ArticleBiomedical reports2024
Bacterial classification based on metagenomic analysis in peritoneal dialysis effluent of patients with chronic kidney disease.
Article in Biomedical reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Bacterial metagenomic analysis of patients with chronic kidney disease undergoing hemodialysis based on 16S rDNA amplicon sequencing.Biomedical reports · 2026Article
- Nanopore 16S-Full Length and ITS Sequencing for Microbiota Identification in Intra-Abdominal Infections.Diagnostics (Basel, Switzerland) · 2025Article
- Article
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9 authors.
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Abstract
End-stage kidney disease (ESKD) is the final stage of chronic kidney disease (CKD), in which long-term damage has been caused to the kidneys to the extent that they are no longer able to filter the blood of waste and extra fluid. Peritoneal dialysis (PD) is one of the treatments that remove waste products from the blood through the peritoneum which can improve the quality of life for patients with ESKD. However, PD-associated peritonitis is an important complication that contributes to the mortality of patients, and the detection of bacterial pathogens is associated with a high culture-negative rate. The present study aimed to apply a metagenomic approach for the bacterial identification in the PD effluent (PDE) of patients with CKD based on 16S ribosomal DNA sequencing. As a result of this investigation, five major bacteria species, namely
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