Document detail
ID

oai:pubmedcentral.nih.gov:1013...

Topic
Research Articles
Author
Park, Elliya Li, Lily Yi He, Chunsheng Abbasi, Azhar Z. Ahmed, Taksim Foltz, Warren D. O'Flaherty, Regan Zain, Maham Bonin, Robert P. Rauth, Andrew M. Fraser, Paul E. Henderson, Jeffrey T. Wu, Xiao Yu
Langue
en
Editor

John Wiley and Sons Inc.

Category

Advanced Science

Year

2023

listing date

10/2/2023

Keywords
nanoparticles alzheimer treatment disease
Metrics

Abstract

Finding effective disease‐modifying treatment for Alzheimer's disease remains challenging due to an array of factors contributing to the loss of neural function.

The current study demonstrates a new strategy, using multitargeted bioactive nanoparticles to modify the brain microenvironment to achieve therapeutic benefits in a well‐characterized mouse model of Alzheimer's disease.

The application of brain‐penetrating manganese dioxide nanoparticles significantly reduces hypoxia, neuroinflammation, and oxidative stress; ultimately reducing levels of amyloid β plaques within the neocortex.

Analyses of molecular biomarkers and magnetic resonance imaging‐based functional studies indicate that these effects improve microvessel integrity, cerebral blood flow, and cerebral lymphatic clearance of amyloid β.

These changes collectively shift the brain microenvironment toward conditions more favorable to continued neural function as demonstrated by improved cognitive function following treatment.

Such multimodal disease‐modifying treatment may bridge critical gaps in the therapeutic treatment of neurodegenerative disease.

Park, Elliya,Li, Lily Yi,He, Chunsheng,Abbasi, Azhar Z.,Ahmed, Taksim,Foltz, Warren D.,O'Flaherty, Regan,Zain, Maham,Bonin, Robert P.,Rauth, Andrew M.,Fraser, Paul E.,Henderson, Jeffrey T.,Wu, Xiao Yu, 2023, Brain‐Penetrating and Disease Site‐Targeting Manganese Dioxide‐Polymer‐Lipid Hybrid Nanoparticles Remodel Microenvironment of Alzheimer's Disease by Regulating Multiple Pathological Pathways, John Wiley and Sons Inc.

Document

Open Open

Share

Source

Articles recommended by ES/IODE AI