Literature DB >> 23325437

Losmapimod concentration-QT relationship in healthy volunteers: meta-analysis of data from six clinical trials.

Shuying Yang1, Misba Beerahee.   

Abstract

PURPOSE: The objective of this work was to describe the losmapimod concentration-QT relationship using meta-analysis of data from clinical trials with healthy volunteers and to evaluate the covariates that have significant impact on the QT prolongation.
METHODS: Losmapimod plasma concentration and QT interval data were collected from six early clinical studies with healthy volunteers. The electrocardiograms (ECGs) were collected at baseline and at a number of post-dose time points (losmapimod or placebo). The population pharmacokinetic/pharmacodynamic (PK/PD) modelling approach was applied to investigate the relationship between losmapimod concentration and QT prolongation.
RESULTS: The dataset for analysis comprised 190 healthy adults who took at least one dose of losmapimod or placebo. Of the 2,494 QT observations collected, 1,532 observations had matched QT and losmapimod plasma concentration data. Population PK/PD analyses indicated that the model with the individual heart rate correction factor (α) fitted the data better than those using fixed α (0.33 for Fridericia's correction or 0.5 for Bazett's correction) and that there was no relationship between losmapimod concentration and QT interval. Female volunteers had about a 3 % higher QT interval at baseline than the male volunteers. No other covariates had a significant effect on the QT interval.
CONCLUSIONS: It is appropriate to apply population PK/PD analysis to investigate the effect of drug concentration on QT prolongation. Our meta-analysis of healthy volunteer data indicated no relationship between systemic losmapimod concentration and QT interval in healthy volunteers.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23325437     DOI: 10.1007/s00228-012-1469-1

Source DB:  PubMed          Journal:  Eur J Clin Pharmacol        ISSN: 0031-6970            Impact factor:   2.953


  13 in total

1.  Measuring QT dispersion: man versus machine.

Authors:  A Murray; N B McLaughlin; R W Campbell
Journal:  Heart       Date:  1997-06       Impact factor: 5.994

2.  Assessing the probability of drug-induced QTc-interval prolongation during clinical drug development.

Authors:  A S Y Chain; K M Krudys; M Danhof; O Della Pasqua
Journal:  Clin Pharmacol Ther       Date:  2011-11-02       Impact factor: 6.875

3.  Comparison of QTc data analysis methods recommended by the ICH E14 guidance and exposure-response analysis: case study of a thorough QT study of asenapine.

Authors:  S Chapel; M M Hutmacher; H Bockbrader; R de Greef; R L Lalonde
Journal:  Clin Pharmacol Ther       Date:  2010-11-24       Impact factor: 6.875

4.  A perspective on the use of concentration-QT modeling in drug development.

Authors:  Tanya Russell; Steven P Riley; Jack A Cook; Richard L Lalonde
Journal:  J Clin Pharmacol       Date:  2008-01       Impact factor: 3.126

5.  Performance characteristics for some typical QT study designs under the ICH E-14 guidance.

Authors:  Matthew M Hutmacher; Sunny Chapel; Marilyn A Agin; Joseph C Fleishaker; Richard L Lalonde
Journal:  J Clin Pharmacol       Date:  2008-02       Impact factor: 3.126

6.  Is a thorough QTc study necessary? The role of modeling and simulation in evaluating the QTc prolongation potential of drugs.

Authors:  Shashank Rohatagi; Timothy J Carrothers; Jon Kuwabara-Wagg; Tatiana Khariton
Journal:  J Clin Pharmacol       Date:  2009-09-04       Impact factor: 3.126

Review 7.  Update on the evaluation of a new drug for effects on cardiac repolarization in humans: issues in early drug development.

Authors:  Vaibhav Salvi; Dilip R Karnad; Gopi Krishna Panicker; Snehal Kothari
Journal:  Br J Pharmacol       Date:  2009-09-23       Impact factor: 8.739

Review 8.  The thorough QT/QTc study 4 years after the implementation of the ICH E14 guidance.

Authors:  Borje Darpo
Journal:  Br J Pharmacol       Date:  2009-11-18       Impact factor: 8.739

Review 9.  Pharmacokinetic-pharmacodynamic modeling in the data analysis and interpretation of drug-induced QT/QTc prolongation.

Authors:  Vladimir Piotrovsky
Journal:  AAPS J       Date:  2005-10-24       Impact factor: 4.009

10.  An oral inhibitor of p38 MAP kinase reduces plasma fibrinogen in patients with chronic obstructive pulmonary disease.

Authors:  David A Lomas; David A Lipson; Bruce E Miller; Lisa Willits; Oliver Keene; Helen Barnacle; Neil C Barnes; Ruth Tal-Singer
Journal:  J Clin Pharmacol       Date:  2011-11-16       Impact factor: 3.126

View more
  4 in total

1.  Can an early phase clinical pharmacology study replace a thorough QT study? Experience with a novel H3-receptor antagonist/inverse agonist.

Authors:  Rashmi R Shah; Pierre Maison-Blanche; Philippe Robert; Emmanuel Denis; Thierry Duvauchelle
Journal:  Eur J Clin Pharmacol       Date:  2016-02-16       Impact factor: 2.953

Review 2.  The role of concentration-effect relationships in the assessment of QTc interval prolongation.

Authors:  Nicholas P France; Oscar Della Pasqua
Journal:  Br J Clin Pharmacol       Date:  2015-01       Impact factor: 4.335

Review 3.  Emerging treatment options to improve cardiovascular outcomes in patients with acute coronary syndrome: focus on losmapimod.

Authors:  Kristian Kragholm; Laura Kristin Newby; Chiara Melloni
Journal:  Drug Des Devel Ther       Date:  2015-08-05       Impact factor: 4.162

Review 4.  Discontinued Drugs for the Treatment of Cardiovascular Disease from 2016 to 2018.

Authors:  Tingting Li; Sida Jiang; Bingwei Ni; Qiuji Cui; Qinan Liu; Hongping Zhao
Journal:  Int J Mol Sci       Date:  2019-09-12       Impact factor: 5.923

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.