Rapid identification of health care–associated infections with an integrated fluorescence anisotropy system
Author(s) -
Ki Soo Park,
Chen-Han Huang,
Kyungheon Lee,
YeongEun Yoo,
Cesar M. Castro,
Ralph Weissleder,
Hakho Lee
Publication year - 2016
Publication title -
science advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.928
H-Index - 146
ISSN - 2375-2548
DOI - 10.1126/sciadv.1600300
Subject(s) - profiling (computer programming) , health care , medicine , identification (biology) , intensive care medicine , healthcare system , computer science , biology , ecology , economics , economic growth , operating system
Health care–associated infections (HAIs) and drug-resistant pathogens have become a major health care issue with millions of reported cases every year. Advanced diagnostics would allow clinicians to more quickly determine the most effective treatment, reduce the nonspecific use of broad-spectrum antimicrobials, and facilitate enrollment in new antibiotic treatments. We present a new integrated system, polarization anisotropy diagnostics (PAD), for rapid detection of HAI pathogens. The PAD uses changes of fluorescence anisotropy when detection probes recognize target bacterial nucleic acids. The technology is inherently robust against environmental noise and economically scalable for parallel measurements. The assay is fast (2 hours) and performed on-site in a single-tube format. When applied to clinical samples obtained from interventional procedures, the PAD determined the overall bacterial burden, differentiated HAI bacterial species, and identified drug resistance and virulence status. The PAD system holds promise as a powerful tool for near-patient, rapid HAI testing.
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