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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...
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| Published in: | Scientific reports 2019-10, Vol.9 (1), p.15690-11, Article 15690 |
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| creator | Feider, Clara L Woody, Spencer Ledet, Suzanne Zhang, Jialing Sebastian, Katherine Breen, Michael T Eberlin, Livia S |
| 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. |
| doi_str_mv | 10.1038/s41598-019-51853-y |
| format | article |
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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.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-019-51853-y</identifier><identifier>PMID: 31666535</identifier><language>eng</language><publisher>England: Nature Publishing Group</publisher><subject>Adult ; Biomarkers - metabolism ; Choristoma - diagnostic imaging ; Choristoma - metabolism ; Choristoma - pathology ; Desorption ; Endometriosis ; Endometriosis - diagnostic imaging ; Endometriosis - pathology ; Endometrium ; Endometrium - diagnostic imaging ; Endometrium - metabolism ; Fatty acids ; Female ; Humans ; Infertility ; Ions ; Mass spectrometry ; Mass spectroscopy ; Mathematical models ; Middle Aged ; Molecular Imaging - methods ; Quality of Life ; Scientific imaging ; Spectrometry, Mass, Electrospray Ionization ; Statistical analysis ; Uterus</subject><ispartof>Scientific reports, 2019-10, Vol.9 (1), p.15690-11, Article 15690</ispartof><rights>2019. 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Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c430t-b003d369ab69b4c7b06b438f19412a51fe18aeb5929fb6799fc2919649b6d483</citedby><cites>FETCH-LOGICAL-c430t-b003d369ab69b4c7b06b438f19412a51fe18aeb5929fb6799fc2919649b6d483</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2310648563/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2310648563?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,315,733,786,790,891,25783,27957,27958,37047,37048,44625,53827,53829,75483</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31666535$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Feider, Clara L</creatorcontrib><creatorcontrib>Woody, Spencer</creatorcontrib><creatorcontrib>Ledet, Suzanne</creatorcontrib><creatorcontrib>Zhang, Jialing</creatorcontrib><creatorcontrib>Sebastian, Katherine</creatorcontrib><creatorcontrib>Breen, Michael T</creatorcontrib><creatorcontrib>Eberlin, Livia S</creatorcontrib><title>Molecular Imaging of Endometriosis Tissues using Desorption Electrospray Ionization Mass Spectrometry</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><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.</description><subject>Adult</subject><subject>Biomarkers - metabolism</subject><subject>Choristoma - diagnostic imaging</subject><subject>Choristoma - metabolism</subject><subject>Choristoma - pathology</subject><subject>Desorption</subject><subject>Endometriosis</subject><subject>Endometriosis - diagnostic imaging</subject><subject>Endometriosis - pathology</subject><subject>Endometrium</subject><subject>Endometrium - diagnostic imaging</subject><subject>Endometrium - metabolism</subject><subject>Fatty acids</subject><subject>Female</subject><subject>Humans</subject><subject>Infertility</subject><subject>Ions</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Mathematical models</subject><subject>Middle Aged</subject><subject>Molecular Imaging - methods</subject><subject>Quality of Life</subject><subject>Scientific imaging</subject><subject>Spectrometry, Mass, Electrospray Ionization</subject><subject>Statistical analysis</subject><subject>Uterus</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNpdUU1r2zAYFmVlDW3_wA7DsMsu7vQd6TIYWdoFUnpo7kJy5EzBtjy9dsH79VWStnTTReJ9PngfPQh9IviGYKa-ASdCqxITXQqiBCunMzSjmIuSMko_vHtfoGuAPc5HUM2J_oguGJFSCiZmyN_HxldjY1Oxau0udLsi1sWy28bWDylECFBsAsDooRjhAP_0EFM_hNgVyywdUoQ-2alYxS78tcf5vQUoHvsjeLCZrtB5bRvw1y_3JdrcLjeLX-X64W61-LEuK87wUDqM2ZZJbZ3Ujldzh6XjTNUkr02tILUnynonNNW1k3Ot64pqoiXXTm65Ypfo-8m2H13rt5XvhmQb06fQ2jSZaIP5F-nCb7OLT0YqShQX2eDri0GKf3LkwbQBKt80tvNxBEMZwXPCmJxn6pf_qPs4pi6nO7IkV0KyzKInVpW_CZKv35Yh2Bx6NKceTe7RHHs0UxZ9fh_jTfLaGnsGcYmbEg</recordid><startdate>20191030</startdate><enddate>20191030</enddate><creator>Feider, Clara L</creator><creator>Woody, Spencer</creator><creator>Ledet, Suzanne</creator><creator>Zhang, Jialing</creator><creator>Sebastian, Katherine</creator><creator>Breen, Michael T</creator><creator>Eberlin, Livia S</creator><general>Nature Publishing Group</general><general>Nature Publishing Group UK</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20191030</creationdate><title>Molecular Imaging of Endometriosis Tissues using Desorption Electrospray Ionization Mass Spectrometry</title><author>Feider, Clara L ; 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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.</abstract><cop>England</cop><pub>Nature Publishing Group</pub><pmid>31666535</pmid><doi>10.1038/s41598-019-51853-y</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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| source | Open Access: PubMed Central; Publicly Available Content Database; Free Full-Text Journals in Chemistry; Springer Nature - nature.com Journals - Fully Open Access |
| subjects | Adult Biomarkers - metabolism Choristoma - diagnostic imaging Choristoma - metabolism Choristoma - pathology Desorption Endometriosis Endometriosis - diagnostic imaging Endometriosis - pathology Endometrium Endometrium - diagnostic imaging Endometrium - metabolism Fatty acids Female Humans Infertility Ions Mass spectrometry Mass spectroscopy Mathematical models Middle Aged Molecular Imaging - methods Quality of Life Scientific imaging Spectrometry, Mass, Electrospray Ionization Statistical analysis Uterus |
| title | Molecular Imaging of Endometriosis Tissues using Desorption Electrospray Ionization Mass Spectrometry |
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