AI Article Synopsis
- Peritoneal dialysis (PD) is commonly used for adults and preferred for infants with end-stage renal disease but can harm the peritoneal membrane over time.
- Biomarkers from dialysis effluent, derived from omics technologies, could help predict or diagnose peritoneal membrane dysfunction, leading to better prognostic tools and potential treatments.
- This study reviews the impact of metabolomics on peritoneal health, analyzing nine studies which suggest that these technologies can identify dysfunction early and inform interventions to preserve membrane function.
Article Abstract
Peritoneal dialysis (PD) is an effective and frequent dialysis modality in adults, particularly preferred in infants and young children with end-stage renal disease (ESRD). Long-term exposure of the peritoneal membrane to dialysis solutions results in severe morphologic and functional alterations. Peritoneal dialysis effluent biomarkers are based on omics technologies, which could predict the onset or confirm the diagnosis of peritoneal membrane dysfunction, would allow the development of accurate early prognostic tools and, potentially, the identification of future therapeutic targets. The purpose of our study was to critically review the literature on the impact and the effectiveness of metabolomics technologies in peritoneal health. The main search was performed in electronic databases (PubMed/MEDLINE, Embase and Cochrane Central Register of Controlled Trials) from inception to December 2020, using various combinations of Medical Subject Headings (MeSH). The main search highlighted nine studies, of which seven were evaluated in detail. Metabolomics technologies may provide significant input in the recognition of peritoneal membrane dysfunction in PD patients and provide evidence of early intervention strategies that could protect peritoneum health and function.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879920 | PMC |
| http://dx.doi.org/10.3390/metabo12020145 | DOI Listing |
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