ArticleAnnals of translational medicine2022
Identifying the mechanisms and molecular targets of Hongjingtian injection on treatment of TGFβ1-induced HK-2 cells: coupling network pharmacology with experimental verification.
Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
- Salidroside and Hongjingtian Injection Inhibit the Onset and Progression of Asthma via Pyroptosis in the Ozone-Exposed Inflammation Environment.Mediators of inflammation · 2026Article
- The Mitochondrial Metabolism Gene ECH1 Was Identified as a Novel Biomarker for Diabetic Nephropathy: Using Bioinformatics Analysis and Experimental Confirmation.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The study was designed to investigate the mechanism of Hongjingtian injection (HJT) in treating tubulointerstitial fibrosis (TIF) in chronic kidney diseases (CKD) based on network pharmacology and experimental verification. Methods: First, active ingredients of HJT obtained from literature were screened using the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database and putative targets of active ingredients were predicted using the Chemmapper, SEA and Swiss Target Prediction database. Subsequently, the "compound-target" network for HJT was established. In addition, TIF disease targets were obtained from the GEO gene chips (accession number GSE20247). The intersecting targets of HJT and TIF obtained through Venny 2.1.0. The key targets and signaling pathways were determined by protein-protein interaction (PPI) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. Finally, quantitative polymerase chain reaction (qPCR) and Western blot (WB) were used to validate the predicted five key genes targets ( Results: The network pharmacology analysis results showed that there are 36 active compounds and 1,044 putative target genes in HJT. HJT may exert its inhibitory effects against TIF by acting on 79 key targets. Besides, KEGG analysis indicated that the anti-TIF effect of HJT was mediated by multiple pathways, such as the metabolic pathway, pathways in cancer and gap junction. Among them, Conclusions: This study comprehensively illuminated the active compounds, potential targets, and molecular mechanism of HJT against TIF. HJT treatment of TIF may reverse EMT caused by TGF-β1 by targeting
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