Back

High-throughput LacZ/CPRG screen identifies novel potential antibiotics targeting Gram-negative bacterial envelopes to combat resistance

Ghobakhlou, F.; Mokhtari, L.; Pfeifer, T. A.; Paradis-Bleau, C.

2025-04-10 microbiology
10.1101/2025.04.09.648071 bioRxiv
Show abstract

BackgroundBacterial resistance, exacerbated by multidrug-resistant Gram-negative (GN) pathogens, poses a public health threat due to their impermeable envelopes, which block many antibiotics. ObjectivesWe aimed to develop a high-throughput screening (HTS) method to identify small molecules targeting GN bacterial envelopes and assess their antibacterial potential. MethodsEnvelope disruption in Escherichia coli and Pseudomonas aeruginosa was assessed using a {beta}-galactosidase (LacZ)/CPRG reporter assay in LB at 37{degrees}C. The assay was validated through screening the LOPAC1280 and KD24761 compound libraries. Concentration-response relationships, permeabilisation constants (K50), co-permeabilisation assays, minimal inhibitory concentration (MIC) measurements, and bacterial microscopy post-MICs were performed. ResultsThe assay demonstrated robust performance, evidenced by high Z-factor and signal-to-noise (S/N ratios. Screening identified 57 active compounds (1.2% of the library), including {beta}-lactams and three non-antibiotic molecules--suloctidil, isorotenone, and alexidine--that exhibited concentration-dependent antibacterial activity. Alexidine showed the most potent activity, with the lowest K50 (2.7x10-3 mM) and MICs of 0.004 mM for E. coli and 0.015 mM for P. aeruginosa. Suloctidil and isorotenone induced spherical cell morphology, while alexidine induced a filamentous phenotype, indicative of envelope disruption. The assay also identified antibiotics for monotherapy and combination therapy, with ampicillin, alexidine, and suloctidil enhancing chloramphenicols efficacy against E. coli MG1655. ConclusionsThe LacZ/CPRG reporter assay effectively identified compounds targeting bacterial envelopes, including novel molecules with antibacterial activity against GN pathogens, making it a promising tool for antibiotic discovery or combination therapy.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.