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Identification of a series of hair-cell MET channel blockers that protect against aminoglycoside-induced ototoxicity

Authors :
Daire Cantillon
Simon J. Waddell
Sarah Baxendale
Corné J. Kros
Richard J. Goodyear
Siân R. Kitcher
Simon E. Ward
Marco Derudas
James C. Bull
Tanya T. Whitfield
Guy P. Richardson
Emma J. Kenyon
Charlotte Donald Wilson
Nerissa K. Kirkwood
Richard T. Osgood
Virginia N. Mahieu
Antonio de la Vega de León
Source :
JCI Insight, Vol 6, Iss 7 (2021), JCI Insight
Publication Year :
2021
Publisher :
American Society for Clinical Investigation, 2021.

Abstract

To identify small molecules that shield mammalian sensory hair cells from the ototoxic side effects of aminoglycoside antibiotics we screened 10,240 compounds, selecting those that protected against neomycin and gentamicin in zebrafish lateral-line hair cells and, when retested in mouse cochlear cultures, prevented gentamicin-induced death of outer hair cells (OHCs). Of 64 compounds that protected zebrafish hair cells, 8 protect OHCs from gentamicin in vitro. These hits share structural features and all block, to varying degrees, the OHC’s mechano-electrical transducer (MET) channel, a known route of aminoglycoside entry into hair cells. Further characterisation of one of the strongest MET-channel blockers, UoS-7692, revealed it additionally protects against kanamycin and tobramycin, and does not abrogate the bactericidal activity of gentamicin. UoS-7692 behaves, like the aminoglycosides, as a permeant blocker of the MET channel, significantly reduces gentamicin-Texas Red loading into OHCs, and preserves lateral-line function in neomycin-treated zebrafish. Trans-tympanic injection of UoS-7692 protects mouse OHCs from furosemide-kanamycin exposure in vivo and partially preserves hearing. The results confirm the hair-cell MET channel as a viable target for the identification of compounds that protect the cochlea from aminoglycosides, and provide a series of hit compounds that will inform the design of future otoprotectants.

Details

Language :
English
ISSN :
23793708
Database :
OpenAIRE
Journal :
JCI Insight, Vol 6, Iss 7 (2021), JCI Insight
Accession number :
edsair.doi.dedup.....74b8ea76d83370b8f03a6a556321822d