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Interstitial Cystitis-Associated Urinary Metabolites Identified by Mass-Spectrometry Based Metabolomics Analysis

This study on interstitial cystitis (IC) aims to identify a unique urine metabolomic profile associated with IC, which can be defined as an unpleasant sensation including pain and discomfort related to the urinary bladder, without infection or other identifiable causes. Although the burden of IC on...

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Autores principales: Kind, Tobias, Cho, Eunho, Park, Taeeun D., Deng, Nan, Liu, Zhenqiu, Lee, Tack, Fiehn, Oliver, Kim, Jayoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5156939/
https://www.ncbi.nlm.nih.gov/pubmed/27976711
http://dx.doi.org/10.1038/srep39227
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author Kind, Tobias
Cho, Eunho
Park, Taeeun D.
Deng, Nan
Liu, Zhenqiu
Lee, Tack
Fiehn, Oliver
Kim, Jayoung
author_facet Kind, Tobias
Cho, Eunho
Park, Taeeun D.
Deng, Nan
Liu, Zhenqiu
Lee, Tack
Fiehn, Oliver
Kim, Jayoung
author_sort Kind, Tobias
collection PubMed
description This study on interstitial cystitis (IC) aims to identify a unique urine metabolomic profile associated with IC, which can be defined as an unpleasant sensation including pain and discomfort related to the urinary bladder, without infection or other identifiable causes. Although the burden of IC on the American public is immense in both human and financial terms, there is no clear diagnostic test for IC, but rather it is a disease of exclusion. Very little is known about the clinically useful urinary biomarkers of IC, which are desperately needed. Untargeted comprehensive metabolomic profiling was performed using gas-chromatography/mass-spectrometry to compare urine specimens of IC patients or health donors. The study profiled 200 known and 290 unknown metabolites. The majority of the thirty significantly changed metabolites before false discovery rate correction were unknown compounds. Partial least square discriminant analysis clearly separated IC patients from controls. The high number of unknown compounds hinders useful biological interpretation of such predictive models. Given that urine analyses have great potential to be adapted in clinical practice, research has to be focused on the identification of unknown compounds to uncover important clues about underlying disease mechanisms.
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spelling pubmed-51569392016-12-20 Interstitial Cystitis-Associated Urinary Metabolites Identified by Mass-Spectrometry Based Metabolomics Analysis Kind, Tobias Cho, Eunho Park, Taeeun D. Deng, Nan Liu, Zhenqiu Lee, Tack Fiehn, Oliver Kim, Jayoung Sci Rep Article This study on interstitial cystitis (IC) aims to identify a unique urine metabolomic profile associated with IC, which can be defined as an unpleasant sensation including pain and discomfort related to the urinary bladder, without infection or other identifiable causes. Although the burden of IC on the American public is immense in both human and financial terms, there is no clear diagnostic test for IC, but rather it is a disease of exclusion. Very little is known about the clinically useful urinary biomarkers of IC, which are desperately needed. Untargeted comprehensive metabolomic profiling was performed using gas-chromatography/mass-spectrometry to compare urine specimens of IC patients or health donors. The study profiled 200 known and 290 unknown metabolites. The majority of the thirty significantly changed metabolites before false discovery rate correction were unknown compounds. Partial least square discriminant analysis clearly separated IC patients from controls. The high number of unknown compounds hinders useful biological interpretation of such predictive models. Given that urine analyses have great potential to be adapted in clinical practice, research has to be focused on the identification of unknown compounds to uncover important clues about underlying disease mechanisms. Nature Publishing Group 2016-12-15 /pmc/articles/PMC5156939/ /pubmed/27976711 http://dx.doi.org/10.1038/srep39227 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Kind, Tobias
Cho, Eunho
Park, Taeeun D.
Deng, Nan
Liu, Zhenqiu
Lee, Tack
Fiehn, Oliver
Kim, Jayoung
Interstitial Cystitis-Associated Urinary Metabolites Identified by Mass-Spectrometry Based Metabolomics Analysis
title Interstitial Cystitis-Associated Urinary Metabolites Identified by Mass-Spectrometry Based Metabolomics Analysis
title_full Interstitial Cystitis-Associated Urinary Metabolites Identified by Mass-Spectrometry Based Metabolomics Analysis
title_fullStr Interstitial Cystitis-Associated Urinary Metabolites Identified by Mass-Spectrometry Based Metabolomics Analysis
title_full_unstemmed Interstitial Cystitis-Associated Urinary Metabolites Identified by Mass-Spectrometry Based Metabolomics Analysis
title_short Interstitial Cystitis-Associated Urinary Metabolites Identified by Mass-Spectrometry Based Metabolomics Analysis
title_sort interstitial cystitis-associated urinary metabolites identified by mass-spectrometry based metabolomics analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5156939/
https://www.ncbi.nlm.nih.gov/pubmed/27976711
http://dx.doi.org/10.1038/srep39227
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