Artificial neural networks combined with surface-enhanced laser desorption/ionization mass spectra distinguish endometriosis from healthy population

Liang Wang; Wei Zheng; Jie-kai Yu; Wen-zhi Jiang; Lin Mu; Su-zhan Zhang

doi:10.1016/j.fertnstert.2007.01.055

Artificial neural networks combined with surface-enhanced laser desorption/ionization mass spectra distinguish endometriosis from healthy population

Fertil Steril. 2007 Dec;88(6):1700-2. doi: 10.1016/j.fertnstert.2007.01.055. Epub 2007 May 7.

Authors

Liang Wang¹, Wei Zheng, Jie-kai Yu, Wen-zhi Jiang, Lin Mu, Su-zhan Zhang

Affiliation

¹ Department of Gynecology, Second Affiliated Hospital, Medical College, Zhejiang University, Hangzhou, China.

PMID: 17482609
DOI: 10.1016/j.fertnstert.2007.01.055

Abstract

Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry protein chip array technology was used to detect the serum proteomic patterns in patients with endometriosis. Four potential biomarkers (8,141 m/z, 6,096 m/z, 5,894 m/z, and 3,269 m/z) were found. This method showed great potential in screening better biomarkers for endometriosis.

Publication types

Comparative Study
Evaluation Study

MeSH terms

Adult
Biomarkers / analysis
CA-125 Antigen / analysis
Endometriosis / blood
Endometriosis / diagnosis*
Female
Health
Humans
Middle Aged
Neural Networks, Computer*
Protein Array Analysis
Sensitivity and Specificity
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / methods*
Uterine Diseases / blood
Uterine Diseases / diagnosis*

Substances

Biomarkers
CA-125 Antigen