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
收藏
页数:11
相关论文
共 50 条
  • [41] Mass Spectrometry Imaging and Integration with Other Imaging Modalities for Greater Molecular Understanding of Biological Tissues
    Siegel, Tiffany Porta
    Hamm, Gregory
    Bunch, Josephine
    Cappell, Jo
    Fletcher, John S.
    Schwamborn, Kristina
    [J]. MOLECULAR IMAGING AND BIOLOGY, 2018, 20 (06) : 888 - 901
  • [42] Multivariate Statistical Identification of Human Bladder Carcinomas Using Ambient Ionization Imaging Mass Spectrometry
    Dill, Allison L.
    Eberlin, Livia S.
    Costa, Anthony B.
    Zheng, Cheng
    Ifa, Demian R.
    Cheng, Liang
    Masterson, Timothy A.
    Koch, Michael O.
    Vitek, Olga
    Cooks, R. Graham
    [J]. CHEMISTRY-A EUROPEAN JOURNAL, 2011, 17 (10) : 2897 - 2902
  • [43] Integrating Rapid Evaporative Ionization Mass Spectrometry Classification with Matrix-Assisted Laser Desorption Ionization Mass Spectrometry Imaging and Liquid Chromatography-Tandem Mass Spectrometry to Unveil Glioblastoma Overall Survival Prediction
    Hendriks, Tim F. E.
    Birmpili, Angeliki
    de Vleeschouwer, Steven
    Heeren, Ron M. A.
    Cuypers, Eva
    [J]. ACS CHEMICAL NEUROSCIENCE, 2025, 16 (06): : 1021 - 1033
  • [44] Identification of oxidized phospholipids by electrospray ionization mass spectrometry and LC-MS using a QQLIT instrument
    Spickett, Corinne M.
    Reis, Ana
    Pitt, Andrew R.
    [J]. FREE RADICAL BIOLOGY AND MEDICINE, 2011, 51 (12) : 2133 - 2149
  • [45] Using probe electrospray ionization mass spectrometry and machine learning for detecting pancreatic cancer with high performance
    Chung, Wen Y.
    Correa, Elon
    Yoshimura, Kentaro
    Chang, Ming-Chu
    Dennison, Ashley
    Takeda, Sen
    Chang, Yu-Ting
    [J]. AMERICAN JOURNAL OF TRANSLATIONAL RESEARCH, 2020, 12 (01): : 171 - 179
  • [46] Screening Clones for Monoclonal Antibody Production Using Droplet Microfluidics Interfaced to Electrospray Ionization Mass Spectrometry
    D'Amico, Cara I.
    Robbins, Gillian
    Po, Iris
    Fang, Zhichao
    Slaney, Thomas R.
    Tremml, Gabi
    Tao, Li
    Ruotolo, Brandon T.
    Kennedy, Robert T.
    [J]. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY, 2023, 34 (06) : 1117 - 1124
  • [47] Differentiating Antibiotic-Resistant Staphylococcus aureus Using Secondary Electrospray Ionization Tandem Mass Spectrometry
    Li, Haorong
    Zhu, Jiangjiang
    [J]. ANALYTICAL CHEMISTRY, 2018, 90 (20) : 12108 - 12115
  • [48] IDENTIFICATION OF MOLECULAR-SPECIES OF GLYCEROPHOSPHOLIPIDS AND SPHINGOMYELIN USING ELECTROSPRAY MASS-SPECTROMETRY
    KERWIN, JL
    TUININGA, AR
    ERICSSON, LH
    [J]. JOURNAL OF LIPID RESEARCH, 1994, 35 (06) : 1102 - 1114
  • [49] Matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS): peering into the cup of Jamshid
    Valentino, L. A.
    [J]. HAEMOPHILIA, 2014, 20 (03) : 304 - 305
  • [50] Droplet Electrospray Ionization Mass Spectrometry for High Throughput Screening for Enzyme Inhibitors
    Sun, Shuwen
    Kennedy, Robert T.
    [J]. ANALYTICAL CHEMISTRY, 2014, 86 (18) : 9309 - 9314