) is the major cause of mortality in autosomal dominant polycystic kidney disease (ADPKD) and contributes to significant burden of disease. The manifestations are varied, including left ventricular hypertrophy (LVH), intracranial aneurysms (ICAs), valvular heart disease, and cardiomyopathies; however, the most common presentation and a major modifiable risk factor is hypertension. The aim of this review is to detail the complex pathogenesis of hypertension and other extrarenal cardiac and vascular conditions in ADPKD drawing on preclinical, clinical, and epidemiological evidence. The main drivers of disease are the renin-angiotensin-aldosterone system (RAAS) and polycystin-related endothelial cell dysfunction, with the sympathetic nervous system (SNS), nitric oxide (NO), endothelin-1 (ET-1), and asymmetric dimethylarginine (ADMA) likely playing key roles in different disease stages. The reported rates of some manifestations, such as LVH, have decreased likely due to the use of antihypertensive therapies; and others, such as ischemic cardiomyopathy, have been reported with increased prevalence likely due to longer survival and higher rates of chronic disease. ADPKD-specific screening and management guidelines exist for hypertension, LVH, and ICAs; and these are described in this review.

Biomarkers of Adverse Cardiovascular Events in Kidney Disease

Based on domestic and international literature the review refers to the analysis of the research data on risk factors and biomarkers for the development of adverse cardiovascular events in patients with chronic kidney disease and acute kidney injury. Biomarker studies are important, especially in the early stages of chronic kidney disease, that is, in patients with creatinine clearance above 60 ml/min/1.73 m2, when preventive and therapeutic measures work more effectively. Among the potential predictors of adverse cardiovascular events, the biomarkers related to the following pathological processes (conditions) should be noted: oxidative stress (malondialdehyde, ischemic-modified albumin; superoxide dismutase), inflammation (interleukin-6, interleukin-18), acute kidney injury (kidney injury molecule 1; neutrophil gelatinase-associated lipocalin), cardiospecific biomarkers (highly sensitive troponin) and circulating microribonucleic acids (specific miRNA-133a, miRNA-21), as well as the prospects for further study of some biomarkers in cardionephrology are discussed. A separate emphasis is placed on the need to establish threshold values for various molecules in chronic kidney disease, depending on the degree of decline in kidney function, which will allow these indicators to be effectively used in clinical practice as diagnostic and prognostic biomarkers for cardiovascular diseases, since their usual reference values are used in the general population, will be higher in kidney disease. Currently, only for troponin and natriuretic peptides, certain reference values are established, which are less clear-cut in the population with chronic kidney disease than in the general population, and for all other biomarkers, cut-off values are not yet known.

Detection of COVID-19-related biomarkers by electrochemical biosensors and potential for diagnosis, prognosis, and prediction of the course of the disease in the context of personalized medicine

As a more efficient and effective way to address disease diagnosis and intervention, cutting-edge technologies, devices, therapeutic approaches, and practices have emerged within the personalized medicine concept depending on the particular patient's biology and the molecular basis of the disease. Personalized medicine is expected to play a pivotal role in assessing disease risk or predicting response to treatment, understanding a person's health status, and, therefore, health care decision-making. This work discusses electrochemical biosensors for monitoring multiparametric biomarkers at different molecular levels and their potential to elucidate the health status of an individual in a personalized manner. In particular, and as an illustration, we discuss several aspects of the infection produced by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as a current health care concern worldwide. This includes SARS-CoV-2 structure, mechanism of infection, biomarkers, and electrochemical biosensors most commonly explored for diagnostics, prognostics, and potentially assessing the risk of complications in patients in the context of personalized medicine. Finally, some concluding remarks and perspectives hint at the use of electrochemical biosensors in the frame of other cutting-edge converging/emerging technologies toward the inauguration of a new paradigm of personalized medicine.

Metabolic Reprogramming and Reconstruction: Integration of Experimental and Computational Studies to Set the Path Forward in ADPKD

Metabolic reprogramming is a key feature of Autosomal Dominant Polycystic Kidney Disease (ADPKD) characterized by changes in cellular pathways occurring in response to the pathological cell conditions. In ADPKD, a broad range of dysregulated pathways have been found. The studies supporting alterations in cell metabolism have shown that the metabolic preference for abnormal cystic growth is to utilize aerobic glycolysis, increasing glutamine uptake and reducing oxidative phosphorylation, consequently resulting in ADPKD cells shifting their energy to alternative energetic pathways. The mechanism behind the role of the polycystin proteins and how it leads to disease remains unclear, despite the identification of numerous signaling pathways. The integration of computational data analysis that accompanies experimental findings was pivotal in the identification of metabolic reprogramming in ADPKD. Here, we summarize the important results and argue that their exploitation may give further insights into the regulative mechanisms driving metabolic reprogramming in ADPKD. The aim of this review is to provide a comprehensive overview on metabolic focused studies and potential targets for treatment, and to propose that computational approaches could be instrumental in advancing this field of research.

