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Sensitive and rapid detection of pathogenic bacteria from urine samples using multiplex recombinase polymerase
Junge Chen1, Youchun Xu, He Yan
1State Key Laboratory of Membrane Biology, School of Medicine, Tsinghua University, Beijing 100084, China. wlxing@tsinghua.edu.cn.
Lab on a Chip
|July 18, 2018
Summary
This study presents a rapid, chip-based method for detecting common urinary tract infection (UTI) bacteria. The new technique significantly reduces diagnostic time from days to under an hour, improving patient care for bacterial infections.
Area of Science:
- Clinical Microbiology
- Biotechnology
- Medical Diagnostics
Background:
- Bacterial infections like UTIs require prompt diagnosis for effective treatment.
- Current culture-based methods for bacterial identification are slow (3-7 days), delaying treatment.
- Rapid and sensitive bacterial detection is crucial for managing severe diseases.
Purpose of the Study:
- To develop a rapid, sensitive, and multiplex method for detecting major pathogenic bacteria in urine samples.
- To overcome the limitations of time-consuming culture-based diagnostics for UTIs.
- To accelerate the diagnosis of urinary tract infections (UTIs) and bacteriuria.
Main Methods:
- Enrichment of bacteria from urine samples using a portable filter-based pipette.
- Development of a centrifugal chip integrating DNA extraction, multiplex recombinase polymerase amplification (RPA), and fluorescent detection.
- Detection of five key UTI pathogens: Escherichia coli, Proteus mirabilis, Pseudomonas aeruginosa, Staphylococcus aureus, and Salmonella typhimurium.
Main Results:
- Successful detection of E. coli, P. mirabilis, P. aeruginosa, and S. aureus within 40 minutes at 100 CFU mL-1.
- Detection of S. typhimurium within 40 minutes at 1000 CFU mL-1.
- Elimination of the need for bacterial cultivation, significantly reducing diagnosis time.
Conclusions:
- The developed chip-based method offers a promising tool for rapid and accurate bacterial identification in clinical urine samples.
- This technology can significantly improve the diagnosis and management of UTIs and bacteriuria.
- The method enables sensitive, accurate, and multiplex detection of common UTI pathogens.

