B-L Bi1, H-J Wang, H Bian, Z-T Tian. 1. Department of Emergency and Severe Cases Center, General Hospital of Jinan Military Command, Jinan, Shandong Province, China. ZaotaoTian@163.com.
Abstract
OBJECTIVE: Ischemic stroke (IS) is a complex disease that resulting from the interaction of various environmental and genetic risk factors. As genetic factors exerting a direct contributory role in IS, it is one of the focus areas of identification the genetic factors of IS. This study aimed to screen bio-targets of ischemic stroke (IS), and to identify related drug molecules. MATERIALS AND METHODS: The gene expression profile GSE22255 was downloaded from Gene Expression Omnibus (GEO) database, including 20 whole blood samples from IS patients (IS group) and 20 samples from healthy controls (control group). Differentially expressed genes (DEGs) were screened out using limma package in R. Hierarchical clustering and differences between the groups analysis were conducted for confirming these DEGs. Database for Annotation, Visualization and Integrated Discovery (DAVID) and Kyoto Enrichment of Genes and Genomes (KEGG) were used to obtain the functional genes and pathways respectively. The DEGs were then entered into the WebGestalt database and related drug molecules were retrieved. RESULTS: Compared with the control group, 27 DEGs were identified from IS group including 25 up- and 2 down-regulated genes. Then functions and pathways enrichment analysis for DEGs were conducted and TNF, IL1B and TNFAIP3 were found to be both participate in apoptosis and NOD-like receptor signaling pathway. Finally, collagenase and other most-related drug molecules were identified from the DEGs. CONCLUSIONS: In addition to DEGs, several drug molecules were retrieved, which may be related with stroke. Our study provides some underlying bio-targets such as TNF, IL1B and TNFAIP3 for IS and potential drug molecules such as collagenase for the treatment of IS.
OBJECTIVE:Ischemic stroke (IS) is a complex disease that resulting from the interaction of various environmental and genetic risk factors. As genetic factors exerting a direct contributory role in IS, it is one of the focus areas of identification the genetic factors of IS. This study aimed to screen bio-targets of ischemic stroke (IS), and to identify related drug molecules. MATERIALS AND METHODS: The gene expression profile GSE22255 was downloaded from Gene Expression Omnibus (GEO) database, including 20 whole blood samples from IS patients (IS group) and 20 samples from healthy controls (control group). Differentially expressed genes (DEGs) were screened out using limma package in R. Hierarchical clustering and differences between the groups analysis were conducted for confirming these DEGs. Database for Annotation, Visualization and Integrated Discovery (DAVID) and Kyoto Enrichment of Genes and Genomes (KEGG) were used to obtain the functional genes and pathways respectively. The DEGs were then entered into the WebGestalt database and related drug molecules were retrieved. RESULTS: Compared with the control group, 27 DEGs were identified from IS group including 25 up- and 2 down-regulated genes. Then functions and pathways enrichment analysis for DEGs were conducted and TNF, IL1B and TNFAIP3 were found to be both participate in apoptosis and NOD-like receptor signaling pathway. Finally, collagenase and other most-related drug molecules were identified from the DEGs. CONCLUSIONS: In addition to DEGs, several drug molecules were retrieved, which may be related with stroke. Our study provides some underlying bio-targets such as TNF, IL1B and TNFAIP3 for IS and potential drug molecules such as collagenase for the treatment of IS.