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Renal Medulla is More Sensitive to Cisplatin Than Cortex Revealed by Untargeted Mass Spectrometry-Based Metabolomics in Rats

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Journal Sci Rep
Specialty Science
Date 2017 Mar 17
PMID 28300186
Citations 22
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Abstract

Nephrotoxicity has long been the most severe and life-threatening side-effect of cisplatin, whose anticancer effect is therefore restricted. Previous pathological studies have shown that both renal cortex and medulla could be injured by cisplatin. Our TUNEL (terminal deoxynucleotidyl transferase-mediated dUTP nick end-labeling) assay results further uncovered that medulla subjected more severe injury than cortex. In order to depict the underlying metabolic mechanism of spatial difference in response to cisplatin, in the present study, mass spectrometry-based untargeted metabolomics approach was applied to profile renal cortex and medulla metabolites of rat after receiving a single dose of cisplatin (2.5, 5 or 10 mg/kg). Eventually, 53 and 55 differential metabolites in cortex and medulla were screened out, respectively. Random forest, orthogonal partial least squares-discriminant analysis and metabolic cumulative fold change analysis revealed that metabolic changes in medulla were more obviously dose-dependent than those in cortex, which confirmed the conclusion that medulla was more sensitive to cisplatin exposure. Furthermore, 29 intermediates were recognized as the most contributive metabolites for the sensitivity difference. Metabolic pathways interrupted by cisplatin mainly included amino acid, energy, lipid, pyrimidine, purine, and creatine metabolism. Our findings provide new insight into the mechanism study of cisplatin-induced nephrotoxicity.

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References
1.
Kounis N, Cervellin G, Lippi G . Cisplatin-induced bradycardia: Cardiac toxicity or cardiac hypersensitivity and Kounis syndrome?. Int J Cardiol. 2015; 202:817-8. DOI: 10.1016/j.ijcard.2015.10.027. View

2.
Boudonck K, Mitchell M, Nemet L, Keresztes L, Nyska A, Shinar D . Discovery of metabolomics biomarkers for early detection of nephrotoxicity. Toxicol Pathol. 2009; 37(3):280-92. DOI: 10.1177/0192623309332992. View

3.
Stewart J, Bolt H . Cisplatin-induced nephrotoxicity. Arch Toxicol. 2012; 86(8):1155-6. DOI: 10.1007/s00204-012-0887-2. View

4.
Townsend D, Hanigan M . Inhibition of gamma-glutamyl transpeptidase or cysteine S-conjugate beta-lyase activity blocks the nephrotoxicity of cisplatin in mice. J Pharmacol Exp Ther. 2001; 300(1):142-8. PMC: 6522257. DOI: 10.1124/jpet.300.1.142. View

5.
Waissbluth S, Daniel S . Cisplatin-induced ototoxicity: transporters playing a role in cisplatin toxicity. Hear Res. 2013; 299:37-45. DOI: 10.1016/j.heares.2013.02.002. View