RESUMO
Aim To explore its potential biological basis and the endogenous metabolic characteristics of urine during the formation of primary dysmenorrhea via untargeted urine metabolomics. Methods Twenty SD rats were randomly divided into control group and model group. The primary dysmenorrhea model was reproduced by estradiol benzoate combined with oxytocin, and the contrrol group took food and water freely. The differential metabolites and core metabolic pathways were found by multivariable pattern recognition method combined with ultra-high performance liquid chromatography quadrupole time-of-flight mass spectrometry. The receiver operating characteristic ( ROC ) curve was drawn by metaboanalyst 5.0 platform to evaluate the clinical diagnostic efficacy of core metabolites. Results A total of 46 metabolites with significant differences, such as hippuric acid, phenylacetaldehyde, prostaglandin G2, 6-hydroxy-5-methoxyindole glucuronide, were screened, mainly involving phenylalanine metabolism, pentose and glucuronate interconversions, and arachidonic acid metabolism. ROC curve showed that the area under the curve of four core biomarkers was greater than 0.7. Conclusions Different metabolic maps are presented in different progressive stages of primary dysmenorrhea, mainly involving the disorders of fatty acid metabolism, carbohydrate metabolism and amino acid metabolism. Meanwhile, the extracted characteristic bi¬omarkers have high diagnostic value for the evaluation of primary dysmenorrhea.