Abstract

Background Yinchen Wuling powder is often used to treat clinical hyperlipidemia, although its mechanism of action remains unclear. In this study, we aimed to investigate the active ingredients found in Yinchen Wuling powder and find its mechanism of action when treating hyperlipidemia, using a combination of network pharmacology, molecular docking, and molecular dynamics simulation approaches. Methods The TCMSP database was used to obtain the principle active ingredients found in Yinchen Wuling powder and the NCBI and DisGeNet databases were used to obtain the main target genes involved in hyperlipidemia, and the intersectional targets were obtained by EXCEL. We also used Cytoscape 3.7.2 software to construct a “Traditional Chinese Medicine-Active Ingredient-Target” network and use STRING platform to conduct “protein-protein interactional” (PPI) analyses on the intersection targets. Bioconductor software and RX 64 4.0.0 software were then used to perform GO functional enrichment analysis and KEGG pathway enrichment analysis on the targets. Molecular docking of core protein-ligand interactions was modeled using AutoDock Vina software. A simulation of molecular dynamics was conducted for the optimal core protein-ligand obtained by molecular docking using Amber18 software. Results A total of 63 active ingredients were found in Yinchen Wuling powder, corresponding to 175 targets, 508 hyperlipidemia targets, and 55 intersection targets in total. Cytoscape 3.7.2 showed that the key active ingredients were quercetin, isorhamnetin, taxifolin, demethoxycapillarisin, and artepillin A. The PPI network showed that the key proteins involved were AKT1, IL6, VEGFA, and PTGS2. GO enrichment analysis found that genes were enriched primarily in response to oxygen levels and nutrient levels of the vesicular lumen and were associated with membrane rafts. These were mainly enriched in AGE-RAGE (advanced glycation end products-receptor for advanced glycation end products) signaling pathway in diabetic complications, fluid shear stress, and atherosclerosis, as well as other pathways. The molecular docking results indicated key binding activity between PTGS2-quercetin, PTGS2-isorhamnetin, and PTGS2-taxifolin. Results from molecular dynamics simulations showed that PTGS2-quercetin, PTGS2-isorhamnetin, and PTGS2-taxifolin bound more stably, and their binding free energies were PTGS2-quercetin -29.5 kcal/mol, PTGS2-isorhamnetin -32 kcal/mol, and PTGS2-taxifolin -32.9 kcal/mol. Conclusion This study is based on network pharmacology and reveals the potential molecular mechanisms involved in the treatment of hyperlipidemia by Yinchen Wuling powder.

Highlights

  • Hyperlipidemia represents a major global health problem and is caused by abnormal fat metabolism or its transport throughout the body, resulting in a variety of lipid structural disorders in plasma

  • The protein targets found in the TCMSP database were entered into the Uniprot database for normalization, and a total of 435 gene targets were obtained, including 20 gene targets in Atractylodes lancea, 23 gene targets in Poria, 57 gene targets in Cinnamomi ramulus, 317 in Artemisia capillaris herba, 8 gene targets in Alismatis rhizoma, and 10 gene targets in Polyporus umbellatus

  • We used Autodock software to dock at the molecular level the three active ingredients having the highest degree values with the four core proteins within the protein-protein interactional” (PPI) network (AKT1, IL6, PTGS2, and VEGFA)

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Summary

Introduction

Hyperlipidemia represents a major global health problem and is caused by abnormal fat metabolism or its transport throughout the body, resulting in a variety of lipid structural disorders in plasma. There have been increasing clinical reports and experiments involving the treatment of hyperlipidemia with Yinchen Wuling powder; Zhang [5] reports the use of YCWL to treat hyperlipidemia and found that it could improve patient symptoms and effectively regulate blood lipids, with few adverse side effects and enjoyed high patient compliance. We aimed to investigate the active ingredients found in Yinchen Wuling powder and find its mechanism of action when treating hyperlipidemia, using a combination of network pharmacology, molecular docking, and molecular dynamics simulation approaches. This study is based on network pharmacology and reveals the potential molecular mechanisms involved in the treatment of hyperlipidemia by Yinchen Wuling powder

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