The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Mechanisms of body weight reduction and metabolic syndrome alleviation by tea
Open accessAbstract
Tea, a popular beverage made from leaves of the plant Camellia sinensis, has been shown to reduce body weight, alleviate metabolic syndrome, and prevent diabetes and cardiovascular diseases in animal models and humans. Such beneficial effects have generally been observed in most human studies when the level of tea consumption was three to four cups (600–900 mg tea catechins) or more per day. Green tea is more effective than black tea. In spite of numerous studies, the fundamental mechanisms for these actions still remain unclear. From a review of the literature, we propose that the two major mechanisms are: (i) decreasing absorption of lipids and proteins by tea constituents in the intestine, thus reducing calorie intake; and (ii) activating AMP‐activated protein kinase by tea polyphenols that are bioavailable in the liver, skeletal muscle, and adipose tissues. The relative importance of these two mechanisms depends on the types of tea and diet consumed by individuals. The activated AMP‐activated protein kinase would decrease gluconeogenesis and fatty acid synthesis and increase catabolism, leading to body weight reduction and metabolic syndrome alleviation. Other mechanisms and the health relevance of these beneficial effects of tea consumption remain to be further investigated.
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Cites
Lipinski, C. A., Lombardo, F., Dominy, B. W., & Feeney, P. J. (2001) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(00)00129-0 · Cited by 18,139
AMPK: a nutrient and energy sensor that maintains energy homeostasis
Hardie, D. G., Ross, F. A., & Hawley, S. A. (2012) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3311 · Cited by 4,602
Structure of mammalian AMPK and its regulation by ADP
Xiao, B., Sanders, M. J., Underwood, E., Heath, R., Mayer, F. V., Carmena, D., Jing, C., Walker, P. A., Eccleston, J. F., Haire, L. F., et al. (2011) · Nature · doi:10.1038/nature09932 · Cited by 926
The chemistry and biotransformation of tea constituents
Sang, S., Lambert, J. D., Ho, C.-T., & Yang, C. S. (2011) · Pharmacological Research · doi:10.1016/j.phrs.2011.02.007 · Cited by 492
Self-citationAMPK: positive and negative regulation, and its role in whole-body energy homeostasis
Hardie, D. G. (2015) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2014.09.004 · Cited by 485
Metformin Activates a Duodenal Ampk-Dependent Pathway to Lower Hepatic Glucose Production in Rats
Duca, F. A., Côté, C. D., Rasmussen, B. A., Zadeh-Tahmasebi, M., Rutter, G. A., Filippi, B. M., & Lam, T. K. T. (2015) · Nature Medicine · doi:10.1038/nm.3787 · Cited by 402
Song, Y., Manson, J. E., Buring, J. E., Sesso, H. D., & Liu, S. (2005) · Journal of the American College of Nutrition · doi:10.1080/07315724.2005.10719488 · Cited by 389
Green and Black Tea Consumption and Risk of Stroke: A Meta-Analysis
Arab, L., Liu, W., & Elashoff, D. (2009) · Stroke · doi:10.1161/strokeaha.108.538470 · Cited by 264
Effects of Catechin Enriched Green Tea on Body Composition
Wang, H., Wen, Y., Du, Y., Yan, X., Guo, H., Rycroft, J. A., Boon, N., Kovacs, E. M. R., & Mela, D. J. (2010) · Obesity · doi:10.1038/oby.2009.256 · Cited by 185
Tea and cardiovascular disease
Deka, A., & Vita, J. A. (2011) · Pharmacological Research · doi:10.1016/j.phrs.2011.03.009 · Cited by 184
Cited by
The role of polyphenols in modern nutrition
Williamson, G. (2017) · Nutrition Bulletin · doi:10.1111/nbu.12278 · Cited by 551
Chen, G., Xie, M., Wan, P., Chen, D., Ye, H., Chen, L., Zeng, X., & Liu, Z. (2018) · Food Chemistry · doi:10.1016/j.foodchem.2017.10.074 · Cited by 423
Metadata
- Authors
- Yang, C. S., Zhang, J., Zhang, L., Huang, J., & Wang, Y.
- Venue
- Molecular Nutrition & Food Research
- Publisher
- Wiley
- Published
- 2015-12-09
- Volume
- 60
- Issue
- 1
- Pages
- 160-174
- ISSN
- 1613-4125 (ISSN-L)
- 1613-4133
- OpenAlex
- W2178910175
- Cited by
- 384
- References
- 10
- FWCI
- 19.50
- Type
- journal article
- Language
- en
- Open access
- green
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