henhaobio
Sign in

ACS Infectious DiseasesBiochemistryPeer-reviewed journal article

Comprehensive identification of β-lactam antibiotic polypharmacology in Mycobacterium tuberculosis

Kaylyn L. DevliniD, Emily Hutchinson, Hailey N. Dearing, Samantha R. LevineiD, Deseree J. Reid, Damon T. LeachiD, Lydia H. Griggs, Gerard X. Lomas, Leo J. GorhamiD, Aaron WrightiD, Gyanu LamichhaneiD, Vivian LiniD, Kimberly E. BeattyiD

PDFDOIPreprint

Abstract

Infections with Mycobacterium tuberculosis (Mtb) cause tuberculosis (TB), which requires at least six months of treatment with multiple antibiotics. There is emergent interest in using {beta}-lactam antibiotics to improve treatment outcomes for patients. These drugs target cell wall biosynthesis, but a comprehensive list of enzymes inhibited by {beta}-lactams in Mtb is lacking. In the current study, we sought to identify and characterize Mtb enzymes inhibited by {beta}-lactam antibiotics using physiological conditions representative of both acute and chronic TB disease. We used new activity-based probes based on the {beta}-lactam antibiotic meropenem due to its approval by the World Health Organization for TB treatment. Activity-based probes label enzymes based on both substrate specificity and catalytic mechanism, enabling precise identification of drug targets. We identified previously undiscovered targets of meropenem in addition to known cell wall biosynthetic enzymes. We validated {beta}-lactam binding and hydrolysis for six newly identified targets: Rv1723, Rv2257c, Rv0309, DapE (Rv1202), MurI (Rv1338), and LipD (Rv1923). Our results demonstrate that there are at least 30 enzymes in Mtb vulnerable to inhibition by meropenem. This is many more {beta}-lactam targets than historically described, suggesting that efficacy in Mtb is a direct result of polypharmacology.

Citations
5
FWCI
3.82
Field percentile
top 6%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.