Objective To explore the pathogenesis of the level of gene and therapeutic target genes associated with intestinal obstruction by analyzing the differential expression gene. Methods The gene expression data that came from public database gene expression omnibus （GEO） which provided adhesion formation’ gene expression data on 1， 3， 7，and 14 days after operation （n=8） and normal intestinal tissues’ gene expression data （n=2） of mouse were collected. The gene function and differential expression of genes were analyzed by using gene ontology （GO） and significance analysis of microarray （SAM）. Results There were a lot of response stimulated up-regulation of gene expression when occurrence of adhesion， and the products of these genes were distributed on cell membrane. The analysis results of gene expression at different time point after operation showed that expression up-regulated of Hmgcs 2 gene occurred on 3-14 days ofter operation and expression up-regulated of Stxbp 5 gene occurred on 14 days ofter operation. Conclusions The adhesion formation may be closely associated with the genes of response to stimulus and the gene product in membrane. The Hmgcs 2 and Stxbp 5 genes may be closely associated with the occurrence of other diseases which induced by adhesion formation.This provides a basis for the discovery of potential therapeutic targets.
Abstract： Objective To study the difference of gene expression profile of bone marrow mesenchymal stem cells （MSCs） cultured in vitro from coronary heart disease patient with or without diabetes mellitus by Affymetrix Gene array. Methods One male patient at age of 53 years with coronary heart disease and diabetes mellitus was included in this study with the diagnosis of coronary heart disease and type 2 diabetes mellitus. Another male patient at age of 51 years with coronary heart disease without diabetes mellitus was also included in this study with the diagnosis of coronary heart disease. MSCs of the two patients were isolated and purified by the methods of density gradient centrifugation with lymphocyte separation medium for human and adherent filtration. The MSCs expression profile of cytokines and signal transduction genes were examined by Affymetrix gene array. Results There were 27 functional protein genes expression in the patient with coronary heart disease and diabetes mellitus relating to cell apoptosis, cytokine, and signal transduction. Among them, the expression of 13 functional genes, including TNFRSF10B, TNFRSF21, NGF, CAV2, ITGA8, TNS1, ITGA2, AKT3, MBP, MAP2, INHBA, FST, PLA2G5, increased significantly in the patient with coronary heart disease and diabetes mellitus. However, the expression level of 14 genes, including EPR1, BIRC5, HELLS, BCL2, HGF, CASP1, SEPP1, ITGA9, MAP2K6, RUNX3, TGFBR2, RUNX2, CTNNB1, CDC42, decreased significantly. Conclusion The gene expression profile of bone marrow MSCs from coronary heart disease patient with diabetes mellitus is significantly different from the patient with coronary heart disease patient without diabetes mellitus.
This study aims to clarify host factors of IFN treatment in the treatment of chronic hepatitis B (CHB) patients by screening the differentially expressed genes of IFN pathway CHB patients with different response to interferon (IFN) therapy. Three cases were randomly selected in IFN-responding CHB patients (Rs), non-responding CHB patients (NRs) and healthy participants, respectively. The human type I IFN response RT2 profiler PCR array was used to detect the expression levels of IFN-related genes in peripheral blood monocytes (PBMCs) from healthy participants and CHB patients before and after Peg-IFN-α 2a treatment. The results showed that more differentially expressed genes appeared in Rs group than NRs group after IFN treatment. Comparing with healthy participants, IFNG, IL7R, IRF1, and IRF8 were downregulated in both Rs and NRs group before IFN treatment; CXCL10, IFIT1, and IFITM1 were upregulated in the Rs; IL13RA1 and IFI35 were upregulated in the NRs, while IFRD2, IL11RA, IL4R, IRF3, IRF4, PYHIN1, and ADAR were downregulated. The expression of IL15, IFI35 and IFI44 was downregulated by 4.09 (t = 10.58, P < 0.001), 5.59 (t = 3.37, P = 0.028) and 10.83 (t = 2.8, P = 0.049) fold in the Rs group compared with the NRs group, respectively. In conclusion, IFN-response-related gene array is able to evaluate IFN treatment response by detecting IFN-related genes levels in PBMC. High expression of CXCL10, IFIT1 and IFITM1 before treatment may suggest satisfied IFN efficacy, while high expression of IL13RA1, IL15, IFI35 and IFI44 molecules and low expression of IFRD2, IL11RA, IL4R, IRF3, IRF4, PYHIN1 and ADAR molecules may be associated with poor IFN efficacy.