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Combating Multidrug-Resistant Bacteria by Integrating a Novel Target Site Penetration and Receptor Binding Assay Platform Into Translational Modeling.
- Source :
-
Clinical pharmacology and therapeutics [Clin Pharmacol Ther] 2021 Apr; Vol. 109 (4), pp. 1000-1020. Date of Electronic Publication: 2021 Mar 24. - Publication Year :
- 2021
-
Abstract
- Multidrug-resistant bacteria are causing a serious global health crisis. A dramatic decline in antibiotic discovery and development investment by pharmaceutical industry over the last decades has slowed the adoption of new technologies. It is imperative that we create new mechanistic insights based on latest technologies, and use translational strategies to optimize patient therapy. Although drug development has relied on minimal inhibitory concentration testing and established in vitro and mouse infection models, the limited understanding of outer membrane permeability in Gram-negative bacteria presents major challenges. Our team has developed a platform using the latest technologies to characterize target site penetration and receptor binding in intact bacteria that inform translational modeling and guide new discovery. Enhanced assays can quantify the outer membrane permeability of β-lactam antibiotics and β-lactamase inhibitors using multiplex liquid chromatography tandem mass spectrometry. While β-lactam antibiotics are known to bind to multiple different penicillin-binding proteins (PBPs), their binding profiles are almost always studied in lysed bacteria. Novel assays for PBP binding in the periplasm of intact bacteria were developed and proteins identified via proteomics. To characterize bacterial morphology changes in response to PBP binding, high-throughput flow cytometry and time-lapse confocal microscopy with fluorescent probes provide unprecedented mechanistic insights. Moreover, novel assays to quantify cytosolic receptor binding and intracellular drug concentrations inform target site occupancy. These mechanistic data are integrated by quantitative and systems pharmacology modeling to maximize bacterial killing and minimize resistance in in vitro and mouse infection models. This translational approach holds promise to identify antibiotic combination dosing strategies for patients with serious infections.<br /> (© 2021 The Authors. Clinical Pharmacology & Therapeutics © 2021 American Society for Clinical Pharmacology and Therapeutics. This article has been contributed to by US Government employees and their work is in the public domain in the USA.)
- Subjects :
- Animals
Cell Membrane physiology
Disease Models, Animal
Humans
Models, Theoretical
Penicillin-Binding Proteins physiology
beta-Lactams pharmacology
Bacteriological Techniques methods
Drug Discovery methods
Drug Resistance, Multiple, Bacterial physiology
Gram-Negative Bacteria drug effects
Gram-Negative Bacteria physiology
Subjects
Details
- Language :
- English
- ISSN :
- 1532-6535
- Volume :
- 109
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Clinical pharmacology and therapeutics
- Publication Type :
- Academic Journal
- Accession number :
- 33576025
- Full Text :
- https://doi.org/10.1002/cpt.2205