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Urine metabolomics in rats after administration of ketamine

Authors Wen C, Zhang M, Ma J, Hu L, Wang X, Lin G

Received 3 November 2014

Accepted for publication 25 November 2014

Published 3 February 2015 Volume 2015:9 Pages 717—722

DOI https://doi.org/10.2147/DDDT.S76898

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Prof. Dr. Wei Duan


Congcong Wen,1 Meiling Zhang,2 Jianshe Ma,2 Lufeng Hu,3 Xianqin Wang,2 Guanyang Lin3

1Laboratory Animal Centre, 2Analytical and Testing Center, 3First Affiliated Hospital of Wenzhou Medical University, Wenzhou, People’s Republic of China

Abstract: In this study, we developed a urine metabonomic method, based on gas chromatography–mass spectrometry (GC-MS), to evaluate the effect of ketamine on rats. Pattern recognition analysis, including both principal component analysis and partial least squares discriminate analysis revealed that ketamine (50 mg/kg) induced metabolic perturbations. Compared with the control group, at day 7, the level of alanine, butanoic acid, glutamine, butanedioic, trimethylsiloxy, L-aspartic acid, D-glucose, cholesterol, acetamide, and oleic acid of the ketamine group was increased, while the level of 2,3,4-trihydroxybutyric acid, benzene­acetic acid, threitol, ribitol, xylitol, and glycine decreased. At day 14, the level of alanine, ethanedioic acid, L-proline, glycerol, tetradecanoic acid, l-serine, l-phenylalanine, L-aspartic acid, d-glucose, cholesterol, heptadecanoic acid, and acetamide in rat urine of the ketamine group was increased, while the 2,3,4-trihydroxybutyric acid, benzeneacetic acid, d-ribose, threitol, ribitol, glycine, pyrazine, and oleic acid levels decreased. Our results indicate that metabonomic methods based on GC-MS may be useful to elucidate ketamine abuse, through the exploration of biomarkers.

Keywords: GC-MS, abuse, biomarker, metabolite

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