ArticleHeliyon2024
Research on the mechanism of Ursolic acid for treating Parkinson's disease by network pharmacology and experimental verification.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Review
- Network pharmacology approach to unravel the neuroprotective potential of natural products: a narrative review.Molecular diversity · 2026Review
- Rosemary (Iranian journal of basic medical sciences · 2026Review
- Article
- Integrative Network Pharmacology, Molecular Docking, and Dynamics Simulation Guided Discovery of Anethole, Carvacrol, Carnosol, Nicotine, and Paeonol as Potential Therapeutics for Parkinson's Disease.Cell biochemistry and biophysics · 2025Article
- Experimental and computational insights into the therapeutic mechanisms of resveratrol in a Drosophila α-synuclein model of Parkinson's disease.Scientific reports · 2025Article
- Xijiao Dihuang Decoction for Sepsis-Induced Acute Lung Injury: Network Pharmacology and Molecular Dynamics Insights.Journal of inflammation research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The objective of this study was to investigate the potential targets and mechanisms of UA in the treatment of PD. The efficacy of UA in PD was assessed through network pharmacology, molecular docking, and experimental methods. Common target protein-protein interaction (PPI) networks were constructed and visualized using Cytoscape. As a result, 9 key genes, namely CASP3, IL6, IL1B, PTGS2, CREB1, TNF, MAPK3, JUN, and CASP8, were selected. Molecular docking simulations were performed using Discovery Studio 2019 to validate the correlation between UA and the core targets. The results demonstrated a favorable binding affinity between UA and CASP8, IL1B, CASP3, TNF, MAPK3 and IL6. In vivo studies showed UA ameliorated motor dysfunction, and UA can significantly increase the protein expression of tyrosine hydroxylase (TH) in PD mice model. In addition, in vitro experiments confirmed that UA effectively reduced the protein expression of CASP8, CASP3 and MAPK3 in PD cell models and suppressed the gene expression of TNF-α, IL-6, and IL-1β. These findings indicate that the therapeutic effects of UA on PD could be due to its influence on various targets within both the apoptosis and neuroinflammatory signaling pathways. Consequently, this study provides a methodological and theoretical foundation for further elucidating the pharmacological mechanism of UA.
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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.