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Smartphone-based pathogen diagnosis in urinary sepsis patients
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 diagnos...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6197494/ https://www.ncbi.nlm.nih.gov/pubmed/30245056 http://dx.doi.org/10.1016/j.ebiom.2018.09.001 |
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author | Barnes, Lucien Heithoff, Douglas M. Mahan, Scott P. Fox, Gary N. Zambrano, Andrea Choe, Jane Fitzgibbons, Lynn N. Marth, Jamey D. Fried, Jeffrey C. Soh, H. Tom Mahan, Michael J. |
author_facet | Barnes, Lucien Heithoff, Douglas M. Mahan, Scott P. Fox, Gary N. Zambrano, Andrea Choe, Jane Fitzgibbons, Lynn N. Marth, Jamey D. Fried, Jeffrey C. Soh, H. Tom Mahan, Michael J. |
author_sort | Barnes, Lucien |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6197494 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-61974942018-10-24 Smartphone-based pathogen diagnosis in urinary sepsis patients Barnes, Lucien Heithoff, Douglas M. Mahan, Scott P. Fox, Gary N. Zambrano, Andrea Choe, Jane Fitzgibbons, Lynn N. Marth, Jamey D. Fried, Jeffrey C. Soh, H. Tom Mahan, Michael J. EBioMedicine Research paper 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. Elsevier 2018-09-20 /pmc/articles/PMC6197494/ /pubmed/30245056 http://dx.doi.org/10.1016/j.ebiom.2018.09.001 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research paper Barnes, Lucien Heithoff, Douglas M. Mahan, Scott P. Fox, Gary N. Zambrano, Andrea Choe, Jane Fitzgibbons, Lynn N. Marth, Jamey D. Fried, Jeffrey C. Soh, H. Tom Mahan, Michael J. Smartphone-based pathogen diagnosis in urinary sepsis patients |
title | Smartphone-based pathogen diagnosis in urinary sepsis patients |
title_full | Smartphone-based pathogen diagnosis in urinary sepsis patients |
title_fullStr | Smartphone-based pathogen diagnosis in urinary sepsis patients |
title_full_unstemmed | Smartphone-based pathogen diagnosis in urinary sepsis patients |
title_short | Smartphone-based pathogen diagnosis in urinary sepsis patients |
title_sort | smartphone-based pathogen diagnosis in urinary sepsis patients |
topic | Research paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6197494/ https://www.ncbi.nlm.nih.gov/pubmed/30245056 http://dx.doi.org/10.1016/j.ebiom.2018.09.001 |
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