Literature DB >> 22559253

Metabolic fate of tea polyphenols in humans.

Guoxiang Xie1, Aihua Zhao, Linjing Zhao, Tianlu Chen, Huiyuan Chen, Xin Qi, Xiaojiao Zheng, Yan Ni, Yu Cheng, Ke Lan, Chun Yao, Mingfeng Qiu, Wei Jia.   

Abstract

Polyphenols, a ubiquitous group of secondary plant metabolites sharing at least one aromatic ring structure with one or more hydroxyl groups, represent a large group of natural antioxidants abundant in fruits, vegetables, and beverages, such as grape juice, wine, and tea, and are widely considered to contribute to health benefits in humans. However, little is yet known concerning their bioactive forms in vivo and the mechanisms by which they may alter our metabolome, which ultimately contribute toward disease prevention. Here we report a study to determine the metabolic fate of polyphenolic components in a Chinese tea (Pu-erh) in human subjects using a metabonomic profiling approach coupled with multivariate and univariate statistical analysis. Urine samples were collected at 0 h, 1 h, 3 h, 6 h, 9 h, 12 h, and 24 h within the first 24 h and once a day during a 6 week period including a 2 week baseline phase, a 2 week daily Pu-erh tea ingestion phase, and a 2 week "wash-out" phase, and they were analyzed by gas chromatography mass spectrometry and liquid chromatography mass spectrometry. The dynamic concentration profile of bioavailable plant molecules (due to in vivo absorption and the hepatic and gut bacterial metabolism) and the human metabolic response profile were measured and correlated with each other. This study demonstrates that the metabonomic strategy will enable us to integrate the overwhelming amount of metabolic end points as a systems' response to the absorption, metabolism, and disposition of a multicomponent botanical intervention system, leading to a direct elucidation of their mechanisms of action.

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Year:  2012        PMID: 22559253     DOI: 10.1021/pr300318m

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  14 in total

1.  Advances in Nutritional Metabolomics.

Authors:  Elizabeth P Ryan; Adam L Heuberger; Corey D Broeckling; Erica C Borresen; Cadie Tillotson; Jessica E Prenni
Journal:  Curr Metabolomics       Date:  2013

2.  REDUCTION OF PM2.5 TOXICITY ON HUMAN ALVEOLAR EPITHELIAL CELLS A549 BY TEA POLYPHENOLS.

Authors:  Ying Zhang; Diane Darland; Yan He; Lixue Yang; Xinfeng Dong; Yanzhong Chang
Journal:  J Food Biochem       Date:  2018-01-18       Impact factor: 2.720

3.  polyPK: an R package for pharmacokinetic analysis of multi-component drugs using a metabolomics approach.

Authors:  Mengci Li; Shouli Wang; Guoxiang Xie; Xiaohui Ma; Tianlu Chen; Wei Jia
Journal:  Bioinformatics       Date:  2018-05-15       Impact factor: 6.937

4.  Gene features selection for three-class disease classification via multiple orthogonal partial least square discriminant analysis and S-plot using microarray data.

Authors:  Mingxing Yang; Xiumin Li; Zhibin Li; Zhimin Ou; Ming Liu; Suhuan Liu; Xuejun Li; Shuyu Yang
Journal:  PLoS One       Date:  2013-12-30       Impact factor: 3.240

Review 5.  Application of multi-target phytotherapeutic concept in malaria drug discovery: a systems biology approach in biomarker identification.

Authors:  Protus Arrey Tarkang; Regina Appiah-Opong; Michael F Ofori; Lawrence S Ayong; Alexander K Nyarko
Journal:  Biomark Res       Date:  2016-12-13

6.  An integrated strategy by using target tissue metabolomics biomarkers as pharmacodynamic surrogate indices to screen antipyretic components of Qingkaikling injection.

Authors:  Zhixin Zhang; Fang Lu; Haiyu Liu; Huizhen Zhao; Yuehong Liu; Shuang Fu; Meiling Wang; Ziye Xie; Honghong Yu; Zhenghai Huang; Yanling Zhang; Xiaoyan Gao
Journal:  Sci Rep       Date:  2017-07-24       Impact factor: 4.379

7.  Plasma metabolomics profiles in rats with acute traumatic brain injury.

Authors:  Fei Zheng; Zi-An Xia; Yi-Fu Zeng; Jie-Kun Luo; Peng Sun; Han-Jin Cui; Yang Wang; Tao Tang; Yan-Tao Zhou
Journal:  PLoS One       Date:  2017-08-03       Impact factor: 3.240

8.  Urinary Metabolic Profiling via LC-MS/MS Reveals Impact of Bovine Lactoferrin on Bone Formation in Growing SD Rats.

Authors:  Yan Xu; Tianyu Zhao; Haowei Ren; Yindan Xie; Jingjing An; Jiaqi Shang; Dina Tabys; Ning Liu
Journal:  Nutrients       Date:  2020-04-17       Impact factor: 5.717

9.  Towards polypharmacokinetics: pharmacokinetics of multicomponent drugs and herbal medicines using a metabolomics approach.

Authors:  Ke Lan; Guoxiang Xie; Wei Jia
Journal:  Evid Based Complement Alternat Med       Date:  2013-03-14       Impact factor: 2.629

Review 10.  Pharmacokinetics of Chinese medicines: strategies and perspectives.

Authors:  Ru Yan; Ying Yang; Yijia Chen
Journal:  Chin Med       Date:  2018-05-02       Impact factor: 5.455

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