Surface-stress sensors for rapid and ultrasensitive detection of active free drugs in human serum

Ndieyira, Joseph W., Kappeler, Natascha, Logan, Stephen, Cooper, Matthew A., Abell, Chris, McKendry, Rachel A. and Aeppli, Gabriel (2014) Surface-stress sensors for rapid and ultrasensitive detection of active free drugs in human serum. Nature Nanotechnology, 9 3: 225-232. doi:10.1038/NNANO.2014.33

Author Ndieyira, Joseph W.
Kappeler, Natascha
Logan, Stephen
Cooper, Matthew A.
Abell, Chris
McKendry, Rachel A.
Aeppli, Gabriel
Title Surface-stress sensors for rapid and ultrasensitive detection of active free drugs in human serum
Journal name Nature Nanotechnology   Check publisher's open access policy
ISSN 1748-3387
Publication date 2014-03
Year available 2014
Sub-type Article (original research)
DOI 10.1038/NNANO.2014.33
Open Access Status
Volume 9
Issue 3
Start page 225
End page 232
Total pages 8
Place of publication London, United Kingdom
Publisher Nature
Collection year 2015
Language eng
Abstract here is a growing appreciation that mechanical signals can be as important as chemical and electrical signals in biology. To include such signals in a systems biology description for understanding pathobiology and developing therapies, quantitative experiments on how solution-phase and surface chemistry together produce biologically relevant mechanical signals are needed. Because of the appearance of drug-resistant hospital ‘superbugs’, there is currently great interest in the destruction of bacteria by bound drug–target complexes that stress bacterial cell membranes. Here, we use nanomechanical cantilevers as surface-stress sensors, together with equilibrium theory, to describe quantitatively the mechanical response of a surface receptor to different antibiotics in the presence of competing ligands in solution. The antibiotics examined are the standard, Food and Drug Administration-approved drug of last resort, vancomycin, and the yet-to-be approved oritavancin, which shows promise for controlling vancomycin-resistant infections. The work reveals variations among strong and weak competing ligands, such as proteins in human serum, that determine dosages in drug therapies. The findings further enhance our understanding of the biophysical mode of action of the antibiotics and will help develop better treatments, including choice of drugs as well as dosages, against pathogens.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
Institute for Molecular Bioscience - Publications
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Citation counts: TR Web of Science Citation Count  Cited 20 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 22 times in Scopus Article | Citations
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Created: Wed, 02 Apr 2014, 15:47:25 EST by Professor Matthew Cooper on behalf of School of Chemistry & Molecular Biosciences