Literature DB >> 25587994

Comprehensive physicochemical, pharmacokinetic and activity profiling of anti-TB agents.

Suresh B Lakshminarayana1, Tan Bee Huat1, Paul C Ho2, Ujjini H Manjunatha1, Véronique Dartois3, Thomas Dick4, Srinivasa P S Rao1.   

Abstract

OBJECTIVES: The discovery and development of TB drugs has met limited success, with two new drugs approved over the last 40 years. Part of the difficulty resides in the lack of well-established in vitro or in vivo targets of potency and physicochemical and pharmacokinetic parameters. In an attempt to benchmark and compare such properties for anti-TB agents, we have experimentally determined and compiled these parameters for 36 anti-TB compounds, using standardized and centralized assays, thus ensuring direct comparability across drugs and drug classes.
METHODS: Potency parameters included growth inhibition, cidal activity against growing and non-growing bacteria and activity against intracellular mycobacteria. Pharmacokinetic parameters included basic physicochemical properties, solubility, permeability and metabolic stability. We then attempted to establish correlations between physicochemical, in vitro and in vivo pharmacokinetic and pharmacodynamic indices to tentatively inform future drug discovery efforts.
RESULTS: Two-thirds of the compounds tested showed bactericidal and intramacrophage activity. Most compounds exhibited favourable solubility, permeability and metabolic stability in standard in vitro pharmacokinetic assays. An analysis of human pharmacokinetic parameters revealed associations between lipophilicity and volume of distribution, clearance, plasma protein binding and oral bioavailability. Not surprisingly, most compounds with favourable pharmacokinetic properties complied with Lipinski's rule of five.
CONCLUSIONS: However, most attempts to detect in vitro-in vivo correlations were unsuccessful, emphasizing the challenges of anti-TB drug discovery. The objective of this work is to provide a reference dataset for the TB drug discovery community with a focus on comparative in vitro potency and pharmacokinetics.
© The Author 2014. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Mycobacterium tuberculosis; in vitro potency; pharmacodynamics

Mesh:

Substances:

Year:  2014        PMID: 25587994      PMCID: PMC7714050          DOI: 10.1093/jac/dku457

Source DB:  PubMed          Journal:  J Antimicrob Chemother        ISSN: 0305-7453            Impact factor:   5.758


  42 in total

Review 1.  Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings.

Authors:  C A Lipinski; F Lombardo; B W Dominy; P J Feeney
Journal:  Adv Drug Deliv Rev       Date:  2001-03-01       Impact factor: 15.470

2.  Meropenem-clavulanic acid shows activity against Mycobacterium tuberculosis in vivo.

Authors:  Kathleen England; Helena I M Boshoff; Kriti Arora; Danielle Weiner; Emmanuel Dayao; Daniel Schimel; Laura E Via; Clifton E Barry
Journal:  Antimicrob Agents Chemother       Date:  2012-03-26       Impact factor: 5.191

Review 3.  Influence of pharmacokinetics/pharmacodynamics of antibacterials in their dosing regimen selection.

Authors:  Francesco Scaglione; Luca Paraboni
Journal:  Expert Rev Anti Infect Ther       Date:  2006-06       Impact factor: 5.091

Review 4.  Biopharmaceutics, pharmacokinetics and pharmacodynamics of antituberculosis drugs.

Authors:  Nageshwar R Budha; Richard E Lee; Bernd Meibohm
Journal:  Curr Med Chem       Date:  2008       Impact factor: 4.530

5.  An in vitro model for sequential study of shiftdown of Mycobacterium tuberculosis through two stages of nonreplicating persistence.

Authors:  L G Wayne; L G Hayes
Journal:  Infect Immun       Date:  1996-06       Impact factor: 3.441

6.  Molecular properties that influence the oral bioavailability of drug candidates.

Authors:  Daniel F Veber; Stephen R Johnson; Hung-Yuan Cheng; Brian R Smith; Keith W Ward; Kenneth D Kopple
Journal:  J Med Chem       Date:  2002-06-06       Impact factor: 7.446

7.  Pharmacokinetics and pharmacodynamics of TMC207 and its N-desmethyl metabolite in a murine model of tuberculosis.

Authors:  Marie-Claude Rouan; Nacer Lounis; Tom Gevers; Lieve Dillen; Ron Gilissen; Araz Raoof; Koen Andries
Journal:  Antimicrob Agents Chemother       Date:  2011-12-12       Impact factor: 5.191

8.  High-content imaging of Mycobacterium tuberculosis-infected macrophages: an in vitro model for tuberculosis drug discovery.

