ReviewDrug design, development and therapy2023
The Role of Traditional Chinese Medicine Natural Products in β-Amyloid Deposition and Tau Protein Hyperphosphorylation in Alzheimer's Disease.
Review in Drug design, development and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 27 citations in OpenAlex.
- Yixin Yangshen Granules Target HIF-1 Signaling to Modulate the Neuroimmune Microenvironment in Alzheimer's Disease: Insights from Integrative Multi-Omics and Deep Learning.Pharmaceuticals (Basel, Switzerland) · 2026Article
- RoastedAntioxidants (Basel, Switzerland) · 2025Article
- Natural traditional Chinese medicine products: emerging therapeutic targets for the treatment of osteoporosis.Journal of orthopaedic surgery and research · 2025Review
- Network pharmacology study on the mechanism of berberine in Alzheimer's disease model.NPJ science of food · 2025Article
- Therapeutic Potential of Traditional Oriental Medicines in Targeting Tau Pathology: Insights from Cell-free and Cell-based Screening.Current medicinal chemistry · 2025Article
- Unveiling the molecular mechanisms of Danggui-Shaoyao-San against Alzheimer's disease in APP/PS1 mice via integrating proteomic and metabolomic approaches.Alzheimer's research & therapy · 2024Article
- Chicoric Acid Ameliorated Beta-Amyloid Pathology and Enhanced Expression of Synaptic-Function-Related Markers via L1CAM in Alzheimer's Disease Models.International journal of molecular sciences · 2024Article
- Dihydropashanone Isolated fromInternational journal of molecular sciences · 2024Article
- Prevention and Treatment Strategies for Alzheimer's Disease: Focusing on Microglia and Astrocytes in Neuroinflammation.Journal of inflammation research · 2024Review
- Advances in the Understanding of the Correlation Between Neuroinflammation and Microglia in Alzheimer's Disease.ImmunoTargets and therapy · 2024Review
- Network Pharmacology and Molecular Docking Identify the Potential Mechanism and Therapeutic Role ofDrug design, development and therapy · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Alzheimer's disease is a prevalent form of dementia among elderly individuals and is characterized by irreversible neurodegeneration. Despite extensive research, the exact causes of this complex disease remain unclear. Currently available drugs for Alzheimer's disease treatment are limited in their effectiveness, often targeting a single aspect of the disease and causing significant adverse effects. Moreover, these medications are expensive, placing a heavy burden on patients' families and society as a whole. Natural compounds and extracts offer several advantages, including the ability to target multiple pathways and exhibit high efficiency with minimal toxicity. These attributes make them promising candidates for the prevention and treatment of Alzheimer's disease. In this paper, we provide a summary of the common natural products used in Chinese medicine for different pathogeneses of AD. Our aim is to offer new insights and ideas for the further development of natural products in Chinese medicine and the treatment of AD.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.