Identification biomarkers of eutopic endometrium in endometriosis using artificial neural networks and protein fingerprinting

Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) protein chip array technology was used to detect biomarkers of eutopic endometrium in endometriosis patients. Five potential biomarkers (6,898 m/z , 5,891 m/z , 5,385 m/z , 6,448 m/z , and 5,425 m/z ) were f...

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Bibliographic Details
Published in:Fertility and sterility 2010-05, Vol.93 (7), p.2460-2462
Main Authors: Wang, Liang, M.D, Zheng, Wei, M.D, Ding, Xiao-yan, M.D, Yu, Jie-kai, Ph.D, Jiang, Wen-zhi, Zhang, Su-zhan, M.D., Ph.D
Format: Article
Language:English
Subjects:
Adult
Biological and medical sciences
Biomarkers - analysis
Biomarkers - metabolism
Case-Control Studies
Early Diagnosis
Endometriosis
Endometriosis - diagnosis
Endometriosis - metabolism
Endometriosis - pathology
Endometrium - chemistry
Endometrium - metabolism
Endometrium - pathology
eutopic endometrium
Female
Female genital diseases
Gynecology. Andrology. Obstetrics
Humans
Internal Medicine
ionization time of flight
Medical sciences
Middle Aged
Neural Networks (Computer)
Non tumoral diseases
Obstetrics and Gynecology
Peptide Mapping - methods
Protein Array Analysis
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
surface-enhanced laser desorption
Uterine Diseases - diagnosis
Uterine Diseases - metabolism
Uterine Diseases - pathology
Young Adult
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Summary:Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) protein chip array technology was used to detect biomarkers of eutopic endometrium in endometriosis patients. Five potential biomarkers (6,898 m/z , 5,891 m/z , 5,385 m/z , 6,448 m/z , and 5,425 m/z ) were found.
ISSN:0015-0282
1556-5653
DOI:10.1016/j.fertnstert.2009.08.061