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Droplet-Based Single-Cell Measurements of 16S rRNA Enable Integrated Bacteria Identification and Pheno-Molecular Antimicrobial Susceptibility Testing from Clinical Samples in 30 min.
Kaushik, Aniruddha M; Hsieh, Kuangwen; Mach, Kathleen E; Lewis, Shawna; Puleo, Christopher M; Carroll, Karen C; Liao, Joseph C; Wang, Tza-Huei.
Afiliação
  • Kaushik AM; Department of Mechanical Engineering Johns Hopkins University Baltimore MD 21218 USA.
  • Hsieh K; Department of Mechanical Engineering Johns Hopkins University Baltimore MD 21218 USA.
  • Mach KE; Department of Urology Stanford University School of Medicine Stanford CA 94305 USA.
  • Lewis S; Division of Medical Microbiology Department of Pathology Johns Hopkins University School of Medicine Baltimore MD 21287 USA.
  • Puleo CM; Electronics Organization GE Global Research Center Niskayuna NY 12309 USA.
  • Carroll KC; Division of Medical Microbiology Department of Pathology Johns Hopkins University School of Medicine Baltimore MD 21287 USA.
  • Liao JC; Department of Urology Stanford University School of Medicine Stanford CA 94305 USA.
  • Wang TH; Department of Mechanical Engineering Johns Hopkins University Baltimore MD 21218 USA.
Adv Sci (Weinh) ; 8(6): 2003419, 2021 Mar.
Article em En | MEDLINE | ID: mdl-33747737
ABSTRACT
Empiric broad-spectrum antimicrobial treatments of urinary tract infections (UTIs) have contributed to widespread antimicrobial resistance. Clinical adoption of evidence-based treatments necessitates rapid diagnostic methods for pathogen identification (ID) and antimicrobial susceptibility testing (AST) with minimal sample preparation. In response, a microfluidic droplet-based platform is developed for achieving both ID and AST from urine samples within 30 min. In this platform, fluorogenic hybridization probes are utilized to detect 16S rRNA from single bacterial cells encapsulated in picoliter droplets, enabling molecular identification of uropathogenic bacteria directly from urine in as little as 16 min. Moreover, in-droplet single-bacterial measurements of 16S rRNA provide a surrogate for AST, shortening the exposure time to 10 min for gentamicin and ciprofloxacin. A fully integrated device and screening workflow were developed to test urine specimens for one of seven unique diagnostic outcomes including the presence/absence of Gram-negative bacteria, molecular ID of the bacteriaas Escherichia coli, an Enterobacterales, or other organism, and assessment of bacterial susceptibility to ciprofloxacin. In a 50-specimen clinical comparison study, the platform demonstrates excellent performance compared to clinical standard methods (areas-under-curves, AUCs >0.95), within a small fraction of the turnaround time, highlighting its clinical utility.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Adv Sci (Weinh) Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Adv Sci (Weinh) Ano de publicação: 2021 Tipo de documento: Article
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