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In-silico annotation of the chemical composition of Tibetan tea and its mechanism on antioxidant and lipid-lowering in mice

  • Ning Wang (College of Bioengineering, Sichuan University of Science and Engineering) ;
  • Linman Li (College of Bioengineering, Sichuan University of Science and Engineering) ;
  • Puyu Zhang (College of Bioengineering, Sichuan University of Science and Engineering) ;
  • Muhammad Aamer Mehmood (College of Bioengineering, Sichuan University of Science and Engineering) ;
  • Chaohua Lan (College of Bioengineering, Sichuan University of Science and Engineering) ;
  • Tian Gan (Ya'an Youyi Tea Co., Ltd) ;
  • Zaixin Li (College of Bioengineering, Sichuan University of Science and Engineering) ;
  • Zhi Zhang (College of Bioengineering, Sichuan University of Science and Engineering) ;
  • Kewei Xu (College of Bioengineering, Sichuan University of Science and Engineering) ;
  • Shan Mo (College of Bioengineering, Sichuan University of Science and Engineering) ;
  • Gang Xia (Comprehensive Agricultural Service Center of Dachuan) ;
  • Tao Wu (School of Food and Biological Engineering, Xihua University) ;
  • Hui Zhu (College of Bioengineering, Sichuan University of Science and Engineering)
  • 투고 : 2022.11.29
  • 심사 : 2023.03.06
  • 발행 : 2023.08.01

초록

BACKGROUND/OBJECTIVES: Tibetan tea is a kind of dark tea, due to the inherent complexity of natural products, the chemical composition and beneficial effects of Tibetan tea are not fully understood. The objective of this study was to unravel the composition of Tibetan tea using knowledge-guided multilayer network (KGMN) techniques and explore its potential antioxidant and hypolipidemic mechanisms in mice. MATERIALS/METHODS: The C57BL/6J mice were continuously gavaged with Tibetan tea extract (T group), green tea extract (G group) and ddH2O (H group) for 15 days. The activity of total antioxidant capacity (T-AOC) and superoxide dismutase (SOD) in mice was detected. Transcriptome sequencing technology was used to investigate the molecular mechanisms underlying the antioxidant and lipid-lowering effects of Tibetan tea in mice. Furthermore, the expression levels of liver antioxidant and lipid metabolism related genes in various groups were detected by the real-time quantitative polymerase chain reaction (qPCR) method. RESULTS: The results showed that a total of 42 flavonoids are provisionally annotated in Tibetan tea using KGMN strategies. Tibetan tea significantly reduced body weight gain and increased T-AOC and SOD activities in mice compared with the H group. Based on the results of transcriptome and qPCR, it was confirmed that Tibetan tea could play a key role in antioxidant and lipid lowering by regulating oxidative stress and lipid metabolism related pathways such as insulin resistance, P53 signaling pathway, insulin signaling pathway, fatty acid elongation and fatty acid metabolism. CONCLUSIONS: This study was the first to use computational tools to deeply explore the composition of Tibetan tea and revealed its potential antioxidant and hypolipidemic mechanisms, and it provides new insights into the composition and bioactivity of Tibetan tea.

키워드

과제정보

The authors thank Baoxiang Gu, Xiaoli Zhou and Dalong Liao for their helpful assistance in some experimental steps.

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