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

Two novel serum biomarkers for endometriosis screened by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry and their change after laparoscopic removal of endometriosis

“…However, the masses of our results are not consistent with some other studies (23,24). Wang et al (23) found four potential biomarkers having molecular sizes of 3,269, 5,894, 6,096, and 8,141 Da.…”

“…Wang et al (23) found four potential biomarkers having molecular sizes of 3,269, 5,894, 6,096, and 8,141 Da. Liu et al (24) found three marker proteins having molecular sizes of 3,956, 1,1710, and 6,986 Da, with a sensitivity of 87.5% and a specificity of 85.7%.…”

Urinary peptide profiling identifies a panel of putative biomarkers for diagnosing and staging endometriosis

“…However, the majority of the markers identified with this method are either of low sensitivity and specificity, their positive predictive value is not accurate enough to be used for routine clinical purposes, or even their molecular nature is not determined. These studies have focused primarily on blood and tissues (i.e., endometrial, endometriotic, peritoneal) to analyze proteomes in endometriosis (30)(31)(32)(33)(34)(35)(36)(37).…”

Identifying biomarkers of endometriosis using serum protein fingerprinting and artificial neural networks

“…The intrasample variations observed at different times being less than 10%, the reproducibility of the protein profiling was considered satisfactory. The peaks corresponding to the different mass-dependent velocities (i.e., the different m/z ratios) of the ionized serum proteins were analyzed using artificial neural networks (ANNs) [21,22]. These advanced computer algorithms recognize complex patterns in measured input variables that other forms of analyses do not make apparent.…”