Plain language summary
Previous research suggests that tea consumption is linked to a lower risk of depression, but it is not understood why. This meta-analysis and literature review looked at previous human, animal and laboratory studies that might give an indication of the mechanisms by which drinking tea can lead to a reduced depression risk. Tea contains many different active compounds such as L-theanine, various polyphenols and polyphenol metabolites that have effects on the immune system, stress response, brain neurotransmitters such as serotonin and dopamine, and gut bacteria. Different types of tea such as black, green or oolong tea contain different amounts of active compounds. The authors found that these compounds are capable of functioning through multiple pathways simultaneously that together reduce the risk of depression. The authors concluded that daily consumption of moderate amounts of different types of tea may offer significant potential benefit in the risk reduction of depression.
Abstract
This article is a comprehensive review of the literature pertaining to the antidepressant effects and mechanisms of regular tea consumption. Meta-data supplemented with recent observational studies were first analyzed to assess the association between tea consumption and depression risk. The literature reported risk ratios (RR) were 0.69 with 95% confidence intervals of 0.62-0.77. Next, we thoroughly reviewed human trials, mouse models, and in vitro experiments to determine the predominant mechanisms underlying the observed linear relationship between tea consumption and reduced risk of depression. Current theories on the neurobiology of depression were utilized to map tea-mediated mechanisms of antidepressant activity onto an integrated framework of depression pathology. The major nodes within the network framework of depression included hypothalamic-pituitary-adrenal (HPA) axis hyperactivity, inflammation, weakened monoaminergic systems, reduced neurogenesis/neuroplasticity, and poor microbiome diversity affecting the gut-brain axis. We detailed how each node has subsystems within them, including signaling pathways, specific target proteins, or transporters that interface with compounds in tea, mediating their antidepressant effects. A major pathway was found to be the ERK/CREB/BDNF signaling pathway, up-regulated by a number of compounds in tea including teasaponin, L-theanine, EGCG and combinations of tea catechins and their metabolites. Black tea theaflavins and EGCG are potent anti-inflammatory agents via down-regulation of NF-κB signaling. Multiple compounds in tea are effective modulators of dopaminergic activity and the gut-brain axis. Taken together, our findings show that constituents found in all major tea types, predominantly L-theanine, polyphenols and polyphenol metabolites, are capable of functioning through multiple pathways simultaneously to collectively reduce the risk of depression.
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