Introduction: Green tea is related to the reduction of liver enzymes, lipoprotein, and body mass index. However, some reports related green tea to the risk of developing liver cancer, but their outcomes were conflicting. Hence, the present study aimed to determine the relationship between green tea intake and lipoprotein, liver enzymes, body mass index, and liver cancer.
Methods: A systematic literature search up to January 2022 was performed and 22 studies with a total of 169599 subjects participated in the studies with 97316 subjects of them used green tea intake. Odds ratio (OR) or standardized mean difference (MD) with 95% confidence intervals (CIs) was calculated to evaluate the relationship between green tea intake and lipoprotein, liver enzymes, body mass index, and liver cancer using the dichotomous or the contentious method with a random effect model.
Results: Green tea intake significantly lowered the risk of developing liver cancer (OR, 0.85; 95% CI, 0.74 to 0.97, = 0.02), and body mass index (MD, -0.69; 95% CI, -0.95to -0.42, < 0.001) compared to no green tea intake. Also, there was a significant lowering effect of green tea intake on liver enzymes including alanine aminotransferase (MD, -0.65; 95% CI, -0.92 to -0.38, < 0.001), and aspartate aminotransferase (MD, -0.77; 95% CI, -1.40 to -0.14, = 0.02) compared to no green tea intake. There was also a significant lowering effect of green tea intake on lipoprotein including triglycerides (MD, -0.70; 95% CI, -1.35 to -0.04, = 0.04), total cholesterol (MD, -0.39; 95% CI, -0.74 to -0.04, = 0.03) and law-density lipoprotein (MD, -0.44; 95% CI, -0.69- -0.19, < 0.001) compared to no green tea intake. However, no significant different was found between green tea intake and no green tea intake on high-density lipoprotein (MD, 0.16; 95% CI, -0.11 to 0.44, = 0.24).
Conclusions: Based on this meta-analysis, green tea intake had a significant lowering effect on the risk of developing liver cancer and had a significantly improving effect on body mass index, liver enzymes, and lipoprotein compared to no green tea intake. These results suggest that green tea may be added to the daily dietary program to improve cardiovascular status with no possible risk of liver cancer. It even may have a protecting effect against liver cancer in the usual daily number of cups.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1080/10408398.2022.2113360 | DOI Listing |
J Sep Sci
January 2025
School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China.
Tea saponin has garnered tremendous interest for its potential use in surfactant and drug synthesis. This research was designed to develop a technique based on pH-responsive switchable deep eutectic solvents (SDESs) for extracting tea saponins from Camellia oleifera seed meal. SDES synthesized from hexanoic acid and triethanolamine (1:1 molar ratio) offered the optimum extractive performance and the optimal conditions were obtained through single-factor experiments: 30 wt% water content in SDES, solid-liquid ratio of 1:30 g/mL, 60°C extraction temperature, 30 min extraction time, and acid volume of 1500 µL.
View Article and Find Full Text PDFVet Med Sci
January 2025
Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran.
Background: Today, customers pay more attention to the feed composition and carcasses of poultry, and the interest in using natural and safe compounds such as medicinal plants and their extracts in animal feed is increasing.
Objectives: The present experiment was conducted to assess the effect of green tea (Camellia sinensis) and mulberry (Morus alba) leaves powder on the meat quality, intestinal microbiology and serum biochemical parameters in broilers.
Methods: The experiment was conducted with 648 one-day-old Ross 308 broiler male chicks with a factorial arrangement including three levels of green tea powder (GTP) and three levels of mulberry leaf powder (MLP), with nine treatments and six replications in a completely randomized design for 42 days.
Int J Biol Macromol
January 2025
Beijing Key Laboratory for Bioengineering and Sensing Technology, Daxing Research Institute, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China. Electronic address:
This study focuses on the development and application of tea polyphenol-loaded chitosan/polyaspartic acid nanoparticles (TP@CS/PASP-Nps) embedded within polyvinyl alcohol (PVA) nanofibers to extend the shelf life of fruit. The nanofibers were fabricated using electrospinning, which enhanced the stability and uniform dispersion of the nanoparticles. Experimental results demonstrated that the TP@CS/PASP nanoparticles exhibit significant pH and protease-responsive release of TP, with a cumulative release of 56.
View Article and Find Full Text PDFHeliyon
January 2025
Department of Food Science and Technology, Lahijan Branch, Islamic Azad University, Lahijan, Iran.
This research aimed to produce a multifunctional bread by adding hydrothermally processed rice bran (RB), green tea extract (GTE), and rosemary extract (RE). In the first step, hydrothermal processing was used to reduce the amount of phytic acid in RB, which decreased by 55 %. Based on the acrylamide amount, texture profile analysis, and color parameters, 3 % RB was selected as the optimum concentration in the bread formulation.
View Article and Find Full Text PDFSci Rep
January 2025
College of Intelligent Systems Science and Engineering, Hubei Minzu University, Enshi, 445000, China.
This paper addresses the low level of intelligence in tea processing equipment in Enshi Prefecture by designing an intelligent withering control system based on the STMicroelectronics 32-bit Microcontroller (STM32). This control system can achieve real-time monitoring of the withering environment and automate the control of heating and ventilation dehumidification modules. By integrating IoT technology, relevant users can view the tea production process via mobile devices, enabling intelligent and remote production operations.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!