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Smartphone-based pathogen diagnosis in urinary sepsis patients.
Lucien Barnes1, Douglas M Heithoff1, Scott P Mahan1
1Department of Molecular, Cellular, and Developmental Biology, Center for Nanomedicine, University of California, Santa Barbara, CA 93106, USA.
Ebiomedicine
|September 25, 2018
Summary
A new smartphone-based system enables rapid, low-cost pathogen identification for urinary sepsis at the point-of-care. This diagnostic tool matches clinical performance in under an hour, offering faster treatment for infections.
Area of Science:
- Point-of-care diagnostics
- Microbial infection detection
- Mobile health technology
Background:
- Urgent need for rapid, sensitive, and affordable point-of-care diagnostics for microbial infections.
- Existing mobile phone diagnostic systems face translational challenges for clinical use.
Purpose of the Study:
- To develop and evaluate a smartphone-based real-time loop-mediated isothermal amplification (smaRT-LAMP) system for pathogen identification in urinary sepsis.
- To enable quantitative, real-time bacterial pathogen detection using a mobile application.
Main Methods:
- Developed a smartphone-based real-time loop-mediated isothermal amplification (smaRT-LAMP) system.
- Utilized a custom-built mobile app for quantitative diagnostics and real-time genome copy-number determination.
- Conducted head-to-head comparative bacterial analysis of urine samples from sepsis patients.
Main Results:
- smaRT-LAMP performance matched clinical diagnostics, achieving results in ~1 hour compared to 18-28 hours.
- Pathogen identification in urine correlated with blood samples in patients with bacteremic complications.
- No false positives were observed in sepsis patients with negative urine cultures.
Conclusions:
- The smaRT-LAMP system effectively detects diverse Gram-negative and -positive pathogens in various specimens.
- Fabrication cost is under $100, offering a low-cost, point-of-care solution for urinary tract infections and sepsis.
- The system's configurability for multiplex pathogen detection supports rapid diagnosis and timely treatment.
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