Literature DB >> 35031319

Chitosan nanoparticles, as biological macromolecule-based drug delivery systems to improve the healing potential of artificial neural guidance channels: A review.

Shuang Cao1, Yang Deng2, Le Zhang3, Mehdi Aleahmad4.   

Abstract

The healing potential of artificial neural guidance channels (NGCs) can be improved by various approaches such as seeding them with supporting cells, the incorporation of various cues, and modification with different fabrication methods. Recently, the therapeutic appeal towards the use of drug-delivering NGCs has increased. In this framework, neuroprotective agents are incorporated into the structure of NGCs using different techniques. Among available methods, nanoparticle-based drug carriers offer numerous advantages over other formulations such as controlled drug release, targeted delivery, high encapsulation efficacy, and high surface to volume ratio. Chitosan nanoparticles have different interesting features for drug delivery applications. These nanocarriers are biocompatible, biodegradable, non-immunogenic, stable, and possess tunable properties. In the current review, applications, challenges, and future perspectives of drug-loaded chitosan nanoparticles to augment the healing potential of NGCs will be discussed.
Copyright © 2022 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Artificial neural guidance channels; Chitosan nanoparticles; Peripheral nervous system injury

Mesh:

Substances:

Year:  2022        PMID: 35031319     DOI: 10.1016/j.ijbiomac.2022.01.017

Source DB:  PubMed          Journal:  Int J Biol Macromol        ISSN: 0141-8130            Impact factor:   6.953


  2 in total

1.  Dually Responsive Nanoparticles for Drug Delivery Based on Quaternized Chitosan.

Authors:  Fenghui Qiao; Zhiqi Jiang; Wen Fang; Jingzhi Sun; Qiaoling Hu
Journal:  Int J Mol Sci       Date:  2022-07-01       Impact factor: 6.208

2.  Preparation and Properties of Partial-Degradable ZrO2-Chitosan Particles-GelMA Composite Scaffolds.

Authors:  Yang Ji; Mengdie Hou; Jin Zhang; Meiqi Jin; Tianlin Wang; Huazhe Yang; Xiaodong Zhang
Journal:  Polymers (Basel)       Date:  2022-10-09       Impact factor: 4.967

  2 in total

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