Development of new tuberculosis drugs: translation to regimen composition for drug-sensitive and multidrug-resistant tuberculosis
Tuberculosis (TB) kills more people than any other infectious disease. Challenges for
developing better treatments include the complex pathology due to within-host immune …
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 …
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 …
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 …
development of drugs. In general, knowledge gained about exposure–response …
Challenges in the clinical assessment of novel tuberculosis drugs
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
Pharmacokinetics and pharmacodynamics of anti-TB drugs are key in the optimization of TB …