Chinese Medical Sciences Journal ›› 2021, Vol. 36 ›› Issue (1): 50-56.doi: 10.24920/003711

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  1. 1天津市第一中心医院 血管外科,天津 300192,中国
    2哈尔滨医科大学附属第二医院 血管外科,哈尔滨 150001,中国
    3哈尔滨医科大学附属第二医院 牙周病及口腔黏膜科,哈尔滨 150001,中国
  • 收稿日期:2020-01-08 接受日期:2020-05-23 出版日期:2021-03-17 发布日期:2021-03-17
  • 通讯作者: 何菊

Identify Candidate Genes in the Interaction between Abdominal Aortic Aneurysm and Type 2 Diabetes Mellitus by Using Biomedical Discovery Support System

Honglin Zu1,Likun Hou1,Hongwei Liu2,Yuanbo Zhan3,Ju He1,*()   

  1. 1Department of Vascular Surgery, Tian Jin First Center Hospital, Tianjin 300192, China
    2Department of Vascular Surgery, 3Department of Periodontology and Oral Mucosa; the Second Affiliated Hospital of Harbin Medical University, Harbin 150001, China
    3Department of Periodontology and Oral Mucosa; the Second Affiliated Hospital of Harbin Medical University, Harbin 150001, China
  • Received:2020-01-08 Accepted:2020-05-23 Published:2021-03-17 Online:2021-03-17
  • Contact: Ju He


目的 应用生物信息学方法识别并挖掘腹主动脉瘤和糖尿病相互作用的候选基因。

方法 采用封闭的生物医学发现支持系统(Biomedical Discovery Support System,BITOLA),筛选与腹主动脉瘤和糖尿病有关的“基因或基因产物”作为候选中间分子(candidate intermediate molecules,CIMs)。通过GSE13760,GSE7084,GSE57691,GSE47472数据集筛选分别与腹主动脉瘤和糖尿病发病相关的差异表达基因(differentially expressed genes,DEGs)。然后,我们通过Venny2.1在线工具,辅以人工阅读文献,筛选出与CIMs重合的差异性表达基因。最后,应用基因表达人体电子荧光可视化浏览器(Human eFP Browser)观测所筛选出的基因的组织特异性表达,确定在动脉和胰腺组织均高表达的候选基因。

结果 应用封闭的生物医学发现支持系统筛选出86个CIMs。在GSE13760,GSE7084,GSE57691,GSE47472数据集与腹主动脉瘤和糖尿病相关的差异表达基因中,我们发现GSE7084数据集中的8个基因(ISG20,ITGAX,DSTN,CCL5,CCR5,AGTR1,CD19,CD44)和GSE13760数据集中的2个基因(PSMD12,FAS)与86个CIMs交叉重叠。通过电子荧光可视化人体基因表达象形图进行组织特异性验证发现,基因PSMD12在主动脉和胰腺组织中均有高表达。

结论 通过生物信息文本挖掘技术我们提出假说,PSMD12可能参与腹主动脉瘤与糖尿病的相互作用,这可能成为研究这两种疾病新型治疗手段的新线索。

关键词: 腹主动脉瘤, 2型糖尿病, 生物医学发现支持系统, 文本挖掘, 基因表达谱


Objective To explore the candidate genes that play significant roles in the interconnection between abdominal aortic aneurysm (AAA) and type 2 diabetes mellitus (DM).

Methods We used the Biomedical Discovery Support System (BITOLA) to screen out the candidate intermediate molecular (CIM) “Gene or Gene Product” that are related to AAA and DM. The dataset of GSE13760, GSE7084, GSE57691, GSE47472 were used to analyze the differentially expressed genes (DEGs) of AAA and DM compared to the healthy status. We used the online tool of Venny 2.1 assisted by manual checking to identify the overlapped DEGs with the CIMs. The Human eFP Browser was applied to examine the tissue specific expression levels of the detected genes in order to recognize strong expressed genes in both human artery and pancreatic tissue.

Results There were 86 CIMs suggested by the closed BITOLA system. Among all the DEGs of AAA and DM, 8 genes in GSE7084 (ISG20, ITGAX, DSTN, CCL5, CCR5, AGTR1, CD19, CD44) and 2 genes in GSE13760 (PSMD12, FAS) were found to be overlapped with the 86 CIMs. By manual checking and comparing with tissue-specific gene data through Human eFP Browser, the gene PSMD12 (proteasome 26S subunit, non-ATPase 12) was recognized to be strongly expressed in both the aorta and pancreatic tissue.

Conclusion We proposed a hypothesis through text mining that PSMD12 might be involved or potentially involved in the interconnection between AAA and DM, which may provide a new clue for studies on novel therapeutic strategies for the two diseases.

Key words: abdominal aortic aneurysm, diabetes mellitus, Biomedical Discovery Support System, text mining, gene expression profile

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