Quantifying Membrane Alterations with Tailored Fluorescent Dyes: A Rapid Antibiotic Resistance Profiling Methodology.
Ashim Kumar DubeyDeepika SardanaTaru VermaParvez AlamAvik ChattopadhyaySanthi Sanil NandiniBalaram KhamariEswarappa Pradeep BulagondaSobhan SenDipankar NandiPublished in: ACS infectious diseases (2024)
Accurate detection of bacterial antibiotic sensitivity is crucial for theranostics and the containment of antibiotic-resistant infections. However, the intricate task of detecting and quantifying the antibiotic-induced changes in the bacterial cytoplasmic membrane, and their correlation with other metabolic pathways leading to antibiotic resistance, poses significant challenges. Using a novel class of 4-aminophthalimide (4AP)-based fluorescent dyes with precisely tailored alkyl chains, namely 4AP-C9 and 4AP-C13, we quantify stress-mediated alterations in E. coli membranes. Leveraging the unique depth-dependent positioning and environment-sensitive fluorescence properties of these dyes, we detect antibiotic-induced membrane damage through single-cell imaging and monitoring the fluorescence peak maxima difference ratio (PMDR) of the dyes within the bacterial membrane, complemented by other methods. The correlation between the ROS-induced cytoplasmic membrane damage and the PMDR of dyes quantifies sensitivity against bactericidal antibiotics, which correlates to antibiotic-induced lipid peroxidation. Significantly, our findings largely extend to clinical isolates of E. coli and other ESKAPE pathogens like K. pneumoniae and Enterobacter subspecies. Our data reveal that 4AP-Cn probes can potentially act as precise scales to detect antibiotic-induced membrane damage ("thinning") occurring at a subnanometer scale through the quantification of dyes' PMDR, making them promising membrane dyes for rapid detection of bacterial antibiotic resistance, distinguishing sensitive and resistant infections with high specificity in a clinical setup.
Keyphrases
- single cell
- high glucose
- diabetic rats
- transcription factor
- oxidative stress
- aqueous solution
- escherichia coli
- single molecule
- high resolution
- drug induced
- squamous cell carcinoma
- gene expression
- rna seq
- dna methylation
- ionic liquid
- machine learning
- mass spectrometry
- electronic health record
- big data
- stress induced
- artificial intelligence
- loop mediated isothermal amplification