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Journal article

Collateral Resistance and Sensitivity Modulate Evolution of High-Level Resistance to Drug Combination Treatment in Staphylococcus aureus

From

Department of Systems Biology, Technical University of Denmark1

Drug Resistance and Community Dynamics, Department of Systems Biology, Technical University of Denmark2

Bacterial Cell Factories, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark3

Center for Systems Microbiology, Department of Systems Biology, Technical University of Denmark4

Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark5

As drug-resistant pathogens continue to emerge, combination therapy will increasingly be relied upon to treat infections and to help combat further development of multidrug resistance. At present a dichotomy exists between clinical practice, which favors therapeutically synergistic combinations, and the scientific model emerging from in vitro experimental work, which maintains that this interaction provides greater selective pressure toward resistance development than other interaction types.

We sought to extend the current paradigm, based on work below or near minimum inhibitory concentration levels, to reflect drug concentrations more likely to be encountered during treatment. We performed a series of adaptive evolution experiments using Staphylococcus aureus. Interestingly, no relationship between drug interaction type and resistance evolution was found as resistance increased significantly beyond wild-type levels.

All drug combinations, irrespective of interaction types, effectively limited resistance evolution compared with monotreatment. Cross-resistance and collateral sensitivity were found to be important factors in the extent of resistance evolution toward a combination. Comparative genomic analyses revealed that resistance to drug combinations was mediated largely by mutations in the same genes as single-drug-evolved lineages highlighting the importance of the component drugs in determining the rate of resistance evolution.

Results of this work suggest that the mechanisms of resistance to constituent drugs should be the focus of future resistance evolution work.

Language: English
Publisher: Society for Molecular Biology and Evolution
Year: 2015
Pages: 1175-1185
ISSN: 15371719 and 07374038
Types: Journal article
DOI: 10.1093/molbev/msv006
ORCIDs: de Evgrafov, Mari Cristina Rodriguez , Munck, Christian and Sommer, Morten Otto Alexander

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