Output-driven feedback system control platform optimizes combinatorial therapy of tuberculosis using a macrophage cell culture model.

ABSTRACT: Tuberculosis (TB) remains a major global public health problem, and improved treatments are needed to shorten duration of therapy, decrease disease burden, improve compliance, and combat emergence of drug resistance. Ideally, the most effective regimen would be identified by a systematic and comprehensive combinatorial search of large numbers of TB drugs. However, optimization of regimens by standard methods is challenging, especially as the number of drugs increases, because of the extremely large number of drug-dose combinations requiring testing. Herein, we used an optimization platform, feedback system control (FSC) methodology, to identify improved drug-dose combinations for TB treatment using a fluorescence-based human macrophage cell culture model of TB, in which macrophages are inf

SUBMITTER: Silva A 

PROVIDER: S-EPMC4839402 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature