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Application of untargeted volatile profiling in inflammatory bowel disease research
Inflammatory bowel disease (IBD) diagnosis depends on criteria based on histological, endoscopic, radiological, and clinical results. These studies show drawbacks as being expensive, invasive, and time-consuming. In this work, an untargeted metabolomic strategy based on the monitoring of volatile co...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289974/ https://www.ncbi.nlm.nih.gov/pubmed/37233766 http://dx.doi.org/10.1007/s00216-023-04748-x |
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author | Arroyo-Manzanares, Natalia García-Nicolás, María Abellán-Alfocea, Fuensanta Prieto-Baeza, Laura Campillo, Natalia del Val Oliver, Blanca Zarauz-García, José Sáenz, Luis Viñas, Pilar |
author_facet | Arroyo-Manzanares, Natalia García-Nicolás, María Abellán-Alfocea, Fuensanta Prieto-Baeza, Laura Campillo, Natalia del Val Oliver, Blanca Zarauz-García, José Sáenz, Luis Viñas, Pilar |
author_sort | Arroyo-Manzanares, Natalia |
collection | PubMed |
description | Inflammatory bowel disease (IBD) diagnosis depends on criteria based on histological, endoscopic, radiological, and clinical results. These studies show drawbacks as being expensive, invasive, and time-consuming. In this work, an untargeted metabolomic strategy based on the monitoring of volatile compounds in serum by headspace gas chromatography–mass spectrometry is proposed as a complementary, fast, and efficient test for IBD patient diagnosis. To develop the method and build a chemometric model that allows the IBD diagnosis, serum samples including IBD patients and healthy volunteers were collected. Analyses were performed by incubating 400 µL of serum for 10 min at 90 °C. For data processing, an untargeted metabolomic strategy was used. A total of 96 features were detected, of which a total of 10 volatile compounds could be identified and confirmed by means of the analysis of real standards. The chemometric treatment consisted of a discriminant analysis of orthogonal partial least squares (OPLS-DA) obtaining a 100% of classification rate, since all the analyzed samples were correctly classified. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00216-023-04748-x. |
format | Online Article Text |
id | pubmed-10289974 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-102899742023-06-25 Application of untargeted volatile profiling in inflammatory bowel disease research Arroyo-Manzanares, Natalia García-Nicolás, María Abellán-Alfocea, Fuensanta Prieto-Baeza, Laura Campillo, Natalia del Val Oliver, Blanca Zarauz-García, José Sáenz, Luis Viñas, Pilar Anal Bioanal Chem Research Paper Inflammatory bowel disease (IBD) diagnosis depends on criteria based on histological, endoscopic, radiological, and clinical results. These studies show drawbacks as being expensive, invasive, and time-consuming. In this work, an untargeted metabolomic strategy based on the monitoring of volatile compounds in serum by headspace gas chromatography–mass spectrometry is proposed as a complementary, fast, and efficient test for IBD patient diagnosis. To develop the method and build a chemometric model that allows the IBD diagnosis, serum samples including IBD patients and healthy volunteers were collected. Analyses were performed by incubating 400 µL of serum for 10 min at 90 °C. For data processing, an untargeted metabolomic strategy was used. A total of 96 features were detected, of which a total of 10 volatile compounds could be identified and confirmed by means of the analysis of real standards. The chemometric treatment consisted of a discriminant analysis of orthogonal partial least squares (OPLS-DA) obtaining a 100% of classification rate, since all the analyzed samples were correctly classified. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00216-023-04748-x. Springer Berlin Heidelberg 2023-05-26 2023 /pmc/articles/PMC10289974/ /pubmed/37233766 http://dx.doi.org/10.1007/s00216-023-04748-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Paper Arroyo-Manzanares, Natalia García-Nicolás, María Abellán-Alfocea, Fuensanta Prieto-Baeza, Laura Campillo, Natalia del Val Oliver, Blanca Zarauz-García, José Sáenz, Luis Viñas, Pilar Application of untargeted volatile profiling in inflammatory bowel disease research |
title | Application of untargeted volatile profiling in inflammatory bowel disease research |
title_full | Application of untargeted volatile profiling in inflammatory bowel disease research |
title_fullStr | Application of untargeted volatile profiling in inflammatory bowel disease research |
title_full_unstemmed | Application of untargeted volatile profiling in inflammatory bowel disease research |
title_short | Application of untargeted volatile profiling in inflammatory bowel disease research |
title_sort | application of untargeted volatile profiling in inflammatory bowel disease research |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289974/ https://www.ncbi.nlm.nih.gov/pubmed/37233766 http://dx.doi.org/10.1007/s00216-023-04748-x |
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