Investigating the Hypolipidemic Mechanism of Anthocyanins Combined with Allicin in Rats Using Network Pharmacology

Abstract

Objectives: Using network pharmacology methods, investigate the potential lipid-lowering mechanism of the combination of anthocyanins and allicin in hyperlipidemic rats. Methods: Apply databases such as Pubchem, SwissTargetPrediction, TCMSP, DrugBank and BATMAN-TCM to predict potential targets for anthocyanins and allicin. Additionally, targets connected to hyperlipidemia were found in multiple databases (GeneCards, OMIM, Drugbank, and TTD). Upload the discovered drug-disease intersection targets into the database of STRING in order to construct a common target protein-protein interactions network (PPI). To find important targets, a PPI network analysis was built using Cytoscape 3.9.1. The Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enriched and analyzed these common drug-disease targets. In order to further confirm the key targets of anthocyanins combined with allicin in hyperlipidemia, animal experiments were conducted. Results: There are 63 potential targets for the combined effect of anthocyanins and allicin on hyperlipidemia. The PPI topology analysis results found that TNF, IL-6, AKT1, PTGS2, GSK3B, EGFR, etc. are the main key targets. The main pathways included PI3K-Akt, JAK-STAT, Fluid shear stress and atherosclerosis, HIF-1and MAPK signaling pathway. The animal experiments results revealed that anthocyanins combined with allicin can improve blood lipid levels in hyperlipidemic rats and decrease the serum levels of inflammatory factors. Conclusion: Anthocyanins combined with allicin can intervene in hyperlipidemia through a variety of targets and pathways. This research offers a theoretical reference for the investigation of the pathogenesis of hyperlipidemia and the production of functional foods.