Literature DB >> 30961872

Nanomedicine in Alzheimer's disease: Amyloid beta targeting strategy.

Giovanni Tosi1, Francesca Pederzoli2, Daniela Belletti1, Maria Angela Vandelli3, Flavio Forni1, Jason Thomas Duskey1, Barbara Ruozi4.   

Abstract

The treatment of Alzheimer's disease (AD) is up to today one of the most unsuccessful examples of biomedical science. Despite the high number of literature evidences detailing the multifactorial and complex etiopathology of AD, no cure is yet present on the market and the available treatments are only symptomatic. The reasons could be ascribed on two main factors: (i) lack of ability of the majority of drugs to cross the blood-brain barrier (BBB), thus excluding the brain for any successful therapy; (ii) lack of selectivity and specificity of drugs, decreasing the efficacy of even potent anti-AD drugs. The exploitation of specifically engineered nanomedicines planned to cross the BBB and to target the most "hot" site of action (i.e., β-amyloid) is one of the most interesting innovations in drug delivery and could reasonably represent an promising choice for possible treatments and even early-diagnosis of AD. In this chapter, we therefore outline the most talented approaches in AD treatment with a specific focus on the main advantages/drawbacks and future possible translation to clinic application.
© 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; Aβ; Blood-brain barrier; Dual targeting; Liposomes; Nanomedicine; Polymeric nanoparticles; Sink effect

Mesh:

Substances:

Year:  2019        PMID: 30961872     DOI: 10.1016/bs.pbr.2019.03.001

Source DB:  PubMed          Journal:  Prog Brain Res        ISSN: 0079-6123            Impact factor:   2.453


  6 in total

1.  Synthesis, Characterization, and In Vitro Studies of an Reactive Oxygen Species (ROS)-Responsive Methoxy Polyethylene Glycol-Thioketal-Melphalan Prodrug for Glioblastoma Treatment.

Authors:  Natalia Oddone; Frank Boury; Emmanuel Garcion; Andreas M Grabrucker; M Carmen Martinez; Federica Da Ros; Anna Janaszewska; Flavio Forni; Maria Angela Vandelli; Giovanni Tosi; Barbara Ruozi; Jason T Duskey
Journal:  Front Pharmacol       Date:  2020-05-04       Impact factor: 5.810

2.  The Clustering of mApoE Anti-Amyloidogenic Peptide on Nanoparticle Surface Does Not Alter Its Performance in Controlling Beta-Amyloid Aggregation.

Authors:  Roberta Corti; Alysia Cox; Valeria Cassina; Luca Nardo; Domenico Salerno; Claudia Adriana Marrano; Natalia Missana; Patrizia Andreozzi; Paulo Jacob Silva; Francesco Stellacci; Roberta Dal Magro; Francesca Re; Francesco Mantegazza
Journal:  Int J Mol Sci       Date:  2020-02-05       Impact factor: 5.923

Review 3.  Natural Compounds as Inhibitors of Aβ Peptide Aggregation: Chemical Requirements and Molecular Mechanisms.

Authors:  Katiuscia Pagano; Simona Tomaselli; Henriette Molinari; Laura Ragona
Journal:  Front Neurosci       Date:  2020-12-22       Impact factor: 4.677

4.  Unconjugated PLGA nanoparticles attenuate temperature-dependent β-amyloid aggregation and protect neurons against toxicity: implications for Alzheimer's disease pathology.

Authors:  Pallabi Sil Paul; Jae-Young Cho; Qi Wu; Govindarajan Karthivashan; Emily Grabovac; Holger Wille; Marianna Kulka; Satyabrata Kar
Journal:  J Nanobiotechnology       Date:  2022-02-04       Impact factor: 10.435

5.  Investigating Novel Syntheses of a Series of Unique Hybrid PLGA-Chitosan Polymers for Potential Therapeutic Delivery Applications.

Authors:  Jason Thomas Duskey; Cecilia Baraldi; Maria Cristina Gamberini; Ilaria Ottonelli; Federica Da Ros; Giovanni Tosi; Flavio Forni; Maria Angela Vandelli; Barbara Ruozi
Journal:  Polymers (Basel)       Date:  2020-04-04       Impact factor: 4.329

6.  β-Amyloid Targeting with Two-Dimensional Covalent Organic Frameworks: Multi-Scale In-Silico Dissection of Nano-Biointerface.

Authors:  Reza Maleki; Mohammad Khedri; Sima Rezvantalab; Fatemeh Afsharchi; Kiyan Musaie; Sepehr Shafiee; Mohammad-Ali Shahbazi
Journal:  Chembiochem       Date:  2021-05-11       Impact factor: 3.164

  6 in total

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