Issue 11, 2011

Metabolomic analysis characterizes tissue specific indomethacin-induced metabolic perturbations of rats

Abstract

In this study, the promising metabolomic approach integrating with ingenuity pathway analysis (IPA) was applied to characterize the tissue specific metabolic perturbation of rats that was induced by indomethacin. The selective pattern recognition analyses were applied to analyze global metabolic profiling of urine of rats treated by indomethacin at an acute dosage of reference that has been proven to induce tissue disorders in rats, evaluated throughout the time-course of −24–72 h. The results preliminarily revealed that modifications of amino acid metabolism, fatty acid metabolism and energetically associated metabolic pathways accounted for metabolic perturbation of the rats that was induced by indomethacin. Furthermore, IPA was applied to deeply analyze the biomarkers and their relations with the metabolic perturbations evidenced by pattern recognition analyses. Specific biochemical functions affected by indomethacin suggested that there is an important correlation of its effects in kidney and liver metabolism, based on the determined metabolites and their pathway-based analysis. The IPA correlation of the three major biomarkers, identified as creatinine, prostaglandin E2 and guanosine, suggested that the administration of indomethacin induced certain levels of toxicity in the kidneys and liver. The changes in the levels of biomarker metabolites allowed the phenotypical determination of the metabolic perturbations induced by indomethacin in a time-dependent manner.

Graphical abstract: Metabolomic analysis characterizes tissue specific indomethacin-induced metabolic perturbations of rats

Supplementary files

Article information

Article type
Paper
Submitted
16 Feb 2011
Accepted
14 Mar 2011
First published
11 Apr 2011

Analyst, 2011,136, 2260-2269

Metabolomic analysis characterizes tissue specific indomethacin-induced metabolic perturbations of rats

H. Lv, L. Liu, G. Palacios and X. Chen, Analyst, 2011, 136, 2260 DOI: 10.1039/C1AN15126F

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