(2016) Antidepressive-like effects and antioxidant activity of green tea and GABA green tea in a mouse model of post-stroke depression. Molecular Nutrition & Food Research. pp. 566-579. ISSN 1613-4125
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Abstract
Scope: Growing evidence suggests that oxidative stress plays a role in the development of chronic diseases such as cardiovascular disease and some psychiatric disorders. Tea consumption exerts beneficial effects against damage induced by cerebral ischemia-reperfusion in ischemic stroke and depressive symptoms in depression. The aim of this study was to evaluate, in vivo, the protective activity of green tea (GT) and GABA green tea (GGT) against post-stroke depression (PSD), a common consequence of stroke. Methods and results: The antidepressive-like effects of GT and GGT were determined by behavioral tests in a mouse model of post-stroke depression. The antioxidant activity was evaluated by GSH, SOD, and TBARS measurements on mouse brain. The chemical composition of tea extracts was characterized through chromatographic methods. GGT and GT resulted active in the modulation of depressive symptoms and the reduction of oxidative stress, restoring normal behavior, and at least in part, antioxidant endogenous defenses. The higher polyphenol, theanine, glutamine, and caffeine content may justify the higher activity found in GGT. Conclusions: This work represents the first attempt to demonstrate the positive effect of tea, and especially GGT, on post-stroke depression and to correlate this effect with the antioxidant activity and phytochemical composition of tea.
Item Type: | Article |
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Keywords: | Antidepressive-like effects GABA green tea Green tea In vivo antioxidant activity Post-stroke depression induced oxidative stress camellia-sinensis stroke polyphenols tissue derivatives quercetin mortality caffeine theanine Food Science & Technology |
Divisions: | |
Page Range: | pp. 566-579 |
Journal or Publication Title: | Molecular Nutrition & Food Research |
Journal Index: | ISI |
Volume: | 60 |
Number: | 3 |
Identification Number: | https://doi.org/10.1002/mnfr.201500567 |
ISSN: | 1613-4125 |
Depositing User: | مهندس مهدی شریفی |
URI: | http://eprints.bmsu.ac.ir/id/eprint/5092 |
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