ReviewPharmaceutical research2010
Gene therapy: a pharmacokinetic/pharmacodynamic modelling overview.
Review in Pharmaceutical research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Prospective approaches to gene therapy computational modeling - spotlight on viral gene therapy.Journal of pharmacokinetics and pharmacodynamics · 2024Review
- Article
- Hepatic stellate cells specific liposomes with the Toll-like receptor 4 shRNA attenuates liver fibrosis.Journal of cellular and molecular medicine · 2021Article
- Disease pharmacokinetic-pharmacodynamic modelling in acute intermittent porphyria to support the development of mRNA-based therapies.British journal of pharmacology · 2020Article
- Vitamin A-coupled liposomes carrying TLR4-silencing shRNA induce apoptosis of pancreatic stellate cells and resolution of pancreatic fibrosis.Journal of molecular medicine (Berlin, Germany) · 2018Article
- Efficient tuning of siRNA dose response by combining mixed polymer nanocarriers with simple kinetic modeling.Acta biomaterialia · 2017Article
- Heart failure gene therapy: the path to clinical practice.Circulation research · 2013Review
- Comparative cellular pharmacokinetics and pharmacodynamics of siRNA delivery by SPANosomes and by cationic liposomes.Nanomedicine : nanotechnology, biology, and medicine · 2013Article
- Article
- Quantitative aspects of intracellularly-targeted drug delivery.Pharmaceutical research · 2010Article
- Gene therapy from the perspective of systems biology.Current opinion in molecular therapeutics · 2010Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
20387096What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.