Uremic endothelial-derived extracellular vesicles: Mechanisms of formation and their role in cell adhesion, cell migration, inflammation, and oxidative stress

Favretto, Giane; Cunha, Regiane Stafim da; Santos, Andressa Flores; Leitolis, Amanda; Schiefer, Elberth Manfron; Gregório, Paulo Cézar; Franco, Célia Regina Cavichiolo; Massy, Ziad A.; Dalboni, Maria Aparecida; Stinghen, Andréa Emília Marques

doi:10.1016/j.toxlet.2021.04.019

Cited by 11 publications

(9 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fetuin-A is responsible for about 50% of the precipitation-inhibitory effect in serum and extracellular fluids [19]. Calcium phosphate deposition, mainly in the form of carbonate and hydroxyapatite, is the hallmark of vascular calcification and can occur in the blood vessels, myocardium and cardiac valves [20]. The results of this study showed that the number and distribution of hypertensive patients was higher among the H.D group.…”

Section: Discussionmentioning

confidence: 71%

Serum fetuin-A as a perdictive biomarker of chronic kidney disease

mahmoud

Mahmoud²,

El-Fadl³

et al. 2022

Aswan University Medical Journal

View full text Add to dashboard Cite

Background: Chronic kidney disease (CKD) is a worldwide public health problem. Fetuin A is a natural calcium antagonist. Both human and animal studies have shown that low circulating fetuin A level are associated with vascular calcification and may be an independent risk factor for premature death in CKD patients. Objective: The aim of this study was to evaluate the effect of serum fetuin-A in the pathogenesis of chronic kidney disease and its correlation with routine renal biomarkers.Patients and methods: The study population was divided into 3 groups. Group I: Pre-dialysis group: on conservative treatment. Group II (CKD): on regular hemodialysis, 3 sessions/week for more than 9 months. Group III (Control group).Results: There was significant negative correlation between blood urea, serum creatinine versus serum fetuin-A in conservative group with arterial stiffness. There was significant positive correlation between eGFR and serum fetuin-A in conservative group with arterial stiffness, while there was no significant correlation between serum fetuin-A and Hb, HcT, platelets, WBCS, FBS, Na + , K + , PO4 -2 , serum uric acid, total bilirubin, ALT, AST, ALP, serum albumin and prothrombin time. There was significant negative correlation between serum Ca +2 and serum fetuin-A. There was significant negative correlation between total cholesterol as well as triglycerides versus serum fetuin A.Conclusion: serum fetuin-A level significantly reduced in hemodialysis patients, significantly correlated with the disease duration, and negatively correlated with serum Ca, T. cholesterol, and T.G.

show abstract

Section: Discussionmentioning

confidence: 71%

Serum fetuin-A as a perdictive biomarker of chronic kidney disease

mahmoud

Mahmoud²,

El-Fadl³

et al. 2022

Aswan University Medical Journal

View full text Add to dashboard Cite

show abstract

“…Favretto et al observed the formation of different-sized EVs from endothelial cells generated by PCS, IS, and Pi treatments in vitro. In addition, it stimulated cell adhesion markers in PCS and Pi-induced EVs and VCAM-1 expression in PCS and IS-induced EVs [4].…”

Section: The Importance Of Extracellular Vesicles In Heart/kidney Axis and Peritoneal Dialysismentioning

confidence: 91%

“…They can be detected in plasma, urine, and other body fluids of healthy people [71], and their levels are increased in various diseases, mainly reflecting the injury suffered in these tissues [72]. As their composition depends on the pathophysiological and functional state of their cell of origin, they have been studied as potential biomarkers in several diseases, especially cardiovascular [73][74][75], immune [76][77][78][79], cancer [80][81][82][83][84], viral infection, including COVID-19 [85,86], CKD [4,[87][88][89][90], and recently in peritoneal dialysis [57,65,66,91,92].…”

