Bacterial temporal dynamics enable optimal design of antibiotic treatment.
PLoS Comput Biol
; 11(4): e1004201, 2015 Apr.
Article
en En
| MEDLINE
| ID: mdl-25905796
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. ß-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 ß-lactamase (ESBL) producing bacteria has limited the use of ß-lactams. Due to the concern of complex drug responses, many ß-lactams are typically ruled out if ESBL-producing pathogens are detected, even if these pathogens test as susceptible to some ß-lactams. Using quantitative modeling, we show that ß-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.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Beta-Lactamasas
/
Quimioterapia Asistida por Computador
/
Resistencia betalactámica
/
Fenómenos Fisiológicos Bacterianos
/
Beta-Lactamas
/
Modelos Biológicos
Tipo de estudio:
Guideline
/
Prognostic_studies
Idioma:
En
Revista:
PLoS Comput Biol
Asunto de la revista:
BIOLOGIA
/
INFORMATICA MEDICA
Año:
2015
Tipo del documento:
Article
País de afiliación:
Estados Unidos