ArticleBMC medicine2025
Ultrahigh-throughput screening of heterogeneous vancomycin-intermediate Staphylococcus aureus based on fluorescence-activated droplet sorting.
Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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Who cites it
1 citing paper in PubMed.
- Research advances in the application of microfluidic chip technology for rapid detection of antibiotic-resistant bacteria.Frontiers in cellular and infection microbiology · 2026Review
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
backgroundHeterogeneous vancomycin-intermediate Staphylococcus aureus (hVISA) is associated with suboptimal glycopeptide treatment outcomes. However, conventional antimicrobial susceptibility testing fails to distinguish hVISA from vancomycin-susceptible Staphylococcus aureus (VSSA), potentially delaying effective therapy. The gold standard population analysis profiling with area under the curve (PAP-AUC) method is labor-intensive and time-consuming, necessitating rapid detection alternatives.
methodsThis study introduces a microfluidic platform based on fluorescence-activated droplet sorting (FADS) for the rapid detection and isolation of hVISA. Through systematic optimization of key parameters such as droplet generation conditions, bacterial suspension concentration, fluorescence probe selection, fluorescence duration, and vancomycin screening concentration, we established a rapid hVISA screening system. The efficacy of this system was evaluated using the hVISA standard strain Mu3, followed by validation with 15 clinical hVISA isolates. Genomic analysis further elucidated the genetic basis of drug resistance in hVISA strains.
resultsWe developed a high-throughput detection platform for hVISA by integrating a microfluidic system with FADS. Based on a Poisson distribution theoretical model, the bacterial suspension concentration was optimized to 10
conclusionsThis study innovatively integrated a microfluidic detection platform and FADS to achieve rapid detection of hVISA. This technology reduced the detection time to just 12 h and significantly improved the enrichment efficiency of drug-resistant bacterial populations.
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Registered trials
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