Insights Into the Molecular Mechanisms of Polycystic Kidney Diseases

Autosomal dominant (AD) and autosomal recessive (AR) polycystic kidney diseases (PKD) are severe multisystem genetic disorders characterized with formation and uncontrolled growth of fluid-filled cysts in the kidney, the spread of which eventually leads to the loss of renal function. Currently, there are no treatments for ARPKD, and tolvaptan is the only FDA-approved drug that alleviates the symptoms of ADPKD. However, tolvaptan has only a modest effect on disease progression, and its long-term use is associated with many side effects. Therefore, there is still a pressing need to better understand the fundamental mechanisms behind PKD development. This review highlights current knowledge about the fundamental aspects of PKD development (with a focus on ADPKD) including the PC1/PC2 pathways and cilia-associated mechanisms, major molecular cascades related to metabolism, mitochondrial bioenergetics, and systemic responses (hormonal status, levels of growth factors, immune system, and microbiome) that affect its progression. In addition, we discuss new information regarding non-pharmacological therapies, such as dietary restrictions, which can potentially alleviate PKD.

Markers of endothelial dysfunction and arterial stiffness in patients with early-stage autosomal dominant polycystic kidney disease: A meta-analysis

OBJECTIVES

Autosomal dominant polycystic kidney disease (ADPKD) is characterised by increased rates of cardiovascular complications leading to significant morbidity and mortality. This meta-analysis aims to evaluate whether the disease is linked to endothelial dysfunction and arterial stiffness during its early stages.

METHODS

Medline, Scopus, CENTRAL, Web of Science, Clinicaltrials.gov and Google Scholar databases comparing ADPKD patients with preserved renal function to healthy controls were included. The outcomes of interest were brachial flow-mediated dilatation, carotid-femoral pulse wave velocity, augmentation index, carotid intima-media thickness and central systolic blood pressure, plasma ADMA or homocysteine levels. Standardised mean differences (SMDs) were estimated by a random-effects model in R-3.6.3.

RESULTS

A total of 27 studies were included, comprising 1967 individuals. ADPKD was linked to significantly lower flow-mediated dilatation (SMD: -1.44, 95% CI: [-2.35, -0.53]) and higher pulse wave velocity (SMD: 1.44, 95% CI: [0.22, 2.66]) and carotid intima-media thickness (SMD: 1.02, 95% CI: [0.57, 1.47]). No significant associations were noted regarding augmentation index (SMD: 0.62, 95% CI: [-0.19, 1.43]) and central systolic blood pressure (SMD: 1.84, 95% CI: [-0.12, 3.80]). Plasma homocysteine was significantly higher in ADPKD (SMD: 0.81, 95% CI: [0.16, 1.45]), while no difference was calculated for ADMA levels (SMD: 1.14, 95% CI: [-0.25, 2.53]).

CONCLUSIONS

Early-stage ADPKD patients present increased vascular stiffness and endothelial dysfunction, as reflected by low flow-mediated dilatation and elevated values of pulse wave velocity, carotid intima-media thickness and plasma homocysteine. The exact effects of early arterial stiffness on long-term outcomes remain to be elucidated.

[Cardiovascular disorders in autosomal dominant polycystic kidney disease]

Autosomal dominant polycystic kidney disease is the most frequent genetic kidney disease. Cardiovascular disorders associated with autosomal dominant polycystic kidney disease are multiple and may occur early in life. In autosomal dominant polycystic kidney disease cardiovascular morbidity and mortality are related both to the nonspecific consequences of chronic kidney disease and to the particular phenotype of autosomal dominant polycystic kidney disease. Compared to the general population, patients with autosomal dominant polycystic kidney disease present an increased prevalence of hypertension, left ventricular hypertrophy, atrial fibrillation, valvular diseases, aneurisms and arterial dissections. This review article provides an update on cardiovascular disorders associated with autosomal dominant polycystic kidney disease and recent pathophysiological developments.

Systems biology approaches toward autosomal dominant polycystic kidney disease (ADPKD)

Background

Autosomal dominant polycystic kidney disease (ADPKD), a common of monogenetic disorder caused by the polycystic kidney disease-1 (PKD1) or PKD2 genes deficiency. In this study, we have re-analyzed a microarray dataset to generate a holistic view of this disease.

