Background: Huo Luo Xiao Ling Dan (HLXLD), a famous Traditional Chinese Medicine (TCM) classical formula, possesses anti-atherosclerosis (AS) activity. However, the underlying molecular mechanisms remain obscure.
Aim: The network pharmacology approach, molecular docking strategy, and in vitro validation experiment were performed to explore the potential active compounds, key targets, main signaling pathways, and underlying molecular mechanisms of HLXLD in treating AS.
Methods: Several public databases were used to search for active components and targets of HLXLD, as well as AS-related targets. Crucial bioactive ingredients, potential targets, and signaling pathways were acquired through bioinformatics analysis. Subsequently, the molecular docking strategy and molecular dynamics simulation were carried out to predict the affinity and stability of active compounds and key targets. In vitro cell experiment was performed to verify the findings from bioinformatics analysis.
Results: A total of 108 candidate compounds and 321 predicted target genes were screened. Bioinformatics analysis suggested that quercetin, dihydrotanshinone I, pelargonidin, luteolin, guggulsterone, and β-sitosterol may be the main ingredients. STAT3, HSP90AA1, TP53, and AKT1 could be the key targets. MAPK signaling pathway might play an important role in HLXLD against AS. Molecular docking and molecular dynamics simulation results suggested that the active compounds bound well and stably to their targets. Cell experiments showed that the intracellular accumulation of lipid and increased secretory of TNF-α, IL-1β, and MCP-1 in ox-LDL treated RAW264.7 cells, which can be significantly suppressed by pretreating with dihydrotanshinone I. The up-regulation of STAT3, ERK, JNK, and p38 phosphorylation induced by ox-LDL can be inhibited by pretreating with dihydrotanshinone I.
Conclusion: Our findings comprehensively demonstrated the active compounds, key targets, main signaling pathways, and underlying molecular mechanisms of HLXLD in treating AS. These findings would provide a scientific basis for the study of the complex mechanisms underlying disease and drug action.
Keywords: Huo Luo Xiao Ling Dan, atherosclerosis, network pharmacology, molecular docking, molecular dynamics simulation, dihydrotanshinone I, STAT3, MAPK signaling pathway