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| Effect and Signaling Pathways of Nelumbinis Folium in the Treatment of Hyperlipidemia Assessed by Network Pharmacology |
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| DOI：10.4103/2311-8571.328619 |
| KeyWord:Active components, hyperlipidemia, molecular docking, Nelumbinis folium, network pharmacology, signaling pathway |
| Author | Institution |
| Qiu Panab |
a.Cardiovascular Department, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China; b.Department of Pharmacology, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China |
| Zhi‑Qing Zhangb |
b.Department of Pharmacology, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China |
| Cong‑Yang Tianb |
b.Department of Pharmacology, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China |
| Tong Yub |
b.Department of Pharmacology, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China |
| Ran Yangc |
c.Cardiovascular department, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China |
| Xin‑Lou Chaib |
b.Department of Pharmacology, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China |
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| Abstract: |
| Objective: In this study, the effects and signaling pathways of Nelumbinis folium in the treatment of hyperlipidemia were analyzed based
on network pharmacology and molecular docking. Materials and Methods: The main components and targets of Nelumbinis folium were
searched through traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP), and the active components
were selected according to their oral availability and drug‑like properties. The main targets of hyperlipidemia were identified using the
DisGeNET database. Venny 2.1.0 was used to take the intersection of both targets, which were submitted to the STRING database to construct
the protein-protein interaction network model. The Database for Annotation, Visualization and Integrated Discovery 6.7 was used to conduct
gene ontology and Kyoto Encyclopedia of Gene and Genome pathway enrichment analyses of the targets. Cytoscape 3.7.1 was used to construct
the component‑target‑pathway network. AutoDock Vina molecular docking software was used to study the binding effect and mechanism of
the core components and targets of N. folium. Results: Fifteen active components of N. folium and 195 potential targets were selected through
TCMSP, whereas 4216 targets for hyperlipidemia were selected from DisGeNET. Further, 138 potential cross-targets of hyperlipidemia were
identified. A network of component‑target‑pathway was constructed. Quercetin, kaempferol, and isorhamnetin were the core components,
which played an important role in anti‑hyperlipidemia, mainly through the non‑alcoholic fatty liver disease and insulin resistance (IR)signaling
pathways. Molecular docking resultsshowed that quercetin had the lowest docking energies with peroxisome proliferator activated receptor α,
peroxisome proliferator‑activated receptor γ, INSR (‑6.20,‑10.00, and ‑8.40 (kcal/mol, respectively). The binding mode was mainly hydrogen
bonds and van der Waals forces. Conclusions: The active components of N. folium may regulate lipid metabolism by participating in the
signaling pathways of non‑alcoholic fatty liver disease and IR. |
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