2018
DOI: 10.2147/ijn.s183117
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Liposome delivery systems for the treatment of Alzheimer’s disease

Abstract: Alzheimer’s disease (AD) will affect around 115 million people worldwide by the year 2050. It is associated with the accumulation of misfolded and aggregated proteins (β-amyloid and tau) in the senile plaques and neurofibrillary tangles found in the brain. Currently available drugs for AD only temporarily alleviate symptoms and do not slow the inevitable progression of this disease. New drugs are required that act on key pathologies in order to arrest or reverse cognitive decline. However, there has been a spe… Show more

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Cited by 136 publications
(84 citation statements)
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“…As shown in Scheme , unique nanomaterials have been reported and several nanosized drug delivery systems including liposomes, dendrimers, carbon nanotubes (CNTs), inorganic and hybrid nanoparticles, and polymeric micelles have gained attention and have been tested for targeted drug delivery not only for neurodegenerative diseases but also for several other ailments . The discovery of MCM‐41 was recognized as a major breakthrough in materials science and since then mesoporous silica nanoparticles (MSNs), thanks to their superior physiochemical properties such as large porosity, high surface areas, low toxicity, controllable sizes, and wide range of morphologies compared to conventional nanoparticles (NPs) have emerged as favorable tools in biomedical applications as nanocarriers for encapsulation and delivery of therapeutic medicines .…”
Section: Introductionmentioning
confidence: 99%
“…As shown in Scheme , unique nanomaterials have been reported and several nanosized drug delivery systems including liposomes, dendrimers, carbon nanotubes (CNTs), inorganic and hybrid nanoparticles, and polymeric micelles have gained attention and have been tested for targeted drug delivery not only for neurodegenerative diseases but also for several other ailments . The discovery of MCM‐41 was recognized as a major breakthrough in materials science and since then mesoporous silica nanoparticles (MSNs), thanks to their superior physiochemical properties such as large porosity, high surface areas, low toxicity, controllable sizes, and wide range of morphologies compared to conventional nanoparticles (NPs) have emerged as favorable tools in biomedical applications as nanocarriers for encapsulation and delivery of therapeutic medicines .…”
Section: Introductionmentioning
confidence: 99%
“…There is evidence for a inverse correlation between BBB penetration and the size of the liposome (Etame et al, 2011;Hanada et al, 2014;Sonavane et al, 2008). The preferred size for brain delivery is 100nm or smaller, but studies have shown that liposomes from 100 to 140 nm have certain advantages, such as a longer half-life in blood circulation and avoidance of plasma proteins (Ross et al, 2018). Moreover, because the BBB is negatively charged, cationic liposomes can trigger cell internalization through electrostatic interactions (Harilal et al, 2020).…”
Section: Particle Size Zeta Potential and Pdi Characterization Of Thmentioning
confidence: 99%
“…45,46 Liposome offers site-specific delivery, protects the drug from enzymatic degradation, reduce the adverse effect and represents a biodegradable and biocompatible delivery system which increases both the research and commercial interest for novel drug delivery. [47][48][49] On the other hand, the low encapsulation efficiency and poor stability limit its applicability to some extent. 50 Various investigations, both in the laboratory and commercial scale are under process, utilizes liposome as a potential carrier system for direct nose-to-brain delivery of the drug.…”
Section: Liposomementioning
confidence: 99%
“…to assist the drug targeting to the brain. 51 For example; H102 peptide-loaded liposome was developed by Zheng and co-workers 2015 for intranasal delivery to the brain. The brain targeting efficacy of liposome was assessed by estimating the in vivo pharmacokinetic behavior of the drug carrier system.…”
Section: Liposomementioning
confidence: 99%