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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/172743

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Title
Development of a non-targeted metabolomics method to investigate urine in a rat model of polycystic kidney disease
Related
Nephrology, Vol. 17, Issue 2, (2012), p.104-110
DOI
10.1111/j.1440-1797.2011.01532.x
Publisher
Wiley-Blackwell Publishing
Date
2012
Author/Creator
Abbiss, Hayley
Author/Creator
Maker, Garth L
Author/Creator
Gummer, Joel
Author/Creator
Sharman, Matthew J
Author/Creator
Phillips, Jaqueline K
Author/Creator
Boyce, Mary
Author/Creator
Trengove, Robert D
Description
Aim: The purpose of this research was to use metabolomics to investigate the cystic phenotype in the Lewis polycystic kidney rat. Methods: Spot urine samples were collected from four male Lewis control and five male Lewis polycystic kidney rats aged 5 weeks, before kidney function was significantly impaired. Metabolites were extracted from urine and analysed using gas chromatography-mass spectrometry. Principal component analysis was used to determine key metabolites contributing to the variance observed between sample groups. Results: With the development of a metabolomics method to analyse Lewis and Lewis polycystic kidney rat urine, 2-ketoglutaric acid, allantoin, uric acid and hippuric acid were identified as potential biomarkers of cystic disease in the rat model. Conclusion: The findings of this study demonstrate the potential of metabolomics to further investigate kidney disease. This paper reports on a method for non-targeted metabolite profiling of rat urine, using the approach to investigate the cystic phenotype of the Lewis polycystic kidney rat. The findings of this study demonstrate the potential of metabolomics to investigate kidney disease.
Description
7 page(s)
Subject Keyword
biomarker
Subject Keyword
gas chromatography
Subject Keyword
metabolite
Subject Keyword
polycystic kidney disease
Subject Keyword
urine
Resource Type
journal article
Organisation
Macquarie University. Australian School of Advanced Medicine

Identifier
http://hdl.handle.net/1959.14/172743
Identifier
ISSN:1320-5358
Identifier
mq_res-ext-2-s2.0-84856151642
Language
eng
Reviewed
Reviewed
Save/E-mail Citation
Citation Format
E-mail Address
Subject
"Nephrology"
 
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