Literature DB >> 20387096

Gene therapy: a pharmacokinetic/pharmacodynamic modelling overview.

Zinnia P Parra-Guillén1, Gloria González-Aseguinolaza, Pedro Berraondo, Iñaki F Trocóniz.   

Abstract

Since gene therapy started over 20 years ago, more than one-thousand clinical trials have been carried out. Nonviral vectors present interesting properties for their clinical application, but their efficiency in vivo is relatively low, and further improvements in these vectors are needed. Elucidating how nonviral vectors behave at the intracellular level is enlightening for vector improvement and optimization. Model-based approach is a powerful tool to understand and describe the different processes that gene transfer systems should overcome inside the body. Model-based approach allows for proposing and predicting the effect of parameter changes on the overall gene therapy response, as well as the known application of the pharmacokinetic/pharmacodynamic modelling in conventional therapies. The objective of this paper is to critically review the works in which the time-course of naked or formulated DNA have been quantitatively studied or modelled.

Mesh:

Year:  2010        PMID: 20387096     DOI: 10.1007/s11095-010-0136-4

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  57 in total

1.  Kinetic modeling of plasmid DNA degradation in rat plasma.

Authors:  B E Houk; G Hochhaus; J A Hughes
Journal:  AAPS PharmSci       Date:  1999

2.  Quantitative analysis of correlation between number of nuclear plasmids and gene expression activity after transfection with cationic liposomes.

Authors:  Rieko Tachibana; Hideyoshi Harashima; Naoko Ide; Sachiko Ukitsu; Yasuko Ohta; Norio Suzuki; Hiroshi Kikuchi; Yasuo Shinohara; Hiroshi Kiwada
Journal:  Pharm Res       Date:  2002-04       Impact factor: 4.200

Review 3.  In vivo characteristics of cationic liposomes as delivery vectors for gene therapy.

Authors:  Sandrine A L Audouy; Lou F M H de Leij; Dick Hoekstra; Grietje Molema
Journal:  Pharm Res       Date:  2002-11       Impact factor: 4.200

Review 4.  Controlling the kinetics of transgene expression by plasmid design.

Authors:  Nelson S Yew
Journal:  Adv Drug Deliv Rev       Date:  2005-04-05       Impact factor: 15.470

5.  Quantitative comparison of intracellular trafficking and nuclear transcription between adenoviral and lipoplex systems.

Authors:  Susumu Hama; Hidetaka Akita; Rie Ito; Hiroyuki Mizuguchi; Takao Hayakawa; Hideyoshi Harashima
Journal:  Mol Ther       Date:  2005-12-20       Impact factor: 11.454

6.  Pharmacokinetics of plasmid DNA in the rat.

Authors:  B E Houk; R Martin; G Hochhaus; J A Hughes
Journal:  Pharm Res       Date:  2001-01       Impact factor: 4.200

7.  Pharmacokinetic and pharmacodynamic modeling of recombinant human erythropoietin after multiple subcutaneous doses in healthy subjects.

Authors:  Wojciech Krzyzanski; William J Jusko; Mary C Wacholtz; Neil Minton; Wing K Cheung
Journal:  Eur J Pharm Sci       Date:  2005-11       Impact factor: 4.384

8.  Physicochemical and pharmacokinetic characteristics of plasmid DNA/cationic liposome complexes.

Authors:  R I Mahato; K Kawabata; T Nomura; Y Takakura; M Hashida
Journal:  J Pharm Sci       Date:  1995-11       Impact factor: 3.534

9.  Evaluation of pharmacokinetics of bioreducible gene delivery vectors by real-time PCR.

Authors:  Qing-Hui Zhou; Chao Wu; Devika Soundara Manickam; David Oupický
Journal:  Pharm Res       Date:  2009-02-25       Impact factor: 4.200

10.  Using pharmacokinetic-pharmacodynamic modelling as a tool for prediction of therapeutic effective plasma levels of antipsychotics.

Authors:  Christina Kurre Olsen; Lise Tøttrup Brennum; Mads Kreilgaard
Journal:  Eur J Pharmacol       Date:  2008-02-12       Impact factor: 4.432

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  9 in total

1.  Quantitative aspects of intracellularly-targeted drug delivery.

Authors:  David Stepensky
Journal:  Pharm Res       Date:  2010-09-02       Impact factor: 4.200

2.  Disease pharmacokinetic-pharmacodynamic modelling in acute intermittent porphyria to support the development of mRNA-based therapies.

Authors:  Zinnia P Parra-Guillen; Antonio Fontanellas; Lei Jiang; Daniel Jericó; Paolo Martini; Diego Vera-Yunca; Marjie Hard; Lin T Guey; Iñaki F Troconiz
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3.  Efficient tuning of siRNA dose response by combining mixed polymer nanocarriers with simple kinetic modeling.

Authors:  Chad T Greco; Victoria G Muir; Thomas H Epps; Millicent O Sullivan
Journal:  Acta Biomater       Date:  2017-01-04       Impact factor: 8.947

Review 4.  Gene therapy from the perspective of systems biology.

Authors:  Feilim Mac Gabhann; Brian H Annex; Aleksander S Popel
Journal:  Curr Opin Mol Ther       Date:  2010-10

5.  Vitamin A-coupled liposomes carrying TLR4-silencing shRNA induce apoptosis of pancreatic stellate cells and resolution of pancreatic fibrosis.

Authors:  Yuwei Zhang; Dan Yue; Liuliu Cheng; Anliang Huang; Nanwei Tong; Ping Cheng
Journal:  J Mol Med (Berl)       Date:  2018-03-27       Impact factor: 4.599

6.  Kinetic Modeling to Accelerate the Development of Nucleic Acid Formulations.

Authors:  Esther H Roh; Thomas H Epps; Millicent O Sullivan
Journal:  ACS Nano       Date:  2021-10-12       Impact factor: 18.027

7.  Comparative cellular pharmacokinetics and pharmacodynamics of siRNA delivery by SPANosomes and by cationic liposomes.

Authors:  Chenguang Zhou; Yue Zhang; Bo Yu; Mitch A Phelps; L James Lee; Robert J Lee
Journal:  Nanomedicine       Date:  2012-10-29       Impact factor: 5.307

8.  Kinetic and dynamic computational model-based characterization of new proteins in mice: application to interferon alpha linked to apolipoprotein A-I.

Authors:  Zinnia Patricia Parra-Guillen; Jessica Fioravanti; Jose Medina-Echeverz; Celia Gomar; Nuria Ardaiz; Iñaki F Troconiz; Pedro Berraondo
Journal:  PLoS One       Date:  2012-07-27       Impact factor: 3.240

9.  Hepatic stellate cells specific liposomes with the Toll-like receptor 4 shRNA attenuates liver fibrosis.

Authors:  Yuwei Zhang; Yang Li; Tong Mu; Nanwei Tong; Ping Cheng
Journal:  J Cell Mol Med       Date:  2020-12-18       Impact factor: 5.295

  9 in total

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