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Untargeted Metabolomics for the Diagnosis of Exocrine Pancreatic Insufficiency in Chronic Pancreatitis
Background and Objectives: The clinical manifestations and course of chronic pancreatitis (CP) are often nonspecific and variable, hampering diagnosis of the risk of exocrine pancreatic insufficiency (EPI). Development of new, reproducible, and non-invasive methods to diagnose EPI is therefore a maj...
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/PMC8470962/ https://www.ncbi.nlm.nih.gov/pubmed/34577799 http://dx.doi.org/10.3390/medicina57090876 |
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author | Díaz, Caridad Jiménez-Luna, Cristina Diéguez-Castillo, Carmelo Martín, Ariadna Prados, José Martín-Ruíz, José Luis Genilloud, Olga Vicente, Francisca Pérez del Palacio, José Caba, Octavio |
author_facet | Díaz, Caridad Jiménez-Luna, Cristina Diéguez-Castillo, Carmelo Martín, Ariadna Prados, José Martín-Ruíz, José Luis Genilloud, Olga Vicente, Francisca Pérez del Palacio, José Caba, Octavio |
author_sort | Díaz, Caridad |
collection | PubMed |
description | Background and Objectives: The clinical manifestations and course of chronic pancreatitis (CP) are often nonspecific and variable, hampering diagnosis of the risk of exocrine pancreatic insufficiency (EPI). Development of new, reproducible, and non-invasive methods to diagnose EPI is therefore a major priority. The objective of this metabolomic study was to identify novel biomarkers associated with EPI. Materials and Methods: We analyzed 53 samples from patients with CP, 32 with and 21 without EPI, using an untargeted metabolomics workflow based on hydrophilic interaction chromatography coupled to high-resolution mass spectrometry. Principal component and partial least squares-discriminant analyses showed significant between-group differentiation, and univariate and multivariate analyses identified potential candidate metabolites that significantly differed between samples from CP patients with EPI and those without EPI. Results: Excellent results were obtained using a six-metabolic panel to diagnose the presence of EPI in CP patients (area under the ROC curve = 0.785). Conclusions: This study confirms the usefulness of metabolomics in this disease setting, allowing the identification of novel biomarkers to differentiate between the presence and absence of EPI in CP patients. |
format | Online Article Text |
id | pubmed-8470962 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84709622021-09-27 Untargeted Metabolomics for the Diagnosis of Exocrine Pancreatic Insufficiency in Chronic Pancreatitis Díaz, Caridad Jiménez-Luna, Cristina Diéguez-Castillo, Carmelo Martín, Ariadna Prados, José Martín-Ruíz, José Luis Genilloud, Olga Vicente, Francisca Pérez del Palacio, José Caba, Octavio Medicina (Kaunas) Article Background and Objectives: The clinical manifestations and course of chronic pancreatitis (CP) are often nonspecific and variable, hampering diagnosis of the risk of exocrine pancreatic insufficiency (EPI). Development of new, reproducible, and non-invasive methods to diagnose EPI is therefore a major priority. The objective of this metabolomic study was to identify novel biomarkers associated with EPI. Materials and Methods: We analyzed 53 samples from patients with CP, 32 with and 21 without EPI, using an untargeted metabolomics workflow based on hydrophilic interaction chromatography coupled to high-resolution mass spectrometry. Principal component and partial least squares-discriminant analyses showed significant between-group differentiation, and univariate and multivariate analyses identified potential candidate metabolites that significantly differed between samples from CP patients with EPI and those without EPI. Results: Excellent results were obtained using a six-metabolic panel to diagnose the presence of EPI in CP patients (area under the ROC curve = 0.785). Conclusions: This study confirms the usefulness of metabolomics in this disease setting, allowing the identification of novel biomarkers to differentiate between the presence and absence of EPI in CP patients. MDPI 2021-08-26 /pmc/articles/PMC8470962/ /pubmed/34577799 http://dx.doi.org/10.3390/medicina57090876 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 Díaz, Caridad Jiménez-Luna, Cristina Diéguez-Castillo, Carmelo Martín, Ariadna Prados, José Martín-Ruíz, José Luis Genilloud, Olga Vicente, Francisca Pérez del Palacio, José Caba, Octavio Untargeted Metabolomics for the Diagnosis of Exocrine Pancreatic Insufficiency in Chronic Pancreatitis |
title | Untargeted Metabolomics for the Diagnosis of Exocrine Pancreatic Insufficiency in Chronic Pancreatitis |
title_full | Untargeted Metabolomics for the Diagnosis of Exocrine Pancreatic Insufficiency in Chronic Pancreatitis |
title_fullStr | Untargeted Metabolomics for the Diagnosis of Exocrine Pancreatic Insufficiency in Chronic Pancreatitis |
title_full_unstemmed | Untargeted Metabolomics for the Diagnosis of Exocrine Pancreatic Insufficiency in Chronic Pancreatitis |
title_short | Untargeted Metabolomics for the Diagnosis of Exocrine Pancreatic Insufficiency in Chronic Pancreatitis |
title_sort | untargeted metabolomics for the diagnosis of exocrine pancreatic insufficiency in chronic pancreatitis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8470962/ https://www.ncbi.nlm.nih.gov/pubmed/34577799 http://dx.doi.org/10.3390/medicina57090876 |
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