Bacterial classification based on metagenomic analysis in peritoneal dialysis effluent of patients with chronic kidney disease.
16S ribosomal DNA
bacteria
metagenomic
nanopore sequencing
peritoneal dialysis
Journal
Biomedical reports
ISSN: 2049-9442
Titre abrégé: Biomed Rep
Pays: England
ID NLM: 101613227
Informations de publication
Date de publication:
Jul 2024
Jul 2024
Historique:
received:
15
02
2024
accepted:
30
04
2024
medline:
27
5
2024
pubmed:
27
5
2024
entrez:
27
5
2024
Statut:
epublish
Résumé
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
Identifiants
pubmed: 38800037
doi: 10.3892/br.2024.1790
pii: BR-21-1-01790
pmc: PMC11117105
doi:
Types de publication
Journal Article
Langues
eng
Pagination
102Informations de copyright
Copyright: © 2024 Visedthorn et al.
Déclaration de conflit d'intérêts
The authors declare that they have no competing interests.