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  1. Yan Gao1,
  2. Li Fan2,
  3. Xue-Chun Lu3,
  4. Jian Cao2,
  5. Xia Zhao1,
  6. Jing Pei1,
  7. Xiao-yan Meng1,
  8. Li Fan4
  1. 1Third Department of Cadre Ward, General Hospital of Jinan Military Region
  2. 2First Geriatric Cardiology Division, PLA General Hospital
  3. 3Department of Geriatric Hematology, PLA General Hospital
  4. 4First Geriatric Cardiology Division, Chinese PLA General Hospital


    Objectives To explore the drug interactions between atorvastatin and other drugs based on bioinformatics.

    Methods The human umbilical vein endothelial cell line EA. hy 926 cultured in vitro was incubated with atorvastatin (10−5 mol/l) for 24 h. Total RNA from these cells was extracted and performed for gene expression profiling. The SAM microarray analysis software was used to analyse the differenced genes between the control and experiment groups. Gene set enrichment analysis (GSEA) was used for pathway analysis, and gene ontology (GO) analysis. The Connectivity Map (Cmap) was used to screen the interaction drugs with atorvastatin.

    Results Compared with the control cells, 649 genes were detected to have marked changes with 295 up-regulated and 354 down-regulated expression in atorvastatin treated EA. hy 926 cells. 13 pathways including coagulation in upregulated gene expression and 113 pathways mainly enrichment in cell cycle in downregulated gene expression using GSEA showed statistical significance. In Cmap analysis the profile of the HDAC inhibitor MS-275, trichostatin A, Vorinostat and resveratrol, Phenothiazines derivatives were found to be highly similar to that of atorvastatin (p<0.001).

    Conclusions The study of drug interactions based on the bioinformatics is feasible, atorvastatin have a synergistic effect with histone deacetylase inhibitors, resveratrol and phenothiazine derivatives.

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