非酒精性脂肪性肝病进展相关基因的生物信息学分析

doi:10.3969/j.issn.1000-8535.2018.06.005

广州医药 ›› 2018, Vol. 49 ›› Issue (6): 24-29.DOI: 10.3969/j.issn.1000-8535.2018.06.005

非酒精性脂肪性肝病进展相关基因的生物信息学分析

曹创裕, 周永健, 李瑜元

广州市第一人民医院（广州 510180）

收稿日期:2018-07-30 出版日期:2018-11-20 发布日期:2021-11-30
通讯作者: 李瑜元,E-mail：liyyliyy@tom.com
基金资助:
广东省医学科学技术研究基金（A2018058）;广州市卫生和计划生育科技项目（20181A011006）

Bioinformatics analysis of genes related to progression of nonalcoholic fatty liver disease

CAO Chuangyu, ZHOU Yongjian, LI Yuyuan

Guangzhou First People's Hospital,Guangzhou 510180,China

Received:2018-07-30 Online:2018-11-20 Published:2021-11-30

摘要/Abstract

摘要： 目的通过生物信息分析途径,从分子水平揭示非酒精性脂肪性肝病（NAFLD）的发病发展机制,为NAFLD研究提供新的思路。方法从公共数据库GEO中下载NAFLD相关的基因芯片数据GSE48452,利用Transcriptome Analysis Console软件筛选差异表达基因,FunRich软件和STRING在线分析工具对差异基因进行下一步的生物信息学分析。结果正常组与NAFLD组差异基因52个,正常组与非酒精性脂肪性肝炎（NASH）基因64个,共同差异基因15个。这些差异表达基因参与脂质转运、胆汁酸合成、脂质和脂蛋白代谢、生物氧化等过程。通过通路分析及蛋白质相互作用分析进一步筛选出与NAFLD发病发展密切相关的18个差异表达基因。结论通过生物信息学分析筛选出MSN、CDC45、ANXA5、PIK3CG和DTL基因可能为研究乃至阻断NAFLD发展进程的重要靶点,需进一步验证。

关键词: 非酒精性脂肪性肝病, 生物信息学, 基因芯片

Abstract: Objective To explore the molecular mechanism of nonalcoholic fatty liver disease （NAFLD） with bioinformatics analysis. Methods The microarray data of NAFLD were downloaded from the Gene Expression Omnibus （GEO） database and analyzed using Transcriptome Analysis Console （TAC） for screening differentially expressed genes. The further analysis of differentially expressed genes was conducted by FunRich software and the online tool STRING. Results For the comparison of control group vs. NAFLD group,52 genes have differentially expressed,while control groups vs. nonalcoholic steatohepatitis （NASH） group,64 genes have differentially expressed. 15 differentially expressed genes were found in both comparisons. These genes were involved in the biological pathway of lipid transport,bile acid biosynthesis,metabolism of lipids and lipoproteins and biological oxidations. With biological pathway analysis and protein-protein interaction analysis,18 differentially expressed genes were found closely associated with the progression of NAFLD. Conclusion MSN、CDC45、ANXA5、PIK3CG and DTL may be the important target for study the progression of NAFLD,which needs a further study to confirm.

Key words: Nonalcoholic fatty liver disease, Bioinformatics, Gene microarray

曹创裕, 周永健, 李瑜元. 非酒精性脂肪性肝病进展相关基因的生物信息学分析[J]. 广州医药, 2018, 49(6): 24-29.

CAO Chuangyu, ZHOU Yongjian, LI Yuyuan. Bioinformatics analysis of genes related to progression of nonalcoholic fatty liver disease[J]. Guangzhou Medical Journal, 2018, 49(6): 24-29.

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非酒精性脂肪性肝病进展相关基因的生物信息学分析

Bioinformatics analysis of genes related to progression of nonalcoholic fatty liver disease

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