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      Pramipexole dihydrochloride loaded chitosan nanoparticles for nose to brain delivery: Development, characterization and in vivo anti-Parkinson activity

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      International Journal of Biological Macromolecules
      Elsevier BV

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          Abstract

          In the current study, Pramipexole dihydrochloride loaded chitosan nanoparticles (P-CNs) were prepared for Parkinson's disease via nose to brain pathway by ionic gelation method. Optimized P-CNs with chitosan and sodium tripolyphosphate (6:1 v/v) exhibited particle size and entrapment efficiency of 292.5 nm ± 8.80 and 91.25% ± 0.95 respectively and its diffusion across the artificial membrane and goat nasal mucosa was found to be 93.32% ± 2.56 and 83.03% ± 3.48 correspondingly after 24 h. Transmission electron microscopy displayed the spherical nature of the P-CNs particles and rough surface morphology was observed in scanning electron microphotographs. In pharmacodynamic studies, the comparative results of behavioral testing revealed improved score of photoactometer and reduced motor deficit in the form of catalepsy in P-CN treatment group as compare to its nasal solution or oral marketed tablets. Similarly, P-CNs enhanced antioxidant status in the form of increased superoxide dismutase and catalase activities, along with increased dopamine level in the brain significantly. Therefore, it can be concluded that intranasal delivery of Pramipexole loaded chitosan nanoparticles exhibited essential in vitro characteristics and superior in vivo activity than other formulations for brain targeted delivery in Parkinson disease.

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          Author and article information

          Journal
          International Journal of Biological Macromolecules
          International Journal of Biological Macromolecules
          Elsevier BV
          01418130
          April 2018
          April 2018
          : 109
          : 27-35
          Article
          10.1016/j.ijbiomac.2017.12.056
          29247729
          1cd6b6a6-9b4b-4ac9-abbb-2f19c0cd5d7a
          © 2018

          https://www.elsevier.com/tdm/userlicense/1.0/

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