Computational and biological profile of boronic acids for the detection of bacterial serine- and metallo-β-lactamases

34Citations
Citations of this article
64Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

β-Lactamases (BLs) able to hydrolyze β-lactam antibiotics and more importantly the last resort carbapenems, represent a major mechanism of resistance in Gram-negative bacteria showing multi-drug or extensively drug resistant phenotypes. The early detection of BLs responsible of resistant infections is challenging: approaches aiming at the identification of new BLs inhibitors (BLI) can thus serve as the basis for the development of highly needed diagnostic tools. Starting from benzo-[b]-thiophene-2-boronic acid (BZB), a nanomolar inhibitor of AmpC β-lactamase (K i = 27 nM), we have identified and characterized a set of BZB analogues able to inhibit clinically-relevant β-lactamases, including AmpC, Extended-Spectrum BLs (ESBL), KPC- and OXA-type carbapenemases and metallo-β-lactamases (MBL). A multiligand set of boronic acid (BA) β-lactamase inhibitors was obtained using covalent molecular modeling, synthetic chemistry, enzyme kinetics and antibacterial susceptibility testing. Data confirmed the possibility to discriminate between clinically-relevant β-lactamases on the basis of their inhibition profile. Interestingly, this work also allowed the identification of potent KPC-2 and NDM-1 inhibitors able to potentiate the activity of cefotaxime (CTX) and ceftazidime (CAZ) against resistant clinical isolates (MIC reduction, 32-fold). Our results open the way to the potential use of our set of compounds as a diagnostic tool for the sensitive detection of clinically-relevant β-lactamases.

Cite

CITATION STYLE

APA

Santucci, M., Spyrakis, F., Cross, S., Quotadamo, A., Farina, D., Tondi, D., … Costi, M. P. (2017). Computational and biological profile of boronic acids for the detection of bacterial serine- and metallo-β-lactamases. Scientific Reports, 7(1). https://doi.org/10.1038/s41598-017-17399-7

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free