Methodology

GSE7869, an expression profiling dataset was downloaded from the Gene Expression Omnibus (GEO) database. After quality control assessment, using GEO2R tool of GEO, genes with adjusted p-value ≤ 0.05 were determined as differentially expressed (DE). The expression profiles from ADPKD samples in different sizes were compared. Using CluePedia plugin of Cytoscape software, the protein–protein interaction (PPI) networks were constructed and analyzed by Cytoscape NetworkAnalyzer tool and MCODE application. Pathway enrichment analysis of clustered genes by MCODE with the high centrality parameters in PPI networks was performed using Cytoscape ClueGO plugin. Moreover, by Enrichr database, microRNAs (miRNAs) and transcription factors (TFs) targeted DE genes were identified.

Results

In this study to explore the molecular pathogenesis of kidney in ADPKD, mRNA expression profiles of cysts from patients in different sizes were re-analyzed. The comparisons were performed between normal with minimally cystic tissue (MCT) samples, MCTs with small cysts, and small cysts with large cysts. 512, 7024, and 655 DE genes were determined, respectively. The top central genes, e.g. END1, EGFR, and FOXO1 were identified with topology and clustering analysis. DE genes that were significantly enriched in PPI networks are critical genes and their roles in ADPKD remain to be assessed in future experimental studies beside miRNAs and TFs predicted. Furthermore, the functional analysis resulted in which most of them are expected to be associated with ADPKD pathogenesis, such as signal pathways that involved in cell growth, inflammation, and cell polarity.

Conclusion

We have here explored systematic approaches for molecular mechanisms assay of ADPKD as a monogenic disease, which may also be used for other monogenetic diseases beside complex diseases to provide suitable therapeutic targets.

Endothelin-converting enzyme-1 expression in acute and chronic liver injury in fibrogenesis

Endothelin-1 (ET-1) induces contraction, proliferation, and collagen synthesis of activated hepatic stellate cells and is a potent mediator of portal hypertension. Endothelin-converting enzyme-1 (ECE-1) generates ET-1 from the inactive precursor big-endothelin-1. The cellular distribution and activity of ECE-1 in the liver is unknown. Hepatic fibrogenesis was induced in rats by CCl₄ administration and secondary biliary cirrhosis after 6 weeks of complete bile duct occlusion (BDO). The tissue ET-1 and ET receptor protein levels were quantified, the ECE-1 isoform mRNAs were measured by RNase protection assay and ECE-1 activity was analyzed. ECE-1a and -b mRNA were upregulated in biliary cirrhosis and in CCl₄-injured livers, whereas ECE-1c mRNA remained unchanged. ECE-1 activity was increased after BDO and peaked at 12 h after acute CCl₄-intoxication. Tissue levels of ET-1, ET_A- and ET_B receptors were elevated 7-, 5-, and 4.6-fold in cirrhotic rats, respectively. ECE-1 activity increased following BDO and acute CCl₄-intoxication. In conclusion, ECE-1a and -b RNAs are upregulated in fibrogenesis, indicating that these isoforms play a central role in ET-1 generation during fibrogenesis and portal hypertension.

Morphological evaluation of sympathetic renal innervation in patients with autosomal dominant polycystic kidney disease

Several evidences support the hypothesis that patients affected by autosomal dominant polycystic kidney disease (ASPKD) show a sympathetic renal hyperactivity. Nevertheless, no morphological evidences are available yet. Therefore, the aim of the study was to demonstrate that an increase in sympathetic renal artery innervation was present in the ADPKD patients by using histological methods. In addition, here we correlated the sympathetic renal artery innervation with the evolutionary state of ADPKD (increase in volume of kidney, onset of chronic renal failure and hypertension). To this end, peri-adventitial innervation of renal arteries was studied using morphological methods from 49 patients in total: 29 underwent surgical nephrectomies for ADPKD and 20 non-dialysis patients (CTRL group) undergoing nephrectomy for other diseases. Nerve density (number of nerves per mm²) was evaluated in the peri-adventitial tissue in a concentric ring that was located within 2 mm from the beginning of the adventitia by using immunohistochemistry. The total nerve density was significantly increased in the ADPKD group (1.26 ± 0.82 × mm²) as compared to controls (0.78 ± 0.40 × mm²) (p = 0.02). Hypertensive patients with ADPKD showed a greater nerve density than control hypertensives. However, the increase in renal sympathetic innervation in the ADPKD patients was found to be independent of hypertension, resistance to antihypertensive therapy, age, sex and kidney volume, as demonstrated by the uni and multivariate analysis. In conclusion, our study better clarifies the effect of sympathetic hyperactivity in the progression of polycystic disease.