摘要
目的:探索分析近年来心肌炎生物标志物的研究热点。方法:选用PubMed数据库,检索式为"Biomarkers"[Mesh] AND "Myocarditis"[Mesh],检索结果采用书目信息挖掘系统(BICOMS)软件进行文献计量学分析,使用gCLUTO 2.1软件进行双向聚类及可视化分析。结果:共检索到文献592篇,统计分析后划分为以下6个主题:规范使用生物计算机语言能更好的在生物医学数据库中检索到目标文献;4-1BB、CD11b(+)单核细胞、CCR1拮抗剂通过激活T细胞的免疫应答对抗心肌炎;PubTator软件有助于检索专业医学数据;IL-33、IL-22对由柯萨奇病毒所致的病毒性心肌炎有保护作用;髓间充脂干细胞、联合治疗CTLA4Ig与ICOSIg、CCR5三者均能对抗自身免疫性心肌炎;利用核磁成像对MINCOA及心肌炎患者诊断与治疗。结论:双向聚类分析方法很好地体现了当前心肌炎生物标志物领域的研究热点与发展趋势。
Objective:To explore and analyze the hotspots of myocarditis biomarkers in recent years.Method:The PubMed database was selected and retrieved as“Biomarkers”[Mesh]AND“Myocarditis”[Mesh].The retrieval results were analyzed by bibliographic metrology using bibliographic information mining system(BICOMS),and bidirectional clustering and visual analysis by gCLUTO 2.1 software.Result:A total of 592 literatures were retrieved,and the statistical analysis was divided into the following six topics:standardized use of biological computer language to better retrieve the target literature in the biomedical database;4-1BB,CD11b(+)monocytes and CCR1 antagonism antagonistic myocarditis by activating T-cell immune response;PubTator software help to retrieve professional medical data;IL-33 and IL-22 have protective effects on viral myocarditis caused by Coxsackie virus;mesenchymal stem cell,combined treatment of CTLA4Ig and ICOSIg,CCR5 can fight against autoimmune myocarditis;using NMR imaging for diagnosis and treatment of MINCOA with myocarditis patients.Conclusion:The bidirectional clustering analysis method well reflects the current research hotspot and development trend of myocarditis biomarkers.
作者
陈凯明
CHEN Kaiming(Affiliated Central Hospital of Shenyang Medical College,Shenyang 110024,China)
出处
《中国医学创新》
CAS
2018年第3期143-145,共3页
Medical Innovation of China
关键词
心肌炎
生物标志物
双向聚类分析
Myocarditis
Biomarkers
Bidirectional clustering analysis