ArticleAnalytical chemistry2019
Nanoarray Digital Polymerase Chain Reaction with High-Resolution Melt for Enabling Broad Bacteria Identification and Pheno-Molecular Antimicrobial Susceptibility Test.
Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
36 citing papers in PubMed, 87 citations in OpenAlex.
- Digital CRISPR-based diagnostics for quantification of Candida auris and resistance mutations.Nature biomedical engineering · 2026Article
- Antibiotic resistance inFrontiers in microbiology · 2026Review
- Cross-kingdom pathogen detection via duplex universal PCR and high-resolution melt.Biosensors & bioelectronics · 2025Article
- Digital Melting Curve Analysis for Multiplex Quantification of Nucleic Acids on Droplet Digital PCR.Biosensors · 2025Article
- Exploiting β-Lactams-Induced Lysis and DNA Fragmentation for Rapid Molecular Antimicrobial Susceptibility Testing of Neisseria Gonorrhoeae via Dual-Digital PCR.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Rapid and portable quantification of HIV RNA via a smartphone-enabled digital CRISPR device and deep learning.Sensors and actuators reports · 2024Article
- Next-generation rapid phenotypic antimicrobial susceptibility testing.Nature communications · 2024Review
- Assessing Diagnostic Performance of Molecular Culture for Neonatal Sepsis: Protocol of the CHAMPIONS Study.Diagnostics (Basel, Switzerland) · 2024Article
- Machine learning based DNA melt curve profiling enables automated novel genotype detection.BMC bioinformatics · 2024Article
- Microfluidic technologies for advanced antimicrobial susceptibility testing.Biomicrofluidics · 2024Review
- Improving bacteria identification from digital melt assay via oligonucleotide-based temperature calibration.Analytica chimica acta · 2024Article
- Automated and miniaturized screening of antibiotic combinationsActa pharmaceutica Sinica. B · 2024Article
- Rapid Minimum Inhibitory Concentration (MIC) Analysis Using Lyophilized Reagent Beads in a Novel Multiphase, Single-Vessel Assay.Antibiotics (Basel, Switzerland) · 2023Article
- Accurate Prediction of Antimicrobial Susceptibility for Point-of-Care Testing of Urine in Less than 90 Minutes via iPRISM Cassettes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Harnessing Variabilities in Digital Melt Curves for Accurate Identification of Bacteria.Analytical chemistry · 2023Article
- A Novel Dual Bacteria-Imprinted Polymer Sensor for Highly Selective and Rapid Detection of Pathogenic Bacteria.Biosensors · 2023Article
- Multiplex Digital Methylation-Specific PCR for Noninvasive Screening of Lung Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Rapid Phenotypic Antimicrobial Susceptibility Testing Using a Coulter Counter and Proliferation Rate Discrepancy.ACS omega · 2023Article
- Droplet Encoding-Pairing Enabled Multiplexed Digital Loop-Mediated Isothermal Amplification for Simultaneous Quantitative Detection of Multiple Pathogens.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Single-cell pathogen diagnostics for combating antibiotic resistance.Nature reviews. Methods primers · 2023Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Toward combating infectious diseases caused by pathogenic bacteria, there remains an unmet need for diagnostic tools that can broadly identify the causative bacteria and determine their antimicrobial susceptibilities from complex and even polymicrobial samples in a timely manner. To address this need, a microfluidic and machine-learning-based platform that performs broad bacteria identification (ID) and rapid yet reliable antimicrobial susceptibility testing (AST) is developed. Specifically, this platform builds on "pheno-molecular AST", a strategy that transforms nucleic acid amplification tests (NAATs) into phenotypic AST through quantitative detection of bacterial genomic replication, and utilizes digital polymerase chain reaction (PCR) and digital high-resolution melt (HRM) to quantify and identify bacterial DNA molecules. Bacterial species are identified using integrated experiment-machine learning algorithm via HRM profiles. Digital DNA quantification allows for rapid growth measurement that reflects susceptibility profiles of each bacterial species within only 30 min of antibiotic exposure. As a demonstration, multiple bacterial species and their susceptibility profiles in a spiked-in polymicrobial urine specimen were correctly identified with a total turnaround time of ∼4 h. With further development and clinical validation, this platform holds the potential for improving clinical diagnostics and enabling targeted antibiotic treatments.
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What OpenQuestion holds
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.