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Novel Biomarkers to Distinguish between Type 3c and Type 2 Diabetes Mellitus by Untargeted Metabolomics
Pancreatogenic diabetes mellitus (T3cDM) is a highly frequent complication of pancreatic disease, especially chronic pancreatitis, and it is often misdiagnosed as type 2 diabetes mellitus (T2DM). A correct diagnosis allows the appropriate treatment of these patients, improving their quality of life,...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690399/ https://www.ncbi.nlm.nih.gov/pubmed/33105675 http://dx.doi.org/10.3390/metabo10110423 |
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author | Jimenez-Luna, Cristina Martin-Blazquez, Ariadna Dieguez-Castillo, Carmelo Diaz, Caridad Martin-Ruiz, Jose Luis Genilloud, Olga Vicente, Francisca del Palacio, Jose Perez Prados, Jose Caba, Octavio |
author_facet | Jimenez-Luna, Cristina Martin-Blazquez, Ariadna Dieguez-Castillo, Carmelo Diaz, Caridad Martin-Ruiz, Jose Luis Genilloud, Olga Vicente, Francisca del Palacio, Jose Perez Prados, Jose Caba, Octavio |
author_sort | Jimenez-Luna, Cristina |
collection | PubMed |
description | Pancreatogenic diabetes mellitus (T3cDM) is a highly frequent complication of pancreatic disease, especially chronic pancreatitis, and it is often misdiagnosed as type 2 diabetes mellitus (T2DM). A correct diagnosis allows the appropriate treatment of these patients, improving their quality of life, and various technologies have been employed over recent years to search for specific biomarkers of each disease. The main aim of this metabolomic project was to find differential metabolites between T3cDM and T2DM. Reverse-phase liquid chromatography coupled to high-resolution mass spectrometry was performed in serum samples from patients with T3cDM and T2DM. Multivariate Principal Component and Partial Least Squares-Discriminant analyses were employed to evaluate between-group variations. Univariate and multivariate analyses were used to identify potential candidates and the area under the receiver-operating characteristic (ROC) curve was calculated to evaluate their diagnostic value. A panel of five differential metabolites obtained an area under the ROC curve of 0.946. In this study, we demonstrate the usefulness of untargeted metabolomics for the differential diagnosis between T3cDM and T2DM and propose a panel of five metabolites that appear altered in the comparison between patients with these diseases. |
format | Online Article Text |
id | pubmed-7690399 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76903992020-11-27 Novel Biomarkers to Distinguish between Type 3c and Type 2 Diabetes Mellitus by Untargeted Metabolomics Jimenez-Luna, Cristina Martin-Blazquez, Ariadna Dieguez-Castillo, Carmelo Diaz, Caridad Martin-Ruiz, Jose Luis Genilloud, Olga Vicente, Francisca del Palacio, Jose Perez Prados, Jose Caba, Octavio Metabolites Article Pancreatogenic diabetes mellitus (T3cDM) is a highly frequent complication of pancreatic disease, especially chronic pancreatitis, and it is often misdiagnosed as type 2 diabetes mellitus (T2DM). A correct diagnosis allows the appropriate treatment of these patients, improving their quality of life, and various technologies have been employed over recent years to search for specific biomarkers of each disease. The main aim of this metabolomic project was to find differential metabolites between T3cDM and T2DM. Reverse-phase liquid chromatography coupled to high-resolution mass spectrometry was performed in serum samples from patients with T3cDM and T2DM. Multivariate Principal Component and Partial Least Squares-Discriminant analyses were employed to evaluate between-group variations. Univariate and multivariate analyses were used to identify potential candidates and the area under the receiver-operating characteristic (ROC) curve was calculated to evaluate their diagnostic value. A panel of five differential metabolites obtained an area under the ROC curve of 0.946. In this study, we demonstrate the usefulness of untargeted metabolomics for the differential diagnosis between T3cDM and T2DM and propose a panel of five metabolites that appear altered in the comparison between patients with these diseases. MDPI 2020-10-22 /pmc/articles/PMC7690399/ /pubmed/33105675 http://dx.doi.org/10.3390/metabo10110423 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Jimenez-Luna, Cristina Martin-Blazquez, Ariadna Dieguez-Castillo, Carmelo Diaz, Caridad Martin-Ruiz, Jose Luis Genilloud, Olga Vicente, Francisca del Palacio, Jose Perez Prados, Jose Caba, Octavio Novel Biomarkers to Distinguish between Type 3c and Type 2 Diabetes Mellitus by Untargeted Metabolomics |
title | Novel Biomarkers to Distinguish between Type 3c and Type 2 Diabetes Mellitus by Untargeted Metabolomics |
title_full | Novel Biomarkers to Distinguish between Type 3c and Type 2 Diabetes Mellitus by Untargeted Metabolomics |
title_fullStr | Novel Biomarkers to Distinguish between Type 3c and Type 2 Diabetes Mellitus by Untargeted Metabolomics |
title_full_unstemmed | Novel Biomarkers to Distinguish between Type 3c and Type 2 Diabetes Mellitus by Untargeted Metabolomics |
title_short | Novel Biomarkers to Distinguish between Type 3c and Type 2 Diabetes Mellitus by Untargeted Metabolomics |
title_sort | novel biomarkers to distinguish between type 3c and type 2 diabetes mellitus by untargeted metabolomics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690399/ https://www.ncbi.nlm.nih.gov/pubmed/33105675 http://dx.doi.org/10.3390/metabo10110423 |
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