β-lactamase expression induces collateral sensitivity in Escherichia coli.
Cristina HerenciasLaura Álvaro-LlorentePaula Ramiro-MartínezAriadna Fernández-CalvetAda Muñoz-CazallaJavier DelaFuenteFabrice E GrafLaura Jaraba-SotoJuan Antonio Castillo-PoloRafael CantónAlvaro San MillanJerónimo Rodríguez-BeltránPublished in: Nature communications (2024)
Major antibiotic groups are losing effectiveness due to the uncontrollable spread of antimicrobial resistance (AMR) genes. Among these, β-lactam resistance genes -encoding β-lactamases- stand as the most common resistance mechanism in Enterobacterales due to their frequent association with mobile genetic elements. In this context, novel approaches that counter mobile AMR are urgently needed. Collateral sensitivity (CS) occurs when the acquisition of resistance to one antibiotic increases susceptibility to another antibiotic and can be exploited to eliminate AMR selectively. However, most CS networks described so far emerge as a consequence of chromosomal mutations and cannot be leveraged to tackle mobile AMR. Here, we dissect the CS response elicited by the acquisition of a prevalent antibiotic resistance plasmid to reveal that the expression of the β-lactamase gene bla OXA-48 induces CS to colistin and azithromycin. We next show that other clinically relevant mobile β-lactamases produce similar CS responses in multiple, phylogenetically unrelated E. coli strains. Finally, by combining experiments with surveillance data comprising thousands of antibiotic susceptibility tests, we show that β-lactamase-induced CS is pervasive within Enterobacterales. These results highlight that the physiological side-effects of β-lactamases can be leveraged therapeutically, paving the way for the rational design of specific therapies to block mobile AMR or at least counteract their effects.
Keyphrases
- escherichia coli
- klebsiella pneumoniae
- antimicrobial resistance
- genome wide
- poor prognosis
- multidrug resistant
- gram negative
- copy number
- randomized controlled trial
- biofilm formation
- systematic review
- public health
- genome wide identification
- acinetobacter baumannii
- gene expression
- crispr cas
- cystic fibrosis
- diabetic rats
- oxidative stress
- machine learning