Cited by 30Endometriosis Research and TreatmentAdvanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

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

Open access
Wang, Liang, Zheng, Wei, Ding, Xiao-yan, Yu, Jie-kai, Jiang, Wen-zhi, Zhang, Su-zhan·2010·Fertility and Sterility

Abstract

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.

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Crossref · 10.1016/j.fertnstert.2009.08.061

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  • Wang et al. identified five differentially expressed peptide peaks (5.385 m/z, 5.425 m/z, 5.891 m/z, 6.448 m/z, and 6.898 m/z) in endometrium from 13 women with and 13 women without endometriosis that collectively showed 91.7% sensitivity and 90% specificity in the diagnosis of endometriosis.

    “Wang et al. performed proteomic profiling of endometrium from 13 women with and 13 women without endometriosis identifying five differentially expressed peptide peaks (5.385 m/z, 5.425 m/z, 5.891 m/z, 6.448 m/z, and 6.898 m/z) that collectively showed 91.7% sensitivity and 90% specificity in the diagnosis of endometriosis [132].”

    From Update on biomarkers for the detection of endometriosis (2015) · cites this paper as [132]

  • Menstrual cycle phase of endometrial samples was not specified in several of the studies.

    “Specifically, menstrual cycle phase of endometrial samples was not specified in several of the studies [132, 135], and only one randomly divided endometrial samples into training and test sets [131].”

    From Update on biomarkers for the detection of endometriosis (2015) · cites this paper as [132]

  • Several groups have reported unique proteomic profiles using the SELDI-TOF MS platform in eutopic endometrial specimens from women with and without endometriosis.

    “Several groups have reported unique proteomic profiles using the SELDI-TOF MS platform in eutopic endometrial specimens from women with and without endometriosis [131, 132].”

    From Update on biomarkers for the detection of endometriosis (2015) · cites this paper as [132]

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Authors
Wang, L., Zheng, W., Ding, X.-Y., Yu, J.-K., Jiang, W.-Z., & Zhang, S.-Z.
Affiliations
Second Affiliated Hospital of Zhejiang University (CN)
Venue
Fertility and Sterility
Publisher
Elsevier BV
Published
2010-05
Volume
93
Issue
7
Pages
2460-2462
ISSN
0015-0282 (ISSN-L)
OpenAlex
W2126964060
Cited by
30
References
11
Citations by year
2026: 1 · 2025: 1 · 2024: 4 · 2022: 1 · 2020: 1 · 2019: 1 · 2017: 2 · 2016: 3 · 2015: 2 · 2014: 3 · 2013: 4 · 2012: 3
FWCI
4.17
Type
journal article
Language
en
Open access
Locations
  • Fertility and Sterility (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Reproductive Medicine › Endometriosis Research and Treatment
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
  • Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
Keywords
endometriosis, eutopic endometrium, biomarkers, SELDI-TOF-MS, protein fingerprinting, artificial neural networks
MeSH terms
Adult, Endometriosis, Endometrium, Female, Humans, Middle Aged, Peptide Mapping, Uterine Diseases, Biomarkers, Case-Control Studies, Neural Networks, Computer, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, Protein Array Analysis, Early Diagnosis, Young Adult

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