Bacterial temporal dynamics enable optimal design of antibiotic treatment.

Journal Article (Journal Article)

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. β-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 β-lactamase (ESBL) producing bacteria has limited the use of β-lactams. Due to the concern of complex drug responses, many β-lactams are typically ruled out if ESBL-producing pathogens are detected, even if these pathogens test as susceptible to some β-lactams. Using quantitative modeling, we show that β-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.

Full Text

Duke Authors

Cited Authors

  • Meredith, HR; Lopatkin, AJ; Anderson, DJ; You, L

Published Date

  • April 2015

Published In

Volume / Issue

  • 11 / 4

Start / End Page

  • e1004201 -

PubMed ID

  • 25905796

Pubmed Central ID

  • PMC4407907

Electronic International Standard Serial Number (EISSN)

  • 1553-7358

Digital Object Identifier (DOI)

  • 10.1371/journal.pcbi.1004201


  • eng

Conference Location

  • United States