Fingerprinting Acute Digestive Diseases by Untargeted NMR Based Metabolomics

Precision medicine may significantly contribute to rapid disease diagnosis and targeted therapy, but relies on the availability of detailed, subject specific, clinical information. Proton nuclear magnetic resonance (<sup>1</sup>H&#8315;NMR) spectroscopy of body fluids can extract ind...

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Main Authors: Panteleimon G. Takis, Antonio Taddei, Riccardo Pini, Stefano Grifoni, Francesca Tarantini, Paolo Bechi, Claudio Luchinat
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/19/11/3288
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spelling doaj-6b50997901ba433490affb577a3d67cc2020-11-24T22:03:18ZengMDPI AGInternational Journal of Molecular Sciences1422-00672018-10-011911328810.3390/ijms19113288ijms19113288Fingerprinting Acute Digestive Diseases by Untargeted NMR Based MetabolomicsPanteleimon G. Takis0Antonio Taddei1Riccardo Pini2Stefano Grifoni3Francesca Tarantini4Paolo Bechi5Claudio Luchinat6Giotto Biotech, S.r.l, Via Madonna del Piano 6, 50019 Sesto Fiorentino, ItalyDepartment of Surgery and Translational Medicine, School of Medicine, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, ItalyDepartment of Experimental and Clinical Medicine, University of Florence, Largo Brambilla 3, 50134 Florence, ItalyDepartment of Emergency Medicine and Surgery, Careggi University Hospital, 50134 Florence, ItalyDepartment of Experimental and Clinical Medicine, University of Florence, Largo Brambilla 3, 50134 Florence, ItalyDepartment of Surgery and Translational Medicine, School of Medicine, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, ItalyGiotto Biotech, S.r.l, Via Madonna del Piano 6, 50019 Sesto Fiorentino, ItalyPrecision medicine may significantly contribute to rapid disease diagnosis and targeted therapy, but relies on the availability of detailed, subject specific, clinical information. Proton nuclear magnetic resonance (<sup>1</sup>H&#8315;NMR) spectroscopy of body fluids can extract individual metabolic fingerprints. Herein, we studied 64 patients admitted to the Florence main hospital emergency room with severe abdominal pain. A blood sample was drawn from each patient at admission, and the corresponding sera underwent <sup>1</sup>H&#8315;NMR metabolomics fingerprinting. Unsupervised Principal Component Analysis (PCA) analysis showed a significant discrimination between a group of patients with symptoms of upper abdominal pain and a second group consisting of patients with diffuse abdominal/intestinal pain. Prompted by this observation, supervised statistical analysis (Orthogonal Partial Least Squares&#8315;Discriminant Analysis (OPLS-DA)) showed a very good discrimination (&gt;90%) between the two groups of symptoms. This is a surprising finding, given that neither of the two symptoms points directly to a specific disease among those studied here. Actually herein, upper abdominal pain may result from either symptomatic gallstones, cholecystitis, or pancreatitis, while diffuse abdominal/intestinal pain may result from either intestinal ischemia, strangulated obstruction, or mechanical obstruction. Although limited by the small number of samples from each of these six conditions, discrimination of these diseases was attempted. In the first symptom group, &gt;70% discrimination accuracy was obtained among symptomatic gallstones, pancreatitis, and cholecystitis, while for the second symptom group &gt;85% classification accuracy was obtained for intestinal ischemia, strangulated obstruction, and mechanical obstruction. No single metabolite stands up as a possible biomarker for any of these diseases, while the contribution of the whole <sup>1</sup>H&#8315;NMR serum fingerprint seems to be a promising candidate, to be confirmed on larger cohorts, as a first-line discriminator for these diseases.https://www.mdpi.com/1422-0067/19/11/3288acute digestive diseasebiliary colicpancreatitismetabolomicsintestinal ischemiaileusintestinal strangulated obstruction
collection DOAJ
language English
format Article
sources DOAJ
author Panteleimon G. Takis
Antonio Taddei
Riccardo Pini
Stefano Grifoni
Francesca Tarantini
Paolo Bechi
Claudio Luchinat
spellingShingle Panteleimon G. Takis
Antonio Taddei
Riccardo Pini
Stefano Grifoni
Francesca Tarantini
Paolo Bechi
Claudio Luchinat
Fingerprinting Acute Digestive Diseases by Untargeted NMR Based Metabolomics
International Journal of Molecular Sciences
acute digestive disease
biliary colic
pancreatitis
metabolomics
intestinal ischemia
ileus
intestinal strangulated obstruction
author_facet Panteleimon G. Takis
Antonio Taddei
Riccardo Pini
Stefano Grifoni
Francesca Tarantini
Paolo Bechi
Claudio Luchinat
author_sort Panteleimon G. Takis
title Fingerprinting Acute Digestive Diseases by Untargeted NMR Based Metabolomics
title_short Fingerprinting Acute Digestive Diseases by Untargeted NMR Based Metabolomics
title_full Fingerprinting Acute Digestive Diseases by Untargeted NMR Based Metabolomics
title_fullStr Fingerprinting Acute Digestive Diseases by Untargeted NMR Based Metabolomics
title_full_unstemmed Fingerprinting Acute Digestive Diseases by Untargeted NMR Based Metabolomics
title_sort fingerprinting acute digestive diseases by untargeted nmr based metabolomics
publisher MDPI AG
series International Journal of Molecular Sciences
issn 1422-0067
publishDate 2018-10-01
description Precision medicine may significantly contribute to rapid disease diagnosis and targeted therapy, but relies on the availability of detailed, subject specific, clinical information. Proton nuclear magnetic resonance (<sup>1</sup>H&#8315;NMR) spectroscopy of body fluids can extract individual metabolic fingerprints. Herein, we studied 64 patients admitted to the Florence main hospital emergency room with severe abdominal pain. A blood sample was drawn from each patient at admission, and the corresponding sera underwent <sup>1</sup>H&#8315;NMR metabolomics fingerprinting. Unsupervised Principal Component Analysis (PCA) analysis showed a significant discrimination between a group of patients with symptoms of upper abdominal pain and a second group consisting of patients with diffuse abdominal/intestinal pain. Prompted by this observation, supervised statistical analysis (Orthogonal Partial Least Squares&#8315;Discriminant Analysis (OPLS-DA)) showed a very good discrimination (&gt;90%) between the two groups of symptoms. This is a surprising finding, given that neither of the two symptoms points directly to a specific disease among those studied here. Actually herein, upper abdominal pain may result from either symptomatic gallstones, cholecystitis, or pancreatitis, while diffuse abdominal/intestinal pain may result from either intestinal ischemia, strangulated obstruction, or mechanical obstruction. Although limited by the small number of samples from each of these six conditions, discrimination of these diseases was attempted. In the first symptom group, &gt;70% discrimination accuracy was obtained among symptomatic gallstones, pancreatitis, and cholecystitis, while for the second symptom group &gt;85% classification accuracy was obtained for intestinal ischemia, strangulated obstruction, and mechanical obstruction. No single metabolite stands up as a possible biomarker for any of these diseases, while the contribution of the whole <sup>1</sup>H&#8315;NMR serum fingerprint seems to be a promising candidate, to be confirmed on larger cohorts, as a first-line discriminator for these diseases.
topic acute digestive disease
biliary colic
pancreatitis
metabolomics
intestinal ischemia
ileus
intestinal strangulated obstruction
url https://www.mdpi.com/1422-0067/19/11/3288
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