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.