The invention relates to the technical field of assisted
reproduction, and provides a method for predicting
embryo uploidy through
blastocyst cavity fluid
metabolite and application of the method. According to the method, the embryonic
chromosome uploidy condition is predicted by detecting the content of pyroglutamic acid in the
blastocyst cavity liquid, and accurate quantitative analysis of the pyroglutamic acid in a trace amount of the
blastocyst cavity liquid can be realized by adopting a nano
electrospray ionization-
mass spectrometry (nanoESI-MS) detection technology. Researches find that the content of pyroglutamic acid in aneuploid blastocyst cavity fluid is obviously higher than that of the aneuploid blastocyst, and ROC
curve analysis shows that pyroglutamic acid has certain diagnostic value. The invention further constructs a prediction model based on the content of pyroglutamic acid, training and
verification are carried out through a
machine learning method, and the result shows that the model can effectively predict
embryo uploidy, a new theoretical basis and an intervention target are provided for
embryo quality evaluation in an assisted
reproduction technology, the success rate and safety of assisted
reproduction can be improved, and the method is suitable for popularization and application. And the risk caused by the aneuploid embryo is reduced.