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Pre-Clinical Tools for Predicting Drug Efficacy in Treatment of Tuberculosis

Margaryan, Hasmik; Evangelopoulos, Dimitrios D; Muraro Wildner, Leticia; McHugh, Timothy D; (2022) Pre-Clinical Tools for Predicting Drug Efficacy in Treatment of Tuberculosis. Microorganisms , 10 (3) , Article 514. 10.3390/microorganisms10030514. Green open access

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Abstract

Combination therapy has, to some extent, been successful in limiting the emergence of drug-resistant tuberculosis. Drug combinations achieve this advantage by simultaneously acting on different targets and metabolic pathways. Additionally, drug combination therapies are shown to shorten the duration of therapy for tuberculosis. As new drugs are being developed, to overcome the challenge of finding new and effective drug combinations, systems biology commonly uses approaches that analyse mycobacterial cellular processes. These approaches identify the regulatory networks, metabolic pathways, and signaling programs associated with M. tuberculosis infection and survival. Different preclinical models that assess anti-tuberculosis drug activity are available, but the combination of models that is most predictive of clinical treatment efficacy remains unclear. In this structured literature review, we appraise the options to accelerate the TB drug development pipeline through the evaluation of preclinical testing assays of drug combinations.

Type: Article
Title: Pre-Clinical Tools for Predicting Drug Efficacy in Treatment of Tuberculosis
Open access status: An open access version is available from UCL Discovery
DOI: 10.3390/microorganisms10030514
Publisher version: https://doi.org/10.3390/microorganisms10030514
Language: English
Additional information: © 2022 MDPI. This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/).
Keywords: tuberculosis; drug activity; in vitro preclinical modelling; MDR-TB; synergism; transcriptomics; high order combinations; drug combinations; drug efficacy
UCL classification: UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Eastman Dental Institute > Microbial Diseases
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Eastman Dental Institute
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Infection and Immunity
URI: https://discovery.ucl.ac.uk/id/eprint/10144828
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