Literature DB >> 25809760

Understanding anti-tuberculosis drug efficacy: rethinking bacterial populations and how we model them.

Dimitrios Evangelopoulos1, Joana Diniz da Fonseca2, Simon J Waddell3.   

Abstract

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 survived within hostile host environments, adapting to immune defence mechanisms, for centuries. This has resulted in a disease that is challenging to treat, requiring lengthy chemotherapy with multi-drug regimens. One explanation for this difficulty in eliminating M.tb bacilli in vivo is the disparate action of antimicrobials on heterogeneous populations of M.tb, where mycobacterial physiological state may influence drug efficacy. In order to develop improved drug combinations that effectively target diverse mycobacterial phenotypes, it is important to understand how such subpopulations of M.tb are formed during human infection. We review here the in vitro and in vivo systems used to model M.tb subpopulations that may persist during drug therapy, and offer aspirations for future research in this field.
Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Mycobacterium tuberculosis; drug discovery; persistence models; phenotypic drug tolerance; subpopulations

Mesh:

Substances:

Year:  2015        PMID: 25809760     DOI: 10.1016/j.ijid.2014.11.028

Source DB:  PubMed          Journal:  Int J Infect Dis        ISSN: 1201-9712            Impact factor:   3.623


  16 in total

1.  A Macrophage Infection Model to Predict Drug Efficacy Against Mycobacterium Tuberculosis.

Authors:  Kaitlyn Schaaf; Virginia Hayley; Alexander Speer; Frank Wolschendorf; Michael Niederweis; Olaf Kutsch; Jim Sun
Journal:  Assay Drug Dev Technol       Date:  2016-06-21       Impact factor: 1.738

2.  Human mesenchymal stem cell based intracellular dormancy model of Mycobacterium tuberculosis.

Authors:  Vipul K Singh; Abhishek Mishra; Steven Bark; Arunmani Mani; Selvakumar Subbian; Robert L Hunter; Chinnaswamy Jagannath; Arshad Khan
Journal:  Microbes Infect       Date:  2020-06-17       Impact factor: 2.700

3.  A High-throughput Compatible Assay to Evaluate Drug Efficacy against Macrophage Passaged Mycobacterium tuberculosis.

Authors:  Kaitlyn Schaaf; Samuel R Smith; Virginia Hayley; Olaf Kutsch; Jim Sun
Journal:  J Vis Exp       Date:  2017-03-24       Impact factor: 1.355

4.  Current Indications and Outcome of Pulmonary Resections for Tuberculosis Complications in Ibadan, Nigeria.

Authors:  Mudasiru A Salami; Arinola A Sanusi; Victor O Adegboye
Journal:  Med Princ Pract       Date:  2017-11-16       Impact factor: 1.927

Review 5.  Drug permeation and metabolism in Mycobacterium tuberculosis: Prioritising local exposure as essential criterion in new TB drug development.

Authors:  Lloyd Tanner; Paolo Denti; Lubbe Wiesner; Digby F Warner
Journal:  IUBMB Life       Date:  2018-06-22       Impact factor: 3.885

Review 6.  Cholesterol and fatty acids grease the wheels of Mycobacterium tuberculosis pathogenesis.

Authors:  Kaley M Wilburn; Rachael A Fieweger; Brian C VanderVen
Journal:  Pathog Dis       Date:  2018-03-01       Impact factor: 3.166

7.  Analysis of influencing factors on the plasma concentration of first-line anti-tuberculosis drugs-a single-center retrospective cohort study.

Authors:  Guanren Zhao; Ming Chen; Lijun Sun; Na Xi
Journal:  Ann Transl Med       Date:  2022-04

8.  Safety of Resuming Tumor Necrosis Factor Inhibitors in Ankylosing Spondylitis Patients Concomitant with the Treatment of Active Tuberculosis: A Retrospective Nationwide Registry of the Korean Society of Spondyloarthritis Research.

Authors:  Hye Won Kim; Seong Ryul Kwon; Kyong-Hee Jung; Seong-Kyu Kim; Han Joo Baek; Mi Ryung Seo; So-Young Bang; Hye-Soon Lee; Chang-Hee Suh; Ju Yang Jung; Chang-Nam Son; Seung Cheol Shim; Sang-Hoon Lee; Seung-Geun Lee; Yeon-Ah Lee; Eun Young Lee; Tae-Hwan Kim; Yong-Gil Kim
Journal:  PLoS One       Date:  2016-04-21       Impact factor: 3.240

9.  Non-Invasive Microbial Metabolic Activity Sensing at Single Cell Level by Perfusion of Calcein Acetoxymethyl Ester.

Authors:  Christina E M Krämer; Abhijeet Singh; Stefan Helfrich; Alexander Grünberger; Wolfgang Wiechert; Katharina Nöh; Dietrich Kohlheyer
Journal:  PLoS One       Date:  2015-10-29       Impact factor: 3.240

10.  Pharmacokinetic-Pharmacodynamic modelling of intracellular Mycobacterium tuberculosis growth and kill rates is predictive of clinical treatment duration.

Authors:  Ghaith Aljayyoussi; Victoria A Jenkins; Raman Sharma; Alison Ardrey; Samantha Donnellan; Stephen A Ward; Giancarlo A Biagini
Journal:  Sci Rep       Date:  2017-03-29       Impact factor: 4.379

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