Structure-based discovery of mPGES-1 inhibitors suitable for preclinical testing in wild-type mice as a new generation of anti-inflammatory drugs

Kai Ding, Ziyuan Zhou, Shurong Hou, Yaxia Yuan, Shuo Zhou, Xirong Zheng, Jianzhong Chen, Charles Loftin, Fang Zheng, Chang Guo Zhan

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

Human mPGES-1 is recognized as a promising target for next generation of anti-inflammatory drugs without the side effects of currently available anti-inflammatory drugs, and various inhibitors have been reported in the literature. However, none of the reported potent inhibitors of human mPGES-1 has shown to be also a potent inhibitor of mouse or rat mPGES-1, which prevents using the well-established mouse/rat models of inflammation-related diseases for preclinical studies. Hence, despite of extensive efforts to design and discover various human mPGES-1 inhibitors, the promise of mPGES-1 as a target for the next generation of anti-inflammatory drugs has never been demonstrated in any wild-type mouse/rat model using an mPGES-1 inhibitor. Here we report discovery of a novel type of selective mPGES-1 inhibitors potent for both human and mouse mPGES-1 enzymes through structure-based rational design. Based on in vivo studies using wild-type mice, the lead compound is indeed non-toxic, orally bioavailable, and more potent in decreasing the PGE2 (an inflammatory marker) levels compared to the currently available drug celecoxib. This is the first demonstration in wild-type mice that mPGES-1 is truly a promising target for the next generation of anti-inflammatory drugs.

Original languageEnglish
Article number5205
JournalScientific Reports
Volume8
Issue number1
DOIs
StatePublished - Dec 1 2018

Bibliographical note

Funding Information:
This work was supported in part by the funding of the Molecular Modeling and Biopharmaceutical Center at the University of Kentucky College of Pharmacy, the National Science Foundation (NSF grant CHE-1111761), and the National Institutes of Health via the National Center for Advancing Translational Sciences (UL1TR001998) grant. The authors also acknowledge the Computer Center at the University of Kentucky for supercomputing time on a Dell Supercomputer Cluster consisting of 388 nodes or 4,816 processors.

Publisher Copyright:
© 2018 The Author(s).

ASJC Scopus subject areas

  • General

Fingerprint

Dive into the research topics of 'Structure-based discovery of mPGES-1 inhibitors suitable for preclinical testing in wild-type mice as a new generation of anti-inflammatory drugs'. Together they form a unique fingerprint.

Cite this