| Literature DB >> 22474362 |
Amy K Barczak1, James E Gomez, Benjamin B Kaufmann, Ella R Hinson, Lisa Cosimi, Mark L Borowsky, Andrew B Onderdonk, Sarah A Stanley, Devinder Kaur, Kevin F Bryant, David M Knipe, Alexander Sloutsky, Deborah T Hung.
Abstract
With rising rates of drug-resistant infections, there is a need for diagnostic methods that rapidly can detect the presence of pathogens and reveal their susceptibility to antibiotics. Here we propose an approach to diagnosing the presence and drug-susceptibility of infectious diseases based on direct detection of RNA from clinical samples. We demonstrate that species-specific RNA signatures can be used to identify a broad spectrum of infectious agents, including bacteria, viruses, yeast, and parasites. Moreover, we show that the behavior of a small set of bacterial transcripts after a brief antibiotic pulse can rapidly differentiate drug-susceptible and -resistant organisms and that these measurements can be made directly from clinical materials. Thus, transcriptional signatures could form the basis of a uniform diagnostic platform applicable across a broad range of infectious agents.Entities:
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Year: 2012 PMID: 22474362 PMCID: PMC3341018 DOI: 10.1073/pnas.1119540109
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205