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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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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. |
format | Online Article Text |
id | pubmed-5955890 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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