Antimicrobial Ionic Liquids: Ante-Mortem Mechanisms of Pathogenic EPEC and MRSA Examined by FTIR Spectroscopy.
Patrick-Julian MesterChristian RobbenAnna K WitteKristina LinkeMonika Ehling-SchulzPeter RossmanithTom GrunertPublished in: International journal of molecular sciences (2024)
Ionic liquids (ILs) have gained considerable attention due to their versatile and designable properties. ILs show great potential as antibacterial agents, but understanding the mechanism of attack on bacterial cells is essential to ensure the optimal design of IL-based biocides. The final aim is to achieve maximum efficacy while minimising toxicity and preventing resistance development in target organisms. In this study, we examined a dose-response analysis of ILs' antimicrobial activity against two pathogenic bacteria with different Gram types in terms of molecular responses on a cellular level using Fourier-transform infrared (FTIR) spectroscopy. In total, 18 ILs with different antimicrobial active motifs were evaluated on the Gram-negative enteropathogenic Escherichia coli (EPEC) and Gram-positive methicillin-resistant Staphylococcus aureus (MRSA). The results showed that most ILs impact bacterial proteins with increasing concentration but have a minimal effect on cellular membranes. Dose-response spectral analysis revealed a distinct ante-mortem response against certain ILs for MRSA but not for EPEC. We found that at sub-lethal concentrations, MRSA actively changed their membrane composition to counteract the damaging effect induced by the ILs. This suggests a new adaptive mechanism of Gram-positive bacteria against ILs and demonstrates the need for a better understanding before using such substances as novel antimicrobials.
Keyphrases
- methicillin resistant staphylococcus aureus
- gram negative
- ionic liquid
- staphylococcus aureus
- multidrug resistant
- escherichia coli
- room temperature
- single molecule
- high resolution
- biofilm formation
- magnetic resonance
- klebsiella pneumoniae
- single cell
- risk assessment
- cystic fibrosis
- computed tomography
- signaling pathway
- human health
- candida albicans
- data analysis