Disarming the virulence arsenal of: Pseudomonas aeruginosa by blocking two-component system signaling

Manibarsha Goswami, Adeline Espinasse, Erin E. Carlson

Research output: Contribution to journalArticlepeer-review

23 Scopus citations


Pseudomonas aeruginosa infections have reached a "critical" threat status making novel therapeutic approaches required. Inhibiting key signaling enzymes known as the histidine kinases (HKs), which are heavily involved with its pathogenicity, has been postulated to be an effective new strategy for treatment. Herein, we demonstrate the potential of this approach with benzothiazole-based HK inhibitors that perturb multiple virulence pathways in the burn wound P. aeruginosa isolate, PA14. Specifically, our compounds significantly reduce the level of toxic metabolites generated by this organism that are involved in quorum-sensing and redox-balancing mechanisms. They also decrease the ability of this organism to swarm and attach to surfaces, likely by influencing their motility appendages. Quantitative transcription analysis of inhibitor-treated cultures showed substantial perturbations to multiple pathways including expression of response regulator GacA, the cognate partner of the "super regulator" of virulence, HK GacS, as well as flagella and pili formation. These promising results establish that blocking of bacterial signaling in P. aeruginosa has dramatic consequences on virulence behaviours, especially in the context of surface-associated infections.

Original languageEnglish (US)
Pages (from-to)7332-7337
Number of pages6
JournalChemical Science
Issue number37
StatePublished - 2018

Bibliographical note

Funding Information:
We thank H. Blackwell for providing the PA14 strain and W. Pomerantz for the use of a plate reader. This work was supported by an Alfred P. Sloan Fellowship (E. E. C.), the University of Minnesota NIH Biotechnology Training Grant (T32GM008347; A. E.), and the University of Minnesota. We thank the University of Minnesota's Supercomputing Institute for the use of various modeling and data analysis soware.

Publisher Copyright:
© The Royal Society of Chemistry 2018.


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