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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
Combined mRNA microarray and proteomic analysis of eutopic endometrium of women with and without endometriosis
Human Reproduction, Volume 27, No. 7, Year 2012
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Description
Background An early semi-invasive diagnosis of endometriosis has the potential to allow early treatment and minimize disease progression but no such test is available at present. Our aim was to perform a combined mRNA microarray and proteomic analysis on the same eutopic endometrium sample obtained from patients with and without endometriosis. Methods mRNA and protein fractions were extracted from 49 endometrial biopsies obtained from women with laparoscopically proven presence (n 31) or absence (n 18) of endometriosis during the early luteal (n 27) or menstrual phase (n 22) and analyzed using microarray and proteomic surface enhanced laser desorption ionization-time of flight mass spectrometry, respectively. Proteomic data were analyzed using a least squares-support vector machines (LS-SVM) model built on 70 (training set) and 30 of the samples (test set). Results mRNA analysis of eutopic endometrium did not show any differentially expressed genes in women with endometriosis when compared with controls, regardless of endometriosis stage or cycle phase. mRNA was differentially expressed (P< 0.05) in women with (925 genes) and without endometriosis (1087 genes) during the menstrual phase when compared with the early luteal phase. Proteomic analysis based on five peptide peaks [2072 mass/charge (m/z); 2973 m/z; 3623 m/z; 3680 m/z and 21133 m/z] using an LS-SVM model applied on the luteal phase endometrium training set allowed the diagnosis of endometriosis (sensitivity, 91; 95 confidence interval (CI): 7498; specificity, 80; 95 CI: 6697 and positive predictive value, 87.9; negative predictive value, 84.8) in the test set. Conclusion mRNA expression of eutopic endometrium was comparable in women with and without endometriosis but different in menstrual endometrium when compared with luteal endometrium in women with endometriosis. Proteomic analysis of luteal phase endometrium allowed the diagnosis of endometriosis with high sensitivity and specificity in training and test sets. A potential limitation of our study is the fact that our control group included women with a normal pelvis as well as women with concurrent pelvic disease (e.g. fibroids, benign ovarian cysts, hydrosalpinges), which may have contributed to the comparable mRNA expression profile in the eutopic endometrium of women with endometriosis and controls. © The Author 2012. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology. All rights reserved.
Authors & Co-Authors
Fassbender, Amelie
Belgium, Leuven
Ku Leuven
Verbeeck, Nico
Belgium, Leuven
Ku Leuven
Belgium, Leuven
Systems Biology Based Mass Spectrometry Centre
Belgium, Leuven
Future Health Department
Brnigen, D.
Belgium, Leuven
Ku Leuven
Belgium, Leuven
Future Health Department
Kyama, Cleophas Mutinda
Belgium, Leuven
Ku Leuven
Kenya, Nairobi
Jomo Kenyatta University of Agriculture and Technology
Bokor, Attila Z.
Belgium, Leuven
Ku Leuven
Hungary, Budapest
Semmelweis Egyetem
Vodolazkaia, Alexandra
Belgium, Leuven
Ku Leuven
Peeraer, Karen
Belgium, Leuven
Ku Leuven
Tomassetti, Carla
Belgium, Leuven
Ku Leuven
Meuleman, Christel L.
Belgium, Leuven
Ku Leuven
Gevaert, A. Olivier
Belgium, Leuven
Ku Leuven
United States, Stanford
Stanford University School of Medicine
Van de Plas, Raf
United States, Nashville
Vanderbilt University School of Medicine
Ojeda, Fabian
Belgium, Leuven
Ku Leuven
Belgium, Leuven
Systems Biology Based Mass Spectrometry Centre
de Moor, Bart L.R.
Belgium, Leuven
Ku Leuven
Belgium, Leuven
Future Health Department
Moreau, Yves
Belgium, Leuven
Ku Leuven
Belgium, Leuven
Future Health Department
Waelkens, Etienne
Belgium, Leuven
Systems Biology Based Mass Spectrometry Centre
Belgium, Leuven
Ku Leuven
D'Hooghe, Thomas Maria
Belgium, Leuven
Ku Leuven
Kenya, Nairobi
National Museums of Kenya
Statistics
Citations: 68
Authors: 16
Affiliations: 8
Identifiers
Doi:
10.1093/humrep/des127
ISSN:
02681161
Research Areas
Cancer
Sexual And Reproductive Health
Study Design
Randomised Control Trial
Participants Gender
Female