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Article

Novel Biomarkers to Distinguish between Type 3c and Type 2 Diabetes Mellitus by Untargeted Metabolomics

1
Institute of Biopathology and Regenerative Medicine (IBIMER), Center of Biomedical Research (CIBM), University of Granada, 18012 Granada, Spain
2
Fundación MEDINA, Centro de Excelencia para la Investigación en Medicamentos Innovadores en Andalucía, 18012 Granada, Spain
3
Department of Gastroenterology, San Cecilio University Hospital, 18012 Granada, Spain
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
These authors are both co-senior authors.
Metabolites 2020, 10(11), 423; https://doi.org/10.3390/metabo10110423
Received: 22 September 2020 / Revised: 16 October 2020 / Accepted: 20 October 2020 / Published: 22 October 2020
(This article belongs to the Special Issue Mass Spectrometry-Based Metabolomics: Challenges and Applications)
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. View Full-Text
Keywords: metabolomics; untargeted LC-HRMS; diagnosis; pancreatogenic diabetes mellitus; type 2 diabetes mellitus; chronic pancreatitis; biomarker metabolomics; untargeted LC-HRMS; diagnosis; pancreatogenic diabetes mellitus; type 2 diabetes mellitus; chronic pancreatitis; biomarker
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MDPI and ACS Style

Jimenez-Luna, C.; Martin-Blazquez, A.; Dieguez-Castillo, C.; Diaz, C.; Martin-Ruiz, J.L.; Genilloud, O.; Vicente, F.; del Palacio, J.P.; Prados, J.; Caba, O. Novel Biomarkers to Distinguish between Type 3c and Type 2 Diabetes Mellitus by Untargeted Metabolomics. Metabolites 2020, 10, 423. https://doi.org/10.3390/metabo10110423

AMA Style

Jimenez-Luna C, Martin-Blazquez A, Dieguez-Castillo C, Diaz C, Martin-Ruiz JL, Genilloud O, Vicente F, del Palacio JP, Prados J, Caba O. Novel Biomarkers to Distinguish between Type 3c and Type 2 Diabetes Mellitus by Untargeted Metabolomics. Metabolites. 2020; 10(11):423. https://doi.org/10.3390/metabo10110423

Chicago/Turabian Style

Jimenez-Luna, Cristina, Ariadna Martin-Blazquez, Carmelo Dieguez-Castillo, Caridad Diaz, Jose L. Martin-Ruiz, Olga Genilloud, Francisca Vicente, Jose P. del Palacio, Jose Prados, and Octavio Caba. 2020. "Novel Biomarkers to Distinguish between Type 3c and Type 2 Diabetes Mellitus by Untargeted Metabolomics" Metabolites 10, no. 11: 423. https://doi.org/10.3390/metabo10110423

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