[HTML][HTML] Pre-clinical tools for predicting drug efficacy in treatment of tuberculosis

H Margaryan, DD Evangelopoulos, L Muraro Wildner… - Microorganisms, 2022 - mdpi.com
Combination therapy has, to some extent, been successful in limiting the emergence of drug-
resistant tuberculosis. Drug combinations achieve this advantage by simultaneously acting …

[PDF][PDF] Systematic measurement of combination-drug landscapes to predict in vivo treatment outcomes for tuberculosis

J Larkins-Ford, T Greenstein, N Van, YN Degefu… - Cell systems, 2021 - cell.com
Lengthy multidrug chemotherapy is required to achieve a durable cure in tuberculosis.
However, we lack well-validated, high-throughput in vitro models that predict animal …

Advances in the design of combination therapies for the treatment of tuberculosis

J Larkins-Ford, BB Aldridge - Expert opinion on drug discovery, 2023 - Taylor & Francis
Introduction Tuberculosis requires lengthy multi-drug therapy. Mycobacterium tuberculosis
occupies different tissue compartments during infection, making drug access and …

[HTML][HTML] Anti-tuberculosis treatment strategies and drug development: challenges and priorities

VA Dartois, EJ Rubin - Nature Reviews Microbiology, 2022 - nature.com
Despite two decades of intensified research to understand and cure tuberculosis disease,
biological uncertainties remain and hamper progress. However, owing to collaborative …

[HTML][HTML] Advancing the development of new tuberculosis treatment regimens: the essential role of translational and clinical pharmacology and microbiology

KE Dooley, D Hanna, V Mave, K Eisenach… - PLoS …, 2019 - journals.plos.org
Application of clinical pharmacology best practices is essential to the efficient and rational
development of drugs. In general, knowledge gained about exposure–response …

[HTML][HTML] Tools to develop antibiotic combinations that target drug tolerance in Mycobacterium tuberculosis

T Greenstein, BB Aldridge - Frontiers in Cellular and Infection …, 2023 - frontiersin.org
Combination therapy is necessary to treat tuberculosis to decrease the rate of disease
relapse and prevent the acquisition of drug resistance, and shorter regimens are urgently …

Development of new tuberculosis drugs: translation to regimen composition for drug-sensitive and multidrug-resistant tuberculosis

JP Ernest, N Strydom, Q Wang, N Zhang… - Annual review of …, 2021 - annualreviews.org
Tuberculosis (TB) kills more people than any other infectious disease. Challenges for
developing better treatments include the complex pathology due to within-host immune …

The implications of model-informed drug discovery and development for tuberculosis

M Muliaditan, GR Davies, USH Simonsson… - Drug Discovery …, 2017 - Elsevier
Highlights•Dose selection for new combination therapy in tuberculosis has remained
empirical.•Novel tools are needed for effective translation of preclinical models to humans.•A …

Transcriptomic signatures predict regulators of drug synergy and clinical regimen efficacy against tuberculosis

S Ma, S Jaipalli, J Larkins-Ford, J Lohmiller… - MBio, 2019 - Am Soc Microbiol
The rapid spread of multidrug-resistant strains has created a pressing need for new drug
regimens to treat tuberculosis (TB), which kills 1.8 million people each year. Identifying new …

[HTML][HTML] Understanding anti-tuberculosis drug efficacy: rethinking bacterial populations and how we model them

D Evangelopoulos, JD da Fonseca… - International Journal of …, 2015 - Elsevier
Tuberculosis still remains a global health emergency, claiming 1.5 million lives in 2013. The
bacterium responsible for this disease, Mycobacterium tuberculosis (M. tb), has successfully …