ArticleNaunyn-Schmiedeberg's archives of pharmacology2023
Integrating network pharmacology and experimental validation to decipher the mechanism of action of Jingfang Granule in the treatment of viral myocarditis.
Article in Naunyn-Schmiedeberg's archives of pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 4 citations in OpenAlex.
- Therapeutic Targeting of Viral Myocarditis with Natural Products and Herbal Medicines: From Immune-Inflammatory Mechanisms to Clinical Translation.Journal of inflammation research · 2026Review
- Flavones in pomelo peel resist fibril formation of human islet amyloid polypeptide.Chinese herbal medicines · 2025Article
- Screening Antioxidant Components in Yiwei Decoction Using Spectrum-Effect Relationship and Network Pharmacology.Journal of analytical methods in chemistry · 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
7 authors at 1 institution in 1 country.
Funding
Abstract
This study investigated the mechanisms of Jingfang Granule (JFG) in viral myocarditis (VMC) treatment via network pharmacology-based approach combined with molecular docking and validated the results through in vitro and in vivo experiments. The chemical composition of JFG and its therapeutic targets was queried in Traditional Chinese Medicine Systems Pharmacology (TCMSP) database. The targets related to VMC were retrieved from the disease database, and the overlapping targets were screened. Based on the STRING database, a protein-protein interaction network was constructed. Cytoscape software was used to construct the "component-target-disease" interaction network for visualization. GO and KEGG pathway enrichment analyses were performed using Metascape data. Molecular docking was performed using PyMoL2.3.0 and AutoDock Vina software programs. The target genes were further verified in vitro and in vivo. JFG contains 88 active components. The main biological targets of JFG in VMC include quercetin, luteolin, and kaempferol. The molecular docking results showed that the three key targets showed strong binding properties with both the height components of the molecular docking interaction energies. The results of experimental verification results showed that JFG may be used to treat VMC mainly by down-regulating inflammatory factors TNF-α and NF-κB and inhibiting myocardial apoptosis. The results support the network pharmacological data. JFG reduces myocardial inflammation and myocardial cell apoptosis in VMC and protects myocardial tissue.
Indexed as
Identifiers
What OpenQuestion holds
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.