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Mass spectrometry-based metabolomics for irritable bowel syndrome biomarkers
BACKGROUND: Irritable bowel syndrome (IBS) is a common gastrointestinal disorder without obvious structural abnormalities or consistent associated biomarkers, making its diagnosis difficult. In the present study, we used a urine-based metabolomics approach to identify IBS biomarkers. METHODS: We use...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832300/ https://www.ncbi.nlm.nih.gov/pubmed/35154385 http://dx.doi.org/10.1177/1756284819886425 |
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author | Yu, Qihong Liu, Xinru Huang, Haojie Zheng, Xingfeng Pan, Xue Fang, Junwei Meng, Liyuan Zhou, Chunhua Zhang, Xiaocui Li, Zhaoshen Zou, Duowu |
author_facet | Yu, Qihong Liu, Xinru Huang, Haojie Zheng, Xingfeng Pan, Xue Fang, Junwei Meng, Liyuan Zhou, Chunhua Zhang, Xiaocui Li, Zhaoshen Zou, Duowu |
author_sort | Yu, Qihong |
collection | PubMed |
description | BACKGROUND: Irritable bowel syndrome (IBS) is a common gastrointestinal disorder without obvious structural abnormalities or consistent associated biomarkers, making its diagnosis difficult. In the present study, we used a urine-based metabolomics approach to identify IBS biomarkers. METHODS: We used an ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) on urine samples from patients suffering from IBS and healthy controls. Data were coupled for multivariate statistical analysis methods. RESULTS: We selected 30 differential metabolites associated with IBS and found steroid hormone biosynthesis and histidine metabolism alterations in patients with IBS that may be involved in the pathogenesis of the disease. In addition, we identified a panel of five metabolite markers composed of cortisone, citric acid, tiglylcarnitine, N6,-N6,-N6-trimethyl-L-lysine and L-histidine that could be used to discriminate between patients and healthy controls and may be appropriate as IBS diagnosis biomarkers. CONCLUSION: Our findings indicate that metabolomics combined with pattern recognition can be useful to identify disease diagnostic IBS markers. CLINICAL TRIAL REGISTRATION: ChiCTR1800020072 |
format | Online Article Text |
id | pubmed-8832300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-88323002022-02-12 Mass spectrometry-based metabolomics for irritable bowel syndrome biomarkers Yu, Qihong Liu, Xinru Huang, Haojie Zheng, Xingfeng Pan, Xue Fang, Junwei Meng, Liyuan Zhou, Chunhua Zhang, Xiaocui Li, Zhaoshen Zou, Duowu Therap Adv Gastroenterol Original Research BACKGROUND: Irritable bowel syndrome (IBS) is a common gastrointestinal disorder without obvious structural abnormalities or consistent associated biomarkers, making its diagnosis difficult. In the present study, we used a urine-based metabolomics approach to identify IBS biomarkers. METHODS: We used an ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) on urine samples from patients suffering from IBS and healthy controls. Data were coupled for multivariate statistical analysis methods. RESULTS: We selected 30 differential metabolites associated with IBS and found steroid hormone biosynthesis and histidine metabolism alterations in patients with IBS that may be involved in the pathogenesis of the disease. In addition, we identified a panel of five metabolite markers composed of cortisone, citric acid, tiglylcarnitine, N6,-N6,-N6-trimethyl-L-lysine and L-histidine that could be used to discriminate between patients and healthy controls and may be appropriate as IBS diagnosis biomarkers. CONCLUSION: Our findings indicate that metabolomics combined with pattern recognition can be useful to identify disease diagnostic IBS markers. CLINICAL TRIAL REGISTRATION: ChiCTR1800020072 SAGE Publications 2019-11-07 /pmc/articles/PMC8832300/ /pubmed/35154385 http://dx.doi.org/10.1177/1756284819886425 Text en © The Author(s), 2019 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Yu, Qihong Liu, Xinru Huang, Haojie Zheng, Xingfeng Pan, Xue Fang, Junwei Meng, Liyuan Zhou, Chunhua Zhang, Xiaocui Li, Zhaoshen Zou, Duowu Mass spectrometry-based metabolomics for irritable bowel syndrome biomarkers |
title | Mass spectrometry-based metabolomics for irritable bowel syndrome
biomarkers |
title_full | Mass spectrometry-based metabolomics for irritable bowel syndrome
biomarkers |
title_fullStr | Mass spectrometry-based metabolomics for irritable bowel syndrome
biomarkers |
title_full_unstemmed | Mass spectrometry-based metabolomics for irritable bowel syndrome
biomarkers |
title_short | Mass spectrometry-based metabolomics for irritable bowel syndrome
biomarkers |
title_sort | mass spectrometry-based metabolomics for irritable bowel syndrome
biomarkers |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832300/ https://www.ncbi.nlm.nih.gov/pubmed/35154385 http://dx.doi.org/10.1177/1756284819886425 |
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