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International Journal of Pharmacology

Year: 2013 | Volume: 9 | Issue: 6 | Page No.: 366-372
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Authors

Jianhua Chen

Lin Yang

Dengtang Liu

Donghong Cui

Shunying Yu

Yan Li

Haisu Wu

Ying Yue

Yongyong Shi

Yifeng Xu

Keywords

The Metabolic Syndrome (MetS) could significantly increase the risk of morbidity and mortality from type II diabetes and cardiovascular disease. We carried out a systemical study to investigate the potential drug targets for effective treatment of clozapine-induced MetS. In our study, the differentially-expressed miRNAs (DERs) between schizophrenia patients with MetS and without MetS after the treatment of clozapine were identified. Target genes of these miRNAs were then retrieved from two miRNA databases (miRecods and miRTarBase) to identify the underlying mechanisms involved in the development of MetS. Interactors of the target genes were identified and a network was constructed using Osprey. Functional enrichment analysis was performed for all the genes in the network with DAVID (Database for Annotation, Visualization and Integrated Discovery). The results revealed that 3 DERs including Hsa-miR-330-3p (p = 0.00934), has-miR-18a (p = 0.001686) and has-miR-106b (p = 0.007531)were identified. In total, 4 target genes (E2F1, CTGF, ESR1 and ITCH) shared by both databases were picked out. What’s more, 8 significant pathways were revealed in the interaction network and the most significant pathway was positive regulation of macromolecule metabolic process (FDR = 1.80E-15). In conclusion, the 3 identified miRNAs might be the potential targets for treatment of MetS. And the results of our study provide ways to monitor the progression of MetS (e.g., serum levels of proteins), predict the outcome (e.g., polymorphisms) and even block the emergence of MetS.
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How to cite this article

Jianhua Chen, Lin Yang, Dengtang Liu, Donghong Cui, Shunying Yu, Yan Li, Haisu Wu, Ying Yue, Yongyong Shi and Yifeng Xu, 2013. MicroRNA Microarray Analysis Combined with Interaction Network Analysis to Investigate the Influence of Clozapine to Metabolic Syndrome. International Journal of Pharmacology, 9: 366-372.

DOI: 10.3923/ijp.2013.366.372

URL: https://scialert.net/abstract/?doi=ijp.2013.366.372

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