Prediction of Good Quality Blastocyst Formation by Metabolomic Profile of Spent Embryo Culture Media using FTIR Spectroscopy in Women undergoing IVF Cycle : A Cohort Prospective Study

Background: In this study, we evaluated the performance of a multivariate statistical model to predict good quality blastocyst formation by processing chemometric data from FTIR spectral of spent culture media at day 1 cultured. Methods: This study aimed to determine if metabolomic profile of spent embryo culture media using Fourier-transform infrared spectroscopy (FTIR) could predict good quality blastocyst formation using cohort prospective design. A total of 44 spent culture media from 8 patients were individually collected. Forty-four samples derived from day 1 cultured. All sample was known either form a good blastocyst or no on day 5 cultured. Samples were evaluated using FTIR spectroscopy. The spectra were analyzed using chemometric and multivariate statistical model to make group classification. K fold cross-validation was used, to avoid random correlation. AUC, sensitivity and accuracy of predicting good quality blastocyst were calculated. Results: FTIR spectroscopy predicted blastocyst formation with Area under the ROC curve (AUC) 0,752 sensitivity 73 % and accuracy 72% from day-1 spent culture media. Conclusions: Metabolomic profiling of spent embryo culture media using FTIR spectroscopy combined with bioinformatics has the potential to predict blastocyst formation.