Phenolic compounds as anti-Alzheimer’s disease agents

Alzheimer’s disease, the main cause of dementia worldwide, is a slowly progressive neurodegenerative disorder. This disease involves a diversity of etiophatogenic processes as it is not only a genetic but also a biological and environmental disease. Owing to that complexity, nowadays there is no efficacious treatment for this disorder. The major Alzheimer’s disease clinical indications include extracellular senile plaques of amyloid-β protein, intracellular hyperphosphorylated τ neurofibrillary tangles, uncommon neuroinflammatory response, oxidative stress, and synaptic and neuronal dysfunction. The evaluation of the neuroprotective potential of new compounds is imperative. As natural products, like phenolic compounds, exhibit several bioactivities, it is urgent to test them and evaluate their inhibition of each clinical indication of Alzheimer’s disease. If phenolic compounds target more than one Alzheimer’s disease pathogenic mechanism (multi-target drug ligands), they will have the potential of becoming a leading Alzheimer’s disease treatment. Thus, this review analyzes, for each Alzheimer’s disease clinical indication, the scaffolds of several phenolic compounds leading to the highest activity with the objective to find phenolic compounds active against all the clinical indications. It was concluded that compounds presenting scaffolds like rugosin E or isocorilagin show potential in combating Alzheimer’s disease.

Authors

Institutions

Publication Details

Journal
Exploration of neuroscience
Published
2025-06-06
DOI
https://doi.org/10.37349/en.2025.100693
Citations
3
Primary Topic
Cholinesterase and Neurodegenerative Diseases
Type
article
Field-Weighted Citation Impact
4.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Phenolic compounds as anti-Alzheimer’s disease agents

Jorge Medeiros
3 citations
Exploration of neuroscience
Cholinesterase and Neurodegenerative Diseases
4.18
article

Phenolic compounds as anti-Alzheimer’s disease agents

Jorge Medeiros
article en
3 citations

Abstract

Alzheimer’s disease, the main cause of dementia worldwide, is a slowly progressive neurodegenerative disorder. This disease involves a diversity of etiophatogenic processes as it is not only a genetic but also a biological and environmental disease. Owing to that complexity, nowadays there is no efficacious treatment for this disorder. The major Alzheimer’s disease clinical indications include extracellular senile plaques of amyloid-β protein, intracellular hyperphosphorylated τ neurofibrillary tangles, uncommon neuroinflammatory response, oxidative stress, and synaptic and neuronal dysfunction. The evaluation of the neuroprotective potential of new compounds is imperative. As natural products, like phenolic compounds, exhibit several bioactivities, it is urgent to test them and evaluate their inhibition of each clinical indication of Alzheimer’s disease. If phenolic compounds target more than one Alzheimer’s disease pathogenic mechanism (multi-target drug ligands), they will have the potential of becoming a leading Alzheimer’s disease treatment. Thus, this review analyzes, for each Alzheimer’s disease clinical indication, the scaffolds of several phenolic compounds leading to the highest activity with the objective to find phenolic compounds active against all the clinical indications. It was concluded that compounds presenting scaffolds like rugosin E or isocorilagin show potential in combating Alzheimer’s disease.

Exploration of neuroscienceVol. 4
Universidade dos Açores (PT)
Openalex Percentile: Top 6%
Cholinesterase and Neurodegenerative Diseases
4.18
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.