Literature DB >> 19451303

Pharmacokinetics-pharmacodynamics of pyrazinamide in a novel in vitro model of tuberculosis for sterilizing effect: a paradigm for faster assessment of new antituberculosis drugs.

Tawanda Gumbo1, Chandima S W Siyambalapitiyage Dona, Claudia Meek, Richard Leff.   

Abstract

There are currently renewed efforts to develop drugs that could shorten the duration of antituberculosis therapy. This is best achieved by optimizing the sterilizing effect. However, the current pathway for the development of new molecules with the potential to have a sterilizing effect is inefficient. We designed an in vitro pharmacokinetic-pharmacodynamic model in which Mycobacterium tuberculosis replicating slowly at pH 5.8 was exposed to pyrazinamide by use of the concentration-time profiles encountered in patients. The sterilizing effect rates and the time to the emergence of drug resistance were examined. Daily pyrazinamide dosing for 28 days accurately achieved (i) the pyrazinamide pharmacokinetic parameters, (ii) the lack of early bactericidal activity, (iii) a sterilizing effect rate of 0.10 log(10) CFU/ml per day starting on day 6 of therapy, and (iv) a time to the emergence of resistance of the from 2 to 3 weeks of monotherapy encountered in patients with tuberculosis. Next, dose-scheduling studies were performed. The sterilizing effect was linked to the pyrazinamide ratio of the area under the concentration-time curve from 0 to 24 h (AUC(0-24)) to the MIC (r(2) = 0.80 to 0.90), with 90% of the maximal effect being achieved by an AUC(0-24)/MIC of 209.08. Resistance suppression was associated with the percentage of time that the concentration persisted above the MIC (r(2) = 0.73 to 0.91). Monte Carlo simulations of 10,000 patients demonstrated that the currently recommended pyrazinamide doses (15 to 30 mg/kg of body weight/day) achieved the AUC(0-24)/MIC of 209.08 in the epithelial lining fluid of only 15.1 to 53.3% of patients. Doses of >60 mg/kg per day performed better. Our vitro model for the sterilizing effect, together with Monte Carlo simulations, can be used for the faster identification of the clinical doses that are needed to achieve a sterilizing effect and that can then be studied in clinical trials.

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Year:  2009        PMID: 19451303      PMCID: PMC2715614          DOI: 10.1128/AAC.01681-08

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  53 in total

1.  The antituberculous activity of pyrazinamide in vitro and in the guinea pig.

Authors:  W STEENKEN; E WOLINSKY
Journal:  Am Rev Tuberc       Date:  1954-08

2.  The chemotherapy of pulmonary tuberculosis with pyrazinamide used alone and in combination with streptomycin, para-aminosalicylic acid, or isoniazid.

Authors:  W S SCHWARTZ; R E MOYER
Journal:  Am Rev Tuberc       Date:  1954-09

3.  pncA mutations as a major mechanism of pyrazinamide resistance in Mycobacterium tuberculosis: spread of a monoresistant strain in Quebec, Canada.

Authors:  S J Cheng; L Thibert; T Sanchez; L Heifets; Y Zhang
Journal:  Antimicrob Agents Chemother       Date:  2000-03       Impact factor: 5.191

4.  Two compartment kinetic model with multiple artificial capillary units.

Authors:  J Blaser; B B Stone; S H Zinner
Journal:  J Antimicrob Chemother       Date:  1985-01       Impact factor: 5.790

5.  Pyrazinamide inhibits the eukaryotic-like fatty acid synthetase I (FASI) of Mycobacterium tuberculosis.

Authors:  O Zimhony; J S Cox; J T Welch; C Vilchèze; W R Jacobs
Journal:  Nat Med       Date:  2000-09       Impact factor: 53.440

6.  Importance of beta-lactamase inhibitor pharmacokinetics in the pharmacodynamics of inhibitor-drug combinations: studies with piperacillin-tazobactam and piperacillin-sulbactam.

