Optimizing tuberculosis treatment efficacy: Comparing the standard regimen with Moxifloxacin-containing regimens

M Budak, JM Cicchese, P Maiello… - PLOS Computational …, 2023 - journals.plos.org
Tuberculosis (TB) continues to be one of the deadliest infectious diseases in the world,
causing~ 1.5 million deaths every year. The World Health Organization initiated an End TB …

Applying optimization algorithms to tuberculosis antibiotic treatment regimens

JM Cicchese, E Pienaar, DE Kirschner… - Cellular and molecular …, 2017 - Springer
Introduction Tuberculosis (TB), one of the most common infectious diseases, requires
treatment with multiple antibiotics taken over at least 6 months. This long treatment often …

Predictive modeling to study the treatment-shortening potential of novel tuberculosis drug regimens, toward bundling of preclinical data

SE Mudde, R Ayoun Alsoud… - The Journal of …, 2022 - academic.oup.com
Background Given the persistently high global burden of tuberculosis, effective and shorter
treatment options are needed. We explored the relationship between relapse and treatment …

Dose optimization of moxifloxacin and linezolid against tuberculosis using mathematical modeling and simulation

MT Heinrichs, GL Drusano, DL Brown… - International journal of …, 2019 - Elsevier
Introduction There is an urgent need for new anti-tuberculosis (TB) drugs and optimization of
current TB treatment. Moxifloxacin and linezolid are valuable options for the treatment of …

Comparing efficacies of moxifloxacin, levofloxacin and gatifloxacin in tuberculosis granulomas using a multi-scale systems pharmacology approach

E Pienaar, J Sarathy, B Prideaux… - PLoS computational …, 2017 - journals.plos.org
Granulomas are complex lung lesions that are the hallmark of tuberculosis (TB).
Understanding antibiotic dynamics within lung granulomas will be vital to improving and …

Model-based efficacy and toxicity comparisons of moxifloxacin for multidrug-resistant tuberculosis

HY Yun, V Chang, KK Radtke, Q Wang… - Open Forum …, 2022 - academic.oup.com
Background Moxifloxacin (MOX) is used as a first-choice drug to treat multidrug-resistant
tuberculosis (MDR-TB); however, evidence-based dosing optimization should be …

In silico evaluation and exploration of antibiotic tuberculosis treatment regimens

E Pienaar, V Dartois, JJ Linderman, DE Kirschner - BMC systems biology, 2015 - Springer
Background Improvement in tuberculosis treatment regimens requires selection of
antibiotics and dosing schedules from a large design space of possibilities. Incomplete …

Both pharmacokinetic variability and granuloma heterogeneity impact the ability of the first-line antibiotics to sterilize tuberculosis granulomas

JM Cicchese, V Dartois, DE Kirschner… - Frontiers in …, 2020 - frontiersin.org
Tuberculosis (TB) remains as one of the world's deadliest infectious diseases despite the
use of standardized antibiotic therapies. Recommended therapy for drug-susceptible TB is …

Levofloxacin pharmacokinetics/pharmacodynamics, dosing, susceptibility breakpoints, and artificial intelligence in the treatment of multidrug-resistant tuberculosis

D Deshpande, JG Pasipanodya… - Clinical Infectious …, 2018 - academic.oup.com
Background Levofloxacin is used for the treatment of multidrug-resistant tuberculosis;
however the optimal dose is unknown. Methods We used the hollow fiber system model of …

New paradigm for translational modeling to predict long‐term tuberculosis treatment response

IH Bartelink, N Zhang, RJ Keizer… - Clinical and …, 2017 - Wiley Online Library
Disappointing results of recent tuberculosis chemotherapy trials suggest that knowledge
gained from preclinical investigations was not utilized to maximal effect. A mouse‐to‐human …