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Bacterial temporal dynamics enable optimal design of antibiotic treatment.

ABSTRACT: There is a critical need to better use existing antibiotics due to the urgent threat of antibiotic resistant bacteria coupled with the reduced effort in developing new antibiotics. ?-lactam antibiotics represent one of the most commonly used classes of antibiotics to treat a broad spectrum of Gram-positive and -negative bacterial pathogens. However, the rise of extended spectrum ?-lactamase (ESBL) producing bacteria has limited the use of ?-lactams. Due to the concern of complex drug responses, many ?-lactams are typically ruled out if ESBL-producing pathogens are detected, even if these pathogens test as susceptible to some ?-lactams. Using quantitative modeling, we show that ?-lactams could still effectively treat pathogens producing low or moderate levels of ESBLs when administered properly. We further develop a metric to guide the design of a dosing protocol to optimize treatment efficiency for any antibiotic-pathogen combination. Ultimately, optimized dosing protocols could allow reintroduction of a repertoire of first-line antibiotics with improved treatment outcomes and preserve last-resort antibiotics.

SUBMITTER: Meredith HR

PROVIDER: S-EPMC4407907 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature

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