Neuropharmacological links Between Diabetes and Alzheimer's Disease: Molecular crosstalk and Therapeutic Potential of Flavonoids

Objectives: To analyze the molecular and neuropharmacological links between Diabetes and Alzheimer’s Disease and to evaluate the therapeutic potential of flavonoids in diabetes-associated Alzheimer’s disease (DAAD). Material and Method: Using indexed biomedical literature, a narrative evaluation of experimental, preclinical, and clinical studies addressing insulin resistance, oxidative stress, neuroinflammation, amyloid pathology, and flavonoid-mediated neuroprotection in DM and AD was carried out. Result: DM and AD share comparable pathophysiological pathways including insulin resistance, mitochondrial dysfunction, oxidative stress, chronic inflammation, advanced glycation end products (AGEs), and decreased SIRT1/AMPK signalling. Brain insulin resistance relates to amyloid-β build up and tau hyperphosphorylation. In experimental models, flavonoids including quercetin, rutin, kaempferol, genistein, luteolin, naringenin, and hesperidin demonstrate insulin-sensitizing, anti-inflammatory, anti-amyloidogenic, and anticholinesterase properties. Conclusion: Flavonoids are prospective multi-target therapeutic agents for DAAD, as they modulate shared molecular pathways of DM and AD. Nevertheless, in order to verify the efficacy, safety, and optimal administration strategies, well-designed clinical trials are necessary.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-22
DOI
https://doi.org/10.5281/zenodo.19692069
Primary Topic
Natural Antidiabetic Agents Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Neuropharmacological links Between Diabetes and Alzheimer's Disease: Molecular crosstalk and Therapeutic Potential of Flavonoids

Kajal
Zenodo (CERN European Organization for Nuclear Research)
Natural Antidiabetic Agents Studies
article

Neuropharmacological links Between Diabetes and Alzheimer's Disease: Molecular crosstalk and Therapeutic Potential of Flavonoids

Kajal
article en

Abstract

Objectives: To analyze the molecular and neuropharmacological links between Diabetes and Alzheimer’s Disease and to evaluate the therapeutic potential of flavonoids in diabetes-associated Alzheimer’s disease (DAAD). Material and Method: Using indexed biomedical literature, a narrative evaluation of experimental, preclinical, and clinical studies addressing insulin resistance, oxidative stress, neuroinflammation, amyloid pathology, and flavonoid-mediated neuroprotection in DM and AD was carried out. Result: DM and AD share comparable pathophysiological pathways including insulin resistance, mitochondrial dysfunction, oxidative stress, chronic inflammation, advanced glycation end products (AGEs), and decreased SIRT1/AMPK signalling. Brain insulin resistance relates to amyloid-β build up and tau hyperphosphorylation. In experimental models, flavonoids including quercetin, rutin, kaempferol, genistein, luteolin, naringenin, and hesperidin demonstrate insulin-sensitizing, anti-inflammatory, anti-amyloidogenic, and anticholinesterase properties. Conclusion: Flavonoids are prospective multi-target therapeutic agents for DAAD, as they modulate shared molecular pathways of DM and AD. Nevertheless, in order to verify the efficacy, safety, and optimal administration strategies, well-designed clinical trials are necessary.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 7%
Natural Antidiabetic Agents Studies
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.