Conclusions
We used UPLC-QTOF-MS technology to comparatively analyze the uterine
secretion metabolome of samples collected from healthy cows and those
with clinical endometritis. We identified numerous differential
metabolites, including glutamic acid, benzoic acid, equol,
phenylalanine, lysoPCs, palmitic acid, lactic acid, and succinic acid.
Further experiments are required to investigate the potential use of
these differential metabolites as biomarkers for endometritis diagnosis,
particularly for defining the disease stages. Moreover, this study
demonstrates that implementing UPLC-QTOF-MS technology in uterine
secretion metabolome analysis is a promising approach for reliably
diagnosing bovine endometritis.