Bacterial classification based on metagenomic analysis in peritoneal dialysis effluent of patients with chronic kidney disease
Issued Date
2024-07-01
Resource Type
ISSN
20499434
eISSN
20499442
Scopus ID
2-s2.0-85196518895
Journal Title
Biomedical Reports
Volume
21
Issue
1
Rights Holder(s)
SCOPUS
Bibliographic Citation
Biomedical Reports Vol.21 No.1 (2024)
Suggested Citation
Visedthorn S., Klomkliew P., Sawaswong V., Sivapornnukul P., Chanchaem P., Saejew T., Pavatung P., Kanjanabuch T., Payungporn S. Bacterial classification based on metagenomic analysis in peritoneal dialysis effluent of patients with chronic kidney disease. Biomedical Reports Vol.21 No.1 (2024). doi:10.3892/br.2024.1790 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/99155
Title
Bacterial classification based on metagenomic analysis in peritoneal dialysis effluent of patients with chronic kidney disease
Corresponding Author(s)
Other Contributor(s)
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 Escherichia coli, Phyllobacterium myrsinacearum, Streptococcus gallolyticus, Staphylococcus epidermidis and Shewanella algae, were observed in PDE samples. Taken together, the findings of the present study have suggested that this metagenomic approach could provide a greater potential for bacterial taxonomic identification compared with traditional culture methods, suggesting that this is a practical and culture-independent alternative approach that will offer a novel preventative infectious strategy in patients with CDK.