Shapeshifting Antibiotics: Bullvalene Linked Vancomycin Dimers are Effective Against Multidrug-Resistant Gram-Positive Bacteria

21 April 2022, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

The alarming rise in superbugs that are resistant to drugs of last resort, including vancomycin-resistant enterococci and staphylococci, has become a significant global health hazard. Here we report the click chemistry synthesis of an unprecedented class of shapeshifting vancomycin dimers (SVDs) that display potent activity against bacteria that are resistant to the parent drug, including the ESKAPE pathogens, vancomycin-resistant Enterococcus (VRE), methicillin-resistant Staphylococcus aureus (MRSA) as well as vancomycin-resistant S. aureus (VRSA). The shapeshifting modality of the dimers is powered by a click-linked bullvalene core, hence exploiting the dynamic covalent rearrangements of the fluxional carbon cage and creating ligands with the capacity to inhibit bacterial cell wall biosynthesis. The new shapeshifting antibiotics are not disadvantaged by the common mechanism of vancomycin resistance resulting from the alteration of the C-terminal dipeptide with the corresponding D-Ala-D-Lac depsipeptide. Further, evidence suggests that the shapeshifting ligands destabilize the complex formed between the flippase MurJ and lipid II, inferring the potential for a new mode of action for polyvalent glycopeptides. The SVDs show little propensity for acquired resistance by enterococci, suggesting that this new class of shapeshifting antibiotic will display durable antimicrobial activity not prone to rapidly acquired clinical resistance.

Keywords

click chemistry
shapeshifting antibiotics
resistant bacterial infections
vancomycin
flippase

Supplementary materials

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Title
Supporting Information for Shapeshifting Antibiotics: Bullvalene Linked Vancomycin Dimers are Effective Against Multidrug- Resistant Gram-Positive Bacteria
Description
File containing all experimental information and relevant characterization data.
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