Literature DB >> 25166216

A pharmacokinetic-viral kinetic model describes the effect of alisporivir as monotherapy or in combination with peg-IFN on hepatitis C virologic response.

T H T Nguyen1, F Mentré1, M Levi2, J Yu3, J Guedj1.   

Abstract

Alisporivir is a cyclophilin inhibitor with demonstrated in vitro and in vivo activity against hepatitis C virus (HCV). We estimated the antiviral effectiveness of alisporivir alone or in combination with pegylated interferon (peg-IFN) in 88 patients infected with different HCV genotypes treated for 4 weeks. The pharmacokinetics of the two drugs were modeled and used as driving functions for the viral kinetic model. Genotype was found to significantly affect peg-IFN effectiveness (ɛ = 86.3 and 99.1% for genotypes 1/4 and genotypes 2/3, respectively, P < 10(-7)) and the loss rate of infected cells (δ = 0.22 vs. 0.39 per day in genotype 1/4 and genotype 2/3 patients, respectively, P < 10(-6)). Alisporivir effectiveness was not significantly different across genotypes and was high for doses ≥600 mg q.d. We simulated virologic responses with other alisporivir dosing regimens in HCV genotype 2/3 patients using the model. Our predictions consistently matched the observed responses, demonstrating that this model could be a useful tool for anticipating virologic response and optimizing alisporivir-based therapies.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25166216     DOI: 10.1038/clpt.2014.173

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  8 in total

1.  Modeling population heterogeneity in viral dynamics for chronic hepatitis C infection: Insights from Phase 3 telaprevir clinical studies.

Authors:  Eric L Haseltine; Holly Kimko; Haobin Luo; John Tolsma; Doug J Bartels; Tara L Kieffer; Varun Garg
Journal:  J Pharmacokinet Pharmacodyn       Date:  2015-08-20       Impact factor: 2.745

2.  Individual Bayesian Information Matrix for Predicting Estimation Error and Shrinkage of Individual Parameters Accounting for Data Below the Limit of Quantification.

Authors:  Thi Huyen Tram Nguyen; Thu Thuy Nguyen; France Mentré
Journal:  Pharm Res       Date:  2017-06-28       Impact factor: 4.200

Review 3.  Modelling hepatitis C therapy--predicting effects of treatment.

Authors:  Alan S Perelson; Jeremie Guedj
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2015-06-30       Impact factor: 46.802

4.  Integrated pharmacokinetic/viral dynamic model for daclatasvir/asunaprevir in treatment of patients with genotype 1 chronic hepatitis C.

Authors:  He-Chuan Wang; Yu-Peng Ren; Yue Qiu; Jenny Zheng; Gai-Ling Li; Chuan-Pu Hu; Tian-Yan Zhou; Wei Lu; Liang Li
Journal:  Acta Pharmacol Sin       Date:  2017-09-07       Impact factor: 6.150

5.  Alisporivir Has Limited Antiviral Effects Against Ebola Virus Strains Makona and Mayinga.

Authors:  Abhilash I Chiramel; Logan Banadyga; Jonathan D Dougherty; Darryl Falzarano; Cynthia Martellaro; Dominique Brees; R Travis Taylor; Hideki Ebihara; Sonja M Best
Journal:  J Infect Dis       Date:  2016-08-10       Impact factor: 5.226

6.  A pharmacokinetic/viral kinetic model to evaluate the treatment effectiveness of danoprevir against chronic HCV.

Authors:  Laetitia Canini; Anushree Chatterjee; Jeremie Guedj; Annabelle Lemenuel-Diot; Barbara Brennan; Patrick F Smith; Alan S Perelson
Journal:  Antivir Ther       Date:  2014-10-16

7.  The cyclophilin-inhibitor alisporivir stimulates antigen presentation thereby promoting antigen-specific CD8(+) T cell activation.

Authors:  Katharina Esser-Nobis; Julia Schmidt; Katja Nitschke; Christoph Neumann-Haefelin; Robert Thimme; Volker Lohmann
Journal:  J Hepatol       Date:  2016-02-26       Impact factor: 25.083

Review 8.  HCV Kinetic Models and Their Implications in Drug Development.

Authors:  Tht Nguyen; J Guedj
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2015-04-17
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.