Munoz, MartaUyar, AsliCorreia, EvaDiez, CarmenFernandez-Gonzalez, AlfonsoNestor Caamano, JoseGomez, EnriqueBilgisayar Mühendisliği / Computer Engineering2024-05-252024-05-252014261573-38821573-389010.1007/s11306-013-0587-92-s2.0-84898419597https://doi.org/10.1007/s11306-013-0587-9https://hdl.handle.net/20.500.14517/777Gomez, Enrique/0000-0001-9037-9058; DIEZ, CARMEN/0000-0001-6909-7814; Fernández-González, Alfonso/0000-0001-6240-2222; Llamosas, Marta Muñoz/0000-0002-9832-3523; Correia-Álvarez, Eva/0000-0002-8677-9822; Uyar, Asli/0000-0002-7913-1083; Caamano, Jose Nestor/0000-0001-6449-5784The objective of this work was to determine whether metabolic fingerprinting of spent bovine embryo culture media using Fourier transform infrared spectroscopy (FTIR) correlates with embryonic sex. Embryos were produced in vitro from oocytes collected from cows slaughtered in an abattoir. Day-6 embryos were individually cultured in synthetic oviduct fluid for 24 h, prior to the time (Day-7) intended for embryo transfer or cryopreservation. Culture medium was analyzed by FTIR. Embryos were sexed by a PCR procedure based on amelogenin gene amplification or transferred to a recipient and sex observed at birth. Media samples from embryos diagnosed as male (n = 47) or female (n = 70) were individually collected and evaluated using FTIR. The spectra obtained were analyzed according to metabolomic profile of embryo culture media and embryonic sex. The discrimination capability of the classifiers was assessed for accuracy, sensitivity (female), sensitivity (male) and area under the ROC curve (AUC). Performance of sex prediction (%) was high within early blastocysts + blastocysts (74.4 +/- A 10.2, accuracy; 0.749 +/- A 0.099, AUC) and excellent for expanded blastocysts (86.0 +/- A 12.6, accuracy; 0.898 +/- A 0.094, AUC). A combination of metabolomic and bioinformatic analysis provides a non-invasive mean of embryonic sex analysis.eninfo:eu-repo/semantics/closedAccessAssisted reproductive technologyEmbryo developmentBovineSexFTIRMetabolic fingerprintingArticleQ3Q2103443451WOS:000334509800009