Xin Zhang, Wenna Chen. Preliminary study on the potential molecular net work interaction of ferroptosis in liver transcriptome of ApoE-/-hyperlipidemic mice. [J]. Journal of Shanxi Agricultural Sciences 47(5):548-553(2022)
DOI:
Xin Zhang, Wenna Chen. Preliminary study on the potential molecular net work interaction of ferroptosis in liver transcriptome of ApoE-/-hyperlipidemic mice. [J]. Journal of Shanxi Agricultural Sciences 47(5):548-553(2022) DOI: 10.13406/j.cnki.cyxb.002701.
Preliminary study on the potential molecular net work interaction of ferroptosis in liver transcriptome of ApoE-/-hyperlipidemic mice
=0.000)。HE染色结果表明,模型组与对照组相比肝细胞肿胀变性明显且伴有大量脂肪空泡。肝脏转录组分析筛选出3个铁死亡差异基因铁反应元件结合蛋白2(iron-responsive element-binding protein 2,IREB2)、铁蛋白轻链(ferritin light chain,FTL)、铁蛋白重链(ferritin heavy chain,FTH1),PPI网络分析并在肝脏差异基因中校对,共筛选出铁死亡相关差异基因23个,差异基因中上调基因6个,下调基因20个。网络关系分析表明,铁死亡相关差异基因蛋白相互关联并彼此调节。利用DAVID数据库共筛选出36个生物过程和5条信号通路参与铁死亡。
To analyze the biological processes and signal pathways of differential genes related to ferroptosis in the liver of ApoE
-/-
hyperlipidemic mice
to construct a molecular regulatory network of liver ferroptosis
and to reveal the pathogenesis of hyperlipidemia at the transcriptional level.
Methods
:
2
This study selected 7 C57BL/6J mice as control group and 7 ApoE
-/-
mice as model group. The control group and model group were fed with normal diet and high-fat diet respectively. After 16 weeks
the serum levels of triglyceride (TG)
cholesterol (TC)
low-density lipoprotein (LDL-C) and high-density lipoprotein (HDL-C) were detected
and the liver samples were analyzed by HE staining and transcriptome analysis. The distribution of ferroptosis-related differential genes was analyzed by Graph-Pad Prism 8.0.2 software. The protein-protein interaction network model was constructed by STRING11.0 platform. GO biological function enrichment and KEGG pathway enrichment were carried out in DAVID database. The ClueGO plug-in of Cytoscape was used to visually analyze the function and metabolic pathway of ferroptosis-related differential genes.
Results
:
2
Compared with the control group
TG (1.19±0.09)
TC (2.31±0.15)
LDL-C (0.29±0.05)
HDL-C (1.68±0.06)
the levels of TG (1.75±0.08)
TC (38.80±4.03)
LDL-C (36.27±3.80) in the model group significantly increased (
P
=0.000
0.000
0.000)
and the level of HDL-C (1.26±0.05) significantly decreased (
P
=0.000) . The results of HE staining showed that compared with the control group
the swelling and degeneration of hepatocytes in the model group was obvious and accompanied by a large number of fat vacuoles. Three differential genes of ferroptosis
IREB2 (iron-responsive element-binding protein 2)
FTL (ferritin light chain)
and FTH1 (ferritin heavy chain 1)
were screened by liver transcriptome analysis and calibrated in liver differential genes by PPI network analysis. A total of 23 ferroptosis related genes were screened
including6up-regulatedgenesand20down-regulated genes. Network relationship analysis showed that ferroptosis-related differential gene proteins were interrelated and regulated with each other. Through DAVID database
36 biological processes and 5 signaling pathways participating in ferroptosis were screened out.
Conclusion
:
2
It is revealed that ferroptosis in liver tissue can regulate hyperlipidemia through multi-processes and multi-pathways
and high fat can promote the occurrence of ferroptosis
which provides a reference basis for revealing the pathogenesis of hyperlipidemia at the transcriptional level.
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