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The Toll-Like Receptor Agonist Imiquimod Is Active against Prions

Overview of attention for article published in PLOS ONE, August 2013
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Title
The Toll-Like Receptor Agonist Imiquimod Is Active against Prions
Published in
PLOS ONE, August 2013
DOI 10.1371/journal.pone.0072112
Pubmed ID
Authors

Nassima Oumata, Phu hai Nguyen, Vincent Beringue, Flavie Soubigou, Yanhong Pang, Nathalie Desban, Catherine Massacrier, Yannis Morel, Carine Paturel, Marie-Astrid Contesse, Serge Bouaziz, Suparna Sanyal, Hervé Galons, Marc Blondel, Cécile Voisset

Abstract

Using a yeast-based assay, a previously unsuspected antiprion activity was found for imiquimod (IQ), a potent Toll-like receptor 7 (TLR7) agonist already used for clinical applications. The antiprion activity of IQ was first detected against yeast prions [PSI (+) ] and [URE3], and then against mammalian prion both ex vivo in a cell-based assay and in vivo in a transgenic mouse model for prion diseases. In order to facilitate structure-activity relationship studies, we conducted a new synthetic pathway which provides a more efficient means of producing new IQ chemical derivatives, the activity of which was tested against both yeast and mammalian prions. The comparable antiprion activity of IQ and its chemical derivatives in the above life forms further emphasizes the conservation of prion controlling mechanisms throughout evolution. Interestingly, this study also demonstrated that the antiprion activity of IQ and IQ-derived compounds is independent from their ability to stimulate TLRs. Furthermore, we found that IQ and its active chemical derivatives inhibit the protein folding activity of the ribosome (PFAR) in vitro.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 30%
Student > Ph. D. Student 7 19%
Professor 4 11%
Student > Doctoral Student 3 8%
Other 3 8%
Other 5 14%
Unknown 4 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 35%
Agricultural and Biological Sciences 10 27%
Chemistry 6 16%
Immunology and Microbiology 2 5%
Unknown 6 16%