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Identification of Epigallocatechin-3- Gallate as an Inhibitor of Phosphoglycerate Mutase 1

Overview of attention for article published in Frontiers in Pharmacology, May 2017
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Title
Identification of Epigallocatechin-3- Gallate as an Inhibitor of Phosphoglycerate Mutase 1
Published in
Frontiers in Pharmacology, May 2017
DOI 10.3389/fphar.2017.00325
Pubmed ID
Authors

Xiaoguang Li, Shuai Tang, Qian-Qian Wang, Elaine L.-H. Leung, Hongyue Jin, Yongzhuo Huang, Jia Liu, Meiyu Geng, Min Huang, Shengtao Yuan, Xiao-Jun Yao, Jian Ding

Abstract

Targeting metabolic enzymes is believed to provide new therapeutic opportunities for cancer therapy. Phosphoglycerate mutase 1 (PGAM1) is a glycolytic enzyme that importantly coordinates glycolysis, pentose phosphate pathway (PPP) flux and serine biosynthesis in cancer cells and hence gains increasing interest of inhibitor discovery. Only few PGAM1 inhibitors have been reported and the molecular potency remains very limited. In an effort to discover new PGAM1 inhibitors, we carried out a biochemical assay-based screen that was focused on natural products derived small molecule compounds. (-)-Epigallocatechin-3-gallate (EGCG), the major natural catechins of green tea extract, was identified as a PGAM1 inhibitor that was tremendously more potent than known PGAM1 inhibitors. Further studies combining molecular docking and site-specific mutagenesis revealed that EGCG inhibited PGAM1 enzymatic activity in a manner independent of substrate competition. EGCG modulated the intracellular level of 2-phosphoglycerate, impaired glycolysis and PPP and inhibited proliferation of cancer cells. This study suggested EGCG as a chemical scaffold for the discovery of potent PGAM1 inhibitors and gained mechanistic insights to understand the previously appreciated anticancer properties of EGCG.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 17%
Student > Bachelor 3 13%
Student > Ph. D. Student 2 8%
Student > Master 2 8%
Professor 2 8%
Other 3 13%
Unknown 8 33%
Readers by discipline Count As %
Chemistry 5 21%
Pharmacology, Toxicology and Pharmaceutical Science 4 17%
Medicine and Dentistry 2 8%
Immunology and Microbiology 1 4%
Neuroscience 1 4%
Other 1 4%
Unknown 10 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 June 2017.
All research outputs
#20,425,762
of 22,977,819 outputs
Outputs from Frontiers in Pharmacology
#10,164
of 16,261 outputs
Outputs of similar age
#275,210
of 316,100 outputs
Outputs of similar age from Frontiers in Pharmacology
#156
of 245 outputs
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We're also able to compare this research output to 245 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.