Molecular Imaging of Endometriosis Tissues using Desorption Electrospray Ionization Mass Spectrometry

被引:17
|
作者
Feider, Clara L. [1 ]
Woody, Spencer [2 ]
Ledet, Suzanne [3 ]
Zhang, Jialing [1 ]
Sebastian, Katherine [4 ]
Breen, Michael T. [5 ]
Eberlinl, Livia S. [1 ]
机构
[1] Univ Texas Austin, Dept Chem, 100 E 24th St, Austin, TX 78712 USA
[2] Univ Texas Austin, Dept Stat & Data Sci, 2317 Speedway, Austin, TX 78712 USA
[3] Ascens Seton Med Ctr, Dept Pathol, 1201W 38th St, Austin, TX 78705 USA
[4] Univ Texas Austin, Dell Med Sch, Dept Internal Med, 1601 Trinity St, Austin, TX 78712 USA
[5] Univ Texas Austin, Dell Med Sch, Dept Womens Hlth, 1301W 38th St, Austin, TX 78712 USA
关键词
PERITONEAL ENDOMETRIOSIS; OVARIAN ENDOMETRIOSIS; METABOLIC CHANGES; BIOMARKERS; PHOSPHATIDYLCHOLINES; PHOSPHATIDYLSERINE; SPHINGOMYELINS; EPIDEMIOLOGY; CANCER; WOMEN;
D O I
10.1038/s41598-019-51853-y
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 stroma I 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.
引用
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页数:11
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