Digital Quantification of DNA Replication and Chromosome Segregation Enables Determination of Antimicrobial Susceptibility after only 15 Minutes of Antibiotic Exposure. Issue 33 (30th June 2016)

• Record Type: Journal Article
• Authors: Schoepp, Nathan G.; Khorosheva, Eugenia M.; Schlappi, Travis S.; Curtis, Matthew S.; Humphries, Romney M.; Hindler, Janet A.; Ismagilov, Rustem F.
• Is Part Of: Angewandte Chemie international edition. Volume 55:Issue 33(2016)
• Page Start: 9557
• Page End: 9561
• Publication Date: 2016-06-30
• Subjects: analytical methods -- antibiotics -- DNA replication -- polymerase chain reaction -- susceptibility; Chemistry -- Periodicals; 540
• DOI: 10.1002/anie.201602763
• Languages: English
• ISSNs: 1433-7851

Abstract

Abstract: Rapid antimicrobial susceptibility testing (AST) would decrease misuse and overuse of antibiotics. The "holy grail" of AST is a phenotype‐based test that can be performed within a doctor visit. Such a test requires the ability to determine a pathogen's susceptibility after only a short antibiotic exposure. Herein, digital PCR (dPCR) was employed to test whether measuring DNA replication of the target pathogen through digital single‐molecule counting would shorten the required time of antibiotic exposure. Partitioning bacterial chromosomal DNA into many small volumes during dPCR enabled AST results after short exposure times by 1) precise quantification and 2) a measurement of how antibiotics affect the states of macromolecular assembly of bacterial chromosomes. This digital AST (dAST) determined susceptibility of clinical isolates from urinary tract infections (UTIs) after 15 min of exposure for all four antibiotic classes relevant to UTIs. This work lays the foundation to develop a rapid, point‐of‐care AST and strengthen global antibiotic stewardship. Abstract : Single‐molecule counting was used to detect subtle changes in the amount and the assembly state of bacterial chromosomes after a short exposure of live bacteria to antibiotics. The method employed digital PCR to determine the susceptibility of E. coli clinical isolates from urinary tract infections to four different antibiotics.