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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
biochemistry, genetics and molecular biology
Follicular fluid biomarkers for human in vitro fertilization outcome: Proof of principle
Proteome Science, Volume 14, No. 1, Article 17, Year 2016
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Description
Background: Human follicular fluid (FF) is a unique biological fluid in which the oocyte develops in vivo, and presents an optimal source for non-invasive biochemical predictors. Oocyte quality directly influences the embryo development and hence, may be used as a predictor of embryo quality. Peptide profiling of FF and its potential use as a biomarker for oocyte quality has never been reported. Methods: This study screened FF for peptide biomarkers that predict the outcome of in vitro fertilization (IVF). Potential biomarkers were discovered by investigating 2 training datasets, consisting both of 17 samples and validating on an independent experiment containing 32 samples. Peptide profiles were acquired by nano-scale liquid chromatography coupled to tandem mass spectrometry (nano LC-MS/MS). Results: From the training datasets 53 peptides were found as potential biomarker candidates, predicting the fertilization outcome of 24 out of the 32 validation samples blindly (81.3% sensitivity, 68.8% specificity, AUC=0.86). Seven potential biomarker peptides were identified. They were derived from: insulin-like growth factor binding protein-5, alpha-2-antiplasmin, complement component 3, inter-alpha-trypsin inhibitor heavy chain H1, serum albumin, protein diaphanous homolog 1 and plastin-3. Conclusions: The MS-based comprehensive peptidomic approach carried out in this study, established a novel panel of potential biomarkers that present a promising predictive accuracy rate in fertilization outcome, and indicates FF as an interesting biomarker resource to improve IVF clinic routine. © 2016 The Author(s).
Authors & Co-Authors
Spiessens, Carl S.
Belgium, Leuven
Ku Leuven– University Hospital Leuven
D'Hooghe, Thomas Maria
Belgium, Leuven
Ku Leuven– University Hospital Leuven
Peeraer, Karen
Belgium, Leuven
Ku Leuven– University Hospital Leuven
Carpentier, Sébastien Christian
Belgium, Leuven
Ku Leuven
Statistics
Citations: 28
Authors: 4
Affiliations: 2
Identifiers
Doi:
10.1186/s12953-016-0106-9
ISSN:
14775956
Research Areas
Health System And Policy
Study Approach
Quantitative