Signature of gene expression profile of liver sinusoidal endothelial cells in nonalcoholic steatohepatitis.
Signature of gene expression profile of liver sinusoidal endothelial cells in nonalcoholic steatohepatitis.
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非酒精性脂肪性肝炎肝窦内皮细胞基因表达谱特征
DOI：
10.3389/fcell.2022.946566
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发表时间：
2022
影响因子：
5.5
通讯作者：
Liu, Yulan
中科院分区：
文献类型：
--
作者：
Wang, Yang;Zhang, Yifan;Li, Yimin;Liu, Yun;Liu, Yulan
关键词：
Background: There has been emerging evidence that liver sinusoidal endothelial cells (LSECs) play an important role in the pathogenesis of nonalcoholic steatohepatitis (NASH). This study aims to figure out the signature of the gene expression profile of LSECs in NASH and to explore potential biomarkers related to damaged LSECs in NASH. Methods and materials: Animal experiments were performed to demonstrate the significant structural damage of LSECs in the NASH model. To further understand the functional changes of these damaged LSECs in NASH, we used the public GEO database that contained microarray data for the gene expression of LSECs in NASH and normal mouse liver. Differentially expressed genes (DEGs) were analyzed, and further Gene Ontology (GO) enrichment analysis was performed to understand the functional changes. The hub genes were then identified and validated via external GEO databases. Results: There was significant structural damage to LSECs in the NASH model, accompanied by remarkable functional changes of LSECs with 174 DEGs (156 upregulated and 18 downregulated genes). The functions of these DEGs were mainly enriched in the inflammatory reactions and immune responses. Nine specifically expressed hub genes were identified. Among them, CCL4 and ITGAX showed the most significant correlation with NASH, with AUROC of 0.77 and 0.86, respectively. The protein–protein interaction network, mRNA–miRNA interaction network, and ceRNA network were further predicted. Conclusion: LSECs show significant structural damage and functional changes in NASH. The LSEC-related DEGs, such as CCL4 and ITGAX, might be promising biomarkers as well as potential treatment targets for NASH.
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影响因子：
3.7
作者：
Baker SS;Baker RD;Liu W;Nowak NJ;Zhu L
通讯作者：
Zhu L
影响因子：
7.4
作者：
Cheng Q;Chen X;Wu H;Du Y
通讯作者：
Du Y
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影响因子：
14.9
作者：
Li JH;Liu S;Zhou H;Qu LH;Yang JH
通讯作者：
Yang JH
影响因子：
3.7
作者：
Kita Y;Takamura T;Misu H;Ota T;Kurita S;Takeshita Y;Uno M;Matsuzawa-Nagata N;Kato K;Ando H;Fujimura A;Hayashi K;Kimura T;Ni Y;Otoda T;Miyamoto K;Zen Y;Nakanuma Y;Kaneko S
通讯作者：
Kaneko S
影响因子：
24.5
作者：
Dufour, Jean-Francois;Caussy, Cyrielle;Loomba, Rohit
通讯作者：
Loomba, Rohit