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

Authors :
Margaryan, Hasmik
Evangelopoulos, Dimitrios D.
Muraro Wildner, Leticia
McHugh, Timothy D.
Source :
Microorganisms; Mar2022, Vol. 10 Issue 3, p514, 17p
Publication Year :
2022

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20762607
Volume :
10
Issue :
3
Database :
Complementary Index
Journal :
Microorganisms
Publication Type :
Academic Journal
Accession number :
156073239
Full Text :
https://doi.org/10.3390/microorganisms10030514