The raw data files generated by UHPLC-MS/MS were processed using the Compound Discoverer 3.1 (CD3.1, ThermoFisher) to perform peak alignment, peak picking, and quantitation for each metabolite. After that, peak intensities were normalized to the total spectral intensity. The normalized data were used to predict the molecular formula based on additive ions, molecular ion peaks and fragment ions. And then peaks were matched with the mzCloud, mzVault and MassList databases to obtain accurate qualitative and relative quantitative results.
Variable importance in projection (VIP) ≥ 1, |log2 fold change|≥ 1 and p < 0.05 were identified as the significantly accumulated metabolites (DEMs) between LCu and LCG, SCu and SCG. The functions of the DEMs enriched pathways were studied using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database (