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Cited by 240

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Molecular targets of tea polyphenols in the cardiovascular system

STANGL, V, DREGER, H, STANGL, K, LORENZ, M·2007·Cardiovascular Research

Abstract

Tea-derived polyphenols have attracted considerable attention in the prevention of cancer and cardiovascular diseases. In comparison to tumour cells, the elucidation of their molecular targets in cardiovascular relevant cells is still at the beginning. Although promising experimental and clinical data demonstrate protective effects for the cardiovascular system, little information is actually available on how these beneficial effects of tea polyphenols are mediated at the cellular level. By affecting the activity of receptor and signal transduction kinases, both catechins and theaflavins--the major ingredients of green and black tea, respectively--exert a variety of cardiovascular beneficial effects. In general, the number and positions of galloyl groups have major influence on the potency of polyphenols. Compared to their broad impact on cellular signal transduction, tea polyphenols reveal little transcriptional effects. However, more detailed and profound analysis of molecular actions in different cells of the cardiovascular system is necessary before safe clinical use of tea polyphenols for treatment of cardiovascular diseases will become possible.

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Metadata

Authors
STANGL, V, DREGER, H., STANGL, K., & LORENZ, M.
Venue
Cardiovascular Research
Published
2007-01-15
Volume
73
Issue
2
Pages
348-358
ISSN
0008-6363 (ISSN-L)
OpenAlex
W2170517367
Cited by
240
References
6
FWCI
8.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Molecular targets of tea polyphenols in the cardiovascular system. https://app.cochat.ai/papers/10.1016/j.cardiores.2006.08.022
The paper
STANGL, V, DREGER, H., STANGL, K., & LORENZ, M. (2007). Molecular targets of tea polyphenols in the cardiovascular system. Cardiovascular Research. https://doi.org/10.1016/j.cardiores.2006.08.022

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.