am6b06853_si_liveslides.zip (7.55 MB)
Efficient Inhibition of Protein Aggregation, Disintegration of Aggregates, and Lowering of Cytotoxicity by Green Tea Polyphenol-Based Self-Assembled Polymer Nanoparticles
media
posted on 2016-08-25, 14:06 authored by Koushik Debnath, Shashi Shekhar, Vipendra Kumar, Nihar R. Jana, Nikhil R. JanaGreen tea polyphenol epigallocatechin-3-gallate
(EGCG) is known
for its antiamyloidogenic property, and it is observed that molecular
EGCG binds with amyloid structure, redirects fibrillation kinetics,
remodels mature fibril, and lowers the amyloid-derived toxicity. However,
this unique property of EGCG is difficult to utilize because of their
poor chemical stability and substandard bioavailability. Here we report
a nanoparticle form of EGCG of 25 nm size (nano-EGCG) which is 10–100
times more efficient than molecular EGCG in inhibiting protein aggregation,
disintegrating mature protein aggregates, and lowering amyloidogenic
cytotoxicity. The most attractive advantage of nano-EGCG is that it
efficiently protects neuronal cells from the toxic effect of extracellular
amyloid beta or intracellular mutant huntingtin protein aggregates
by preventing their aggregation. We found that the better performance
of nano-EGCG is due to the combined effect of increased chemical stability
of EGCG against degradation, stronger binding with protein aggregates,
and efficient entry into the cell for interaction with aggregated
protein structure. This result indicates that the nanoparticle form
of antiamyloidogenic molecules can be more powerful in prevention
and curing of protein aggregation derived diseases.
History
Usage metrics
Categories
Keywords
25 nm sizeredirects fibrillation kineticsaggregated protein structureextracellular amyloid betaprotein aggregationnano-EGCGprotein aggregateshuntingtin protein aggregateschemical stabilityGreen Tea Polyphenol-Based Self-Assembled Polymer Nanoparticles Green tea polyphenol epigallocatechin -3-gallateEGCGnanoparticle form
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC