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Molecular Imaging of Endometriosis Tissues using Desorption Electrospray Ionization Mass Spectrometry
Endometriosis is a pathologic condition affecting approximately 10% of women in their reproductive years. Characterized by abnormal growth of uterine endometrial tissue in other body areas, endometriosis can cause severe abdominal pain and/or infertility. Despite devastating consequences to patients...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821845/ https://www.ncbi.nlm.nih.gov/pubmed/31666535 http://dx.doi.org/10.1038/s41598-019-51853-y |
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author | Feider, Clara L. Woody, Spencer Ledet, Suzanne Zhang, Jialing Sebastian, Katherine Breen, Michael T. Eberlin, Livia S. |
author_facet | Feider, Clara L. Woody, Spencer Ledet, Suzanne Zhang, Jialing Sebastian, Katherine Breen, Michael T. Eberlin, Livia S. |
author_sort | Feider, Clara L. |
collection | PubMed |
description | Endometriosis is a pathologic condition affecting approximately 10% of women in their reproductive years. Characterized by abnormal growth of uterine endometrial tissue in other body areas, endometriosis can cause severe abdominal pain and/or infertility. Despite devastating consequences to patients’ quality of life, the causes of endometriosis are not fully understood and validated diagnostic markers for endometriosis have not been identified. Molecular analyses of ectopic and eutopic endometrial tissues could lead to enhanced understanding of the disease. Here, we apply desorption electrospray ionization (DESI) mass spectrometry (MS) imaging to chemically and spatially characterize the molecular profiles of 231 eutopic and ectopic endometrial tissues from 89 endometriosis patients. DESI-MS imaging allowed clear visualization of endometrial glandular and stromal regions within tissue samples. Statistical models built from DESI-MS imaging data allowed classification of endometriosis lesions with overall accuracies of 89.4%, 98.4%, and 98.8% on training, validation, and test sample sets, respectively. Further, molecular markers that are significantly altered in ectopic endometrial tissues when compared to eutopic tissues were identified, including fatty acids and glycerophosphoserines. Our study showcases the value of MS imaging to investigate the molecular composition of endometriosis lesions and pinpoints metabolic markers that may provide new knowledge on disease pathogenesis. |
format | Online Article Text |
id | pubmed-6821845 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68218452019-11-05 Molecular Imaging of Endometriosis Tissues using Desorption Electrospray Ionization Mass Spectrometry Feider, Clara L. Woody, Spencer Ledet, Suzanne Zhang, Jialing Sebastian, Katherine Breen, Michael T. Eberlin, Livia S. Sci Rep Article Endometriosis is a pathologic condition affecting approximately 10% of women in their reproductive years. Characterized by abnormal growth of uterine endometrial tissue in other body areas, endometriosis can cause severe abdominal pain and/or infertility. Despite devastating consequences to patients’ quality of life, the causes of endometriosis are not fully understood and validated diagnostic markers for endometriosis have not been identified. Molecular analyses of ectopic and eutopic endometrial tissues could lead to enhanced understanding of the disease. Here, we apply desorption electrospray ionization (DESI) mass spectrometry (MS) imaging to chemically and spatially characterize the molecular profiles of 231 eutopic and ectopic endometrial tissues from 89 endometriosis patients. DESI-MS imaging allowed clear visualization of endometrial glandular and stromal regions within tissue samples. Statistical models built from DESI-MS imaging data allowed classification of endometriosis lesions with overall accuracies of 89.4%, 98.4%, and 98.8% on training, validation, and test sample sets, respectively. Further, molecular markers that are significantly altered in ectopic endometrial tissues when compared to eutopic tissues were identified, including fatty acids and glycerophosphoserines. Our study showcases the value of MS imaging to investigate the molecular composition of endometriosis lesions and pinpoints metabolic markers that may provide new knowledge on disease pathogenesis. Nature Publishing Group UK 2019-10-30 /pmc/articles/PMC6821845/ /pubmed/31666535 http://dx.doi.org/10.1038/s41598-019-51853-y Text en © The Author(s) 2019 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 Feider, Clara L. Woody, Spencer Ledet, Suzanne Zhang, Jialing Sebastian, Katherine Breen, Michael T. Eberlin, Livia S. Molecular Imaging of Endometriosis Tissues using Desorption Electrospray Ionization Mass Spectrometry |
title | Molecular Imaging of Endometriosis Tissues using Desorption Electrospray Ionization Mass Spectrometry |
title_full | Molecular Imaging of Endometriosis Tissues using Desorption Electrospray Ionization Mass Spectrometry |
title_fullStr | Molecular Imaging of Endometriosis Tissues using Desorption Electrospray Ionization Mass Spectrometry |
title_full_unstemmed | Molecular Imaging of Endometriosis Tissues using Desorption Electrospray Ionization Mass Spectrometry |
title_short | Molecular Imaging of Endometriosis Tissues using Desorption Electrospray Ionization Mass Spectrometry |
title_sort | molecular imaging of endometriosis tissues using desorption electrospray ionization mass spectrometry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821845/ https://www.ncbi.nlm.nih.gov/pubmed/31666535 http://dx.doi.org/10.1038/s41598-019-51853-y |
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