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BioMed Research International
Volume 2014 (2014), Article ID 608579, 8 pages
Research Article

Metabolomic Prediction of Pregnancy Viability in Superovulated Cattle Embryos and Recipients with Fourier Transform Infrared Spectroscopy

1Centro de Biotecnología Animal-SERIDA, Camino de Rioseco 1225, La Olla-Deva, Gijón, 33394 Asturias, Spain
2Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, 310 Cedar Street, LSOG 304B, New Haven, CT 06520, USA
3Department of Computer Engineering, Okan University, Tuzla, 34959 Istanbul, Turkey
4UNCEIA, Department of Research and Development, 13 rue Jouet, 94704 Maisons Alfort, France
5UNCEIA, Station Expérimentale, 484 Chemin Darefin, 38300 Chateauvillain, France
6U.T.E. Bos-Lugar de Bos, Guísamo, Bergondo, 15640 A Coruña, Spain
7EMBRIOVET S.L., Rois 18 K, Bergondo, 15165 A Coruña, Spain
8Servicios Científico Técnicos (Oviedo), Universidad de Oviedo, Oviedo, 33006 Asturias, Spain
9Department of Clinical Sciences, Swedish University of Agricultural Sciences (SLU), P.O. Box 7054, 75007 Uppsala, Sweden

Received 24 February 2014; Accepted 30 March 2014; Published 15 April 2014

Academic Editor: Luigi Barberini

Copyright © 2014 Marta Muñoz et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We analyzed embryo culture medium (CM) and recipient blood plasma using Fourier transform infrared spectroscopy (FTIR) metabolomics to identify spectral models predictive of pregnancy outcome. Embryos collected on Day 6 from superovulated cows in 2 countries were individually cultured in synthetic oviduct fluid medium with BSA for 24 h before embryo transfer. Spent CM, blank controls, and plasma samples (Day 0 and Day 7) were evaluated using FTIR. The spectra obtained were analyzed. The discrimination capability of the classifiers was assessed for accuracy, sensitivity (pregnancy), specificity (nonpregnancy), and area under the ROC curve (AUC). Endpoints considered were Day 60 pregnancy and birth. High AUC was obtained for Day 60 pregnancy in CM within individual laboratories (France , Spain ), while cumulative data decreased the AUC ( ). Predictions for CM at birth were lower than Day 60 pregnancy. Predictions with plasma at birth improved cumulative over individual results (Day 0: France ; Spain ; cumulative ). Plasma generally predicted pregnancy and birth better than CM. These first results show that FTIR metabolomics could allow the identification of embryos and recipients with improved pregnancy viability, which may contribute to increasing the efficiency of selection schemes based on ET.