Literature DB >> 34012478

Kinetics of HTT lowering in brain of YAC 128 mice following single and repetitive intranasal dosing of siRNA packaged in chitosan-based nanoparticle.

V Sava1, O Fihurka1, A Khvorova2, J Sanchez-Ramos1.   

Abstract

This report describes the kinetics of Huntington's Disease (HD) gene (HTT) lowering in brains of YAC 128 mice. Lowering (or "knock-down") of HTT mRNA expression was achieved by intranasal administration of specially designed siRNA loaded into chitosan nanoparticles. Kinetic patterns of HTT lowering observed in different brain regions allowed calculation of cumulative lowering effects that result from multiple consecutive administrations. Mathematical modeling generated dosing schedules for approaching a steady knock-down effect and for prediction of magnitude and duration of HTT lowering. Kinetic modeling of HTT lowering with our algorithm will be useful in determining intranasal dosing schedules to produce chronic, therapeutically significant lowering effect of gene expression.

Entities:  

Keywords:  Lowering brain HTT; intranasal administration; kinetics of gene lowering; repetitive dosing; siRNA loaded nanoparticles

Year:  2021        PMID: 34012478      PMCID: PMC8128136          DOI: 10.1016/j.jddst.2021.102517

Source DB:  PubMed          Journal:  J Drug Deliv Sci Technol        ISSN: 1773-2247            Impact factor:   5.062


  18 in total

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Review 7.  Mouse models of Huntington's disease and methodological considerations for therapeutic trials.

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8.  Enriched chitosan nanoparticles loaded with siRNA are effective in lowering Huntington's disease gene expression following intranasal administration.

Authors:  Vasyl Sava; Oksana Fihurka; Anastasia Khvorova; Juan Sanchez-Ramos
Journal:  Nanomedicine       Date:  2019-10-27       Impact factor: 5.307

9.  Insights into the kinetics of siRNA-mediated gene silencing from live-cell and live-animal bioluminescent imaging.

Authors:  Derek W Bartlett; Mark E Davis
Journal:  Nucleic Acids Res       Date:  2006-01-12       Impact factor: 16.971

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