Forecasting Clinical Dose-Response From Preclinical Studies in Tuberculosis Research: Translational Predictions With Rifampicin-Reference-Cited by-同舟云学术

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Forecasting Clinical Dose-Response From Preclinical Studies in Tuberculosis Research: Translational Predictions With Rifampicin

Published:2018-06-19 Issue:6 Volume:104 Page:1208-1218
ISSN:0009-9236
Container-title:Clinical Pharmacology & Therapeutics
language:en
Short-container-title:Clin. Pharmacol. Ther.

Author:

Wicha Sebastian G.¹²,Clewe Oskar¹,Svensson Robin J.¹,Gillespie Stephen H.³,Hu Yanmin⁴,Coates Anthony R.M.⁴,Simonsson Ulrika S.H.¹

Affiliation:

1. Department of Pharmaceutical Biosciences; Uppsala University; Uppsala Sweden

2. Department of Clinical Pharmacy, Institute of Pharmacy; University of Hamburg; Hamburg Germany

3. School of Medicine; University of St Andrews; St Andrews UK

4. Institute for Infection and Immunity; St George's University of London; London UK

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cpt.1102/fullpdf

Reference37 articles.

1. Why do we use 600 mg of rifampicin in tuberculosis treatment?;Ingen;Clin. Infect. Dis.,2011

2. A multistate tuberculosis pharmacometric model: a framework for studying anti-tubercular drug effects in vitro;Clewe;J. Antimicrob. Chemother.,2016

3. Defining dormancy in mycobacterial disease;Lipworth;Tuberculosis,2016

4. Detection of mRNA transcripts and active transcription in persistent Mycobacterium tuberculosis induced by exposure to rifampicin or pyrazinamide;Hu;J. Bacteriol.,2000

5. A general pharmacodynamic interaction model identifies perpetrators and victims in drug interactions;Wicha;Nat. Commun.,2017

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1. stormTB: A web-based simulator of a murine minimal-PBPK model for anti-tuberculosis treatments;2024-07-08

2. Predicting early bactericidal activity using pre-clinical data for tuberculosis drugs: a platform for model-informed drug discovery and development;European Respiratory Journal;2023-08

3. Combined quantitative tuberculosis biomarker model for time-to-positivity and colony forming unit to support tuberculosis drug development;Frontiers in Pharmacology;2023-03-14

4. Translational predictions of phase 2a first-in-patient efficacy studies for antituberculosis drugs;2023-01-20

5. Personalized Tuberculosis Care for Drug-Resistant Tuberculosis;Integrated Science;2023

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