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Published on: February 14, 2022
Integrated Biosensor Assay for Rapid Uropathogen Identification and Phenotypic Antimicrobial Susceptibility Testing.
Emanuela Altobelli1, Ruchika Mohan2, Kathleen E Mach2
1Department of Urology, Stanford University School of Medicine, Stanford, CA, USA; Department of Urology, Campus Biomedico University of Rome, Rome, Italy.
A novel biosensor test rapidly diagnoses urinary tract infections (UTIs), identifying pathogens and determining antibiotic susceptibility. This innovation promises faster treatment and improved antibiotic stewardship for UTIs.
Area of Science:
- Biomedical Engineering
- Clinical Microbiology
- Molecular Diagnostics
Background:
- Standard urinary tract infection (UTI) diagnosis via urine culture takes 2-3 days, leading to empiric antibiotic treatment.
- This delay contributes to antibiotic misuse and the rise of resistant pathogens.
- Rapid diagnostic tests for UTIs are needed to improve patient care and antibiotic stewardship.
Purpose of the Study:
- To develop and validate an integrated biosensor assay for UTI diagnosis.
- The assay aims to identify pathogens and perform antimicrobial susceptibility testing (AST).
- Specifically, it determines the minimum inhibitory concentration (MIC) for ciprofloxacin.
Main Methods:
- Urine samples (n=84 Enterobacteriaceae-positive, n=23 culture-negative) were analyzed.
- An electrochemical biosensor array with complementary DNA probes was used.
- Bacterial 16S rRNA was quantified after incubation with and without ciprofloxacin for pathogen ID and MIC determination.
Main Results:
- The biosensor assay achieved 98.5% sensitivity and 96.6% specificity for pathogen identification.
- Categorical and essential agreement for ciprofloxacin MIC was 97.6%.
- Results were comparable to standard culture but in a significantly shorter assay time.
Conclusions:
- An integrated biosensor platform provides microbiological results, including MIC, comparable to standard culture.
- This technology has the potential for rapid molecular diagnosis of UTIs.
- Further automation and clinical studies are needed for translation to clinical practice.
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