Metabolomics Approaches for the Diagnosis and Understanding of Kidney Diseases
- PMID: 30769897
- PMCID: PMC6410198
- DOI: 10.3390/metabo9020034
Metabolomics Approaches for the Diagnosis and Understanding of Kidney Diseases
Abstract
Diseases of the kidney are difficult to diagnose and treat. This review summarises the definition, cause, epidemiology and treatment of some of these diseases including chronic kidney disease, diabetic nephropathy, acute kidney injury, kidney cancer, kidney transplantation and polycystic kidney diseases. Numerous studies have adopted a metabolomics approach to uncover new small molecule biomarkers of kidney diseases to improve specificity and sensitivity of diagnosis and to uncover biochemical mechanisms that may elucidate the cause and progression of these diseases. This work includes a description of mass spectrometry-based metabolomics approaches, including some of the currently available tools, and emphasises findings from metabolomics studies of kidney diseases. We have included a varied selection of studies (disease, model, sample number, analytical platform) and focused on metabolites which were commonly reported as discriminating features between kidney disease and a control. These metabolites are likely to be robust indicators of kidney disease processes, and therefore potential biomarkers, warranting further investigation.
Keywords: acute kidney injury; biomarker; chromatography; chronic kidney disease; diabetic nephropathy; kidney cancer; kidney disease; kidney transplantation; mass spectrometry; metabolomics; polycystic kidney disease.
Conflict of interest statement
The authors declare no conflict of interest.
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References
-
- Moyes C.D., Schulte P.M. Principles of Animal Physiology. 2nd ed. Benjamin Cummings; San Francisco, CA, USA: 2008.
-
- Cass A., Chadban S., Gallagher M., Howard K., Jones A., McDonald S., Snelling P., White S. The Economic Impact of End-Stage Kidney Disease in Australia Projections to 2020. [(accessed on 7 February 2019)]; Available online: https://kidney.org.au/cms_uploads/docs/kha-economic-impact-of-eskd-in-au....
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