Literature DB >> 15544516

Predictive in vitro models of the sterilizing activity of anti-tuberculosis drugs.

Denis A Mitchison1, Anthony R M Coates.   

Abstract

Sterilizing drugs kill Mycobacterium tuberculosis that persists during chemotherapy. Predictive models should mimic the conditions causing persistence in the lesions of cavitary disease, and should grade current anti-tuberculosis drugs according to their sterilizing activity determined in clinical trials. Models should start with old, stationary cultures grown micro-aerophilically. In these, persistent bacilli occur in different populations in which there is no appreciable cell division. Population 1. Grows in liquid culture medium but not on solid medium. Killed by rifampicin. Population 2. Grows on solid culture medium. Killed by rifampicin. Population 3. Grows in liquid medium but not on solid medium. Tolerant of rifampicin. Population 4. Bacilli from Cornell model mice, after treatment with pyrazinamide and isoniazid, cannot grow in liquid or on solid culture medium. Some of these populations are incorporated in models which start with 100-day liquid medium cultures. In model 1 (population 2) the new drug is added and colony counted after 7 days incubation. In models 2 and 3, 100 mg/L rifampicin is added to the 100-day culture when the bacilli lose their ability to grow on solid culture medium (population 3). After re-suspension in rifampicin-free liquid medium for 7 days, the bacilli recover growth on solid medium, when a colony count is done. The new drug is added during incubation with rifampicin in model 3 and at the start of recovery in drug-free medium in model 2. Models 1 and 3 grade isoniazid, rifampicin and pyrazinamide according to their sterilizing activity determined by clinical trials.

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Year:  2004        PMID: 15544516     DOI: 10.2174/1381612043383269

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  19 in total

1.  Time to detection of the growth of Mycobacterium tuberculosis in MGIT 960 for determining the early bactericidal activity of antituberculosis agents.

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2.  Early bactericidal activity and pharmacokinetics of PA-824 in smear-positive tuberculosis patients.

Authors:  Andreas H Diacon; Rodney Dawson; Madeleine Hanekom; Kim Narunsky; Stefan J Maritz; Amour Venter; Peter R Donald; Christo van Niekerk; Karl Whitney; Doris J Rouse; Martino W Laurenzi; Ann M Ginsberg; Melvin K Spigelman
Journal:  Antimicrob Agents Chemother       Date:  2010-05-24       Impact factor: 5.191

3.  Use of nonlinear mixed-effects analysis for improved precision of early pharmacodynamic measures in tuberculosis treatment.

Authors:  Geraint R Davies; Richard Brindle; Saye H Khoo; Leon J Aarons
Journal:  Antimicrob Agents Chemother       Date:  2006-09       Impact factor: 5.191

Review 4.  Tuberculosis pharmacotherapy: strategies to optimize patient care.

Authors:  Carole D Mitnick; Bryan McGee; Charles A Peloquin
Journal:  Expert Opin Pharmacother       Date:  2009-02       Impact factor: 3.889

5.  Pharmacokinetic evaluation of the penetration of antituberculosis agents in rabbit pulmonary lesions.

Authors:  Maria C Kjellsson; Laura E Via; Anne Goh; Danielle Weiner; Kang Min Low; Steven Kern; Goonaseelan Pillai; Clifton E Barry; Véronique Dartois
Journal:  Antimicrob Agents Chemother       Date:  2011-10-10       Impact factor: 5.191

Review 6.  New drugs and regimens for treatment of TB.

Authors:  Eric Leibert; William N Rom
Journal:  Expert Rev Anti Infect Ther       Date:  2010-07       Impact factor: 5.091

7.  Polyphosphate deficiency in Mycobacterium tuberculosis is associated with enhanced drug susceptibility and impaired growth in guinea pigs.

Authors:  Ramandeep Singh; Mamta Singh; Garima Arora; Santosh Kumar; Prabhakar Tiwari; Saqib Kidwai
Journal:  J Bacteriol       Date:  2013-04-12       Impact factor: 3.490

8.  Identification of a small molecule with activity against drug-resistant and persistent tuberculosis.

Authors:  Feng Wang; Dhinakaran Sambandan; Rajkumar Halder; Jianing Wang; Sarah M Batt; Brian Weinrick; Insha Ahmad; Pengyu Yang; Yong Zhang; John Kim; Morad Hassani; Stanislav Huszar; Claudia Trefzer; Zhenkun Ma; Takushi Kaneko; Khisi E Mdluli; Scott Franzblau; Arnab K Chatterjee; Kai Johnsson; Kai Johnson; Katarina Mikusova; Gurdyal S Besra; Klaus Fütterer; Scott H Robbins; S Whitney Barnes; John R Walker; William R Jacobs; Peter G Schultz
Journal:  Proc Natl Acad Sci U S A       Date:  2013-06-17       Impact factor: 11.205

9.  The three RelE homologs of Mycobacterium tuberculosis have individual, drug-specific effects on bacterial antibiotic tolerance.

Authors:  Ramandeep Singh; Clifton E Barry; Helena I M Boshoff
Journal:  J Bacteriol       Date:  2010-01-08       Impact factor: 3.490

Review 10.  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

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