Recommendations for pathological diagnosis on biopsy samples from peritoneal dialysis patients

Kawanishi, Kunio; Honda, Kazuho; Hamada, Chikuma

doi:10.1515/pp-2016-0028

Cited by 11 publications

(9 citation statements)

References 104 publications

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“…in PD. Currently, biopsy is a golden standard to evaluate peritoneal changes in humans, which can be limited by size and sampling positions of the evaluated regions [26,27]. Although it was recently demonstrated that an ultrasound based examination of peritoneal membrane thickness is possible [28], it is inaccurate and requires experienced personnel.…”

Section: Discussionmentioning

confidence: 99%

Hyperspectral evaluation of peritoneal fibrosis in mouse models

Stergar¹,

Dolenec²,

Kojc³

et al. 2020

Biomed. Opt. Express

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Analysis of morphological changes of the peritoneal membrane is an essential part of animal studies when investigating molecular mechanisms involved in the development of peritoneal fibrosis or testing the effects of potential therapeutic agents. Current methods, such as histology and immunohistochemistry, require time consuming sample processing and analysis and result in limited spatial information. In this paper we present a new method to evaluate structural and chemical changes in an animal model of peritoneal fibrosis that is based on hyperspectral imaging and a model of light transport. The method is able to distinguish between healthy and diseased subjects based on morphological as well as physiological parameters such as blood and scattering parameters. Furthermore, it enables evaluation of changes, such as degree of inflammation and fibrosis, that are closely related to histological findings.

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Section: Discussionmentioning

confidence: 99%

Hyperspectral evaluation of peritoneal fibrosis in mouse models

Stergar¹,

Dolenec²,

Kojc³

et al. 2020

Biomed. Opt. Express

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“…[2][3][4][5] The main characteristics of chronic peritoneal injury include loss of mesothelial cells, submesothelial thickness, accumulation of extracellular matrix and neoangiogenesis, which ultimately lead to ultrafiltration failure (UFF). 4,6 Therefore, it is necessary to explore effective methods for the early assessment of peritoneal injury and dysfunction.…”

Section: Introductionmentioning

confidence: 99%

Effluent decoy receptor 2 as a novel biomarker of peritoneal fibrosis in peritoneal dialysis patients

et al. 2022

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Background: Peritoneal fibrosis (PF) is a common complication of peritoneal dialysis (PD), but a specific and sensitive biomarker for PF is lacking. The present study aimed to determine the use of effluent decoy receptor 2 (eDcR2) as a biomarker for PF in PD patients. Methods: PD patients ( n = 248) were recruited, and peritoneal specimens were collected at PD initiation ( n = 30) and cessation ( n = 33). Enzyme-linked immunoassay was used to measure eDcR2 and the eDcR2 appearance rate (eDcR2-AR) was calculated. The levels of DcR2 mRNA and protein were determined. The correlation of eDcR2 level with peritoneal function, histological parameters and DcR2 expression were analysed. Receiver operating characteristic (ROC) analysis was used to assess the diagnostic performance of eDcR2 for PF, which was defined as a submesothelial thickness 150 µm or more. Co-localisation of DcR2 with a mesothelial marker, fibroblast markers and fibrotic markers were determined. Results: The eDcR2-AR level correlated with PD duration, D/P Cr values, peritoneal Kt/V and peritoneal injury scores, especially submesothelial thickness ( r = 0.638, p < 0.001). DcR2 was primarily expressed in peritoneal fibroblasts, and co-localised with α-SMA, vimentin, collagen I and fibronectin, but not with E-cadherin. Peritoneal DcR2 expression had a positive correlation with eDcR2-AR. ROC analysis indicated eDcR2 had an area under the curve of 0.907 for detection of PF (sensitivity: 78.6%, specificity: 100%) and the best cut-off value was 392.5 pg/min. Conclusion: The eDcR2-AR level is a potential biomarker for assessing PF in PD patients. Effluent DcR2 was mainly derived from peritoneal fibroblasts and DcR2-positive cells may accelerate PF, suggesting that it may be a potential therapeutic target.

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“…Considering that ultrafiltration failure occurs only in the advanced stages of peritoneal fibrosis, PET data in clinical practice might be available too late to monitor peritoneal function. Although invasive peritoneal biopsy could be used for the pathological diagnosis of PD-related peritoneal injury, the results do not reflect global peritoneal structural changes [ 9 , 10 ]. Thus, it is highly desirable to establish suitable biomarkers and therapeutic targets for disease progress prediction and to allow patients to improve their survival during long-term PD.…”

Section: Introductionmentioning

confidence: 99%

Differentially Expressed microRNAs in Peritoneal Dialysis Effluent-Derived Exosomes from the Patients with Ultrafiltration Failure

Cheng

et al. 2022

Genetics Research

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Background. Ultrafiltration failure remains one of the most severe complications of long-term peritoneal dialysis (PD), which results in death. This study aimed to characterize the circulating exosomal microRNA (miRNA) profiles associated with ultrafiltration failure and explore its underlying mechanisms. Methods. Exosomes were isolated from the peritoneal dialysis effluent (PDE) of patients with ultrafiltration failure or success using the ultracentrifugation method, and then transmission electron microscopy (TEM), nanoparticle tracking analysis (NTA), and western blot were used for exosome characterization. After that, the isolated exosomes were sent for small RNA sequencing, and eight differentially expressed miRNAs (DE-miRNAs) were chosen for RT-qPCR validation. Results. TEM, NTA, and western blot revealed that exosomes were successfully isolated. After sequencing, 70 DE-miRNAs involved in ultrafiltration were identified, including 41 upregulated ones and 29 downregulated ones. Functional analyses revealed that these DE-miRNAs were significantly enriched in pathways of cancer, ubiquitin-mediated proteolysis, axon orientation, and the Rap1 and Ras signaling pathways. In addition, the consistency rate of RT-qPCR and sequencing results was 75%, which indicated the relatively high reliability of the sequencing data. Conclusions. Our findings implied that these DE-miRNAs may be potential biomarkers of ultrafiltration failure, which would help us to discover novel therapeutic targets/pathways for ultrafiltration failure in patients with end-stage renal disease.

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Recommendations for pathological diagnosis on biopsy samples from peritoneal dialysis patients

Cited by 11 publications

References 104 publications

Hyperspectral evaluation of peritoneal fibrosis in mouse models

Hyperspectral evaluation of peritoneal fibrosis in mouse models

Effluent decoy receptor 2 as a novel biomarker of peritoneal fibrosis in peritoneal dialysis patients

Differentially Expressed microRNAs in Peritoneal Dialysis Effluent-Derived Exosomes from the Patients with Ultrafiltration Failure

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