Mechanism of Fangji Fulingtang for Treating Acute Kidney Injury Induced by Ischemia-reperfusion Based on Network Pharmacology and Molecular Docking Verification
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Mechanism of Fangji Fulingtang for Treating Acute Kidney Injury Induced by Ischemia-reperfusion Based on Network Pharmacology and Molecular Docking Verification
Chinese Journal of Experimental Traditional Medical FormulaeVol. 28, Issue 8, Pages: 175-182(2022)
HUANG Jun-xin,WANG Bi-xia,ZOU Han-bin,et al.Mechanism of Fangji Fulingtang for Treating Acute Kidney Injury Induced by Ischemia-reperfusion Based on Network Pharmacology and Molecular Docking Verification[J].Chinese Journal of Experimental Traditional Medical Formulae,2022,28(08):175-182.
HUANG Jun-xin,WANG Bi-xia,ZOU Han-bin,et al.Mechanism of Fangji Fulingtang for Treating Acute Kidney Injury Induced by Ischemia-reperfusion Based on Network Pharmacology and Molecular Docking Verification[J].Chinese Journal of Experimental Traditional Medical Formulae,2022,28(08):175-182. DOI: 10.13422/j.cnki.syfjx.20220515.
Mechanism of Fangji Fulingtang for Treating Acute Kidney Injury Induced by Ischemia-reperfusion Based on Network Pharmacology and Molecular Docking Verification
To explore the mechanism of Fangji Fulingtang in the treatment of acute kidney injury (AKI) induced by ischemia-reperfusion based on network pharmacology and experimental verification.
Method
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Active components of Fangji Fulingtang were retrieved from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and previous report and targets of these components were predicted by SwissTargetPrediction. The targets of AKI were searched from GeneCards, Online Mendelian Inheritance in Man (OMIM), the database of gene-disease associations (DisGeNET), and Therapeutic Target Database (TTD). Protein-protein interaction (PPI) network was constructed by STRING. Metascape was used for Gene Ontology (GO) term enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment of core targets. Cytoscape was employed to construct the "medicinal-active component-target-disease" network and “active component-target-pathway” network. AutoDock was applied for molecular docking. Finally, animal experiment was carried out to validate the mechanism of Fangji Fulingtang in treatment of AKI.
Result
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A total of 137 active components and 858 targets of Fangji Fulingtang, 1 294 targets of AKI, and 267 targets of Fangji Fulingtang in the treatment of AKI were screened out. Phosphoinositide-3-kinase regulatory subunit 1 (PIK3R1), phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA), proto-oncogene tyrosine protein kinase (SRC), protein kinase B1 (Akt1), and mitogen-activated protein kinase 3 (MAPK3) were the key anti-AKI targets of Fangji Fulingtang, which were involved in 1 609 GO terms, particularly cell response to lipids, membrane rafts, and protein kinase activity, and 140 KEGG pathways such as PI3K/Akt signaling pathway, chemokine signaling pathway, and Toll-like receptor signaling pathway. Molecular docking showed that the core active components had strong binding affinity to the key targets. The hematoxylin and eosin (HE) staining results indicated that Fangji Fulingtang can significantly improve the pathological state and the serological results suggested that the levels of serum creatinine (SCr) and blood urea nitrogen (BUN) were significantly reduced.
Conclusion
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This study clarified the mechanism of Fangji Fulingtang in the treatment of AKI and found that Fangji Fulingtang had the multi-component, multi-target, and multi-pathway characteristics in the treatment of AKI. The result lays a foundation for further study of its specific mechanism.
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references
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