| Literature DB >> 32907990 |
Ling-Shan Yu1, Jesus Rodriguez-Manzano2,3, Nicolas Moser1, Ahmad Moniri1, Kenny Malpartida-Cardenas1, Nicholas Miscourides1, Thomas Sewell4, Tatiana Kochina4, Amelie Brackin4, Johanna Rhodes4, Alison H Holmes3, Matthew C Fisher4, Pantelis Georgiou1.
Abstract
Aspergillus fumigatus has widely evolved resistance to the most commonly used class of antifungal chemicals, the azoles. Current methods for identifying azole resistance are time-consuming and depend on specialized laboratories. There is an urgent need for rapid detection of these emerging pathogens at point-of-care to provide the appropriate treatment in the clinic and to improve management of environmental reservoirs to mitigate the spread of antifungal resistance. Our study demonstrates the rapid and portable detection of the two most relevant genetic markers linked to azole resistance, the mutations TR34 and TR46, found in the promoter region of the gene encoding the azole target cyp51A. We developed a lab-on-a-chip platform consisting of: (i) tandem-repeat loop-mediated isothermal amplification; (ii) state-of-the-art complementary metal-oxide-semiconductor microchip technology for nucleic acid amplification detection; and (iii) a smartphone application for data acquisition, visualization, and cloud connectivity. Specific and sensitive detection was validated with isolates from clinical and environmental samples from 6 countries across 5 continents, showing a lower limit of detection of 10 genomic copies per reaction in less than 30 min. When fully integrated with a sample preparation module, this diagnostic system will enable the detection of this ubiquitous fungus at the point-of-care, and could help to improve clinical decision making, infection control, and epidemiological surveillance.Entities:
Keywords: Aspergillus fumigatus; CMOS; LAMP; TR34; TR46; antimicrobial resistance; azole resistance; isothermal amplification; lab-on-a-chip; point-of-care
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Year: 2020 PMID: 32907990 PMCID: PMC7587087 DOI: 10.1128/JCM.00843-20
Source DB: PubMed Journal: J Clin Microbiol ISSN: 0095-1137 Impact factor: 5.948