Novel adjunctive therapy for drug resistant Gram-negative pathogens

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It is becoming increasingly recognized that the therapy of infectious diseases is facing twin threats. On the one hand antibiotic and antiviral resistance is rising rapidly; on the other there are relatively few novel compounds under development or entering the clinic. One promising set of compounds are the cationic host defence (antimicrobial) peptides, that collectively have anti-biofilm, antimicrobial and immunomodulatory activities and are naturally produced by virtually all complex organisms ranging from plants and insects to humans as a major component of their innate defences against infection. Our research has been instrumental in delivering, to clinical trials, both topical antimicrobials and selectively immunomodulatory innate defence regulator (IDR) peptides; however these trials did not explore the full potential of these molecules. Recently we demonstrated that some of these peptides suppress the formation of biofilms by a number of serious Gram negative bacterial infections. Here we are pursuing this strategy as an adjunct to conventional antibiotic therapy. It is particularly relevant since bacteria causing infections often (60%) grow as biofilms that are specialized colonial structures that are highly resistant to conventional antibiotics. The objective here is this to suppress biofilm infection by highly resistant and dangerous pathogens, making these infections more susceptible to conventional antibiotics. Our major broad long term objective is thus to create badly needed new approaches to treating infections to overcome antibiotic resistance in the face of a dearth in new antibiotic discovery. Our Specific Aims, in large part based on preliminary data, are (1) identify peptides with optimized activities that are smaller and resistant to proteases, (2) test synergy with a variety of conventional antibiotics against organisms in the biofilm state, (3) understand the mechanism(s) of anti-biofilm activity and (4) characterize their activity in realistic models of infection.