Weakest-Link Dynamics Predict Apparent Antibiotic Interactions in a Model Cross-Feeding Community.

ABSTRACT: With the growing global threat of antimicrobial resistance, novel strategies are required for combatting resistant pathogens. Combination therapy, in which multiple drugs are used to treat an infection, has proven highly successful in the treatment of cancer and HIV. However, this practice has proven challenging for the treatment of bacterial infections due to difficulties in selecting the correct combinations and dosages. An additional challenge in infection treatment is the polymicrobial nature of many infections, which may respond to antibiotics differently than a monoculture pathogen. This study tests whether patterns of antibiotic interactions (synergy, antagonism, or independence/additivity) in monoculture can be used to predict antibiotic interactions in an obligate cross-feeding co

SUBMITTER: Adamowicz EM 

PROVIDER: S-EPMC7577160 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature