Study on the Effects of Danhong Injection on Gene Expression Profile of Acute Myocardial Infarction Model Rats by Gene Chip Technique
- VernacularTitle:采用基因芯片技术研究丹红注射液对急性心肌梗死模型大鼠基因表达谱的影响
- Author:
Yang SHI
1
,
2
,
3
;
Guanwei FAN
3
,
4
;
Baolin HOU
1
,
2
;
Dengfeng FAN
1
,
2
;
Wei ZHANG
1
;
Xiliang LU
1
;
Xiaoli CHEN
1
;
Min HE
2
Author Information
1. Dept. of Pharmacy，Karamay Municipal People’s Hospital，Xinjiang Karamay 834000，China
2. Dept. of Pharmacy，Karamay Hospital of TCM，Xinjiang Karamay 834000，China
3. Tianjin Key Laboratory of Modern Chinese Medicine/State Key Lab Breeding Base，Tianjin 300193，China
4. Medical Experiment Center，the First Affiliate d Hospital of Tianjin Uni versity of TCM，Tianjin 300193，China
- Publication Type:Journal Article
- Keywords:
Gene chip technique;
Danhong injection;
Acute myocardial infarction;
Differential expression;
MicroRNA;
Messenger RNA;
Signaling pathway;
Inflammation;
Rat
- From:
China Pharmacy
2019;30(22):3042-3048
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE： To investigate the effects of Danhong injection （DHI） on gene expression profile of acute myocardial infarction （AMI） model rats. METHODS： Male SD rats were randomly divided into sham operation group， model group and DHI group （0.76 mL/kg）， with 10 rats in each group. AMI model was established by ligation of left anterior descending coronary artery in model group and DHI group. After modeling， sham operation group and model group were given constant volume of normal saline intramuscularly， and DHI group was given relevant medicine intramuscularly， once a day， for consecutive 14 days. After last administration， myocardial tissue in the marginal zone of infarction was separated. The change of gene expression profile was detected by gene chip technique. Using fold-change of relative expression as index， differentially expressed microRNA （miRNA） were screened. On the basis of retrieving their corresponding genes， gene ontology （GO） and KEGG pathway enrichment analysis were carried out by using DAVID bioinformatics resource database and KEGG pathway database， respectively. TargetScan database was used to predict the target gene messenger RNA （mRNA） corresponding to differentially expressed miRNA. Cytoscape 3.6.1 software was used to construct and analyze the miRNA-mRNA network. Agilent GeneSpring GX v11.5 software was used to screen target genes and miRNA related to inflammation in the above networks. RESULTS： Compared with sham operation group， there were 22 differentially expressed miRNAs in model group， 5 up-regulated and 17 down-regulated. Compared with model group， there were 26 differentially expressed miRNAs in DHI group， and all of them were up-regulated. The differentially expressed miRNAs related to DHI therapy for AMI included rno-let-7a-5p， rno-let-7d-5p， rno-let-7f-5p， rno-miR-26b-5p， rno-miR-29b-3p， cel-miR-39-3p， cel-miR-39-5p， rno-miR-142-5p， rno-miR-191a-5p， rno-miR-409a-3p. Results of GO analysis and KEGG pathway enrichment analysis showed that differentially expressed miRNAs were mainly concentrated in membrane-bound organelles， cytoplasm， endometrial system and other cell components. The molecular functions such as protein binding and ion binding were exerted through biological processes such as anatomical structure development， multicellular tissue development and development process，which were mainly enriched in calcium signaling pathway， PPAR signaling pathway， VEGF signaling pathway， cell apoptosis， glycosylphosphatidylinositol anchored biosynthesis， valine， leucine and isoleucine degradation， etc. miRNA-mRNA network analysis showed that there were 25 target gene mRNAs corresponding to differentially expressed miRNA and 24 miRNAs related to it. There were 6 inflammation-related target genes （IL6， IL1b， TNF， TLR4， CRP， CXCL12） in this network， involving 19 differentially expressed miRNAs. CONCLUSIONS： The therapeutic effect of DHI on AMI may be related to regulating the expression of related miRNA， affecting signal transduction of calcium ion， PPAR and VEGF pathways， and regulating the secretion of inflammatory markers such as interleukin， chemokine and C-reactive protein.
