Smartphone-based pathogen diagnosis in urinary sepsis patientsResearch in context

• Main Authors: Lucien Barnes, Douglas M. Heithoff, Scott P. Mahan, Gary N. Fox, Andrea Zambrano, Jane Choe, Lynn N. Fitzgibbons, Jamey D. Marth, Jeffrey C. Fried, H. Tom Soh, Michael J. Mahan
• Format: Article
• Language: English
• Published: Elsevier 2018-10-01
• Series: EBioMedicine
• Online Access: http://www.sciencedirect.com/science/article/pii/S2352396418303566

Background: There is an urgent need for rapid, sensitive, and affordable diagnostics for microbial infections at the point-of-care. Although a number of innovative systems have been reported that transform mobile phones into potential diagnostic tools, the translational challenge to clinical diagnostics remains a significant hurdle to overcome. Methods: A smartphone-based real-time loop-mediated isothermal amplification (smaRT-LAMP) system was developed for pathogen ID in urinary sepsis patients. The free, custom-built mobile phone app allows the phone to serve as a stand-alone device for quantitative diagnostics, allowing the determination of genome copy-number of bacterial pathogens in real time. Findings: A head-to-head comparative bacterial analysis of urine from sepsis patients revealed that the performance of smaRT-LAMP matched that of clinical diagnostics at the admitting hospital in a fraction of the time (~1 h vs. 18–28 h). Among patients with bacteremic complications of their urinary sepsis, pathogen ID from the urine matched that from the blood – potentially allowing pathogen diagnosis shortly after hospital admission. Additionally, smaRT-LAMP did not exhibit false positives in sepsis patients with clinically negative urine cultures. Interpretation: The smaRT-LAMP system is effective against diverse Gram-negative and -positive pathogens and biological specimens, costs less than $100 US to fabricate (in addition to the smartphone), and is configurable for the simultaneous detection of multiple pathogens. SmaRT-LAMP thus offers the potential to deliver rapid diagnosis and treatment of urinary tract infections and urinary sepsis with a simple test that can be performed at low cost at the point-of-care. Fund: National Institutes of Health, Chan-Zuckerberg Biohub, Bill and Melinda Gates Foundation. Keywords: Smartphone-based pathogen diagnosis, Urinary sepsis, Urinary tract infection, Urinary diagnostic test