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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
Endometriosis is associated with aberrant metabolite profiles in plasma
Fertility and Sterility, Volume 107, No. 3, Year 2017
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Description
Objective To identify metabolites that are associated with and predict the presence of endometriosis. Design Metabolomics study using state-of-the-art mass spectrometry approaches. Setting University hospital and universities. Patient(s) Twenty-five women with laparoscopically confirmed endometriosis (cases) and 19 women with laparoscopically documented absence of endometriosis (controls). None of the women included in this study had received oral contraception or GnRH agonists for a minimum of 1 month before blood collection. Intervention(s) Plasma collection. Main Outcome Measure(s) Metabolite profiles were generated and interrogated using multiple mass spectrometry methods, that is, high performance liquid chromatography coupled with negative mode electrospray ionization tandem mass spectrometry, UPLC-MS/MS, and ultra performance liquid chromatography-electroSpray ionization-quadrupole time-of-flight (UPLC-ESI-Q-TOF). Metabolite groups investigated included phospholipids, glycerophospholipids, ether-phospholipids, cholesterol-esters, triacylglycerol, sphingolipids, free fatty acids, steroids, eicosanoids, and acylcarnitines. Result(s) A panel of acylcarnitines predicted the presence of endometriosis with 88.9% specificity and 81.5% sensitivity in human plasma, with a positive predictive value of 75%. However, due to data limitations the outcome of the receiver operating characteristic curve analysis was not significant. Conclusion(s) A diagnostic model based on acylcarnitines has the potential to predict the presence and stage of endometriosis. © 2017 American Society for Reproductive Medicine
Authors & Co-Authors
Letsiou, Sophia
Netherlands, Utrecht
University Medical Center Utrecht
Fassbender, Amelie
Belgium, Leuven
Ku Leuven
Hendriks, Margriet M.W.B.
Netherlands, Leiden
Universiteit Leiden
Berger, Ruud
Netherlands, Leiden
Universiteit Leiden
Dorien, O. F.
Belgium, Leuven
Ku Leuven
Vanhie, Arne
Belgium, Leuven
Ku Leuven
Vodolazkaia, Alexandra
Belgium, Leuven
Ku Leuven
Harms, A. C.
Netherlands, Leiden
Universiteit Leiden
Vreeken, Rob J.
Netherlands, Leiden
Universiteit Leiden
Dolmans, Marie Madeleine
Belgium, Louvain-la-neuve
Université Catholique de Louvain
D'Hooghe, Thomas Maria
Belgium, Leuven
Ku Leuven
Statistics
Citations: 31
Authors: 11
Affiliations: 4
Identifiers
Doi:
10.1016/j.fertnstert.2016.12.032
ISSN:
00150282
Research Areas
Health System And Policy
Sexual And Reproductive Health
Study Design
Randomised Control Trial
Participants Gender
Female