The present paper aimed to find the metabolic biomarkers of Candida albicans (C. albicans) infection in early stage. The model of C. albicans-infected Wistar rats was established by tail vein injection of C. albicans liquid. Twenty rats were divided into control group and C. albicans group according to the random number table, 10 in each group. The samples were analyzed by ultra-high performance liquid chromatography/quadrupole-time-of-flight tandem mass spectrometry (UHPLC-Q-TOF-MS) combined with data-dependent acquisition. The measured data were analyzed using SIMCA-P software. Partial least squares discrimination analysis (PLS-DA), orthogonal PLS-DA (OPLS-DA) and principal component analysis (PCA) were used for pattern recognition analysis, respectively, to distinguish the differences in plasma metabolites between the C. albicans group and the control group. The possible metabolic markers were screened according to the variable importance in the projection (VIP) values of OPLS-DA model. The results showed that plasma metabolites in the two groups differed significantly. The OPLS-DA, PLS-DA and PCA models were effective methods to distinguish the two groups. The differences in 18 metabolites were preliminary confirmed. Receiver operating characteristic curve (ROC) analysis demonstrated that the areas under ROC (AUCs) of LysoPC (14∶0), LysoPC (18∶1(9Z)), LysoPC (18∶0), L-tryptophan, L-gulonic acid γ-lactone were all higher than 0.90. The study indicates that the corresponding compounds might be potential markers of Candida infection in Wistar rats, which may help the early diagnosis and treatment of C. albicans infection.