ReviewTzu chi medical journal
Network pharmacology implicates traditional Chinese medicine in regulating systemic homeostasis to benefit Alzheimer's disease.
Review in Tzu chi medical journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
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Who cites it
5 citing papers in PubMed.
- Deciphering the Multi-Target Therapeutic Mechanisms of Traditional Chinese Medicine Against Alzheimer's Disease: A Network Pharmacology Perspective.Drug design, development and therapy · 2026Review
- Metabolomic Discoveries for Traditional Chinese Medicine Efficacy in Alzheimer's Disease.BioMed research international · 2026Review
- Integrative Network Pharmacology Prediction of the Mechanisms of Tri-Ka-Tuk: A Traditional Thai Herbal FormulaEndocrine, metabolic & immune disorders drug targets · 2026Review
- Identification of cytotoxic constituents from Siegesbeckiae Herba and network pharmacology prediction of their anti-pancreatic cancer mechanisms.Scientific reports · 2025Article
- AI driven network pharmacology: Multi-scale mechanisms of traditional Chinese medicine from molecular to patient analysis.Computational and structural biotechnology journal · 2025Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditional Chinese medicine (TCM) has the characteristics of multi-component, multi-target, and biological systems coordination, which meet the criteria of the network pharmacological application. Therefore, using network pharmacology to discover the relationship between TCM, diseases, and cellular responses is easily achievable. Aging-induced imbalanced homeostasis is a risk factor for Alzheimer's disease (AD), a neuronal disease regulated by multiple genes. Meta-analysis of TCM in metabolic regulation to improve symptoms of AD helps understand the pharmacological effects. The drug targets of TCM can be investigated using a holistic network pharmacology approach to find potential modulators involved in AD-related metabolic pathways. Based on the theoretical prediction of TCM for AD, experimental validation is needed to develop pure compounds for specific treatments.
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Registered trials
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