Literature DB >> 34424046

Model-Based Exposure-Response Assessment for Spectinamide 1810 in a Mouse Model of Tuberculosis.

Santosh Wagh1, Chetan Rathi1, Pradeep B Lukka1, Keyur Parmar1, Zaid Temrikar1, Jiuyu Liu2, Michael S Scherman3, Richard E Lee2, Gregory T Robertson3, Anne J Lenaerts3, Bernd Meibohm1.   

Abstract

Despite decades of research, tuberculosis remains a leading cause of death from a single infectious agent. Spectinamides are a promising novel class of antituberculosis agents, and the lead spectinamide 1810 has demonstrated excellent efficacy, safety, and drug-like properties in numerous in vitro and in vivo assessments in mouse models of tuberculosis. In the current dose ranging and dose fractionation study, we used 29 different combinations of dose level and dosing frequency to characterize the exposure-response relationship for spectinamide 1810 in a mouse model of Mycobacterium tuberculosis infection and in healthy animals. The obtained data on 1810 plasma concentrations and counts of CFU in lungs were analyzed using a population pharmacokinetic/pharmacodynamic (PK/PD) approach as well as classical anti-infective PK/PD indices. The analysis results indicate that there was no difference in the PK of 1810 in infected compared to healthy, uninfected animals. The PK/PD index analysis showed that bacterial killing of 1810 in mice was best predicted by the ratio of maximum free drug concentration to MIC (fCmax/MIC) and the ratio of the area under the free concentration-time curve to the MIC (fAUC/MIC) rather than the cumulative percentage of time that the free drug concentration is above the MIC (f%TMIC). A novel PK/PD model with consideration of postantibiotic effect could adequately describe the exposure-response relationship for 1810 and supports the notion that the in vitro observed postantibiotic effect of this spectinamide also translates to the in vivo situation in mice. The obtained results and pharmacometric model for the exposure-response relationship of 1810 provide a rational basis for dose selection in future efficacy studies of this compound against M. tuberculosis.

Entities:  

Keywords:  Mycobacterium tuberculosis; exposure-response; mathematical modeling; pharmacodynamics; pharmacokinetics

Mesh:

Substances:

Year:  2021        PMID: 34424046      PMCID: PMC8522768          DOI: 10.1128/AAC.01744-20

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


  59 in total

1.  Correlation between bactericidal activity and postantibiotic effect for five antibiotics with different mechanisms of action.

Authors:  R C Li; S W Lee; C H Kong
Journal:  J Antimicrob Chemother       Date:  1997-07       Impact factor: 5.790

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Authors:  B S Vogelman; W A Craig
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3.  Gatifloxacin Pharmacokinetics/Pharmacodynamics-based Optimal Dosing for Pulmonary and Meningeal Multidrug-resistant Tuberculosis.

Authors:  Devyani Deshpande; Jotam G Pasipanodya; Shashikant Srivastava; Paula Bendet; Thearith Koeuth; Sujata M Bhavnani; Paul G Ambrose; Wynand Smythe; Helen McIlleron; Guy Thwaites; Mourad Gumusboga; Armand Van Deun; Tawanda Gumbo
Journal:  Clin Infect Dis       Date:  2018-11-28       Impact factor: 9.079

4.  Development of a safe and effective pediatric dosing regimen for sotalol based on population pharmacokinetics and pharmacodynamics in children with supraventricular tachycardia.

Authors:  Stephanie Läer; Jan-Peer Elshoff; Bernd Meibohm; Jochen Weil; Thomas S Mir; Wenhui Zhang; Martin Hulpke-Wette
Journal:  J Am Coll Cardiol       Date:  2005-10-04       Impact factor: 24.094

5.  Pharmacokinetic Evidence from the HIRIF Trial To Support Increased Doses of Rifampin for Tuberculosis.

Authors:  C A Peloquin; G E Velásquez; L Lecca; R I Calderón; J Coit; M Milstein; E Osso; J Jimenez; K Tintaya; E Sanchez Garavito; D Vargas Vasquez; C D Mitnick; G Davies
Journal:  Antimicrob Agents Chemother       Date:  2017-07-25       Impact factor: 5.191

6.  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

7.  Simultaneous modeling of pharmacokinetics and pharmacodynamics: application to d-tubocurarine.

Authors:  L B Sheiner; D R Stanski; S Vozeh; R D Miller; J Ham
Journal:  Clin Pharmacol Ther       Date:  1979-03       Impact factor: 6.875

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.  In vitro postantibiotic effects of rifapentine, isoniazid, and moxifloxacin against Mycobacterium tuberculosis.

Authors:  Chiu-Yeung Chan; Carrie Au-Yeang; Wing-Wai Yew; Chi-Chiu Leung; Augustine F B Cheng
Journal:  Antimicrob Agents Chemother       Date:  2004-01       Impact factor: 5.191

10.  Mechanistic Modeling of Mycobacterium tuberculosis Infection in Murine Models for Drug and Vaccine Efficacy Studies.

Authors:  Nan Zhang; Natasha Strydom; Sandeep Tyagi; Heena Soni; Rokeya Tasneen; Eric L Nuermberger; Rada M Savic
Journal:  Antimicrob Agents Chemother       Date:  2020-02-21       Impact factor: 5.191

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