基于生物信息学对扩张型心肌病与慢性心力衰竭共同生物标志物的预测*

目的：通过生物信息学的方法预测扩张型心肌病（DCM）与慢性心力衰竭（CHF）发病的共同生物标志物， 为临床上2 种疾病的发病及相关性奠定理论基础。方法：从Gene Expression Omnibus（GEO）数据库下载芯片数 据GSE3585，此为DCM和正常对照组原始数据，同时下载芯片数据GSE76701，此为CHF 和对照组原始数据。 通过R软件分析获得DCM和CHF 发病的差异表达基因，并获得2 种疾病发病的共同差异表达基因，进一步对共 同差异表达基因进行GO 和KEGG富集分析，构建差异表达基因的PPI 相互作用网络图，获得扩张型心肌病和心 衰发病的共同关键基因。结果：DCM的差异表达基因有240 个，其中141 个上调基因，99 个下调基因，CHF 的 差异表达基因有654 个，其中355 个上调基因，299 个下调基因。DCM和CHF 共同的差异表达基因有36 个，其中 19 个上调基因，17 个下调基因。GO 分析显示，差异表达基因主要集中在12 种不同的生理、病理过程中，KEGG 分析获得差异表达基因参与的主要信号通路为5 条，预测7 个关键差异表达基因，分别为：CD163、KYVE1、 MRC1、VSIG4、FCER1G、S100A9、F13A1。结论：该研究初步探讨了DCM与CHF 两种疾病发病分子机制， 获得了两种疾病发病的共同差异表达基因，仍需进一步的实验研究对基因的表达和临床病理特征的相关性进行验 证。

Bioinformatics-based prediction on common key genes of dilated cardiomyopathy and heart failure*

Objective To screen potential common hub genes relating to dilated cardiomyopathy（ DCM） and chronic heart failure（ CHF） by using the bioinformatics methods . Method The Gene Expression Omnibus（ GEO） dataset GSE3585 of DCM and normal controls were downloaded from GEO database. The GSE76701 dataset of CHF and healthy controls were also obtained. Differentially expressed genes（ DEGs） of the DCM and CHF datasets and the common genes between them were obtained. Go and KEGG enrichment analysis of common differentially expressed genes were further carried out. A protein-protein interaction network was constructed to define the common hub genes of both DCM and CHF. Results Two hundred and forty DEGs were obtained in the DCM （141 upregulated and 99 down-regulated）， 654 DEGs were obtained in the CHF（ 355 up-regulated and 299 down-regulated）. Thirty-six common DEGs were obtained in the DCM and CHF （19 up-regulated and 17 down-regulated）. Twelve GO terms and 5 KEGG pathways were obtained. Also， the top 7 hub genes（ CD163， LYVE1， MRC1， VSIG4， FCER1G， S100A9， F13A1） were selected with P<0.05. Conclusion The results of this study suggest that some novel gens play an important role in the occurrence and progression of DCM and CHF. More experimental and clinical trials are needed to verify our results.