Abstract: In order to explore the differential expression gene information of theabrownin from Pu-erh tea (TB) on the growth-process of metabolic syndrome rats (MS). The study was based on high quality transcriptomic data obtained from metabolic syndrome rats’ liver, and the Short Time-series Expression Miner (STEM) software was used to analyze the trend of differential genes (DEGs). Then the significant trends were be analyzed by GO and KEGG enrichment. The results showed that 3009 DEGs copolymer classes in 7 significant gene expression patterns. Among them, 493 DEGs clustered in 1 significant upward trend (profile19); 248 DEGs clustered in 1 significant downward trend (profile0). The results of GO enrichment analysis showed that the significant upward trend contains DEGs enriched in 40 GO entries and the significant downward trend contains DEGs enriched in 35 GO entries. And the largest number of enriched genes were all cells, followed by cell parts and cell processes. The results of KEGG metabolic pathway enrichment analysis showed that Gnpda2, Ugp2, Cyp7a1, Sec11a, Sec61a1, Per3, Gmppa and Spcs3 gene expression in MS rats showed a linear increase after gavage different doses of TB. As the TB concentration increased, the expression of these genes also increased. However, the expression of Ste2, Mpv17l, Elovl5, Cry1, Plin2, Angptl4, Cyp4a8, Eci1, Pex11a, Cyp26b1, Cyp26a1, Crat, Pmvk, Cyp2d4, Acot5, Akr1c1, Acot4 genes showed a decreasing pattern, indicated that the expression of these genes had a linear inhibitory effect on the expression of these genes. This experiment provides TB liver gene expression profile and gene differential expression information to MS rats, reveals the gene expression rules, and provides reference and contrast for further exploration of the molecular mechanism of hypoglycemic and lipid-lowering of theabrownin from Pu-erh tea in the future.