ArticleEBioMedicine2016
Bacterial Cytological Profiling (BCP) as a Rapid and Accurate Antimicrobial Susceptibility Testing Method for Staphylococcus aureus.
Article in EBioMedicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
41 citing papers in PubMed.
- Single-cell morphological responses as predictors of ciprofloxacin resistance inMicrobiology spectrum · 2026Article
- Rapid profiling of polymyxin B susceptibility in Gram-negative bacteria with a novel polymyxin-derived fluorescent probe.Journal of advanced research · 2026Article
- An Achilles' heel for methicillin-resistantAntimicrobial agents and chemotherapy · 2026Review
- Synthesis of Ag/TiOScientific reports · 2026Article
- Temperature-dependent coliphage induces distinct temporal bacterial morphological dynamics during infection.Microbiology spectrum · 2026Article
- Ribosome phenotypes for rapid classification of antibiotic-susceptible and resistant strains of Escherichia coli.Communications biology · 2025Article
- Deep learning-driven bacterial cytological profiling to determine antimicrobial mechanisms inProceedings of the National Academy of Sciences of the United States of America · 2025Article
- Advancing antibiotic discovery with bacterial cytological profiling: a high-throughput solution to antimicrobial resistance.Frontiers in microbiology · 2025Review
- Combining machine learning with high-content imaging to infer ciprofloxacin susceptibility in isolates of Salmonella Typhimurium.Nature communications · 2024Article
- Measuring beta-lactam minimum inhibitory concentrations inJournal of clinical microbiology · 2024Review
- Rational design, synthesis, molecular modeling, biological activity, and mechanism of action of polypharmacological norfloxacin hydroxamic acid derivatives.RSC medicinal chemistry · 2023Article
- Chemical genetic approaches for the discovery of bacterial cell wall inhibitors.RSC medicinal chemistry · 2023Review
- Deep learning and single-cell phenotyping for rapid antimicrobial susceptibility detection in Escherichia coli.Communications biology · 2023Article
- Sensing of Antibiotic-Bacteria Interactions.Antibiotics (Basel, Switzerland) · 2023Review
- Article
- Effects of antibiotics on bacterial cell morphology and their physiological origins.Biochemical Society transactions · 2022Review
- Antimicrobial and Cytotoxic Effects of Cannabinoids: An Updated Review with Future Perspectives and Current Challenges.Pharmaceuticals (Basel, Switzerland) · 2022Review
- Isolation and characterization of Streptomyces bacteriophages and Streptomyces strains encoding biosynthetic arsenals.PloS one · 2022Article
- Mansonone G and its derivatives exhibit membrane permeabilizing activities against bacteria.PloS one · 2022Article
- A preliminary investigation into bacterial viability using scanning electron microscopy-energy-dispersive X-ray analysis: The case of antibiotics.Frontiers in microbiology · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Successful treatment of bacterial infections requires the timely administration of appropriate antimicrobial therapy. The failure to initiate the correct therapy in a timely fashion results in poor clinical outcomes, longer hospital stays, and higher medical costs. Current approaches to antibiotic susceptibility testing of cultured pathogens have key limitations ranging from long run times to dependence on prior knowledge of genetic mechanisms of resistance. We have developed a rapid antimicrobial susceptibility assay for Staphylococcus aureus based on bacterial cytological profiling (BCP), which uses quantitative fluorescence microscopy to measure antibiotic induced changes in cellular architecture. BCP discriminated between methicillin-susceptible (MSSA) and -resistant (MRSA) clinical isolates of S. aureus (n = 71) within 1-2 h with 100% accuracy. Similarly, BCP correctly distinguished daptomycin susceptible (DS) from daptomycin non-susceptible (DNS) S. aureus strains (n = 20) within 30 min. Among MRSA isolates, BCP further identified two classes of strains that differ in their susceptibility to specific combinations of beta-lactam antibiotics. BCP provides a rapid and flexible alternative to gene-based susceptibility testing methods for S. aureus, and should be readily adaptable to different antibiotics and bacterial species as new mechanisms of resistance or multidrug-resistant pathogens evolve and appear in mainstream clinical practice.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.