Mechanisms of QingRe HuoXue Formula in atherosclerosis Treatment: An integrated approach using Bioinformatics, Machine Learning, and experimental validation.

BACKGROUND

Atherosclerosis (AS) is the main cause of coronary heart disease, cerebral infarction, and peripheral vascular disease. QingRe HuoXue Formula (QRHXF), a common prescription of traditional Chinese medicine, has a definite effect on the clinical treatment of AS, but its mechanism remains to be further explored.

PURPOSE

The current study aimed to demonstrate the effectiveness of the QRHXF in the treatment of AS and further reveal its potential pharmacological mechanisms.

METHODS

Explore the potential mechanisms of QRHXF in treating AS through network pharmacology, machine learning, transcriptome analysis, and molecular docking, then validate them through animal experiments and PCR experiments.

RESULTS

The results indicate that through network pharmacology and machine learning methods, 10 genes including COL1A1 and CCR7 have been identified as potential candidate genes for QRHXF treatment of atherosclerosis. Molecular docking indicates that the key active compounds of QRHXF have good binding affinity with the predicted genes. Two key genes, COL1A1 and CCR7, were identified through transcriptome sequencing analysis of the aortic tissue of APOE mice in the AS model. Finally, the animal and PCR experiment found that QRHXF can effectively reduce the formation of aortic plaques in APOE mice of the AS model, lower blood lipid levels in mice, and upregulate the mRNA expression level of COL1A1, promoting the formation of fibrosis within plaques.

CONCLUSIONS

We revealed the inflammatory and immune pathways underlying QRHXF treatment for AS, and verified through transcriptome sequencing and experiments that QRHXF can promote the expression of COL1A1, thereby increasing the stability of AS plaques.