确定慢性乙型肝炎和非酒精性脂肪肝的共同发病机制:来自转录组数据的证据

Yan Yang , Feilin Ge , Shuanglin Qin , Chen Luo , Xiaohe Xiao , Zhaofang Bai , Chenglin Tang
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引用次数: 0

摘要

背景慢性乙型肝炎(CHB)与非酒精性脂肪性肝病(NAFLD)共存的现象日益普遍,不仅加重了原有的肝炎症状,而且增加了肝硬化和肝细胞癌症(HCC)的可能性。然而,其发生的共同机制仍然不清楚,本研究的目的是发现共同的发病机制。方法利用基因表达综合数据库(GEO)获得CHB(GSE83148)和NAFLD(GSE89632)的基因表达数据集。在鉴定了常见差异表达基因(DEGs)后,进行了功能注释。此外,构建了蛋白质-蛋白质相互作用(PPI)网络和关键子网络。最后,发现了hub基因,并对其转录因子进行了分析。结果在随后的分析中,共筛选出54个常见的DEG。功能分析强调了免疫在这两种疾病中的关键作用。此外,IL2RB、GZMH、NKG7、CD2、CD48、TCF19、CXCL9、CCNA2、GZMA、CD8A、TNFAIP8L2、CD3D、TYMS、PRF1和CCL5被鉴定为重要的枢纽基因,其TF分别为SP1、TP53和ESR1。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification the shared pathogenesis between chronic hepatitis B and non-alcoholic fatty liver disease: Evidence from transcriptome data

Background

The coexistence of Chronic hepatitis B (CHB) and non-alcoholic fatty liver disease (NAFLD) is becoming more prevalent, which not only exacerbates the original hepatitis symptoms, but also boosts the likelihood of cirrhosis and hepatocellular cancer (HCC). Nevertheless, the common mechanism of its occurrence is still obscure, the purpose of this study is to discover the shared pathogenesis.

Methods

The Gene Expression Omnibus (GEO) database was used to get the gene expression data sets for CHB (GSE83148) and NAFLD (GSE89632). Following the identification of the common differentially expressed genes (DEGs), functional annotation was carried out. Moreover, protein-protein interaction (PPI) network and key sub-network were constructed. Finally, the hub gene was discovered and their transcription factors (TFs) analysis were performed.

Results

In the subsequent analyses, 54 common DEGs were selected. Functional analysis highlights the crucial role of immunity in these two diseases. Furthermore, IL2RB, GZMH, NKG7, CD2, CD48, TCF19, CXCL9, CCNA2, GZMA, CD8A, TNFAIP8L2, CD3D, TYMS, PRF1 and CCL5 were identified as significant hub genes, as their TFs were SP1, TP53, and ESR1.

Conclusion

Our findings suggest that an immune-related mechanism may be the core pathogenesis of CHB and NAFLD, the clue sheds light on further mechanism research.

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