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Metabolic Evaluation of Urine from Patients Diagnosed with High Grade (HG) Bladder Cancer by SPME-LC-MS Method
Bladder cancer (BC) is a common malignancy of the urinary system and a leading cause of death worldwide. In this work, untargeted metabolomic profiling of biological fluids is presented as a non-invasive tool for bladder cancer biomarker discovery as a first step towards developing superior methods...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8068997/ https://www.ncbi.nlm.nih.gov/pubmed/33920347 http://dx.doi.org/10.3390/molecules26082194 |
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author | Łuczykowski, Kamil Warmuzińska, Natalia Operacz, Sylwia Stryjak, Iga Bogusiewicz, Joanna Jacyna, Julia Wawrzyniak, Renata Struck-Lewicka, Wiktoria Markuszewski, Michał J. Bojko, Barbara |
author_facet | Łuczykowski, Kamil Warmuzińska, Natalia Operacz, Sylwia Stryjak, Iga Bogusiewicz, Joanna Jacyna, Julia Wawrzyniak, Renata Struck-Lewicka, Wiktoria Markuszewski, Michał J. Bojko, Barbara |
author_sort | Łuczykowski, Kamil |
collection | PubMed |
description | Bladder cancer (BC) is a common malignancy of the urinary system and a leading cause of death worldwide. In this work, untargeted metabolomic profiling of biological fluids is presented as a non-invasive tool for bladder cancer biomarker discovery as a first step towards developing superior methods for detection, treatment, and prevention well as to further our current understanding of this disease. In this study, urine samples from 24 healthy volunteers and 24 BC patients were subjected to metabolomic profiling using high throughput solid-phase microextraction (SPME) in thin-film format and reversed-phase high-performance liquid chromatography coupled with a Q Exactive Focus Orbitrap mass spectrometer. The chemometric analysis enabled the selection of metabolites contributing to the observed separation of BC patients from the control group. Relevant differences were demonstrated for phenylalanine metabolism compounds, i.e., benzoic acid, hippuric acid, and 4-hydroxycinnamic acid. Furthermore, compounds involved in the metabolism of histidine, beta-alanine, and glycerophospholipids were also identified. Thin-film SPME can be efficiently used as an alternative approach to other traditional urine sample preparation methods, demonstrating the SPME technique as a simple and efficient tool for urinary metabolomics research. Moreover, this study’s results may support a better understanding of bladder cancer development and progression mechanisms. |
format | Online Article Text |
id | pubmed-8068997 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80689972021-04-26 Metabolic Evaluation of Urine from Patients Diagnosed with High Grade (HG) Bladder Cancer by SPME-LC-MS Method Łuczykowski, Kamil Warmuzińska, Natalia Operacz, Sylwia Stryjak, Iga Bogusiewicz, Joanna Jacyna, Julia Wawrzyniak, Renata Struck-Lewicka, Wiktoria Markuszewski, Michał J. Bojko, Barbara Molecules Article Bladder cancer (BC) is a common malignancy of the urinary system and a leading cause of death worldwide. In this work, untargeted metabolomic profiling of biological fluids is presented as a non-invasive tool for bladder cancer biomarker discovery as a first step towards developing superior methods for detection, treatment, and prevention well as to further our current understanding of this disease. In this study, urine samples from 24 healthy volunteers and 24 BC patients were subjected to metabolomic profiling using high throughput solid-phase microextraction (SPME) in thin-film format and reversed-phase high-performance liquid chromatography coupled with a Q Exactive Focus Orbitrap mass spectrometer. The chemometric analysis enabled the selection of metabolites contributing to the observed separation of BC patients from the control group. Relevant differences were demonstrated for phenylalanine metabolism compounds, i.e., benzoic acid, hippuric acid, and 4-hydroxycinnamic acid. Furthermore, compounds involved in the metabolism of histidine, beta-alanine, and glycerophospholipids were also identified. Thin-film SPME can be efficiently used as an alternative approach to other traditional urine sample preparation methods, demonstrating the SPME technique as a simple and efficient tool for urinary metabolomics research. Moreover, this study’s results may support a better understanding of bladder cancer development and progression mechanisms. MDPI 2021-04-11 /pmc/articles/PMC8068997/ /pubmed/33920347 http://dx.doi.org/10.3390/molecules26082194 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Łuczykowski, Kamil Warmuzińska, Natalia Operacz, Sylwia Stryjak, Iga Bogusiewicz, Joanna Jacyna, Julia Wawrzyniak, Renata Struck-Lewicka, Wiktoria Markuszewski, Michał J. Bojko, Barbara Metabolic Evaluation of Urine from Patients Diagnosed with High Grade (HG) Bladder Cancer by SPME-LC-MS Method |
title | Metabolic Evaluation of Urine from Patients Diagnosed with High Grade (HG) Bladder Cancer by SPME-LC-MS Method |
title_full | Metabolic Evaluation of Urine from Patients Diagnosed with High Grade (HG) Bladder Cancer by SPME-LC-MS Method |
title_fullStr | Metabolic Evaluation of Urine from Patients Diagnosed with High Grade (HG) Bladder Cancer by SPME-LC-MS Method |
title_full_unstemmed | Metabolic Evaluation of Urine from Patients Diagnosed with High Grade (HG) Bladder Cancer by SPME-LC-MS Method |
title_short | Metabolic Evaluation of Urine from Patients Diagnosed with High Grade (HG) Bladder Cancer by SPME-LC-MS Method |
title_sort | metabolic evaluation of urine from patients diagnosed with high grade (hg) bladder cancer by spme-lc-ms method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8068997/ https://www.ncbi.nlm.nih.gov/pubmed/33920347 http://dx.doi.org/10.3390/molecules26082194 |
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