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Sci Rep. 2019 Oct 30;9(1):15690. doi: 10.1038/s41598-019-51853-y.

Molecular Imaging of Endometriosis Tissues using Desorption Electrospray Ionization Mass Spectrometry.

Author information

1
The University of Texas at Austin, Department of Chemistry, 100 E. 24th St, Austin, TX, 78712, USA.
2
The University of Texas at Austin, Department of Statistics and Data Science, 2317 Speedway, Austin, TX, 78712, USA.
3
Ascension Seton Medical Center, Department of Pathology, 1201W. 38th St., Austin, TX, 78705, USA.
4
The University of Texas at Austin Dell Medical School, Department of Internal Medicine, 1601 Trinity St., Austin, TX, 78712, USA.
5
The University of Texas at Austin Dell Medical School, Department of Women's Health, 1301W. 38th St., Austin, TX, 7870, USA.
6
The University of Texas at Austin, Department of Chemistry, 100 E. 24th St, Austin, TX, 78712, USA. liviase@utexas.edu.

Abstract

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.

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