Aryloxypropanolamine mitigates Alzheimer‐like phenotype by directly removing amyloid aggregates

Abstract Background The accumulation of amyloidogenic proteins is recognized as a primary biomarker, initiator of pathology, and a potential therapeutic target for Alzheimer’s disease (AD). An unbiased screening of a small molecule library was conducted to identify new chemical compounds exhibiting amyloid‐dissociative properties. Method The ability of aryloxypropanolamine derivatives to dissociate amyloid‐β (Aβ) aggregates was evaluated through in vitro assays. Subsequent assessments involved immunostaining, immunoblotting, and Morris water maze to examine the anti‐Alzheimer properties of the molecules using 5XFAD and transgenic APP/PS1 mice. Characterization of the target‐ligand interaction was also carried out through peptide mapping assay and constrained docking simulations. Result Among 11 derivatives, YIAD002 demonstrated the most significant dissociative effect against β‐sheet‐rich Aβ aggregates. Oral administration of the compound led to a significant reduction in amyloid burden, improved cognitive performance in the Morris water maze, and mitigated key clinical symptoms of AD, including tauopathy, neuroinflammation, and synaptic protein loss. Mechanistic studies indicated that YIAD002 directly interacted with the KLVFFA and IGLMVG domains of Aβ. Conclusion Collectively, our results demonstrate the potential of chemical‐driven dissociation of amyloidogenic proteins as a promising disease‐modifying treatment for AD.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.088498
Primary Topic
Alzheimer's disease research and treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Aryloxypropanolamine mitigates Alzheimer‐like phenotype by directly removing amyloid aggregates

Illhwan Cho, Soljee Yoon, Kyeonghwan Kim, Hye Yun Kim et al.
Alzheimer s & Dementia
Alzheimer's disease research and treatments
article

Aryloxypropanolamine mitigates Alzheimer‐like phenotype by directly removing amyloid aggregates

Illhwan Cho, Soljee Yoon, Kyeonghwan Kim, Hye Yun Kim, Ikyon Kim, Jisu Shin, Jimin Kim, Youngsoo Kim, Donghee Lee, Hee Yang Lee
article en

Abstract

Abstract Background The accumulation of amyloidogenic proteins is recognized as a primary biomarker, initiator of pathology, and a potential therapeutic target for Alzheimer’s disease (AD). An unbiased screening of a small molecule library was conducted to identify new chemical compounds exhibiting amyloid‐dissociative properties. Method The ability of aryloxypropanolamine derivatives to dissociate amyloid‐β (Aβ) aggregates was evaluated through in vitro assays. Subsequent assessments involved immunostaining, immunoblotting, and Morris water maze to examine the anti‐Alzheimer properties of the molecules using 5XFAD and transgenic APP/PS1 mice. Characterization of the target‐ligand interaction was also carried out through peptide mapping assay and constrained docking simulations. Result Among 11 derivatives, YIAD002 demonstrated the most significant dissociative effect against β‐sheet‐rich Aβ aggregates. Oral administration of the compound led to a significant reduction in amyloid burden, improved cognitive performance in the Morris water maze, and mitigated key clinical symptoms of AD, including tauopathy, neuroinflammation, and synaptic protein loss. Mechanistic studies indicated that YIAD002 directly interacted with the KLVFFA and IGLMVG domains of Aβ. Conclusion Collectively, our results demonstrate the potential of chemical‐driven dissociation of amyloidogenic proteins as a promising disease‐modifying treatment for AD.

Alzheimer s & DementiaVol. 20(S6)
Incheon National University (KR), Yonsei University (KR)
Openalex Percentile: Top 65%
Alzheimer's disease research and treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.