ArticleBioMed research international2020
Assessing the Anti-inflammatory Mechanism of Reduning Injection by Network Pharmacology.
Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
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
8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.
- Comparative effectiveness of ten CPMs for acute exacerbation of chronic obstructive pulmonary disease: systematic review and network meta-analysis.Frontiers in medicine · 2025Pooled it
- A Five-Dimensional Network Meta-Analysis of Chinese Herbal Injections for Treating Acute Tonsillitis Combined With Western Medicine.Frontiers in pharmacology · 2022Pooled it
- Assessment of the role of inflammation-linked signaling pathways in ventilator-induced diaphragmatic dysfunction in rats by transcriptome RNA-seq.BMC molecular and cell biology · 2026Article
- Efficacy and safety of reduning injection for severe pneumonia: a systematic review and meta-analysis.Frontiers in pharmacology · 2025Review
- Chinese herbal injections plus Western Medicine on inflammatory factors for patients with acute exacerbation of chronic obstructive pulmonary disease: a systematic review and network meta-analysis.Journal of thoracic disease · 2023Article
- The potential mechanism of Bupleurum against anxiety was predicted by network pharmacology study and molecular docking.Metabolic brain disease · 2022Article
- Clinical Observation of Reduning Combined with Recombinant Human InterferonEvidence-based complementary and alternative medicine : eCAM · 2022Article
- Chinese Medical Injections for Acute Exacerbation of Chronic Obstructive Pulmonary Disease: A Network Meta-analysis.International journal of chronic obstructive pulmonary diseaseReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Reduning Injection (RDNI) is a traditional Chinese medicine formula indicated for the treatment of inflammatory diseases. However, the molecular mechanism of RDNI is unclear. The information of RDNI ingredients was collected from previous studies. Targets of them were obtained by data mining and molecular docking. The information of targets and related pathways was collected in UniProt and KEGG. Networks were constructed and analyzed by Cytoscape to identify key compounds, targets, and pathways. Data mining and molecular docking identified 11 compounds, 84 targets, and 201 pathways that are related to the anti-inflammatory activity of RDNI. Network analysis identified two key compounds (caffeic acid and ferulic acid), five key targets (Bcl-2, eNOS, PTGS2, PPARA, and MMPs), and four key pathways (estrogen signaling pathway, PI3K-AKT signaling pathway, cGMP-PKG signaling pathway, and calcium signaling pathway) which would play critical roles in the treatment of inflammatory diseases by RDNI. The cross-talks among pathways provided a deeper understanding of anti-inflammatory effect of RDNI. RDNI is capable of regulating multiple biological processes and treating inflammation at a systems level. Network pharmacology is a practical approach to explore the therapeutic mechanism of TCM for complex disease.
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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.