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Metabolomic profile of systemic sclerosis patients

Systemic sclerosis (SSc) is an autoimmune disease of unknown aetiology characterized by vascular lesions, immunological alterations and diffuse fibrosis of the skin and internal organs. Since recent evidence suggests that there is a link between metabolomics and immune mediated disease, serum metabo...

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Autores principales: Murgia, Federica, Svegliati, Silvia, Poddighe, Simone, Lussu, Milena, Manzin, Aldo, Spadoni, Tatiana, Fischetti, Colomba, Gabrielli, Armando, Atzori, Luigi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5955890/
https://www.ncbi.nlm.nih.gov/pubmed/29769578
http://dx.doi.org/10.1038/s41598-018-25992-7
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author Murgia, Federica
Svegliati, Silvia
Poddighe, Simone
Lussu, Milena
Manzin, Aldo
Spadoni, Tatiana
Fischetti, Colomba
Gabrielli, Armando
Atzori, Luigi
author_facet Murgia, Federica
Svegliati, Silvia
Poddighe, Simone
Lussu, Milena
Manzin, Aldo
Spadoni, Tatiana
Fischetti, Colomba
Gabrielli, Armando
Atzori, Luigi
author_sort Murgia, Federica
collection PubMed
description Systemic sclerosis (SSc) is an autoimmune disease of unknown aetiology characterized by vascular lesions, immunological alterations and diffuse fibrosis of the skin and internal organs. Since recent evidence suggests that there is a link between metabolomics and immune mediated disease, serum metabolic profile of SSc patients and healthy controls was investigated by (1)H-NMR and GC-MS techniques. The results indicated a lower level of aspartate, alanine, choline, glutamate, and glutarate in SSc patients compared with healthy controls. Moreover, comparing patients affected by limited SSc (lcSSc) and diffuse SSc (dcSSc), 6 discriminant metabolites were identified. The multivariate analysis performed using all the metabolites significantly different revealed glycolysis, gluconeogenesis, energetic pathways, glutamate metabolism, degradation of ketone bodies and pyruvate metabolism as the most important networks. Aspartate, alanine and citrate yielded a high area under receiver-operating characteristic (ROC) curves (AUC of 0.81; CI 0.726–0.93) for discriminating SSc patients from controls, whereas ROC curve generated with acetate, fructose, glutamate, glutamine, glycerol and glutarate (AUC of 0.84; CI 0.7–0.98) discriminated between lcSSc and dcSSc. These results indicated that serum NMR-based metabolomics profiling method is sensitive and specific enough to distinguish SSc from healthy controls and provided a feasible diagnostic tool for the diagnosis and classification of the disease.
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spelling pubmed-59558902018-05-21 Metabolomic profile of systemic sclerosis patients Murgia, Federica Svegliati, Silvia Poddighe, Simone Lussu, Milena Manzin, Aldo Spadoni, Tatiana Fischetti, Colomba Gabrielli, Armando Atzori, Luigi Sci Rep Article Systemic sclerosis (SSc) is an autoimmune disease of unknown aetiology characterized by vascular lesions, immunological alterations and diffuse fibrosis of the skin and internal organs. Since recent evidence suggests that there is a link between metabolomics and immune mediated disease, serum metabolic profile of SSc patients and healthy controls was investigated by (1)H-NMR and GC-MS techniques. The results indicated a lower level of aspartate, alanine, choline, glutamate, and glutarate in SSc patients compared with healthy controls. Moreover, comparing patients affected by limited SSc (lcSSc) and diffuse SSc (dcSSc), 6 discriminant metabolites were identified. The multivariate analysis performed using all the metabolites significantly different revealed glycolysis, gluconeogenesis, energetic pathways, glutamate metabolism, degradation of ketone bodies and pyruvate metabolism as the most important networks. Aspartate, alanine and citrate yielded a high area under receiver-operating characteristic (ROC) curves (AUC of 0.81; CI 0.726–0.93) for discriminating SSc patients from controls, whereas ROC curve generated with acetate, fructose, glutamate, glutamine, glycerol and glutarate (AUC of 0.84; CI 0.7–0.98) discriminated between lcSSc and dcSSc. These results indicated that serum NMR-based metabolomics profiling method is sensitive and specific enough to distinguish SSc from healthy controls and provided a feasible diagnostic tool for the diagnosis and classification of the disease. Nature Publishing Group UK 2018-05-16 /pmc/articles/PMC5955890/ /pubmed/29769578 http://dx.doi.org/10.1038/s41598-018-25992-7 Text en © The Author(s) 2018 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Murgia, Federica
Svegliati, Silvia
Poddighe, Simone
Lussu, Milena
Manzin, Aldo
Spadoni, Tatiana
Fischetti, Colomba
Gabrielli, Armando
Atzori, Luigi
Metabolomic profile of systemic sclerosis patients
title Metabolomic profile of systemic sclerosis patients
title_full Metabolomic profile of systemic sclerosis patients
title_fullStr Metabolomic profile of systemic sclerosis patients
title_full_unstemmed Metabolomic profile of systemic sclerosis patients
title_short Metabolomic profile of systemic sclerosis patients
title_sort metabolomic profile of systemic sclerosis patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5955890/
https://www.ncbi.nlm.nih.gov/pubmed/29769578
http://dx.doi.org/10.1038/s41598-018-25992-7
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