Authors:  P D Lister; A M Prevan; C C Sanders
Journal:  Antimicrob Agents Chemother       Date:  1997-04       Impact factor: 5.191

7.  Isoniazid pharmacokinetics-pharmacodynamics in an aerosol infection model of tuberculosis.

Authors:  Ramesh Jayaram; Radha K Shandil; Sheshagiri Gaonkar; Parvinder Kaur; B L Suresh; B N Mahesh; R Jayashree; Vrinda Nandi; Sowmya Bharath; E Kantharaj; V Balasubramanian
Journal:  Antimicrob Agents Chemother       Date:  2004-08       Impact factor: 5.191

8.  Pharmacokinetics-pharmacodynamics of rifampin in an aerosol infection model of tuberculosis.

Authors:  Ramesh Jayaram; Sheshagiri Gaonkar; Parvinder Kaur; B L Suresh; B N Mahesh; R Jayashree; Vrinda Nandi; Sowmya Bharat; R K Shandil; E Kantharaj; V Balasubramanian
Journal:  Antimicrob Agents Chemother       Date:  2003-07       Impact factor: 5.191

9.  Controlled trial of four thrice-weekly regimens and a daily regimen all given for 6 months for pulmonary tuberculosis.

Authors: 
Journal:  Lancet       Date:  1981-01-24       Impact factor: 79.321

10.  Serial counts of Mycobacterium tuberculosis in sputum as surrogate markers of the sterilising activity of rifampicin and pyrazinamide in treating pulmonary tuberculosis.

Authors:  R Brindle; J Odhiambo; D Mitchison
Journal:  BMC Pulm Med       Date:  2001       Impact factor: 3.317

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  101 in total

1.  In silico children and the glass mouse model: clinical trial simulations to identify and individualize optimal isoniazid doses in children with tuberculosis.

Authors:  Prakash M Jeena; William R Bishai; Jotam G Pasipanodya; Tawanda Gumbo
Journal:  Antimicrob Agents Chemother       Date:  2010-11-22       Impact factor: 5.191

2.  Activity of pyrazinamide in the guinea pig model of tuberculosis.

Authors:  Denis A Mitchison
Journal:  Antimicrob Agents Chemother       Date:  2010-12       Impact factor: 5.191

Review 3.  An oracle: antituberculosis pharmacokinetics-pharmacodynamics, clinical correlation, and clinical trial simulations to predict the future.

Authors:  Jotam Pasipanodya; Tawanda Gumbo
Journal:  Antimicrob Agents Chemother       Date:  2010-10-11       Impact factor: 5.191

4.  Feasibility of a fixed-dose regimen of pyrazinamide and its impact on systemic drug exposure and liver safety in patients with tuberculosis.

Authors:  Tarjinder Sahota; Oscar Della Pasqua
Journal:  Antimicrob Agents Chemother       Date:  2012-07-09       Impact factor: 5.191

5.  Biological variability and the emergence of multidrug-resistant tuberculosis.

Authors:  Tawanda Gumbo
Journal:  Nat Genet       Date:  2013-07       Impact factor: 38.330

6.  Effect of Moxifloxacin plus Pretomanid against Mycobacterium tuberculosis in Log Phase, Acid Phase, and Nonreplicating-Persister Phase in an In Vitro Assay.

Authors:  Carolina de Miranda Silva; Amirhossein Hajihosseini; Jenny Myrick; Jocelyn Nole; Arnold Louie; Stephan Schmidt; George L Drusano
Journal:  Antimicrob Agents Chemother       Date:  2018-12-21       Impact factor: 5.191

7.  Counting pyrazinamide in regimens for multidrug-resistant tuberculosis.

Authors:  Molly F Franke; Mercedes C Becerra; Dylan B Tierney; Michael L Rich; Cesar Bonilla; Jaime Bayona; Megan M McLaughlin; Carole D Mitnick
Journal:  Ann Am Thorac Soc       Date:  2015-05

8.  Dose-dependent activity of pyrazinamide in animal models of intracellular and extracellular tuberculosis infections.

Authors:  Zahoor Ahmad; Mostafa M Fraig; Gregory P Bisson; Eric L Nuermberger; Jacques H Grosset; Petros C Karakousis
Journal:  Antimicrob Agents Chemother       Date:  2011-01-31       Impact factor: 5.191

9.  Thioridazine pharmacokinetic-pharmacodynamic parameters "Wobble" during treatment of tuberculosis: a theoretical basis for shorter-duration curative monotherapy with congeners.

Authors:  Sandirai Musuka; Shashikant Srivastava; Chandima Wasana Siyambalapitiyage Dona; Claudia Meek; Richard Leff; Jotam Pasipanodya; Tawanda Gumbo
Journal:  Antimicrob Agents Chemother       Date:  2013-09-16       Impact factor: 5.191

10.  New susceptibility breakpoints for first-line antituberculosis drugs based on antimicrobial pharmacokinetic/pharmacodynamic science and population pharmacokinetic variability.

Authors:  Tawanda Gumbo
Journal:  Antimicrob Agents Chemother       Date:  2010-01-19       Impact factor: 5.191

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