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 …

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 …

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 …

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 …

Challenges in the clinical assessment of novel tuberculosis drugs

KE Dooley, PPJ Phillips, P Nahid… - Advanced drug delivery …, 2016 - Elsevier
To tackle the global TB epidemic effectively, novel treatment strategies are critically needed
to shorten the duration of TB therapy and treat drug-resistant TB. Drug development for TB …

Tuberculosis drugs' distribution and emergence of resistance in patient's lung lesions: a mechanistic model and tool for regimen and dose optimization

N Strydom, SV Gupta, WS Fox, LE Via, H Bang… - PLoS …, 2019 - journals.plos.org
Background The sites of mycobacterial infection in the lungs of tuberculosis (TB) patients
have complex structures and poor vascularization, which obstructs drug distribution to these …

Mathematical model and tool to explore shorter multi-drug therapy options for active pulmonary tuberculosis

J Fors, N Strydom, WS Fox, RJ Keizer… - PLOS Computational …, 2020 - journals.plos.org
Standard treatment for active tuberculosis (TB) requires drug treatment with at least four
drugs over six months. Shorter-duration therapy would mean less need for strict adherence …

[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 …

A multi-scale pipeline linking drug transcriptomics with pharmacokinetics predicts in vivo interactions of tuberculosis drugs

JM Cicchese, A Sambarey, D Kirschner… - Scientific Reports, 2021 - nature.com
Tuberculosis (TB) is the deadliest infectious disease worldwide. The design of new
treatments for TB is hindered by the large number of candidate drugs, drug combinations …

Population pharmacokinetics and Bayesian dose adjustment to advance TDM of anti-TB drugs

MGG Sturkenboom, AG Märtson, EM Svensson… - Clinical …, 2021 - Springer
Tuberculosis (TB) is still the number one cause of death due to an infectious disease.
Pharmacokinetics and pharmacodynamics of anti-TB drugs are key in the optimization of TB …