Proteomic Research in Peritoneal Dialysis.
biomarker
end-stage renal disease
peritoneal dialysis
peritoneal dialysis effluent
peritoneum
proteomics
Journal
International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791
Informations de publication
Date de publication:
31 Jul 2020
31 Jul 2020
Historique:
received:
30
06
2020
revised:
21
07
2020
accepted:
29
07
2020
entrez:
6
8
2020
pubmed:
6
8
2020
medline:
23
2
2021
Statut:
epublish
Résumé
Peritoneal dialysis (PD) is an established home care, cost-effective renal replacement therapy (RRT), which offers several advantages over the most used dialysis modality, hemodialysis. Despite its potential benefits, however, PD is an under-prescribed method of treating uremic patients. Infectious complications (primarily peritonitis) and bio-incompatibility of PD solutions are the main contributors to PD drop-out, due to their potential for altering the functional and anatomical integrity of the peritoneal membrane. To improve the clinical outcome of PD, there is a need for biomarkers to identify patients at risk of PD-related complications and to guide personalized interventions. Several recent studies have shown that proteomic investigation may be a powerful tool in the prediction, early diagnosis, prognostic assessment, and therapeutic monitoring of patients on PD. Indeed, analysis of the proteome present in PD effluent has uncovered several proteins involved in inflammation and pro-fibrotic insult, in encapsulating peritoneal sclerosis, or even in detecting early changes before any measurable modifications occur in the traditional clinical parameters used to evaluate PD efficacy. We here review the proteomic studies conducted thus far, addressing the potential use of such omics methodology in identifying potential new biomarkers of the peritoneal membrane welfare in relation to dialytic prescription and adequacy.
Identifiants
pubmed: 32752018
pii: ijms21155489
doi: 10.3390/ijms21155489
pmc: PMC7432538
pii:
doi:
Substances chimiques
Biomarkers
0
Proteome
0
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
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