Identification of Flavonoid Compounds in Treating Alzheimer’s Disease Based on Network Medicine Framework Strategy

Alzheimer's disease (AD) currently lacks effective therapeutics, but blood-brain-barrier-penetrating flavonoids show promising therapeutic potential. To address this critical need, we employed a novel network medicine framework to systematically identify flavonoid compounds for AD therapy by quantifying their network proximity to AD targets. Our systematic screening identified 48 potential anti-AD flavonoids, of which luteolin, quercetin, apigenin (API), and baicalein demonstrated significant neuroprotective effects in A[Formula: see text]25-35-induced rat pheochromocytoma (PC12) cell models. Of these, API emerged as the most promising candidate. A network pharmacological analysis revealed that API likely exerts its anti-AD effects through modulating apoptosis and inflammatory response, and AKT1 and NFKBIA were identified as key therapeutic targets. Experimental validation demonstrated that API treatment impeded the H<sub>2</sub>O<sub>2</sub>-induced decline in the mitochondrial membrane potential of PC12 cells, suppressed apoptosis, and mitigated neuronal damage. Furthermore, API downregulated the AKT/NF-[Formula: see text]B signal pathway, promoted microglial M2 polarization, and attenuated LPS-induced neuroinflammation in BV2 cells. API also alleviated the toxic effects of M1 microglia on neurons. This network-based screening strategy provides an innovative approach for developing new AD therapeutics.

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Publication Details

Journal
The American Journal of Chinese Medicine
Published
2025-01-01
DOI
https://doi.org/10.1142/s0192415x25500806
Primary Topic
Alzheimer's disease research and treatments
Type
article
Field-Weighted Citation Impact
0.00

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article

Identification of Flavonoid Compounds in Treating Alzheimer’s Disease Based on Network Medicine Framework Strategy

Li-Min Zhang, Min-Rui Ding, Rong-Rong Zhen, Jin-Fang Chen et al.
The American Journal of Chinese Medicine
Alzheimer's disease research and treatments
article

Identification of Flavonoid Compounds in Treating Alzheimer’s Disease Based on Network Medicine Framework Strategy

Li-Min Zhang, Min-Rui Ding, Rong-Rong Zhen, Jin-Fang Chen, Chenbo Xia, Mengxue Zhang, Yan-Jie Qu, Bing Hu, Hengtong An, Tong Zhang
article en

Abstract

Alzheimer's disease (AD) currently lacks effective therapeutics, but blood-brain-barrier-penetrating flavonoids show promising therapeutic potential. To address this critical need, we employed a novel network medicine framework to systematically identify flavonoid compounds for AD therapy by quantifying their network proximity to AD targets. Our systematic screening identified 48 potential anti-AD flavonoids, of which luteolin, quercetin, apigenin (API), and baicalein demonstrated significant neuroprotective effects in A[Formula: see text]25-35-induced rat pheochromocytoma (PC12) cell models. Of these, API emerged as the most promising candidate. A network pharmacological analysis revealed that API likely exerts its anti-AD effects through modulating apoptosis and inflammatory response, and AKT1 and NFKBIA were identified as key therapeutic targets. Experimental validation demonstrated that API treatment impeded the H<sub>2</sub>O<sub>2</sub>-induced decline in the mitochondrial membrane potential of PC12 cells, suppressed apoptosis, and mitigated neuronal damage. Furthermore, API downregulated the AKT/NF-[Formula: see text]B signal pathway, promoted microglial M2 polarization, and attenuated LPS-induced neuroinflammation in BV2 cells. API also alleviated the toxic effects of M1 microglia on neurons. This network-based screening strategy provides an innovative approach for developing new AD therapeutics.

The American Journal of Chinese MedicineVol. 53(07)
Ruijin Hospital (CN), Shanghai University of Traditional Chinese Medicine (CN), Longhua Hospital Shanghai University of Traditional Chinese Medicine (CN), Ningxia Medical University (CN), Ningxia Medical University General Hospital (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 71%
Alzheimer's disease research and treatments
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