Urine and serum NMR-based metabolomics in pre-procedural prediction of contrast-induced nephropathy

Dalili, N ; Sharif University of Technology | 2020

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  1. Type of Document: Article
  2. DOI: 10.1007/s11739-019-02128-x
  3. Publisher: Springer , 2020
  4. Abstract:
  5. Contrast induced nephropathy (CIN) has been reported to be the third foremost cause of acute renal failure. Metabolomics is a robust technique that has been used to identify potential biomarkers for the prediction of renal damage. We aim to analyze the serum and urine metabolites changes, before and after using contrast for coronary angiography, to determine if metabolomics can predict early development of CIN. 66 patients undergoing elective coronary angiography were eligible for enrollment. Urine and serum samples were collected prior to administration of CM and 72 h post procedure and analyzed by nuclear magnetic resonance. The significant differential metabolites between patients who develop CIN and patients who have stable renal function after angiography were identified using U test and receiver operating characteristic analysis was performed for each metabolite candidate. Potential susceptible pathways to cytotoxic effect of CM were investigated by pathway analysis. A predictive panel composed of six urinary metabolites had the best area under the curve. Glutamic acid, uridine diphosphate, glutamine and tyrosine were the most important serum predictive biomarkers. Several pathways related to amino acid and nicotinamide metabolism were suggested as impaired pathways in CIN prone patients. Changes exist in urine and serum metabolomics patterns in patients who do and do not develop CIN after coronary angiography hence metabolites may be potential predictive identifiers of CIN. © 2019, Società Italiana di Medicina Interna (SIMI)
  6. Keywords:
  7. Biomarker ; Contrast induced nephropathy ; Nuclear magnetic resonance ; Biological marker ; Contrast medium ; Acute kidney failure ; Adverse event ; Blood ; Human ; Nonparametric test ; Pathophysiology ; Receiver operating characteristic ; Urine ; Acute Kidney Injury ; Aged ; Biomarkers ; Contrast Media ; Diagnostic Imaging ; Female ; Humans ; Male ; Metabolomics ; Middle aged ; ROC Curve ; Statistics, Nonparametric
  8. Source: Internal and Emergency Medicine ; Volume 15, Issue 1 , 2020 , Pages 95-103
  9. URL: https://link.springer.com/article/10.1007/s11739-019-02128-x