Project description:Emerging in vivo and vitro data suggest that white tea extract (WTE) is capable of favourably modulating metabolic syndrome, especially by ameliorating abnormal lipid metabolism. Microarray-based gene expression profiling was performed in HepG2 cells to analyze the effects of WTE from a systematic perspective. Gene Ontology and pathway analysis revealed that WTE significantly affected pathways related to lipid metabolism. WTE significantly downregulated apolipoprotein B (APOB) and microsomal triglyceride transfer protein (MTTP) expression and thereby reduced the production of very-low-density lipoprotein. In the meanwhile, WTE stimulated low-density lipoprotein-cholesterol (LDL-c) uptake through targeting low-density lipoprotein receptor (LDLR), as a consequence of the activation of sterol regulatory element-binding protein 2 (SREBP2) and peroxisome proliferator-activated receptor δ (PPARδ). Furthermore, WTE significantly downregulated triglycerides synthetic genes and reduced intracellular triglycerides accumulation. Besides, we demonstrated that the tea catechins epigallocatechin-3-gallate (EGCG) and epicatechin-3-gallate (ECG) are abundant in WTE and contribute to the regulation of cholesterol metabolism related genes, including LDLR, MTTP and APOB. Our findings suggest white tea plays important roles in ameliorating abnormal lipid metabolism in vitro.
Project description:Metabolic disorders, such as obesity and type 2 diabetes, are major public health concerns worldwide. Dietary interventions, such as tea consumption, have been suggested as an effective strategy to prevent and treat metabolic disorders. White adipose tissue, as the main energy storage organ in mammals, plays a critical role in the regulation of whole-body metabolism. Recent studies have shown that the microenvironmental cell composition and metabolic network of white adipose tissue can be modulated by dietary factors, including tea consumption. However, the underlying mechanisms and the effects of tea consumption on white adipose tissue in the context of high-fat diet-induced metabolic disorders are not fully understood. Therefore, this study aimed to investigate the effects of tea consumption on the microenvironmental cell composition and metabolic network of white adipose tissue in high-fat diet-fed mice.
Project description:White tea is considered the least processed form of tea and is reported to have a series of potent bioactivities, such as antioxidant, anti-inflammatory, anti-mutagenic, and anti-cancer activities. However, the chemical composition of white tea and the dynamic changes of the metabolites during the manufacturing process are far from clear. In this study, we applied a nontargeted metabolomics approach based on ultra-high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry to comprehensively profile the characteristic metabolites of white tea. There were significant differences in the content of amino acids, catechins, dimeric catechins, flavonol and flavone glycosides, and aroma precursors in white tea compared with green and black teas that were manufactured from the same fresh tea leaves. Furthermore, the dynamic changes of the metabolites in the tea samples with various withering durations of 0, 4, 8, 12, 16, 20, 24, 28, and 36 h were also profiled. To the best of our knowledge, this study offers the most comprehensive characterization of the metabolites and their changes in white tea.
Project description:Solexa sequencing technology was used to perform high throughput sequencing of the small RNA library from the cold treatment of tea leaves. Subsequently, aligning these sequencing date with plant known miRNAs, we characterized 112 C. sinensis conserved miRNAs. In addition, 215 potential candidate miRNAs were found; among them, 131 candidates with star sequence were chosen as novel miRNAs. There are both congruously and differently regulated miRNAs, and line-specific miRNAs were identified by microarray-based hybridization in response to cold stress. The miRNA chip included 3228 miRNA probes corresponding to miRNA transcripts listed in Sanger miRBase release 19.0 and 283 novel miRNAs probes founding in tea plant. In the study presented here, two tea plant cultivars, ‘Yingshuang’ (YS, a cold-tolerant tea plant cultivar) and ‘Baiye 1’ (BY, a cold-sensitive tea plant cultivar), were kept at 4°C for 4,12, 24 h, respectively, and 28°C for as control. These samples were used to acquire expression profiles of a total of 3,511 unique genes, leading to the successful construction of supervised
Project description:Solexa sequencing technology was used to perform high throughput sequencing of the small RNA library from the cold treatment of tea leaves. Subsequently, aligning these sequencing date with plant known miRNAs, we characterized 112 C. sinensis conserved miRNAs. In addition, 215 potential candidate miRNAs were found; among them, 131 candidates with star sequence were chosen as novel miRNAs. There are both congruously and differently regulated miRNAs, and line-specific miRNAs were identified by microarray-based hybridization in response to cold stress. The miRNA chip included 3228 miRNA probes corresponding to miRNA transcripts listed in Sanger miRBase release 19.0 and 283 novel miRNAs probes founding in tea plant.
Project description:To investigate the large-scale gene expression in different tea clones, a custom oligo microarray was developed using sequences from RNA-seq for probe designing. We succeeded in developing a tea oligo microarray resource which can be successfully used to analyze gene expression in any tea clones without the need for prior sequence knowlege.
Project description:Purpose: Microarray technologies provide a unique opportunity to deeply investigate bacterial molecular responses to treatments. Pseudomonas syringae pv. actinidiae (Psa) is the causal agent of the bacterial canker of kiwifruit causing severe economic losses worldwide. At present, integrated control strategies include chemical treatments with copper-based products and preventive measures but the high virulence and fast spreading of the bacterium are hardly controlled by such measures, and especially copper use is questioned because of the possible appearance of copper resistant bacterial strains. The present project aims at the identification of Psa responses to green tea treatment (Gunpowder variety) at sub-lethal concentration (0.4 mg/ml). Methods: Psa cells were cultured in liquid KB (controls) or in KB supplemented with Gunpowder tea (Gunpowder-trateted) at 0.4 mg/ml EGCG for 24 h at 28°C. The microarray experiments on Gunpowder treated or untreated samples in biological triplicate resulted in 6 samples to be analyzed. Conclusions: This work identified important molecular mechanisms involved in Psa responses upon Gunpowder green tea treatment.
Project description:Non-alcoholic fatty liver disease (NAFLD) is one of the leading causes of liver disease, which lacks effective treatments. Abnormal lipid metabolism and inflammation are the most prominent pathological manifestations of NAFLD. Recently, it has been reported that white tea extract (WTE) can regulate lipid metabolism in human adipocytes and liver cancer cells in vitro. However, its beneficial effects on NAFLD and the underlying mechanisms remain largely unknown. Here, we showed that WTE alleviated obesity, lipid accumulation, hepatic steatosis, and liver injury in a mouse model of NAFLD. Mechanistically, we demonstrated that WTE exerted the anti-NAFLD effect by decreasing the expression of genes involved in lipid transport and synthesis processes while activating genes associated with energy expenditure. In addition, a comparison of the transcriptional responses of WTE with that of green tea extract (GTE) revealed that WTE can not only regulate lipid metabolism and stress response like GTE but also regulate antioxidant and inflammatory pathways more effectively. Taken together, our findings demonstrate that WTE inhibits the progression of NAFLD in a mouse model and indicate that WTE can be a potential dietary intervention for NAFLD.
Project description:We investigated the effect of green tea extract on phenotype characteristics and elucidated anti-obesity mechanism based on RNA-seq transcriptomic profiles in an obesity animal model.