Literature DB >> 24114878

Identification of metabolomic biomarkers for drug-induced acute kidney injury in rats.

Takeki Uehara1, Akira Horinouchi, Yuji Morikawa, Yutaka Tonomura, Keiichi Minami, Atsushi Ono, Jyoji Yamate, Hiroshi Yamada, Yasuo Ohno, Tetsuro Urushidani.   

Abstract

Nephrotoxicity is a common side effect observed during both nonclinical and clinical drug development investigations. The present study aimed to identify metabolomic biomarkers that could provide early and sensitive indication of nephrotoxicity in rats. Metabolomic analyses were performed using capillary electrophoresis-time-of-flight mass spectrometry on rat plasma collected at 9 and 24 h after a single dose of 2-bromoethylamine or n-phenylanthranilic acid and at 24 h after 7 days of repeated doses of gentamicin, cyclosporine A or cisplatin. Among a total of 169 metabolites identified, 3-methylhistidine (3-MH), 3-indoxyl sulfate (3-IS) and guanidoacetate (GAA) were selected as candidate biomarkers. The biological significance and reproducibility of the observed changes were monitored over time in acute nephrotoxicity model rats treated with a single dose of cisplatin, with the glomerular filtration rate monitored by determination of creatinine clearance. Increased plasma levels of 3-MH and 3-IS were related to a decline in glomerular filtration due to a renal failure. In contrast, the decrease in plasma GAA, which is synthesized from arginine and glycine in the kidneys, was considered to reflect decreased production due to renal malfunction. Although definitive validation studies are required to confirm their usefulness and reliability, 3-MH, 3-IS and GAA may prove to be valuable plasma biomarkers for monitoring nephrotoxicity in rats.
Copyright © 2013 John Wiley & Sons, Ltd.

Entities:  

Keywords:  3-indoxyl sulfate; 3-methylhistidine; acute kidney injury; guanidoacetate; metabolomics; nephrotoxicity; rat

Mesh:

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Year:  2013        PMID: 24114878     DOI: 10.1002/jat.2933

Source DB:  PubMed          Journal:  J Appl Toxicol        ISSN: 0260-437X            Impact factor:   3.446


  16 in total

1.  Early lipid changes in acute kidney injury using SWATH lipidomics coupled with MALDI tissue imaging.

Authors:  Sangeetha Rao; Kelly B Walters; Landon Wilson; Bo Chen; Subhashini Bolisetty; David Graves; Stephen Barnes; Anupam Agarwal; Janusz H Kabarowski
Journal:  Am J Physiol Renal Physiol       Date:  2016-02-24

2.  Metabolomics for the early detection of cisplatin-induced nephrotoxicity.

Authors:  Takeshi Ezaki; Shin Nishiumi; Takeshi Azuma; Masaru Yoshida
Journal:  Toxicol Res (Camb)       Date:  2017-08-29       Impact factor: 3.524

3.  Genome-Scale Model-Based Identification of Metabolite Indicators for Early Detection of Kidney Toxicity.

Authors:  Venkat R Pannala; Kalyan C Vinnakota; Shanea K Estes; Irina Trenary; Tracy P OˈBrien; Richard L Printz; Jason A Papin; Jaques Reifman; Tatsuya Oyama; Masakazu Shiota; Jamey D Young; Anders Wallqvist
Journal:  Toxicol Sci       Date:  2020-02-01       Impact factor: 4.849

Review 4.  Metabolomics and renal disease.

Authors:  Eugene P Rhee
Journal:  Curr Opin Nephrol Hypertens       Date:  2015-07       Impact factor: 2.894

5.  NMR-based urine metabolic profiling and immunohistochemistry analysis of nephron changes in a mouse model of hypoxia-induced acute kidney injury.

Authors:  Tafadzwa Chihanga; Hannah N Ruby; Qing Ma; Sabina Bashir; Prasad Devarajan; Michael A Kennedy
Journal:  Am J Physiol Renal Physiol       Date:  2018-07-11

6.  Open TG-GATEs: a large-scale toxicogenomics database.

Authors:  Yoshinobu Igarashi; Noriyuki Nakatsu; Tomoya Yamashita; Atsushi Ono; Yasuo Ohno; Tetsuro Urushidani; Hiroshi Yamada
Journal:  Nucleic Acids Res       Date:  2014-10-13       Impact factor: 16.971

7.  Metabolic profiling of liver and faeces in mice infected with echinococcosis.

Authors:  Mingxing Zhu; Xiancai Du; Hongxia Xu; Songhao Yang; Chan Wang; Yazhou Zhu; Tingrui Zhang; Wei Zhao
Journal:  Parasit Vectors       Date:  2021-06-14       Impact factor: 3.876

8.  Changes in metabolic profiles during acute kidney injury and recovery following ischemia/reperfusion.

Authors:  Qingqing Wei; Xiao Xiao; Paul Fogle; Zheng Dong
Journal:  PLoS One       Date:  2014-09-05       Impact factor: 3.240

9.  Nuclear Magnetic Resonance Metabolomic Profiling of Mouse Kidney, Urine and Serum Following Renal Ischemia/Reperfusion Injury.

Authors:  François Jouret; Justine Leenders; Laurence Poma; Jean-Olivier Defraigne; Jean-Marie Krzesinski; Pascal de Tullio
Journal:  PLoS One       Date:  2016-09-22       Impact factor: 3.240

Review 10.  The potential use of biomarkers in predicting contrast-induced acute kidney injury.

Authors:  Michele Andreucci; Teresa Faga; Eleonora Riccio; Massimo Sabbatini; Antonio Pisani; Ashour Michael
Journal:  Int J Nephrol Renovasc Dis       Date:  2016-09-09
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