Literature DB >> 21715508

Green tea intake lowers fasting serum total and LDL cholesterol in adults: a meta-analysis of 14 randomized controlled trials.

Xin-Xin Zheng1, Yan-Lu Xu, Shao-Hua Li, Xu-Xia Liu, Rutai Hui, Xiao-Hong Huang.   

Abstract

BACKGROUND: The effect of green tea beverage and green tea extract on lipid changes is controversial.
OBJECTIVE: We aimed to identify and quantify the effect of green tea and its extract on total cholesterol (TC), LDL cholesterol, and HDL cholesterol.
DESIGN: We performed a comprehensive literature search to identify relevant trials of green tea beverages and extracts on lipid profiles in adults. Weighted mean differences were calculated for net changes in lipid concentrations by using fixed-effects or random-effects models. Study quality was assessed by using the Jadad score, and a meta-analysis was conducted.
RESULTS: Fourteen eligible randomized controlled trials with 1136 subjects were enrolled in our current meta-analysis. Green tea consumption significantly lowered the TC concentration by 7.20 mg/dL (95% CI: -8.19, -6.21 mg/dL; P < 0.001) and significantly lowered the LDL-cholesterol concentration by 2.19 mg/dL (95% CI: -3.16, -1.21 mg/dL; P < 0.001). The mean change in blood HDL-cholesterol concentration was not significant. Subgroup and sensitivity analyses showed that these changes were not influenced by the type of intervention, treatment dose of green tea catechins, study duration, individual health status, or quality of the study. Overall, no significant heterogeneity was detected for TC, LDL cholesterol, and HDL cholesterol; and results were reported on the basis of fixed-effects models.
CONCLUSION: The analysis of eligible studies showed that the administration of green tea beverages or extracts resulted in significant reductions in serum TC and LDL-cholesterol concentrations, but no effect on HDL cholesterol was observed.

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Year:  2011        PMID: 21715508     DOI: 10.3945/ajcn.110.010926

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  48 in total

1.  Tea consumption is inversely associated with weight status and other markers for metabolic syndrome in US adults.

Authors:  Jacqueline A Vernarelli; Joshua D Lambert
Journal:  Eur J Nutr       Date:  2012-07-10       Impact factor: 5.614

2.  Serum metabolites associate with lipid phenotypes among Bogalusa Heart Study participants.

Authors:  Xiaoying Gu; Changwei Li; Jiang He; Shengxu Li; Lydia A Bazzano; Jason M Kinchen; Wei Chen; Hua He; Dongfeng Gu; Tanika N Kelly
Journal:  Nutr Metab Cardiovasc Dis       Date:  2020-01-21       Impact factor: 4.222

3.  Tea consumption and risk of stroke: a dose-response meta-analysis of prospective studies.

Authors:  Li Shen; Liu-guang Song; Hong Ma; Chun-na Jin; Jian-an Wang; Mei-xiang Xiang
Journal:  J Zhejiang Univ Sci B       Date:  2012-08       Impact factor: 3.066

Review 4.  Antioxidants from black and green tea: from dietary modulation of oxidative stress to pharmacological mechanisms.

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Journal:  Br J Pharmacol       Date:  2016-11-12       Impact factor: 8.739

Review 5.  Green tea and cancer and cardiometabolic diseases: a review of the current epidemiological evidence.

Authors:  Sarah Krull Abe; Manami Inoue
Journal:  Eur J Clin Nutr       Date:  2020-08-20       Impact factor: 4.016

Review 6.  The role of nutraceuticals in the prevention of cardiovascular disease.

Authors:  Bozena Sosnowska; Peter Penson; Maciej Banach
Journal:  Cardiovasc Diagn Ther       Date:  2017-04

Review 7.  Mechanisms for food polyphenols to ameliorate insulin resistance and endothelial dysfunction: therapeutic implications for diabetes and its cardiovascular complications.

Authors:  Kashif M Munir; Sruti Chandrasekaran; Feng Gao; Michael J Quon
Journal:  Am J Physiol Endocrinol Metab       Date:  2013-07-30       Impact factor: 4.310

8.  Green tea consumption and mortality in Japanese men and women: a pooled analysis of eight population-based cohort studies in Japan.

Authors:  Sarah Krull Abe; Eiko Saito; Norie Sawada; Shoichiro Tsugane; Hidemi Ito; Yingsong Lin; Akiko Tamakoshi; Junya Sado; Yuri Kitamura; Yumi Sugawara; Ichiro Tsuji; Chisato Nagata; Atsuko Sadakane; Taichi Shimazu; Tetsuya Mizoue; Keitaro Matsuo; Mariko Naito; Keitaro Tanaka; Manami Inoue
Journal:  Eur J Epidemiol       Date:  2019-08-07       Impact factor: 8.082

Review 9.  Long noncoding RNAs in lipid metabolism.

Authors:  Coen van Solingen; Kaitlyn R Scacalossi; Kathryn J Moore
Journal:  Curr Opin Lipidol       Date:  2018-06       Impact factor: 4.776

10.  Habitual Coffee and Tea Consumption and Cardiometabolic Biomarkers in the UK Biobank: The Role of Beverage Types and Genetic Variation.

Authors:  Marilyn C Cornelis; Rob M van Dam
Journal:  J Nutr       Date:  2020-10-12       Impact factor: 4.798

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