ArticleLab on a chip2012
A microfluidic platform for rapid, stress-induced antibiotic susceptibility testing of Staphylococcus aureus.
Article in Lab on a chip, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 27 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.
- Applications of Lab on a Chip in Antimicrobial Susceptibility ofMedicina (Kaunas, Lithuania) · 2023Pooled it
- Microfluidic point-of-care testing for antimicrobial resistance: advances, strategies, and One Health perspectives.Science in One Health · 2026Review
- Next-generation rapid phenotypic antimicrobial susceptibility testing.Nature communications · 2024Review
- Microfluidic technologies for advanced antimicrobial susceptibility testing.Biomicrofluidics · 2024Review
- Single-cell pathogen diagnostics for combating antibiotic resistance.Nature reviews. Methods primers · 2023Article
- A Continuous Microfluidic Concentrator for High-Sensitivity Detection of Bacteria in Water Sources.Micromachines · 2022Article
- Cutting-Edge Technologies for Inflamed Joints on Chip: How Close Are We?Frontiers in immunology · 2022Review
- Capillary-Driven Flow Microfluidics Combined with Smartphone Detection: An Emerging Tool for Point-of-Care Diagnostics.Diagnostics (Basel, Switzerland) · 2020Review
- Microfluidic System for Observation of Bacterial Culture and Effects on Biofilm Formation at Microscale.Micromachines · 2019Article
- Current and Emerging Methods of Antibiotic Susceptibility Testing.Diagnostics (Basel, Switzerland) · 2019Review
- Optimization of Stress-Based Microfluidic Testing for Methicillin Resistance inDiagnostics (Basel, Switzerland) · 2018Article
- A Prospective Evaluation of Two Rapid Phenotypical Antimicrobial Susceptibility Technologies for the Diagnostic Stewardship of Sepsis.BioMed research international · 2018Article
- Emerging Microtechnologies and Automated Systems for Rapid Bacterial Identification and Antibiotic Susceptibility Testing.SLAS technology · 2017Article
- Rapid phenotypic stress-based microfluidic antibiotic susceptibility testing of Gram-negative clinical isolates.Scientific reports · 2017Article
- Rapid antibiotic sensitivity testing in microwell arrays.Technology · 2017Article
- Direct, rapid antimicrobial susceptibility test from positive blood cultures based on microscopic imaging analysis.Scientific reports · 2017Article
- Microfluidic advances in phenotypic antibiotic susceptibility testing.Biomedical microdevices · 2016Article
- Microfluidics for Antibiotic Susceptibility and Toxicity Testing.Bioengineering (Basel, Switzerland) · 2016Review
- Bacterial Cytological Profiling (BCP) as a Rapid and Accurate Antimicrobial Susceptibility Testing Method for Staphylococcus aureus.EBioMedicine · 2016Article
- A Microfluidic Channel Method for Rapid Drug-Susceptibility Testing of Pseudomonas aeruginosa.PloS one · 2016Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
The emergence and spread of bacterial resistance to ever increasing classes of antibiotics intensifies the need for fast phenotype-based clinical tests for determining antibiotic susceptibility. Standard susceptibility testing relies on the passive observation of bacterial growth inhibition in the presence of antibiotics. In this paper, we present a novel microfluidic platform for antibiotic susceptibility testing based on stress-activation of biosynthetic pathways that are the primary targets of antibiotics. We chose Staphylococcus aureus (S. aureus) as a model system due to its clinical importance, and we selected bacterial cell wall biosynthesis as the primary target of both stress and antibiotic. Enzymatic and mechanical stresses were used to damage the bacterial cell wall, and a β-lactam antibiotic interfered with the repair process, resulting in rapid cell death of strains that harbor no resistance mechanism. In contrast, resistant bacteria remained viable under the assay conditions. Bacteria, covalently-bound to the bottom of the microfluidic channel, were subjected to mechanical shear stress created by flowing culture media through the microfluidic channel and to enzymatic stress with sub-inhibitory concentrations of the bactericidal agent lysostaphin. Bacterial cell death was monitored via fluorescence using the Sytox Green dead cell stain, and rates of killing were measured for the bacterial samples in the presence and absence of oxacillin. Using model susceptible (Sanger 476) and resistant (MW2) S. aureus strains, a metric was established to separate susceptible and resistant staphylococci based on normalized fluorescence values after 60 min of exposure to stress and antibiotic. Because this ground-breaking approach is not based on standard methodology, it circumvents the need for minimum inhibitory concentration (MIC) measurements and long wait times. We demonstrate the successful development of a rapid microfluidic-based and stress-activated antibiotic susceptibility test by correctly designating the phenotypes of 16 additional clinically relevant S. aureus strains in a blinded study. In addition to future clinical utility, this method has great potential for studying the effects of various stresses on bacteria and their antibiotic susceptibility.
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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.