Section: The Importance Of Extracellular Vesicles In Heart/kidney Axis and Peritoneal Dialysismentioning

confidence: 99%

See 1 more Smart Citation

Extracellular Vesicles and Their Relationship with the Heart–Kidney Axis, Uremia and Peritoneal Dialysis

Azevedo

Cunha

Junho

et al. 2021

Toxins

Self Cite

View full text Add to dashboard Cite

Cardiorenal syndrome (CRS) is described as primary dysfunction in the heart culminating in renal injury or vice versa. CRS can be classified into five groups, and uremic toxin (UT) accumulation is observed in all types of CRS. Protein-bound uremic toxin (PBUT) accumulation is responsible for permanent damage to the renal tissue, and mainly occurs in CRS types 3 and 4, thus compromising renal function directly leading to a reduction in the glomerular filtration rate (GFR) and/or subsequent proteinuria. With this decrease in GFR, patients may need renal replacement therapy (RRT), such as peritoneal dialysis (PD). PD is a high-quality and home-based dialysis therapy for patients with end-stage renal disease (ESRD) and is based on the semi-permeable characteristics of the peritoneum. These patients are exposed to factors which may cause several modifications on the peritoneal membrane. The presence of UT may harm the peritoneum membrane, which in turn can lead to the formation of extracellular vesicles (EVs). EVs are released by almost all cell types and contain lipids, nucleic acids, metabolites, membrane proteins, and cytosolic components from their cell origin. Our research group previously demonstrated that the EVs can be related to endothelial dysfunction and are formed when UTs are in contact with the endothelial monolayer. In this scenario, this review explores the mechanisms of EV formation in CRS, uremia, the peritoneum, and as potential biomarkers in peritoneal dialysis.

show abstract

“…This research uses images of wound healing assays from a database containing 400 images acquired by three investigators from two independent laboratories. Cell lines were cultured according to (Favretto et al, 2021). Images of human endothelial cell lines EA.hy926 (ATCC®CRL2922, Manassas, VA, USA) were acquired with a DEM35 digital eye-piece for microscope (0.3 Mpixels, MiniSee Software, magnification of 5 X, SCOPETEK, Hangzhou, China) with a 4 X microscope magnification (OPTIPHASE Inverted microscope, Los Angeles, USA).…”

Section: Datasetmentioning

confidence: 99%

A method based on pix2pix to attenuate bias in the analysis of wound healing assays

Schiefer

Santos

Cunha

et al. 2022

RSD

Self Cite

View full text Add to dashboard Cite

The advances of new technologies in the machine learning area have led to the development of conditional generative adversarial networks with the direct use of images, such as is the case of the pix2pix model. A potential application for the pix2pix model discussed in this work is the analysis of images of wound healing or scratch assays that are widely used to evaluate in vitro cell migration. The most common way to evaluate the results of the wound healing assay is by manually detecting the wound area in the image, separating the empty area and the area occupied by cells, during 24, 48 or even 72 h. Although this procedure has for long been presented in the literature, it has been indicated that it lacks objectivity, it is time-consuming, and it leads to data misinterpretation. In an attempt to overcome the lack of robustness and consistency showed by the manual evaluation, this work aims to implement a method based on pix2pix to reduce bias in wound healing analysis, while introducing a new point of view of the images analysis. Manually introduced bias in the image processing algorithm presented deviations of up to 15 % when slightly varying a single variable, while the image processing performed by the model resulted in deviations mostly within 6 % when compared with manual analysis.

show abstract

Uremic endothelial-derived extracellular vesicles: Mechanisms of formation and their role in cell adhesion, cell migration, inflammation, and oxidative stress

Cited by 11 publications

References 29 publications

Serum fetuin-A as a perdictive biomarker of chronic kidney disease

Serum fetuin-A as a perdictive biomarker of chronic kidney disease

Extracellular Vesicles and Their Relationship with the Heart–Kidney Axis, Uremia and Peritoneal Dialysis

A method based on pix2pix to attenuate bias in the analysis of wound healing assays

Contact Info

Product

Resources

About