个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:第四军医大学
学位:博士
所在单位:人工智能学院
学科:生物医学工程
办公地点:大连理工大学创新园大厦B1202
联系方式:sunck2@dlut.edu.cn
电子邮箱:sunck2@dlut.edu.cn
Integrated network analysis reveals potentially novel molecular mechanisms and therapeutic targets of refractory epilepsies
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论文类型:期刊论文
发表时间:2017-04-07
发表刊物:PLOS ONE
收录刊物:SCIE、PubMed
卷号:12
期号:4
页面范围:e0174964
ISSN号:1932-6203
摘要:Epilepsy is a complex neurological disorder and a significant health problem. The pathogenesis of epilepsy remains obscure in a significant number of patients and the current treatment options are not adequate in about a third of individuals which were known as refractory epilepsies (RE). Network medicine provides an effective approach for studying the molecular mechanisms underlying complex diseases. Here we integrated 1876 disease-gene associations of RE and located those genes to human protein-protein interaction (PPI) network to obtain 42 significant RE-associated disease modules. The functional analysis of these disease modules showed novel molecular pathological mechanisms of RE, such as the novel enriched pathways (e.g., "presynaptic nicotinic acetylcholine receptors", "signaling by insulin receptor"). Further analysis on the relationships between current drug targets and the RE-related disease genes showed the rational mechanisms of most antiepileptic drugs. In addition, we detected ten potential novel drug targets (e.g., KCNA1, KCNA4-6, KCNC3, KCND2, KCNMA1, CAMK2G, CACNB4 and GRM1) located in three RE related disease modules, which might provide novel insights into the new drug discovery for RE therapy.