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Metabolic Profile of Patients with Severe Endometriosis: a Prospective Experimental Study
Endometriosis is a common disease affecting women in reproductive age. There are several hypotheses on the pathogenesis of this disease. Often, its lesions and symptoms overlap with those of many other medical and surgical conditions, causing a delay in diagnosis. Metabolomics represents a useful di...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862197/ https://www.ncbi.nlm.nih.gov/pubmed/33174185 http://dx.doi.org/10.1007/s43032-020-00370-9 |
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author | Murgia, Federica Angioni, Stefano D’Alterio, Maurizio Nicola Pirarba, Silvia Noto, Antonio Santoru, Maria Laura Tronci, Laura Fanos, Vassilios Atzori, Luigi Congiu, Francesca |
author_facet | Murgia, Federica Angioni, Stefano D’Alterio, Maurizio Nicola Pirarba, Silvia Noto, Antonio Santoru, Maria Laura Tronci, Laura Fanos, Vassilios Atzori, Luigi Congiu, Francesca |
author_sort | Murgia, Federica |
collection | PubMed |
description | Endometriosis is a common disease affecting women in reproductive age. There are several hypotheses on the pathogenesis of this disease. Often, its lesions and symptoms overlap with those of many other medical and surgical conditions, causing a delay in diagnosis. Metabolomics represents a useful diagnostic tool for the study of metabolic changes during a different physiological or pathological status. We used (1)H-NMR to explore metabolic alteration in a cohort of patients with endometriosis in order to contribute to a better understanding of the pathophysiology of the disease and to suggest new useful biomarkers. Thirty-seven patients were recruited for the metabolomic analysis: 22 patients affected by symptomatic endometriosis and 15 not affected by it. Their serum samples were collected and analyzed with (1)H-NMR. Multivariate statistical analysis was conducted, followed by univariate and pathway analyses. Partial Least Square Discriminant Analysis (PLS-DA) was performed to determine the presence of any differences between the non-endometriosis and endometriosis samples (R(2)X = 0.596, R(2)Y = 0.713, Q(2) = 0.635, and p < 0.0001). β-hydroxybutyric acid and glutamine were significantly increased, whereas tryptophan was significantly decreased in the endometriosis patients. ROC curves were built to test the diagnostic power of the metabolites (β-hydroxybutyric acid: AUC = 0.85 CI = 0.71–0.99; glutamine: AUC = 0.83 CI = 0.68–0.98; tryptophan: AUC = 0.75 CI = 0.54–0.95; β-hydroxybutyric acid + glutamine + tryptophan AUC = 0.92 CI = 0.81–1). The metabolomic approach enabled the identification of several metabolic alterations occurring in women with endometriosis. These findings may provide new bases for a better understanding of the pathophysiological mechanisms of the disease and for the discovery of new biomarkers. Trial registration number NCT02337816 |
format | Online Article Text |
id | pubmed-7862197 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-78621972021-02-11 Metabolic Profile of Patients with Severe Endometriosis: a Prospective Experimental Study Murgia, Federica Angioni, Stefano D’Alterio, Maurizio Nicola Pirarba, Silvia Noto, Antonio Santoru, Maria Laura Tronci, Laura Fanos, Vassilios Atzori, Luigi Congiu, Francesca Reprod Sci General Gynecology: Original Article Endometriosis is a common disease affecting women in reproductive age. There are several hypotheses on the pathogenesis of this disease. Often, its lesions and symptoms overlap with those of many other medical and surgical conditions, causing a delay in diagnosis. Metabolomics represents a useful diagnostic tool for the study of metabolic changes during a different physiological or pathological status. We used (1)H-NMR to explore metabolic alteration in a cohort of patients with endometriosis in order to contribute to a better understanding of the pathophysiology of the disease and to suggest new useful biomarkers. Thirty-seven patients were recruited for the metabolomic analysis: 22 patients affected by symptomatic endometriosis and 15 not affected by it. Their serum samples were collected and analyzed with (1)H-NMR. Multivariate statistical analysis was conducted, followed by univariate and pathway analyses. Partial Least Square Discriminant Analysis (PLS-DA) was performed to determine the presence of any differences between the non-endometriosis and endometriosis samples (R(2)X = 0.596, R(2)Y = 0.713, Q(2) = 0.635, and p < 0.0001). β-hydroxybutyric acid and glutamine were significantly increased, whereas tryptophan was significantly decreased in the endometriosis patients. ROC curves were built to test the diagnostic power of the metabolites (β-hydroxybutyric acid: AUC = 0.85 CI = 0.71–0.99; glutamine: AUC = 0.83 CI = 0.68–0.98; tryptophan: AUC = 0.75 CI = 0.54–0.95; β-hydroxybutyric acid + glutamine + tryptophan AUC = 0.92 CI = 0.81–1). The metabolomic approach enabled the identification of several metabolic alterations occurring in women with endometriosis. These findings may provide new bases for a better understanding of the pathophysiological mechanisms of the disease and for the discovery of new biomarkers. Trial registration number NCT02337816 Springer International Publishing 2020-11-10 /pmc/articles/PMC7862197/ /pubmed/33174185 http://dx.doi.org/10.1007/s43032-020-00370-9 Text en © The Author(s) 2020 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | General Gynecology: Original Article Murgia, Federica Angioni, Stefano D’Alterio, Maurizio Nicola Pirarba, Silvia Noto, Antonio Santoru, Maria Laura Tronci, Laura Fanos, Vassilios Atzori, Luigi Congiu, Francesca Metabolic Profile of Patients with Severe Endometriosis: a Prospective Experimental Study |
title | Metabolic Profile of Patients with Severe Endometriosis: a Prospective Experimental Study |
title_full | Metabolic Profile of Patients with Severe Endometriosis: a Prospective Experimental Study |
title_fullStr | Metabolic Profile of Patients with Severe Endometriosis: a Prospective Experimental Study |
title_full_unstemmed | Metabolic Profile of Patients with Severe Endometriosis: a Prospective Experimental Study |
title_short | Metabolic Profile of Patients with Severe Endometriosis: a Prospective Experimental Study |
title_sort | metabolic profile of patients with severe endometriosis: a prospective experimental study |
topic | General Gynecology: Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862197/ https://www.ncbi.nlm.nih.gov/pubmed/33174185 http://dx.doi.org/10.1007/s43032-020-00370-9 |
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