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All-In-One Escherichia coli Viability Assay for Multi-dimensional Detection of Uncomplicated Urinary Tract Infections
Wenshuai Wu1, Qianbin Zhao2, Gaozhe Cai3
1Research Center for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China.
A new digital assay rapidly detects E. coli in urine using GUS enzyme activity. This antibiotic susceptibility test (AST) provides results in 4.5 hours, aiding targeted therapy and combating antimicrobial resistance.
Area of Science:
- Biotechnology
- Microbiology
- Diagnostic Assays
Background:
- Antibiotic-resistant bacteria in urinary tract infections pose a significant public health challenge.
- Current culture-based diagnostics and antimicrobial susceptibility testing (AST) are slow and labor-intensive, contributing to antimicrobial resistance.
- Rapid and accurate diagnostics are crucial for effective treatment and infection control.
Purpose of the Study:
- To develop an all-in-one, rapid assay for detecting and determining antibiotic susceptibility of *Escherichia coli* in urine.
- To establish a digital β-d-glucuronidase (GUS)-AST assay utilizing a 3D microwell array chip.
- To enable timely and targeted antimicrobial therapies, thereby improving patient outcomes and reducing resistance.
Main Methods:
- An innovative digital β-d-glucuronidase (GUS)-AST assay was developed using a 3D microwell array chip.
- The assay leverages the GUS enzyme to convert bacterial presence into fluorescence, enabling bacterial quantification via digital counting of positive microwells.
- A streamlined workflow integrated urine processing, bacterial separation, and digital GUS-AST for direct urine analysis.
Main Results:
- The digital GUS-AST assay achieved a limit of detection of 39 CFU/mL within a 4.5-hour sample-to-result workflow.
- The assay demonstrated the ability to quantify *E. coli* concentrations across a 7-log dynamic range.
- The method successfully indicated antibiotic potency and determined minimum inhibitory concentrations.
Conclusions:
- The digital GUS-AST assay offers a rapid, sensitive, and efficient method for diagnosing *E. coli* UTIs and guiding antimicrobial treatment.
- This technology has the potential to significantly reduce the reliance on empirical therapies and mitigate the spread of antimicrobial resistance.
- Further development for broader pathogen detection and multiple antibiotic testing could enhance its clinical utility.
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