Fast Identification and Quantification of Uropathogenic E. coli through Cluster Analysis
Jean-Baptiste Vendeville1, Mathew John Kyriakides1, Yuiko Takebayashi2
1FluoretiQ, Unit DX, St Philips Central, Albert Road, BS2 0XJ Bristol, United Kingdom.
A new 15-minute agglutination assay using mannose-functionalized microspheres rapidly identifies and counts uropathogenic Escherichia coli. This diagnostic tool aids antibiotic stewardship and point-of-care testing for urinary tract infections.
Area of Science:
- Biomedical Engineering
- Microbiology
- Diagnostic Assay Development
Background:
- Effective antibiotic stewardship requires rapid bacterial detection and identification.
- Broad-spectrum antibiotic overuse necessitates development of targeted diagnostic tools.
- Urinary tract infections (UTIs) are common and require timely diagnosis.
Purpose of the Study:
- To develop a rapid diagnostic assay for identifying and enumerating uropathogenic Escherichia coli.
- To enable point-of-care testing for common urinary tract infections.
- To support antibiotic stewardship by providing quick bacterial identification.
Main Methods:
- Development of a 15-minute agglutination assay.
- Utilized mannose-functionalized polymeric microspheres for bacterial capture.
- Employed cluster analysis for bacterial identification and enumeration.
- Tested assay performance in tryptic soy broth and human urine samples.
Main Results:
- Successfully identified and enumerated various Escherichia coli strains, including laboratory, clinical isolates, and uropathogenic strains.
- Achieved detection at clinically relevant concentrations (10^3-10^8 CFU/mL in broth, 10^5-10^8 CFU/mL in urine).
- Demonstrated assay feasibility within a 15-minute timeframe.
Conclusions:
- The developed mannose-functionalized microsphere agglutination assay is a fast, simple, and efficient method for bacterial detection.
- This assay represents a significant advancement towards point-of-care diagnostics for UTIs.
- The tool can aid in reducing unnecessary broad-spectrum antibiotic prescriptions through rapid pathogen identification.
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