Authors:  Thierry Christophe; Fanny Ewann; Hee Kyoung Jeon; Jonathan Cechetto; Priscille Brodin
Journal:  Future Med Chem       Date:  2010-08       Impact factor: 3.808

Review 9.  Clinical pharmacology and lesion penetrating properties of second- and third-line antituberculous agents used in the management of multidrug-resistant (MDR) and extensively-drug resistant (XDR) tuberculosis.

Authors:  Véronique Dartois; Clifton E Barry
Journal:  Curr Clin Pharmacol       Date:  2010-05

Review 10.  Development of Mycobacterium tuberculosis whole cell screening hits as potential antituberculosis agents.

Authors:  Christopher B Cooper
Journal:  J Med Chem       Date:  2013-09-23       Impact factor: 7.446

View more
  56 in total

1.  Naïve Bayesian Models for Vero Cell Cytotoxicity.

Authors:  Alexander L Perryman; Jimmy S Patel; Riccardo Russo; Eric Singleton; Nancy Connell; Sean Ekins; Joel S Freundlich
Journal:  Pharm Res       Date:  2018-06-29       Impact factor: 4.200

2.  In Vitro Efficacies, ADME, and Pharmacokinetic Properties of Phenoxazine Derivatives Active against Mycobacterium tuberculosis.

Authors:  Lloyd Tanner; Joanna C Evans; Ronnett Seldon; Audrey Jordaan; Digby F Warner; Richard K Haynes; Christopher J Parkinson; Lubbe Wiesner
Journal:  Antimicrob Agents Chemother       Date:  2019-10-22       Impact factor: 5.191

3.  Moxifloxacin target site concentrations in patients with pulmonary TB utilizing microdialysis: a clinical pharmacokinetic study.

Authors:  M Tobias Heinrichs; Sergo Vashakidze; Ketino Nikolaishvili; Irina Sabulua; Nestani Tukvadze; Nino Bablishvili; Shota Gogishvili; Brent P Little; Adam Bernheim; Jeannette Guarner; Charles A Peloquin; Henry M Blumberg; Hartmut Derendorf; Russell R Kempker
Journal:  J Antimicrob Chemother       Date:  2018-02-01       Impact factor: 5.790

4.  Activity of lipophilic and hydrophilic drugs against dormant and replicating Mycobacterium tuberculosis.

Authors:  Giovanni Piccaro; Giovanna Poce; Mariangela Biava; Federico Giannoni; Lanfranco Fattorini
Journal:  J Antibiot (Tokyo)       Date:  2015-05-06       Impact factor: 2.649

5.  Distribution of Linezolid in Tuberculosis Lesions in Patients with Spinal Multidrug-Resistant Tuberculosis.

Authors:  Yuan Li; Weijie Dong; Tinglong Lan; Jun Fan; Shibing Qin; Ai Guo
Journal:  Antimicrob Agents Chemother       Date:  2020-06-23       Impact factor: 5.191

Review 6.  Hit and lead criteria in drug discovery for infectious diseases of the developing world.

Authors:  Kei Katsuno; Jeremy N Burrows; Ken Duncan; Rob Hooft van Huijsduijnen; Takushi Kaneko; Kiyoshi Kita; Charles E Mowbray; Dennis Schmatz; Peter Warner; B T Slingsby
Journal:  Nat Rev Drug Discov       Date:  2015-10-05       Impact factor: 84.694

7.  Addressing the Metabolic Stability of Antituberculars through Machine Learning.

Authors:  Thomas P Stratton; Alexander L Perryman; Catherine Vilchèze; Riccardo Russo; Shao-Gang Li; Jimmy S Patel; Eric Singleton; Sean Ekins; Nancy Connell; William R Jacobs; Joel S Freundlich
Journal:  ACS Med Chem Lett       Date:  2017-09-14       Impact factor: 4.345

Review 8.  Repositioning rifamycins for Mycobacterium abscessus lung disease.

Authors:  Uday S Ganapathy; Véronique Dartois; Thomas Dick
Journal:  Expert Opin Drug Discov       Date:  2019-06-14       Impact factor: 6.098

9.  Mycobacterium tuberculosis Rv2700 Contributes to Cell Envelope Integrity and Virulence.

Authors:  Edward R Ballister; Marie I Samanovic; K Heran Darwin
Journal:  J Bacteriol       Date:  2019-09-06       Impact factor: 3.490

10.  Predicting Mouse Liver Microsomal Stability with "Pruned" Machine Learning Models and Public Data.

Authors:  Alexander L Perryman; Thomas P Stratton; Sean Ekins; Joel S Freundlich
Journal:  Pharm Res       Date:  2015-09-28       Impact factor: 4.200

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.