Abstract

Alzheimer disease and related dementias are major challenges, demanding urgent needs for earliest possible diagnosis to optimize the success rate in finding effective therapeutic interventions. Mounting solid scientific premises point at the core acetylcholine-biosynthesizing cholinergic enzyme, ChAT as a legitimate in vivo target for developing positron emission tomography biomarker for early diagnosis and/or monitoring therapeutic responses in the neurodegenerative dementias. Up-to-date, no PET tracer ligands for ChAT are available. Here we report for the first time a novel hierarchical virtual screening approach on a commercial library of ~300,000 compounds, followed by in vitro screening of the hits by a new High-Throughput ChAT assay. We report detailed pharmacodynamic data for three identified selective novel ChAT ligands with IC50 and Ki values ranging from ~7 to 26 µM. In addition, several novel selective inhibitors of the acetylcholine-degrading enzymes, AChE and BuChE were identified, with one of the compounds showing an IC50-value of ~6 µM for AChE. In conclusion, this report provides an excellent starting platform for designing and optimizing potent and selective ChAT ligands, with high potential as PET-imaging probe for early diagnosis of AD, and related dementias, such as Down’s syndrome and Lewy body disorders.

Details

Title
Discovery of novel choline acetyltransferase inhibitors using structure-based virtual screening
Author
Kumar, Rajnish 1   VIAFID ORCID Logo  ; Kumar, Amit 1   VIAFID ORCID Logo  ; Långström, Bengt 2 ; Taher Darreh-Shori 1   VIAFID ORCID Logo 

 Center for Alzheimer Research, Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, Division of Translational Alzheimer Neurobiology., NOVUM, 4th Floor, Stockholm, Sweden 
 Department of Chemistry, Uppsala University, Uppsala, Sweden 
Pages
1-17
Publication year
2017
Publication date
Nov 2017
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1968049164
Copyright
© 2017. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.